bluuebunny/crossref_metadata_2025 huggingface dataset:
Endometrial Regenerative Cell-Derived Exosomes Attenuate Experimental Colitis through Downregulation of Intestine Ferroptosis
Authors: Zhu Yanglin , Qin Hong , Sun Chenglu , Shao Bo , Li Guangming , Qin Yafei , Kong Dejun , Ren Shaohua , Wang Hongda , Wang Zhaobo , Zhang Jingyi , Wang Hao
Published: August 2022

Background. Endometrial regenerative cells (ERCs) have been identified to ameliorate colitis in mice; however, whether exosomes derived from ERCs (ERC-exos) own similar effects on colitis remains unclear. Ferroptosis, an iron-dependent cell programmed death form, has been reported to promote inflammation in UC. Thus, in this study, whether ERC-exos can treat colitis and regulate intestine ferroptosis will be explored. Methods. In this study, iron, malondialdehyde (MDA) production, glutathione (GSH) synthesis, and acyl-CoA synthetase long-chain family member (ACSL) 4 and glutathione peroxidase 4 (GPX4) expressions were measured in colon samples from healthy people and UC patients to explore the effects of ferroptosis. In vitro, ERC-exos were cocultured with ferroptosis inducer erastin-treated NCM460 human intestinal epithelial cell line, and ferroptotic parameters were measured. In vivo, colitis was induced by 3% dextran sulfate sodium (DSS) in BALB/c mice, and animals were randomly assigned to normal, untreated, and ERC-exos-treated groups. The Disease Activity Index (DAI) score, histological features, tissue iron, MDA, GSH, ACSL4, and GPX4 were measured to verify the role of ERC-exos in attenuating UC. Results. Compared with healthy people, UC samples exhibited higher levels of iron, MDA, and ACSL4, while less levels of GSH and GPX4. In vitro, the CCK-8 assay showed that ERC-exos rescued erastin-induced cell death, and ERC-exos treatment significantly increased the levels of GSH and expression of GPX4, while markedly decreasing the levels of iron, MDA, and expression of ACSL4. In vivo, ERC-exos treatment effectively reduced DAI score, ameliorated colon pathological damage, and improved disease symptoms. Moreover, ERC-exos treatment further enhanced the levels of GSH and the expression of GPX4 but reduced the levels of iron, MDA, and expression of ACSL4 in the colon of colitis mice. Conclusions. Ferroptosis was involved in the pathogenesis of UC, and ERC-exos attenuated DSS-induced colitis through downregulating intestine ferroptosis. This study may provide a novel insight into treating UC in the future.
The Landscape of Early Growth Response Family Members 1-4 in Hepatocellular Carcinoma: Their Biological Roles and Diagnostic Utility
Authors: Liang Jinlong , Wang Jingyi , Zeng Jinshui , Bai Zhibo , Zheng Zhiyuan , Zheng Yue , Jiang Fengqi , Wu Di
Published: August 2022

The incidence of hepatocellular carcinoma (HCC), which is one of the most frequent types of cancer seen all over the world, is steadily growing from year to year. EGR genes are members of the early growth response (EGR) gene family. It has been shown that EGR genes play an increasingly essential role in the development of tumors and the progression of numerous malignancies. However, the possible diagnostic and prognostic roles of EGR genes in HCC have only been examined in a limited number of studies. Expression and methylation data on EGR family members were obtained from TCGA datasets. The prognostic values of EGR members were studied. Additionally, the correlations of EGR members with immune cells were assessed through the single-sample gene set enrichment analysis (ssGSEA). In this study, we found that the expression of EGR1, EGR2, EGR3, and EGR4 was distinctly decreased in HCC specimens compared with nontumor specimens. ROC assays confirmed that they have a strong ability in screening HCC specimens from nontumor specimens. According to the findings of Pearson’s correlation, EGR1, EGR2, EGR3, and EGR4 were found to have a negative association with the methylation level. Survival study revealed that EGR1, EGR2, and EGR3 were associated with the clinical outcome of HCC patients. Immune cell enrichment analysis demonstrated that the expressions of all EGR members were positively related to the levels of most types of immune cells, such as macrophages, NK cells, B cells, T cells, eosinophils, and CD8 T cells. Overall, the current work demonstrated the expression mode and prognostic value of EGR members in HCC in a comprehensive manner, offering insights for further research of the EGR family as possible clinical biomarkers in HCC.
Emerging Role of Neuron-Glia in Neurological Disorders: At a Glance
Authors: Rahman Md. Mominur , Islam Md. Rezaul , Yamin Md. , Islam Md. Mohaimenul , Sarker Md. Taslim , Meem Atkia Farzana Khan , Akter Aklima , Emran Talha Bin , Cavalu Simona , Sharma Rohit
Published: August 2022

Based on the diverse physiological influence, the impact of glial cells has become much more evident on neurological illnesses, resulting in the origins of many diseases appearing to be more convoluted than previously happened. Since neurological disorders are often random and unknown, hence the construction of animal models is difficult to build, representing a small fraction of people with a gene mutation. As a result, an immediate necessity is grown to work within in vitro techniques for examining these illnesses. As the scientific community recognizes cell-autonomous contributions to a variety of central nervous system illnesses, therapeutic techniques involving stem cells for treating neurological diseases are gaining traction. The use of stem cells derived from a variety of sources is increasingly being used to replace both neuronal and glial tissue. The brain’s energy demands necessitate the reliance of neurons on glial cells in order for it to function properly. Furthermore, glial cells have diverse functions in terms of regulating their own metabolic activities, as well as collaborating with neurons via secreted signaling or guidance molecules, forming a complex network of neuron-glial connections in health and sickness. Emerging data reveals that metabolic changes in glial cells can cause morphological and functional changes in conjunction with neuronal dysfunction under disease situations, highlighting the importance of neuron-glia interactions in the pathophysiology of neurological illnesses. In this context, it is required to improve our understanding of disease mechanisms and create potential novel therapeutics. According to research, synaptic malfunction is one of the features of various mental diseases, and glial cells are acting as key ingredients not only in synapse formation, growth, and plasticity but also in neuroinflammation and synaptic homeostasis which creates critical physiological capacity in the focused sensory system. The goal of this review article is to elaborate state-of-the-art information on a few glial cell types situated in the central nervous system (CNS) and highlight their role in the onset and progression of neurological disorders.
Optimized Luenberger Observer-Based PMSM Sensorless Control by PSO
Authors: Luo Rongfu , Wang Zenghui , Sun Yanxia
Published: August 2022

In the real applications, we found that it is difficult to achieve good control performance through manually tuning proportional–integral (PI) parameters of phase locked loop (PLL) and speed-loop of Luenberger observer (LO) for the PMSM sensorless control system. Therefore, this paper is to use the particle swarm optimization (PSO) algorithm to optimize the PI parameters of PLL and speed-loop of Luenberger observer of the system. Firstly, the ranges of PLL parameters are obtained by analyzing the PLL subsystem stability. Then, the ranges of PI parameters of PLL and speed-loop are set based on theoretical estimation and empirical values. The control system model is realized in MATLAB/Simulink that considers the constraints such as the saturation. The integral time absolute error is the objective function, and the PSO with different topologies is used to optimize the PI parameters. The simulation and experimental results show that the proposed method is feasible, and the optimized parameters can effectively improve the precision of position estimation and speed estimation. Moreover, the simulations and experiments are carried out to verify the robustness of the proposed method, and the results show that the optimized system can achieve good performance when there are uncertainties or disturbances.
The Association between Physical Exercise during Pregnancy and Maternal and Neonatal Health Outcomes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Authors: Wang Yangling , Wu Liangjiao , Wu Xiaomei , Zhou Changna
Published: August 2022

Objective. To explore the effect of exercise during pregnancy on the maternal and neonatal health outcomes. Methods. Eligible papers were systematically retrieved from PubMed, Embase, OVID, and ScienceDirect. Two researchers independently extracted the primary endpoints from the included literature. Random-effect model or fixed-effect model were utilized to generate and compute relative risk and mean difference, as appropriate. Publication bias was quantified and assessed using the funnel plot with Egger’s test. Results. This study included 13 literatures with a total of 3047 pregnant women with gestational weeks more than 10 weeks. The incidence of vaginal delivery was significantly higher in the intervention group than that in the control group (28.7% vs 23.3%,

P
<
0.001

). The differences of duration of the first stage and second stage of labor between the interventional group and control group were both statistically insignificant (mean difference: 27.92, 95% CI: − 70.60, 14.7,

P
=
0.20

; mean difference: 0.63, 95% CI: − 4.47, 5.74,

P
=
0.81

). In addition, there were no significant differences with regard to gestational age at delivery (

mean
 
difference
=
−
0.23

, 95% CI: − 1.29, 0.83,

P
=
0.67

), Apgar score (

mean
 
difference
=
0.06

, 95% CI: − 0.13, 0.26,

P
=
0.53

), and birth weight (

mean
 
difference
=
−
23.78

, 95% CI: − 60.66, 13.11,

P
=
0.21

) between the 2 groups. Women in the intervention group were more likely to experience vaginal delivery than the control group (

RR
=
1.27

, 95% CI: 1.04, 1.55,

P
=
0.01

). Conclusions. Physical exercise during pregnancy could improve the incidence of natural labor.
Trusted Cloud Service System Based on Block Chain Technology
Authors: Gao Tilei , Jia Xiaohui , Jiang Rong , He Yuanyuan , Zhang Tao , Yang Ming
Published: August 2022

With the development and popularization of cloud computing technology, more and more users choose cloud services to build their application systems. With the improvement of users’ understanding of software systems, in addition to functionality, trustworthiness has become another key issue concerned by users. Based on the existing research on cloud service trustworthiness measurement and evaluation, this paper proposes a cloud service-trusted delivery model based on asymmetric encryption and hash function and a trusted runtime model of cloud service system based on block chain technology. The proposed models will effectively solve the untrusted problems such as denial and tampering in the process of cloud service acquisition, as well as the system anomaly at runtime. Finally, through targeted experiments to verify the effectiveness and feasibility of the proposed models, and through experimental analysis, this paper expounds on the principle and mechanism of model operation and trustworthiness guarantee.
Design and Implementation of Interactive English Translation System in Internet of Things Auxiliary Information Processing
Authors: Hou Qianting , Zhang Lihong
Published: August 2022

Information technology has penetrated into all aspects of human life. Nowadays, with the rapid development of science and technology, information technology has gradually become the cornerstone of the development of other technologies. The Internet of Things is an important part of the new generation of information technology. Language is the medium of communication between people. Driven by economic globalization and the development of the Internet, information is growing rapidly, and there are more and more exchanges and exchanges between countries. The emergence of high-efficiency and high-economic machine translation solves these difficulties, and the interactive English translation system is the current research hotspot, which is intended to improve the output translation quality of the English translation system. The main work of this paper is to analyze the existing interactive machine translation technology, especially the interactive machine translation based on a phrase model, using the Internet of Things as a knowledge source. According to the characteristics of segment analysis and human-computer interaction mechanism, from the network, a wealth of information are available from open sources. In this paper, on the basis of the segment analysis, the human-machine cooperation translation strategy of human-machine cooperation with complementary human-machine advantages was discussed, and the system designed was verified. It is proved that the system has high performance in improving the accuracy and recall rate of machine English translation. Compared with the existing English translation system, the accuracy has improved by more than 20% in the case of fewer iterations, and in the case of 90 iterations, the accuracy can improve by 100%.
Effect of Loratadine Tablets in Combination with Other Drugs on Nasal Physiological Function and T Lymphocyte Subsets in Patients with Allergic Rhinitis
Authors: Zhang Jie , Cheng Hongzheng , Luo Yi , Kan Dan , Wang Yinghuai
Published: August 2022

Objective. To investigate the effects of loratadine tablets in combination with other drugs on nasal physiological function and T lymphocyte subsets in patients with allergic rhinitis (AR). Methods. A total of 120 AR patients treated in our hospital from February 2018 to February 2021 were randomly divided into control group and research group. The control group was given mometasone furoate nasal spray combined with loratadine tablets, while the research group was given budesonide combined with loratadine. The efficacy, duration of clinical symptom remission, immune function indicators, T lymphocyte subset, nasal physiological function, and incidence of adverse reactions were compared between the two groups. Results. The efficacy results of the two groups showed that the effective rate of the research group was 96.67%, while the effective rate of the control group was 83.33%. The effective rate in the research group was higher compared to the control group (χ2: 5.925

P
<
0.05

). The results of clinical symptom relief time showed that the clinical symptom relief time of nasal congestion, itching, runny nose, and sneezing in the research group was lower than that in the control group, and the difference was statistically significant (

P
<
0.05

). The results of the comparison of immune function indicators showed that the IL-6, IL-8, and IgE of the research group were lower than those of the control group, while the Th1/Th2 of the research group were higher than those of the control group. There were no statistically significant differences in T lymphocyte subsets before nursing, but after treatment, the T lymphocyte subsets of the two groups decreased, and the level of CD3+, CD4+, CD8+, CD4+, and CD4+/CD8+ lymphocytes in the research group was lower than that of the control group, and the difference was statistically significant (

P
<
0.05

). Before treatment, there exhibited no significant difference in nasal physiological function, but after treatment, the nasal physiological function of the two groups was enhanced, and the MTT, NR, and MCR of the research group were lower than those of the control group, and the difference was statistically significant (

P
<
0.05

). Finally, the incidence of adverse reactions in the research group was lower compared to the control group, and the difference was statistically significant (

P
<
0.05

). Conclusion. Budesonide and loratadine are effective in improving patient efficacy, T lymphocyte subsets, and nasal physiological function, and are safer.
Innovative Research by Using IoT Applications on Cross-National English Cultural Communication Based on Crowdsourcing Translation Model
Authors: Zheng Puyu , Chai Guojun
Published: August 2022

Social innovation provides a combination of social practices and needs in a specific area of action. Therefore, it leads towards satisfying needs and problem-solving techniques. Social innovation contributes to the society regarding improvement process, learning betterments, meeting new and efficient goods and services, and meeting social needs. Nevertheless, social innovation in cross-national English cultural communication motivates communities about widespread social transformation. Therefore, this paper studies the impact of social innovation, social needs, and society’s capacity towards adopting such social practices on crowdsourcing translation and cross-national English cultural communication. The data was collected from actors and players of cross-national English cultural communicators. All actors and players contributed to social innovation and crowdsourcing translation in cross-national English cultural communication. However, cultural explanations have been sparse. The collected data was analyzed in SMART PLS 3. For analysis, social needs, social innovation, and societal capacity were used as independent variables. In contrast, the crowdsourcing translation (IV for cross-national English cultural communication) and cross-national English cultural communication were used as the dependent variable. The data was collected from 50 actors and players of cross-national English cultural communication.
Nonlinear Dynamic Response Analysis of a Three-Stage Gear Train Based on Lightweight Calculation for Edge Equipment
Authors: Ren Dongdong , Yao Yangwu , Wang Huiyuan , Qu Huixian , Wang Guoqiang
Published: August 2022

Bevel gears are widely used in aerospace transmission systems as well as modern mechanical equipment. In order to meet the needs and development of aerospace, high-speed dynamic vehicles, and various defense special equipment, higher and higher requirements are made for the high precision and stability of gear transmission systems, as well as the prediction and control of noise and vibration. Considering the nonlinear factors such as comprehensive gear error and tooth side clearance, a dynamic model of the three-stage gear transmission system is established. The relevant physical parameters, geometric parameters, and load parameters in the gear system are considered random variables to obtain the stochastic vibration model. When the random part of the random parameters is much smaller than the deterministic part, the vibration differential equation is expanded into a first-order term at the mean of the random parameter vector according to the Taylor series expansion theorem, and the ordering equation is solved numerically. Based on the improved stochastic regression method, the nonlinear dynamic response analysis of the three-stage gear train is carried out. This results in a relatively stable system when the dimensionless excitation frequency is in the range of 0.716 to 0.86 and the magnitude of the dimensionless integral meshing error is < 1.089.
Intelligent Evaluation of Public Sports Service Based on Intuitionistic Fuzzy Set Theory
Authors: Shao Yu , Bo Rong
Published: August 2022

At this stage, in the research process of sports public service efficiency evaluation and analysis, due to the use of accurate data analysis methods, there are problems of low evaluation reliability and low analysis speed. Based on this, this paper studies the application of an information strategy based on the intuitionistic fuzzy data matching method in the evaluation and analysis of sports public service efficiency. The efficiency evaluation and analysis model of sports public service based on the intuitive fuzzy information algorithm is established. According to the characteristics of different types of sports public service, different types of data analysis methods are used to evaluate the efficiency, and the optimization of the efficiency analysis model of sports public service is realized according to the service demand and data type of different sports events. Finally, an experiment is designed to quantitatively evaluate the accuracy, stability, and reliability of the sports public service analysis model. The results show that the efficiency intelligent evaluation and analysis model based on the intuitive fuzzy information algorithm can effectively select the optimal sports public service evaluation countermeasures and rules according to the characteristics and data types of different sports events, realize the multi-dimensional accuracy classification of different types of sports events, and effectively improve the reliability of sports public service efficiency evaluation.
A Worm’s Tale or Why to Avoid the Raccoon Latrine: A Case of Baylisascaris procyonis Meningoencephalitis
Authors: Goldman-Yassen Adam E. , Derman Anna , Madan Rebecca Pellett , Radmanesh Alireza
Published: August 2022

The raccoon roundworm Baylisascaris procyonis (B. procyonis) may infect humans to cause severe or fatal meningoencephalitis, as well as ocular and visceral larva migrans. Young children are at greater risk for cerebral larva migrans with severe meningoencephalitis, and early empiric therapy may improve outcomes. Familiarity with characteristic brain imaging findings may prompt earlier diagnosis, particularly in the setting of CSF eosinophilia. We report a case of a 19-month-old boy who presented with truncal ataxia and was found to have peripheral and CSF eosinophilia. MRI demonstrated symmetric, confluent T2 hyperintense signal in the cerebral and cerebellar deep white mater, which helped differentiate B. procyonis meningoencephalitis from other infectious and non-infectious causes of eosinophilic meningoencephalitis. Early recognition and treatment of B. procyonis meningoencephalitis are important for improved outcomes, and careful review of neuroimaging can play a critical role in suggesting the diagnosis.
Dentists’ Habits of Antibiotic Prescribing May be Influenced by Patient Requests for Prescriptions
Authors: Al-Khatib Aceil , AlMohammad Raneem Ahmad
Published: August 2022

Objective. This study evaluates dentists’ antibiotic prescribing habits and the frequency of facing patient pressure for prescriptions. Methods. An online anonymous survey was used to collect data on antibiotic prescribing practices, including prescribing unnecessary antibiotics if requested by patients. Results. The study population included 345 dentists; 227 (65.8%) were females and 118 (34.2%) were males. 54 (15.7%) reported that they prescribed unnecessary antibiotics more than once per week, 47 (13.6%) once per month, 135 (39.1%) rarely, and 109 (31.6%) never prescribed unnecessary antibiotics. 117 (33.9%) reported being pressured by patients to prescribe unnecessary antibiotics more than once per week. 110 (31.9%) reported being pressured by patients to do so at least once per month. There was a statistical difference between the two genders (

P
<
0.001

) in reporting that patients pressured them to prescribe antibiotics when antibiotics were not necessary for treatment or prophylactic purposes and in prescribing unnecessary antibiotics sometimes if requested by a patient (

P
=
0.008

). In addition, there was a statistical difference in dentists’ confidence in their knowledge and practice in the area of antibiotic prescribing (

P
<
0.001

). Conclusions. The results show that unnecessary antibiotic prescribing by dentists can be influenced by patient pressure.
The Pore Structure of Marine to Continental Transitional Shales in the Permian Shanxi Formation on the East Margin of the Ordos Basin, China
Authors: Wang Tao , Tian Fenghua , Deng Ze , Hu Haiyan , Xie Zhitao
Published: August 2022

The pore structure is an important factor in determining the storage capacity for shale gas development. Twelve samples were selected from the marine to continental transitional shales in the Shanxi Formations on the eastern margin of the Ordos Basin, and their nanoscale pore structure was investigated by a variety of low-temperature N2 adsorption (LT-N2GA) and low-pressure CO2 adsorption (LP-CO2GA) and high-pressure mercury intrusion (HPMI) experiments. The shale pores are complex and are mainly mesopores, which range mainly from 10 nm to 40 nm and greatly contribute to the pore volume (PV), whereas pores with a diameter less than 0.8 nm greatly contribute to the specific surface area (SSA) of the shale. The pore structure is affected by the TOC content, organic matter maturity, and illite/smectite (I/S) mixed layer content. The total PV increases with the increase in TOC content, organic matter maturity, and I/S mixed layer content. The effects of pores on the occurrence shale gas were determined by high-pressure methane adsorption experiments. The maximum adsorption amount of methane was positively correlated with the SSA of the micropores, indicating that the micropores have a large SSA, which controlled the adsorbed gas content of the shale. The mesopores provide the majority of the PV, which mainly corresponds to the volume of free gas in the shale, and the macropores are mainly micron-sized pores, which can form the main migration channels for shale gas.
[Retracted] Psychological Changes of Social Media on Charitable Cultural Behavior Based on Big Data Technology
Authors: Chen Xi
Published: August 2022

With the advent of the era of big data, the world is facing the challenge of unprecedented information blowout growth, and Internet information processing technology has also ushered in rapid development. At the same time, charity culture has always been a part that the state and society attach great importance to. It is a form of social wealth redistribution and a supplement to the social security system. Based on this social background and reality, this paper analyzes and explores the psychological changes of charitable cultural behavior by social media based on big data technology. This paper introduces latent semantic analysis and constructs the theoretical framework of social media. This paper introduces the related concepts of heart rate variability and mental state, collects the factor factors and constructs the model, and studies the PLS load and cross load. This paper makes a statistical analysis of the data of charitable donations in China from 2017 to 2021 and tests the validity of the questionnaire from the psychological level. The experimental results show that the correlation between the subscales of the questionnaire and the total scale is between 0.470 and 0.820, and the correlation between the dimensions is between 0.183 and 0.590. The correlation between the dimensions and the total score of the scale is higher than that between the dimensions, which shows that there are both connections and differences between the dimensions of the two scales, which are relatively independent, and the scale has a certain structural validity.
Analytical Study of Financial Accounting and Management Trends Based on the Internet Era
Authors: Li Qin
Published: August 2022

With the development of Internet technology and computer technology, the network has provided convenience to enterprises while putting forward new requirements for the development of the accounting industry. The combination of traditional financial accounting methods and computerized information technology enables accurate and rapid transmission of financial data. At the same time, the application of network technology optimizes the financial accounting process of enterprises and greatly improves the efficiency of accounting work and accountants can devote more time and energy to the analysis of enterprise financial information. However, with the application of Internet technology, the change in financial accounting has also generated new problems. The article focuses on the topic of financial accounting; first, it briefly introduces the development history of financial accounting and the Internet; second, it discusses the changes in accounting work mode and its characteristics under the network environment and analyzes the advantages and problems of combining network technology and financial accounting; and finally, it puts forward the countermeasures to solve the “Internet+” era financial accounting work for the current situation. Finally, the countermeasures to solve the financial accounting work in the era of “Internet+” are proposed to improve the professional ability of financial personnel.
Fake News Detection Techniques on Social Media: A Survey
Authors: Ali Ihsan , Ayub Mohamad Nizam Bin , Shivakumara Palaiahnakote , Noor Nurul Fazmidar Binti Mohd
Published: August 2022

Social media platforms like Twitter have become common tools for disseminating and consuming news because of the ease with which users can get access to and consume it. This paper focuses on the identification of false news and the use of cutting-edge detection methods in the context of news, user, and social levels. Fake news detection taxonomy was proposed in this research. This study examines a variety of cutting-edge methods for spotting false news and discusses their drawbacks. It also explored how to detect and recognize false news, such as credibility-based, time-based, social context-based, and the substance of the news itself. Lastly, the paper examines various datasets used for detecting fake news and proposed an algorithm.
Efficacy of CRISPR-Based Gene Editing in a Sickle Cell Disease Patient as Measured through the Eye
Authors: Pinhas Alexander , Zhou Davis B. , Otero-Marquez Oscar , Castanos Toral Maria V. , Migacz Justin V. , Glassberg Jeffrey , Rosen Richard B. , Chui Toco Y. P.
Published: August 2022

Sickle cell disease (SCD) exists on a phenotypic spectrum with variable genetic expressivity, making it difficult to assess an individual patient’s risk of complications at any particular point in time. Current and emerging SCD treatments, including CRISPR-based gene editing, result in a variable proportion of affected red blood cells (RBCs) still vulnerable to sickling. Clinical serological indicators of disease such as hemoglobin, indirect bilirubin, and reticulocyte count and clinical metrics including number of emergency department visits and hospitalizations over time often fall short in their ability to objectively quantify ischemic disease activity and efficacy of treatments. Clearly, better clinical biomarkers are needed. The rapidly developing field of oculomics leverages the transparent nature of the ocular tissue to directly study the retinal microvasculature in order to characterize the status of systemic diseases. In this case report, we demonstrate the ability of optical coherence tomography angiography (OCT-A) to detect and measure micro-occlusive events within the retinal capillary bed before and after RBC exchange transfusion and following CRISPR-based gene editing, as an indicator of systemic ischemic disease activity and measure of treatment efficacy. The implications of these findings are discussed.
Application of Optimized Support Vector Machine Model in Tax Forecasting System
Authors: Xin Yu
Published: August 2022

Tax forecast has an important impact on financial budget and tax plan. The amount of tax data is greatly increased, the difficulty of tax forecast is improved, and the accuracy is always difficult to keep up with the development demand. Analyze the application of optimized support vector machine model in tax prediction system. Based on the simple analysis of the research situation of tax prediction and the research status of data mining algorithm in tax data classification and prediction, this paper constructs a tax prediction model. Aiming at the problem of too many influencing factors of tax prediction, this paper puts forward the use of principal component analysis to extract the main factors, reduce the dimension of tax data, and reduce the difficulty of analysis. Support vector machine is used to realize tax prediction, aiming at the problem of parameter optimization proposed to optimize the parameters. Finally, the prediction accuracy is evaluated by comparing the error between tax prediction value and real value. The results show that the algorithm used in this paper can optimize the parameters of support vector machine. The tax prediction results show that the predicted value is similar to the real value curve. After grid search optimization, the introduction of principal component analysis reduces the redundancy and improves the prediction accuracy.
A Situation Awareness Approach for Network Security Using the Fusion Model
Authors: Zhao Dongmei , Wu Yaxing , Zhang Hongbin
Published: August 2022

Aiming at the limited learning ability of a single model, the objective of this paper is to investigate situational awareness of the network security which is established on the fusion model. In this paper, a convolutional neural network (CNN) and long short-term memory (LSTM)-based model for situational assessment of the network security condition are provided. According to different fusion methods, the parallel and serial CNN-LSTM fusion models were constructed to evaluate the UNSW-NB15 data set, and both the situation values and levels were obtained. The investigational outcomes illustrate that the evaluation accuracy of the two models can reach up to 85.19% and 92.59%, respectively. A situation prediction model called IPSO-ABiLSTM is suggested and is based on improved particle swarm optimization (IPSO) and attention fusion bidirectional long short-term memory (ABiLSTM). The IPSO has the characteristics of faster convergence speed to optimize the ABiLSTM network parameters and obtain the optimal parameters for situation prediction. The investigational outcomes illustrate that the suggested IPSO-ABiLSTM model has a fitting degree of up to 0.9922, which can effectively achieve the situation prediction in the network security.
Design Model of Cultural and Creative Products Using User Perception Demand Mining
Authors: Yang Huahua
Published: August 2022

People are becoming more and more aware of the value of design throughout a product’s entire life cycle as a result of the fierce competition for industrial products that exists today. The life of a product involves its design, manufacture, sale, and use, and how well these links are managed determines the product’s positioning in terms of value in the eyes of consumers. The key to the functional integration of the design is monitoring the entire process and applying the user’s emotional needs. A useful tool for assessing users’ emotional needs is the perceptual image of a product. An artificial intelligence-driven method for product perceptual design is proposed, and its efficacy is demonstrated by the design of an optometer. This method addresses the issues of incomplete measurement and insufficient sample collection in the traditional users’ perceptual cognition measurement. The findings demonstrate that extracting users’ perceptual cognition through text mining can assist designers in better understanding users’ perceptual needs, resulting in designed products that are more likely to meet users’ expectations for satisfaction. A design approach that can increase users’ psychological acceptance of products and boost their competitiveness is the perceptual design method, which combines human and artificial intelligence.
Exploration of PBL Teaching Mode of Embedded Design Course Based on Network Teaching Platform
Authors: Chen Lin , Yan Xuebo
Published: August 2022

With the rapid development of online courses and continuous development of online courses, the content, functions, and forms of its teaching platform are becoming more and more diversified. Problem-based learning (PBL) is a kind of “problem,” “learner,” and “cooperative learning” as the center, creating a problem-solving learning environment and allowing students to carry out problem-based learning activities. The teaching method based on PBL is also suitable for the network teaching environment. Embedded design refers to the design of embedded application systems with real-time, specificity, and limited resources through different methods. This article primarily presents the investigation of the PBL showing method of inserted plan courses in light of the organization showing stage and means to give a few thoughts and headings to the examination of the organization showing stage under the PBL mode. This study proposes an exploration method for the PBL teaching mode of embedded design courses based on the network teaching platform, including literature research method, survey research method, experience summary method, and embedded system-related algorithms, which are used to carry out the embedded design course PBL based on the network teaching platform teaching mode exploration experiment. The exploratory aftereffects of this study show that 90.18% of understudies like the PBL show stage for implanted plan courses.
Design of University Financial Information System Based on Data Mining Technology and IoT
Authors: Guo Ying
Published: August 2022

As China’s information construction level keeps getting better and higher education keeps getting better, new rules and regulations are being made and put into place. These new rules and regulations require colleges and universities to have comprehensive budget management, dynamic fund management, scientific forecast analysis and performance assessment, and the integration of campus cards and digital campuses. At present, the financial management concept and financial management software used by colleges and universities have been relatively lagging behind, which cannot adapt to the needs of current information and career development. Therefore, the financial information system of colleges and universities based on data mining technology is designed. The hardware part is designed with CORBA interceptor, B/S structure, and SQL converter. The software part first figures out what kind of financial information platform is needed. Then, using data mining technology, it builds a financial information model. Finally, it designs the functional module of financial information technology and builds the financial index system for colleges and universities. The results of the system tests show that the designed financial information system works well and has some use value.
Role of Phosphatidylinositol 3-Kinase and Its Catalytic Unit PIK3CA in Cervical Cancer: A Mini-Review
Authors: Sun Guojuan , Zhang Qiang , Liu Yi , Xie Ping
Published: August 2022

In complicated disorders like cancer, signaling pathways form a tangled network. Targeting one gene may result in an unfavorable reaction from another off-target gene. Such entwined complexities may result in treatment resistance or failure in cancer patients. The PI3K/Akt/mTOR (phosphoinositol 3-kinase/protein kinase B/mammalian target of rapamycin) pathway is dysregulated in cervical cancer and is used as a biomarker for therapy. PI3K is a kinase that consists of a regulatory and catalytic domain and has phosphorylation capability. Class I components like the catalytic part (PIK3CA and PIK3CD) and regulatory part (like PIK3R1, PIK3R2, PIK3R3, and PIK3R5) are associated with oncogenesis and growth factors in cervical cancer. This review is aimed at discussing the involvement of the PI3K component of the PI3K/Akt/mTOR network in cervical cancer. Specifically, class I catalytic subunit PIK3CA has been identified as a pharmacological target, making it therapeutically significant. Apart from discussing the function of PI3K and PIK3CA in cervical cancer, we also discuss their inhibitors, which may be beneficial in treating cervical cancer.
Detection and Counting Method of Pigs Based on YOLOV5_Plus: A Combination of YOLOV5 and Attention Mechanism
Authors: Zhou Zishun
Published: August 2022

Information-based pig detection and counting is the trend in smart animal husbandry development. Cameras can efficiently collect farm information and combine it with artificial intelligence technology to assist breeders in real-time monitoring and analysis of farming. In order to improve the speed and accuracy of pig detection and counting, an advanced improved YOLO_v5 method for pig detection and counting based on the attention mechanism is proposed. The model is named as YOLOV5_Plus. This article utilizes a series of data augmentation methods, including translation, color augmentation, rescaling, and mosaic. The proposed model performs feature extraction on the original image with a backbone network, detects pigs of different sizes with three detection heads, and counts the detected anchor frames. Different versions of YOLOV5 are compared, and YOLOV5x is selected as the baseline model for the best performance. Attention modules are smartly combined with the model so that the model can better handle overlapping and misidentification. YOLOV5_Plus can achieve an accuracy of 0.989, a recall of 0.996, mAP@.50 of 0.994, and mAP@.50:.95 of 0.796, which outperforms all competing models. The inference time per image during detection is only 24.1 ms. YOLOV5_Plus model achieves real-time pig number and location detection, which is meaningful for promoting smart animal husbandry and saving labor costs in farming enterprises.
Optimization Analysis of Pretreatment Device Structural Parameters for Low-Concentration CBM Utilization
Authors: Xiao Lu
Published: August 2022

The unstable concentration of the difficulty in utilizing low-concentration CBM causes a large amount of CBM to be discharged into the atmosphere. In order to ensure the safe and stable operation of the CBM utilization device, the gas mixing unit is used to stabilize the concentration of feed gas. Generally, the resistance of the gas mixing unit is not higher than 500 Pa and the uniformity of gas is not less than 90%. In order to solve the problems of heavy resistance and low uniformity of the existing CBM mixing unit, a three-dimensional calculation model is established, and the structural parameters such as the number of spiral blades, blade length, and pitch in the gas mixing unit are adjusted and verified by experiments to achieve optimal performance. The dimensionless mathematical correlation between the resistance loss and the uniformity of gas is refined, and the maximum error between the resistance loss and the simulation results is controlled within 10%; it provides a theoretical basis for the uniformity and low resistance mixing of different gases in the gas industry. When the flow is 7000 Nm3/h, 50000 Nm3/h, and 160000 Nm3/h, respectively, the optimal structural parameters of the mixing zone are as follows: the number of blades is 3, 3, and 2, respectively, the pitch is 1000 mm, 2000 mm, and 2636 mm, respectively, and the length of blades is 500 mm, 1600 mm, and 1845 mm, respectively. The optimal structural parameters of the small pipe area are as follows: the mixing device with a flow of 50000 Nm3/h is not equipped with blades, the number of blades of the other two devices is 4, the pitch is 1400 mm, and the length of blades is 700 mm.
The Impact of After-Travel Sharing on Social Media on Tourism Experience from the Perspective of Sharer: Analysis on Grounded Theory Based on Interview Data
Authors: Ba Duoxun , Song Luming
Published: August 2022

In the age of rapid development of social media, most researches focus on the tourists’ motive for sharing, content preference, and the impact of content shared on potential tourists, while few researches pay attention to the impact of tourism sharing on the sharer itself. With grounded theory, this paper analyzes the sharing preferences of tourists at different tourism experience levels and the impact of sharing on the sharer’s own tourism experience and next destination choice. The research shows the following: (1) sharing tourism experience on social media will positively regulate the sharer’s tourism experience, thus positively promoting the tourist’s satisfaction for this trip and expectation for next trip. (2) The sharing preferences and focuses of tourists at different tourism experience levels are different, which constitutes the hierarchy model of tourism sharing. (3) The destination choice preferences of tourists at all sharing levels are related to the sharing levels at which the tourists are. The paper also verifies the fact that Gaffman’s dramaturgical theory onstage and backstage are not completely independent but have significant effect on each other.
Xin-Ji-Er-Kang Alleviates Isoproterenol-Induced Myocardial Hypertrophy in Mice through the Nrf2/HO-1 Signaling Pathway
Authors: Yu Ting-Ting , Sun Li-Jun , Chen Chen , Wang Zi-Jian , Liu Xue-Sheng , Zhu Feng-Qin , Gao Shan
Published: August 2022

Xin-Ji-Er-Kang (XJEK) inhibited cardiovascular remodeling in hypertensive mice in our previous studies. We hypothesized that XJEK may prevent isoproterenol (ISO)-induced myocardial hypertrophy (MH) in mice by ameliorating oxidative stress (OS) through a mechanism that may be related to the nuclear factor erythroid 2-related factor 2 (Nrf2)/heme oxygenase-1(HO-1) pathways. Forty SPF male Kunming mice were randomized into 5 groups (n = 8 mice per group): control group, MH group, MH + different doses of XJEK (7.5 g/kg/day and 10 g/kg/day), and MH + metoprolol (60 mg/kg/day). On the eighth day after drug treatment, electrocardiogram (ECG) and echocardiography were performed, the mice were sacrificed, and blood and heart tissues were collected for further analysis. XJEK administration markedly ameliorated cardiovascular remodeling (CR), as manifested by a decreased HW/BW ratio and CSA and less collagen deposition after MH. XJEK administration also improved MH, as evidenced by decreased atrial natriuretic peptide (ANP), brain natriuretic peptide (BNP), and β-myosin heavy chain (β-MHC) levels. XJEK also suppressed the decreased superoxide dismutase (SOD) and catalase (CAT) activities and increased malondialdehyde (MDA) levels in serum of mice with MH. XJEK-induced oxidative stress may be related to potentiating Nrf2 nuclear translocation and HO-1 expression compared with the MH groups. XJEK ameliorates MH by activating the Nrf2/HO-1 signaling pathway, suggesting that XJEK is a potential treatment for MH.
Distribution Network Grid Planning and Automatic Routing Based on Cluster Analysis Algorithm
Authors: Cheng Junwen , Jiang Qi , Cheng Gong , Gong Ruibang , Du Xuan
Published: August 2022

In order to improve the efficiency of power grid enterprises under the background of new power reform, the author proposes a set of planning ideas and methods for medium-voltage distribution networks based on the optimal division of power supply grids. First, the layout of the main channel in the planning area should be determined to ensure the reservation of land resources. Then, on the basis of clarifying the purpose and principle of grid division, based on the selection of the nearest load backup substation and the load clustering method, the optimal division of the power supply grid should be realized on a global scale. Finally, in each power supply grid, the wiring mode and the primary and secondary construction and renovation standards are selected based on the classification of the supply area, and the main line wiring planning is carried out. For the grid frame in the transition year, in order to avoid repeated reconstruction and facilitate construction, the principle of piece-by-piece construction and reconstruction is proposed. The results show that by the target year, each power supply grid in the planning area will use two substations as power points, the power supply range of the main lines of each grid is limited to this grid, the lines between grids will not be connected, and the line connection rate will reach 100% and all meet the N-1 check. The proposed method follows the basic planning concept of “technically feasible and economically optimal” on the basis of overall planning and transforms the complex global planning of distribution network into local planning within each optimized grid, and it enables different planners to obtain a basically consistent grid optimization scheme, strengthens the scientificity and certainty of planning, and provides a reference for the revision and refinement of relevant guidelines, which has been practically applied.