bluuebunny/crossref_metadata_2025 huggingface dataset:
Nonalcoholic Fatty Liver Hepatocyte-Derived lncRNA MALAT1 Aggravates Pancreatic Cell Inflammation via the Inhibition of Autophagy by Upregulating YAP
Authors: Liu Di , Yao Weijie , Liu Kejun , Wang Genwang , Chen Bendong , Wang Zuozheng , Hou Shaozhang
Published: September 2022

Background. Acute pancreatitis (AP) is one of the most common gastrointestinal disorders, which causes death with a high mortality rate of about 30%. The study aims to identify whether the nonalcoholic fatty liver disease (NAFLD)-derived lncRNA MALAT1 participates in the inflammation of pancreatic cell and its potential mechanism. Methods. The NAFLD cell model was constructed by treating HepG2 cells with FFA. The in vitro model of acute pancreatitis (AP) was established by the administration of caerulein on AR42J cells. MALAT1 and si-MALAT1 were transfected into pancreatic cells, and then exosomes were collected from the NAFLD cell model and then were cocultured with AR42J cells. Transmission electron microscopy was used to observe the morphology of exosomes. Oil Red O staining was applied to reveal the lipid deposition. The triglyceride, IL-6, and TNF-α levels were detected using ELISA. The MALAT1 level in exosomes was detected by qRT-PCR. The CD9, CD63, CD81, and CYP2E1, LC3II, and LC3I levels were detected by western blot. Results. MALAT1 was upregulated in NAFLD-derived exosomes and increased the levels of IL-6 and TNF-α in pancreatic cells. NAFLD-derived exosomes inhibited YAP phosphorylation, decreased the levels of IL-6 and TNF-α, and reduced the ratio of LC3II/LC3I protein in pancreatic cells. Silencing MALAT1 significantly returned the inhibitory effect of NAFLD on hippo-YAP pathway. YAP1 signal transduction inhibitor CA3 reversed the decrease of LC3II/LC3I expression and the increase of IL-6 and TNF-α levels induced by MALAT1 in the AP cell model. Conclusions. NAFLD-derived MALAT1 exacerbates pancreatic cell inflammation via inhibiting autophagy by upregulating YAP.
Big Data Analysis Technology for Artificial Intelligence Decision-Making Platform Construction and Application
Authors: Liu Liangfang , Hu Zhiyi
Published: September 2022

With the development of the information age, it is the opportunity and challenge for enterprises to apply big data analysis technology to make decisions and better solve the major problems of global and sustainable development. Decision-making is crucial for enterprises, and a correct decision can improve the development potential and competitiveness of enterprises. However, traditional decision models have certain limitations, and it is difficult to handle the massive, polymorphic, and changing decision data. To address these problems, we propose a combination of temporal data anomaly detection and width learning big data analysis technology for building an intelligent decision platform to assist enterprises to better solve major decision problems. First, the goal of time series data anomaly detection is to correctly determine whether the data points in each moment of the time series are abnormal. The variation of time series data is affected by various factors, and the fluctuation of data caused by some nonanomalous factors can increase the difficulty of anomaly detection. To address the above problems, we propose an anomaly detection algorithm for time series data based on time series decomposition method. In this algorithm, the time series are decomposed by STL method and HP filtering method according to whether the time series is periodic or not, and then the components of the time series that are relevant to anomaly detection are retained and anomaly detection is performed on the processed time series using a cyclic model. Then, based on the call text and signaling data in enterprise decision-making, an improved width learning model called coding width learning is proposed. The coding width learning model is used to identify decision problems and make comprehensive decisions to improve the model training time and the accuracy of identification. At the same time, an integrated learning method with parallelized training is proposed for width learning in order to further improve the efficiency of coding width learning and prevent the potential memory explosion problem. Finally, the experimental results show that the proposed anomaly detection method effectively improves the anomaly detection performance of the model, and its performance is better than the existing time series anomaly detection algorithm based on variation self-encoder; combined with the improved width learning model, it can make fast decisions and analysis without using scenarios and targets, and help and guide the work of related personnel.
Numerical Simulation of Multifunctional Projectile Penetrating Reinforced Concrete Target Plate Based on Sensor Data Acquisition
Authors: Meng Qingyu
Published: September 2022

The main material of a type of multifunctional warhead is energy-containing material, which mainly relies on the projectile’s own kinetic energy to hit the target plate to achieve the function of penetrating reinforced concrete, so it needs the bullet material to have high strength and be able to withstand the high overload when penetrating reinforced concrete. At present, the composite energy-containing material structure with Al, Zr, Ti, and other materials as PTFE-based reducing agents is the mainstream direction of research on high-strength energy-containing materials. LS-DYNA is used to establish a simulation model to simulate and analyze the tapping power. The relationship curve between material strength and attack depth is established and compared with the experimental data of traditional steel material attack ammunition to finally determine the strength limit of energy-containing material compared with traditional attack ammunition. The simulation results show that the composite energy-containing material multifunctional projectile can accomplish the tapping task of penetrating 1.2 m reinforced concrete under the premise of ensuring that the percentage of

W

powder is not higher than 80%. This study has a certain reference value for the selection of energy-containing materials for multifunctional warheads. For the low-velocity penetration below 400 m/s, the effect of frictional resistance of the head as well as the sidewall on the penetration depth can be ignored, but the overload curve when considering the sidewall friction is more realistic. Using a combination of experimental and theoretical methods, the influence of the projectile material on the mass erosion of high-speed kinetic energy projectiles was studied, and the Jones erosion model based on the thermal melting principle was improved. Based on the cavity expansion theory, the calculation method of the shape evolution of the bullet head was established. The comparison with the experimental results shows that the improved model is applicable to different types of soft and hard materials and can accurately calculate the mass erosion amount, erosion depth, and shape evolution of the bullet head.
Research on 3D Jewelry Design Based on Virtual Reality Technology
Authors: Chu Hongxia
Published: September 2022

The existing three-dimensional jewelry design method has the problem of imperfect three-dimensional display model, which leads to a high product wastage rate. A three-dimensional jewelry design method based on virtual reality technology is designed. From the perspective of diversified production needs, the jewelry production and processing process is obtained. CNC plate making is adopted to identify the technological characteristics of plane elements. The digital three-dimensional model is taken as the design carrier, and the three-dimensional display model is constructed by virtual reality technology. Experimental Results. The average product loss rate of the three-dimensional jewelry design method in this paper and the other two three-dimensional jewelry design methods were 5.523%, 8.043%, and 8.237%, respectively, indicating that the performance of three-dimensional jewelry design method is more perfect after the combination of virtual reality technology.
Integrated Machine Learning and Single-Sample Gene Set Enrichment Analysis Identifies a TGF-Beta Signaling Pathway Derived Score in Headneck Squamous Cell Carcinoma
Authors: Wu Sheng , Lv Xiangkang , Li Yilin , Gao Xinyi , Ma Zhiqi , Fu Xiao , Li Yong
Published: September 2022

Background. The TGF-β signaling pathway is clinically predictive of pan-cancer. Nevertheless, its clinical prognosis and regulation of immune microenvironment (TME) characteristics as well as the prediction of immunotherapy efficacy need to be further elucidated in head and neck squamous cell carcinoma. Method. At first, we summarized TGF-β related genes from previous published articles, used ssGSEA to establish the TGF-β risk score. Considering the complexity of its clinical application, we improved it with the LASSO-COX algorithm to construct the model. In addition, we explored the predictive efficacy of TGF-β risk score in the observation of TME phenotype and immunotherapy effect. Finally, the potency of TGF-β risk score in adjusting precise treatment of HNSC was evaluated. Results. We systematically established TGF-β risk score with multi-level predictive ability. TGF-β risk score was employed to predict the tumor microenvironment status, which was negatively associated with NK cells but positively related to macrophages and fibroblasts. It reveals that patients with high TGF-β risk score predict “cold” TME status. In addition, higher risk scores indicate higher sensitivity to immunotherapy. Conclusion. We first construct and validate TGF-β characteristics that can predict immune microenvironment phenotypes and immunotherapeutic effect in multiple datasets. Noteworthy, TGF-β risk score is helpful for individualized precise treatment of patients with the head and neck squamous cell carcinoma.
A Resource Sharing System for Music Education Using the Entropy Technology
Authors: Zhao Feilong
Published: September 2022

In order to improve the sharing level of music quality and educational resources within the background of emerging digital world, it is essential to design new methods. In this paper, we design a method for music quality education and a resource sharing system within the context of digital world which is established over the entropy technology. The designed structure includes the collection module of music quality education resources, the interactive compilation module of music education resources, the bottom data detection module, the cross bus control module, and the man-machine interface module under the background of digital technology. The information entropy feature extraction technology is adopted to schedule the bus in the process of sharing and transmitting music quality educational resources under the background of digital technology, and the transmission model of music quality education resources is designed. The modular design method of bottom database is adopted to realize the interactive and storage design of music quality education resources under the background of digital technology. Under the background of digital technology, the average mutual information entropy and feature distribution of association rules of music quality education resources are extracted. Furthermore, the method of fuzzy subspace information scheduling is combined with the entropy approach to share and schedule music quality educational resources, so as to comprehend the software development and, therefore, the design of music quality education and resource sharing system under the background of digital knowledge. The simulation outcomes confirm that under the background of digital technology, the music quality education and resource sharing system has good output stability and, therefore, strong human-computer interaction ability.
Detection of Campylobacter jejuni Based on a Real‐Time Fluorescence Loop‐Mediated Isothermal Amplification Method
Authors: Liu Ying , Xu Meidi , Wang Jiang , Cao Yang , Wang Tao , Mu Lan , Niu Chao
Published: September 2022

Campylobacter jejuni (C. jejuni), a foodborne pathogenic bacterium, is among the most prevalent causes of human gastroenteritis globally. We developed and evaluated a loop‐mediated isothermal amplification (LAMP) method to detect C. jejuni. Outer primers and inner primers were designed based on the hipO gene. The ratio between the concentrations of the inner and outer primers and the reaction temperature were then optimized to achieve optimal assay conditions. The analytical specificity tests showed that, among 12 genera of 74 pure bacterial culture strains, only four C. jejuni isolates could be detected, whereas no amplification was observed in C. coli, C. lari, and the other 11 genera of foodborne pathogens (n = 70). Moreover, the LAMP assay showed a higher analytical sensitivity (34.2 fg μL-1) than the conventional PCR method (342 fg μL-1). The limit of detection of C. jejuni based on the LAMP assay was 103 CFU g-1 in the artificially spiked samples of chicken meat. In conclusion, the developed LAMP assay will be a powerful and practical tool for the fast, specific, and sensitive detection of C. jejuni.
Bu Shen Yi Sui Capsule Promotes Myelin Repair by Modulating the Transformation of A1/A2 Reactive Astrocytes In Vivo and In Vitro
Authors: Zha Zheng , Liu Yi-Jiang , Liu Si-Si , Zhang Nan , Li Jun-Ling , Qi Fang , Jin Liang-Yun , Xue Bing , Yang Tao , Fan Yong-Ping , Zhao Hui , Wang Lei
Published: September 2022

Background/Aims. Multiple sclerosis (MS) is an autoimmune disorder that affects the central nervous system (CNS) primarily hallmarked by neuroinflammation and demyelination. The activation of astrocytes exerts double-edged sword effects, which perform an integral function in demyelination and remyelination. In this research, we examined the therapeutic effects of the Bu Shen Yi Sui capsule (BSYS), a traditional Chinese medicine prescription, in a cuprizone- (CPZ-) triggered demyelination model of MS (CPZ mice). This research intended to evaluate if BSYS might promote remyelination by shifting A1 astrocytes to A2 astrocytes. Methods. The effects of BSYS on astrocyte polarization and the potential mechanisms were explored in vitro and in vivo utilizing real-time quantitative reverse transcription PCR, immunofluorescence, and Western blotting. Histopathology, expression of inflammatory cytokines (IL-10, IL-1β, and IL-6), growth factors (TGF-β, BDNF), and motor coordination were assessed to verify the effects of BSYS (3.02 g/kg/d) on CPZ mice. In vitro, A1 astrocytes were induced by TNF-α (30 ng/mL), IL-1α (3 ng/mL), and C1q (400 ng/mL), following which the effect of BSYS-containing serum (concentration of 15%) on the transformation of A1/A2 reactive astrocytes was also evaluated. Results and Conclusions. BSYS treatment improved motor function in CPZ mice as assessed by rotarod tests. Intragastric administration of BSYS considerably lowered the proportion of A1 astrocytes, but the number of A2 astrocytes, MOG+, PLP+, CNPase+, and MBP+ cells was upregulated. Meanwhile, dysregulation of glutathione peroxidase, malondialdehyde, and superoxide dismutase was reversed in CPZ mice after treatment with BSYS. In addition, the lesion area and expression of proinflammatory cytokines were decreased and neuronal protection factors and anti-inflammatory cytokines were increased. In vitro, BSYS-containing serum suppressed the A1 astrocytic markers’ expression and elevated the expression levels of A2 markers in primary astrocytes triggered by C1q, TNF-α, and IL-1α. Importantly, the miR-155/SOCS1 signaling pathway was involved in the modulation of the A1/A2 phenotype shift. Overall, this study demonstrated that BSYS has neuroprotective effects in myelin repair by modulating astrocyte polarization via the miR-155/SOCS1 pathway.
Assessment of Ecological Environment Quality for Urban Sustainable Development Based on AHP
Authors: Zhou Liang
Published: September 2022

Cities are gradually developed on the basis of adapting and transforming the natural environment. In a certain urban area, human activities, natural environment, and other factors and their mutual influence constitute the urban ecological environment. Therefore, the evaluation of urban ecological environment quality is of great significance to the analysis of urban development. This paper takes a city in Western China as the evaluation object, uses AHP to determine the index weight, reasonably analyzes the current situation of the urban ecological environment, and further comprehensively evaluates the quality of the urban ecological environment. The study shows that from 2013 to 2018, the comprehensive capacity of the city’s ecological environment quality showed a steady upward trend, except that the natural disasters of floods and mudslides in 2014 had a certain degree of fluctuation. The comprehensive index of ecological environment quality has increased from 0.337 in 2013 to 0.412 in 2018. The overall level is still low, but the development speed is relatively stable. The urban ecological environment has been gradually improved, and society, economy, and nature have maintained a certain degree of sustainable development.
Nimotuzumab in the Treatment of Inoperable Esophageal Tumors of Epithelial Origin
Authors: González Fernández Sandra , Amador García Yohan , Boris Porras Lucien Gregoria , Mojena Martínez Liuba , Soler Porro Luis Laureano , Pish Martí Gustavo , Fonseca Chon Liem , Estrada Guerra Yelec , Álvarez Blanco Jorge Manuel , Garabito Perdomo Acralys , Santel Odio Félix Bárbaro , Varona Vázquez Luis Alfonso , Ricardo Serrano Yoel Mario , Chao González Lisette , Avila Albuerne Yisel , Sánchez Valdés Lizet , Viada González Carmen Elena , Ramos Suzarte Mayra , Saumell Nápoles Yaimarelis
Published: September 2022

Background. Nimotuzumab is a humanized monoclonal antibody that targets the epidermal growth factor receptor. It was approved in Cuba for the indication of inoperable malignant tumors of the esophagus of epithelial origin. The purpose of this study was to evaluate the safety, overall and progression-free survival, clinical response, and quality of life, in adult patients with inoperable esophageal tumors of epithelial origin treated with nimotuzumab in a practical context. Material and Methods. The number of patients who developed adverse events was determined, and the frequency, seriousness, causality, and severity of these adverse events were determined. It also determined the median of survival and progression-free survival and rates at 12 and 24 months and the quality of life. Results. A total of 111 patients were included. The proportion of serious and related AE with the use of nimotuzumab was 1.3%. Most of the related AEs were mild and moderate, and the most frequent AEs were diarrhea, chills, and tremors. New diagnosed patients who received nimotuzumab concurrent with chemotherapy and radiotherapy reached a median OS of 12.2 months (95% CI, 6.9–17.5) and 12- and 24-month survival rates of 51.0% and 17.0%, respectively. Median PFS was 7.8 months (95% CI, 6.2–9.5), and 12- and 24-month PFS rates were 39.3% and 11.2%, respectively. A favorable evolution of the general state of health (

p
=
0.03

) was obtained from the beginning of treatment until month 12, with a significant reduction in the appearance of nausea (

p
=
0.009

), insomnia (

p
=
0.04

), constipation (

p
=
0.04

), eating difficulties (

p
=
0.0006

), and choking when swallowing (

p
=
0.0001

), but increased in dysphagia (

p
=
0.02

). Conclusions. The administration of nimotuzumab was safe in the real-world setting. New diagnosed patients that received nimotuzumab concurrent with chemotherapy and radiotherapy reached a higher overall and progression-free survival and better quality of life than the rest of the patients. Trial registration is RPCEC00000215 (Cuban Registry of Clinical Trials; https://registroclinico.sld.cu/en/home). It is registered prospectively on June 30, 2016.
[Retracted] Respiratory Care of Big Data Communication to Prevent Respiratory Tract Infection Nursing Analysis of Patients with Heart Failure
Authors: Lin Tiantian , Lin Qiaoyan , Feng Yuying , Dong Lingchu
Published: September 2022

Heart failure is the final stage of the development of heart disease, with a high mortality and disability rate. It poses a serious threat to human health and brings tremendous pressure to human society. Preventing respiratory infections in patients with heart failure is also the first priority of care. This article is aimed at studying the nursing analysis of respiratory tract care based on big data exchanges to prevent respiratory tract infections in patients with heart failure. This article uses benchmark and sample collection. Studies have shown that for Pseudomonas aeruginosa, its resistance to ampicillin, amoxicillin/clavulanic acid, cefazolin, cefuroxime, ceftriaxone, cefotaxime, and cefoxitin has reached more than 80%. It is also suitable for piperacillin, ticarcillin/clavulanic acid, piperacillin/tazobactam, cefepime, aztreonam, gentamicin, tobramycin, ciprofloxacin, and levofloxacin. The resistance rate of stars is within 10%‐30%. These antibiotics are effective and can be used for clinical treatment. The drug resistance rates of ceftazidime, imipenem, meropenem, and amikacin were all lower than 10%, and the drug resistance rates of ceftazidime and imipenem were much lower than those reported in the 2016 literature. These antibiotics have become the most effective drugs for the treatment of Pseudomonas aeruginosa infections. Basically, good communication of respiratory care data is realized, thereby preventing respiratory care analysis of patients with heart failure.
Performance Evaluation of Bio Concrete by Cluster and Regression Analysis for Environment Protection
Authors: Shukla Ashish , Gupta Nakul , Singh Kunwar Raghvendra , Kumar Verma Pawan , Bajaj Mohit , Khan Arfat Ahmad , Ayalew Frie
Published: September 2022

The focus of this research is to isolating and identifying bacteria that produce calcite precipitate, as well as determining whether or not these bacteria are suitable for incorporation into concrete in order to enhance the material’s strength and make the environment protection better. In order to survive the high “potential of hydrogen” of concrete, microbes that are going to be added to concrete need to be able to withstand alkali, and they also need to be able to develop endospores so that they can survive the mechanical forces that are going to be put on the concrete while it is being mixed. In order to precipitate CaCO3 in the form of calcite, they need to have a strong urease activity. Both Bacillus sphaericus and the Streptococcus aureus bacterial strains were evaluated for their ability to precipitate calcium carbonate (CaCO3). These strains were obtained from the Department of Biotechnology at GLA University in Mathura. This research aims to solve the issue of augmenting the tension and compression strengths of concrete by investigating possible solutions for environmentally friendly concrete. The sterile cultures of the microorganisms were mixed with water, which was one of the components of the concrete mixture, along with the nutrients in the appropriate proportions. After that, the blocks were molded, and then pond-cured for 7, 28, 56, 90, 120, 180, 270, and 365 days, respectively, before being evaluated for compressibility and tensile strength. An investigation into the effect that bacteria have on compression strength was carried out, and the outcomes of the tests showed that bacterial concrete specimens exhibited an increase in mechanical strength. When compared to regular concrete, the results showed a maximum increase of 16 percent in compressive strength and a maximum increase of 12 percent in split tensile strength. This study also found that both bacterial concrete containing 106, 107, and 108 cfu/ml concentrations made from Bacillus sphaericus and Streptococcus aureus bacteria gave better results than normal concrete. Both cluster analysis (CA) and regression analysis (RA) were utilized in this research project in order to measure and analyze mechanical strength.
COIN: Correlation Index-Based Similarity Measure for Clustering Categorical Data
Authors: Sowmiya N. , Gupta N.Srinivasa , Natarajan Elango , Valarmathi B , Elamvazuthi I. , Parasuraman S. , Kit Chun Ang , Freitas Lídio Inácio , Abraham Gnanamuthu Ezra Morris
Published: September 2022

In this paper, a correlation index-based clustering algorithm (COIN) is proposed for clustering the categorical data. The proposed algorithm was tested on nine datasets gathered from the University of California at Irvine (UCI) repository. The experiments were made in two ways, one by specifying the number of clusters and another without specifying the number of clusters. The proposed COIN algorithm is compared with five existing categorical clustering algorithms such as Mean Gain Ratio (MGR), Min–Min-Roughness (MMR), COOLCAT, K-ANMI, and G-ANMI. The result analysis clearly reports that COIN outperforms other algorithms. It produced better accuracies for eight datasets (88.89%) and slightly lower accuracy for one dataset (11%) when compared individually with MMR, K-ANMI, and MGR algorithms. It produced better accuracies for all nine datasets (100%) when it is compared with G-ANMI and COOLCAT algorithms. When COIN was executed without specifying the number of clusters, it outperformed MGR for 88.89% of the test instances and produced lower accuracy for 11% of the test instances.
[Retracted] Design of Integrated Management System of IPE Instructional Resources Information Based on Artificial Intelligence Environment
Authors: Wang Duo
Published: September 2022

With the development of modern networks and their fast and convenient characteristics, the construction of instructional resources has become the focus of information construction in universities. Based on AI (Artificial intelligence) technology, this paper discusses the software development technology used in the comprehensive management system of IPE instructional resources. According to the application environment and application objects of the system, a comprehensive information management system of IPE instructional resources based on AI technology is constructed. In this paper, a concept similarity algorithm based on semantic similarity and semantic correlation is proposed to calculate the distance between words and establish concept mapping pairs. The semantic analysis of the information input by students is realized, and the proposed concept similarity algorithm is used in the domain ontology knowledge base to search for similar courses and recommend them to students for their choice. The test results show that the stability of this system can reach about 96%, which is about 10% higher than other systems. The comprehensive management system of instructional resources information proposed in this paper will promote educators and learners to find high‐quality IPE instructional resources.
Impact of Phytochemicals on PPAR Receptors: Implications for Disease Treatments
Authors: Enayati Ayesheh , Ghojoghnejad Mobina , Roufogalis Basil D. , Maollem Seyed Adel , Sahebkar Amirhossein
Published: September 2022

Peroxisome proliferator-activated receptors (PPARs) are members of the ligand-dependent nuclear receptor family. PPARs have attracted wide attention as pharmacologic mediators to manage multiple diseases and their underlying signaling targets. They mediate a broad range of specific biological activities and multiple organ toxicity, including cellular differentiation, metabolic syndrome, cancer, atherosclerosis, neurodegeneration, cardiovascular diseases, and inflammation related to their up/downstream signaling pathways. Consequently, several types of selective PPAR ligands, such as fibrates and thiazolidinediones (TZDs), have been approved as their pharmacological agonists. Despite these advances, the use of PPAR agonists is known to cause adverse effects in various systems. Conversely, some naturally occurring PPAR agonists, including polyunsaturated fatty acids and natural endogenous PPAR agonists curcumin and resveratrol, have been introduced as safe agonists as a result of their clinical evidence or preclinical experiments. This review focuses on research on plant-derived active ingredients (natural phytochemicals) as potential safe and promising PPAR agonists. Moreover, it provides a comprehensive review and critique of the role of phytochemicals in PPARs-related diseases and provides an understanding of phytochemical-mediated PPAR-dependent and -independent cascades. The findings of this research will help to define the functions of phytochemicals as potent PPAR pharmacological agonists in underlying disease mechanisms and their related complications.
SIRT3-Mediated CypD-K166 Deacetylation Alleviates Neuropathic Pain by Improving Mitochondrial Dysfunction and Inhibiting Oxidative Stress
Authors: Yan Binbin , Liu Qiang , Ding Xiaobao , Lin Yuwen , Jiao Xiaowei , Wu Yuqing , Miao Huihui , Zhou Chenghua
Published: September 2022

Numerous studies have shown that mitochondrial dysfunction manifested by increased mitochondrial permeability transition pore (mPTP) opening and reactive oxygen species (ROS) level, and decreased mitochondrial membrane potential (MMP) plays an important role in the development of neuropathic pain. Sirtuin3 (SIRT3), a nicotinamide adenine dinucleotide (NAD+)-dependent histone deacetylase, has been shown to inhibit mitochondrial oxidative stress. However, the role of SIRT3 in neuropathic pain is unclear. In this study, we found that the protein and mRNA levels of SIRT3 were significantly downregulated in the spinal cords of spared nerve injury- (SNI-) induced neuropathic pain mice, while overexpression of spinal SIRT3 reversed SNI-induced pain hypersensitivity. Further study showed that SIRT3 overexpression reduced the acetylation level of lysine 166 (K166) on cyclophilin D (CypD), the regulatory component of the mPTP, inhibited the mPTP opening, decreased ROS and malondialdehyde (MDA) levels, and increased MMP and manganese superoxide dismutase (MnSOD) in SNI mice. Point mutation of K166 to arginine on CypD (CypD-K166R) abrogated SNI-induced mitochondrial dysfunction and neuropathic pain in mice. Moreover, inhibiting mPTP opening by cyclosporin A (CsA) improved mitochondrial function and neuropathic pain in SNI mice. Together, these data show that SIRT3 is necessary to prevent neuropathic pain by deacetylating CypD-K166 and further improving mitochondrial dysfunction. This study may shed light on a potential drug target for the treatment of neuropathic pain.
Comparative Study and Improvement Analysis of Sparrow Search Algorithm
Authors: Yan Shaoqiang , Liu Weidong , Li Xinqi , Yang Ping , Wu Fengxuan , Yan Zhe
Published: September 2022

To solve the problem that the emerging sparrow search algorithm (SSA) lacks systematic comparison and analysis with other classical algorithms, this paper first introduces the principle of the sparrow search algorithm and then describes the mathematical model and algorithm description of the sparrow search algorithm. By comparing several classical intelligent algorithms with particle swarm optimization (PSO), differential evolution (DE), and gray wolf optimizer (GWO), the sparrow search algorithm’s theory and model are systematically compared and analyzed, and the advantages and disadvantages of SSA are summarized. Finally, based on the above research and previous research, the limitations of SSA and current improved SSA are analyzed, which provides ideas for further improvement of the algorithm.
PIAS1 Alleviates Hepatic Ischemia-Reperfusion Injury in Mice through a Mechanism Involving NFATc1 SUMOylation
Authors: Luo Jing , Li Jiequn , Li Ting , Zhang Zhongqiang , Chen Guangshun , Li Qiang , Qi Haizhi , Si Zhongzhou
Published: September 2022

Recently, attentions have come to the alleviatory effect of protein inhibitor of activated STAT1 (PIAS1) in hepatic ischemia-reperfusion injury (HIRI), but the underlying molecular mechanistic actions remain largely unknown, which were illustrated in the present study. Microarray-based analysis predicted a possible regulatory mechanism involving the PIAS1/NFATc1/HDAC1/IRF-1/p38 MAPK signaling axis in HIRI. Then, growth dynamics of hypoxia/reoxygenation- (H/R-) exposed hepatocytes and liver injury of HIRI-like mice were delineated after the alteration of the PIAS1 expression. We validated that PIAS1 downregulation occurred in H/R-exposed hepatocytes and HIRI-like mice, while the expression of NFATc1, HDAC1, and IRF-1 and phosphorylation levels of p38 were increased. PIAS1 inactivated p38 MAPK signaling by inhibiting HDAC1-mediated IRF-1 through NFATc1 SUMOylation, thereby repressing the inflammatory response and apoptosis of hepatocytes in vitro, and alleviated liver injury in vivo. Collectively, the NFATc1/HDAC1/IRF-1/p38 MAPK signaling axis is highlighted as a promising therapeutic target for potentiating hepatoprotective effects of PIAS1 against HIRI.
Factors Influencing Adverse Pregnancy Outcomes in Gestational Diabetes Mellitus
Authors: Zhao Fang , Xiao Bo
Published: September 2022

Objective. Analysis of gestational diabetes risk factors and their impact on pregnancy outcomes. Methods. A retrospective analysis of pregnant women who delivered in the obstetrics ward of a tertiary hospital was performed, and the pregnant women were divided into a case group and a control group according to their compliance with the diagnostic criteria of GDM. The underlying pregnancy, delivery, and pregnancy outcomes of both groups were statistically analyzed. Results. The detection rate and incidence rate of gestational diabetes were 13.0%, and the incidence rate was 14.5% compared to pregnancy and childbirth complications between the two groups. No statistical differences in placental weight and cord length were found compared to the sex of the newborns by comparing the basic profile of the two groups of perinatal infants. There was no statistical difference between fetal growth restriction and neonatal abnormalities, while there was a statistical difference in neonatal outcomes between the two groups. Conclusion. Age, family history, and weight are the risk factors for GDM.
CpG Oligodeoxynucleotides Inhibit RANKL-Induced Osteoclast Formation by Upregulating A20 Deubiquitinase in RAW 264.7 Cells
Authors: Kim Seong-Kyu , Choe Jung-Yoon , Park Ki-Yeun
Published: September 2022

Objective. Activation of toll-like receptor 9 (TLR9) has been proposed to play an inhibitory role in RANKL-induced osteoclastogenesis. A20 deubiquitinase has been found to be related to bone loss. This study investigated the role of CpG oligodeoxynucleotides (CpG-ODNs) through regulation of A20 deubiquitinase in RANKL-induced osteoclast formation. Methods. RAW 264.7 cells, a murine monocyte-macrophage cell line, were incubated with or without CpG-ODN in the presence of RANKL. Osteoclast-specific genes and their related signaling molecules were measured by real-time quantitative polymerase chain reaction and Western blot assay. Morphological assessment for osteoclast formation was performed using tartrate-resistant acid phosphatase (TRAP) staining and F-actin ring formation staining. Results. RANKL-induced osteoclast-related genes and proteins, c-Fos, NFATc1, TRAP, cathepsin K, and carbonic anhydrase II were significantly inhibited in RAW 264.7 cells stimulated with CpG-ODN. CpG-ODN attenuated TNF receptor-associated factor 6 (TRAF6), p-IκBα, and p-NF-κB expression in RAW 264 cells mediated by RANKL. CpG-ODN increased A20 gene and proteins in time-dependent manner. A20 expression under costimulation with CpG-ODN and RANKL was more decreased than under stimulation with RANKL alone. Cells transfected with A20 siRNA augmented expression of osteoclast-related genes and proteins. Number of TRAP-positive cells transfected with A20 siRNA was higher than those transfected with NC siRNA. A20 expression in cells transfected with IL-1β siRNA in the presence of both RANKL and CpG-ODN was more decreased than those with NC siRNA. Conclusion. This study showed that CpG-ODN suppressed RANKL-induced osteoclast formation through regulation of the A20-TRAF6 axis in RAW 264.7 cells.
An Intelligent Lighting Control System for Urban Street Lamps Using Internet of Things
Authors: Chen Zhigang , Li Mengjie , Liu Peipei , Fan Shengwen
Published: September 2022

With the rapid development of the city, the city’s intelligent lighting control system has gradually replaced the traditional lighting control system. But at present, there are still some problems in urban street lamp lighting control, such as a low level of intelligence, a huge waste of electric energy, improper maintenance, and so on. Firstly, aiming at the problem of untimely detection of street lamp faults, this paper adds GIS technology to the intelligent lighting system and uses GIS to locate the faulty street lamp. To improve the accuracy of intelligent dimming, an improved intelligent dimming algorithm based on a support vector machine is proposed. To verify the effectiveness of the proposed algorithm, an intelligent lighting control system based on an improved algorithm and GIS technology is designed in this paper. It can control the street light switch in real-time and monitor the working condition of the street light in real-time. The performance of the improved system is verified by experiments. The experimental results show that the system achieves automatic dimming function through an improved dimming algorithm; the system can alarm and locate the fault lamp position quickly; the system can achieve a greater energy-saving effect.
Investigation into Antiepileptic Effect of Ganoderic Acid A and Its Mechanism in Seizure Rats Induced by Pentylenetetrazole
Authors: Pang Wei , Lu Shuqing , Zheng Rong , Li Xin , Yang Shunbo , Feng Yuxia , Wang Shuqiu , Guo Jin , Zhou Shaobo
Published: September 2022

Ganoderic acid A (GAA) exhibited neuron protection in in vitro epilepsy study, but no study has been done in vivo. Rats were administered (i.p.) pentylenetetrazole daily for 28 days to induce seizure. Rats with grade II or above of epileptic score were divided into three groups and given placebo, sodium valproate, or GAA treatment, respectively, for 7 days. The electrical signals of brain were monitored with electroencephalography (EGG); epileptic behavior was assessed using the Racine scale; morphological changes and apoptosis rate of cortical neurons were assessed with H&E staining and TUNEL staining, respectively. Protein expression of calcium‐sensing receptor, p‐ERK, p‐JNK, and p‐p38 in hippocampal tissue and Bcl‐2, cleaved caspase‐3, and Bax in cortical tissues was observed by Western blot and immunohistochemistry assay, respectively. After GAA treatment, apparent seizure‐like EEG with significant arrhythmic disorder and spike waves was reduced or disappeared, and wave amplitude of EEG was reduced significantly. GAA showed similar effect with sodium valproate treatments on epilepsy. There were an apparent improvement of the epileptic behavior and a significant increase in the epileptic latency and shortening of the epileptic duration in the treatment group compared to control. GAA treatment ameliorated the nuclear pyknosis of neurons which appeared seriously in the epilepsy group. GAA treatment significantly reduced the cortical neuron apoptosis of epilepsy and the expression of calcium‐sensing receptor, p‐P38, p‐JNK, cleaved caspase‐3, and Bax but increased the expression of both p‐ERK and Bcl‐2. In conclusion, GAA treatment showed strong antiepileptic effect by decreasing apoptosis in cortical neuron and the expression of calcium‐sensing receptor and stimulating the MAPK pathway.
The Digitisation of Intangible Cultural Heritage Oriented to Inheritance and Dissemination under the Threshold of Neural Network Vision
Authors: Wang Qin
Published: September 2022

As economic transformation and social change have taken place, digital media and Internet technology have developed rapidly, and the need for the development of digital research on nonheritage oriented to transmission and dissemination is becoming increasingly strong. On the basis of cultural identity and cultural sovereignty, intangible cultural heritages (ICHs) are disappearing at an alarming rate, ICHs are facing an existential crisis, and their development prospects are worrying. With the emergence of neural network models, the development of digital technology has revived many things that were on the verge of extinction. Traditional cultures and industries that originally seemed unrelated can take on new forms with the help of digital technology, thus enabling ICHs to find new ideas for development. This paper takes Huizhou ICH as an example and tries to design and construct a Huizhou ICH database and a digital map of Huizhou ICH, and it establishes a database for management and operation. The paper applies the information space theory to study the use of digital resources of ICH under the threshold of the neural network and employs digital information technology to recode, reconstruct, and interpret ICH. As a result, traditional ICH items are displayed in a digital way, which improves the public’s recognition of digital ICH items, thereby promoting the inheritance and dissemination of ICH.
Optimization of the Intelligent Sensing Model for Environmental Information in Aquaculture Waters Based on the 5G Smart Sensor Network
Authors: Liu Tiancheng , Liu Jun , Wang Ji , Xu Jingsheng
Published: September 2022

This paper adopts a 5G smart sensor network to design intelligent sensing of environmental information in aquaculture waters, and in this way, we study the significance of optimizing the intelligent sensing model. Microservice architecture and big data analysis and processing will become the innovation of technology in the new era. In this regard, it is very important to study a set of aquarium monitoring and management system based on microservice architecture, so that users can understand the changes in the environment in the aquarium, manage a large amount of historical data quickly, and help users solve existing problems. The design pattern of MVVM architecture, unified management of the life cycle, and microservice architecture make the system very easy to expand and maintain; secondly, it realizes the automatic monitoring of the aquarium environment while making multilevel storage optimization for a large amount of data and realizes fast retrieval of a large amount of data; finally, the system can make intelligent regulation in the environmental control of ornamental fish and can automatically adapt to the environmental requirements of different ornamental fish. Finally, the system can make intelligent control in the environment control of ornamental fish and can automatically adapt to the needs of different ornamental fish environments. After testing its server concurrent processing capability, communication stability, and Android performance, the system runs stably. This paper analyzes the architecture module reuse rate and protocol performance; the module reuse rate analysis results show that the various types of modules in the architecture are reused many times and have strong generality, which effectively reduces the development cycle and development cost, and the architecture can quickly and efficiently integrate hardware units such as sensors, actuators, and communication modules; the protocol performance analysis shows that the designed protocol has high communication performance and meets the architecture. The protocol performance analysis shows that the designed protocol has high communication performance and meets the requirements of the architecture in terms of the transmission rate. At the same time, the edge computing module of the architecture further shifts down the edge computing tasks and lays the hardware foundation for the subsequent implementation of sensor data anomaly detection, data encryption transmission, and other functions.
Experimental Studies of Thermal Hydraulics of Deep Eutectic Solvent Based on Choline Chloride
Authors: Pyo Myung Hyun , Seo Siwon , Lee Jaeyoung
Published: September 2022

Molten salt reactor (MSR) is considered a promising 4th generation nuclear power plant because of its safety and suitability for SMR (small modular reactor). Also, molten salts are used in concentrating solar power (CSP) and energy storage system (ESS) as a heat storage medium. So molten salt has recently been researched a lot as heat storage and a transfer medium. However, molten salts’ high operating temperature (>450°C) and high Prandtl number make it hard to perform a thermal-hydraulic experiment in the laboratory. Thus, high Prandtl number and high viscosity fluid, deep eutectic solvents (DES), is chosen as a simulant of molten salts in this study. Thermal-hydraulic experiment using glyceline, which is easy to synthesize and transparent to visualize flow with high viscosity among various DESs, was performed. Also, the friction factor and heat transfer coefficient required for energy system designs were measured. As a result, it was found that glyceline is a Newtonian fluid, and the transition region from laminar to turbulent flow has a lower Reynolds number than water has. In addition, the heat transfer coefficient properties of glyceline were somewhat consistent with the existing correlations. To summarize, glyceline’s friction factor and heat transfer coefficient are predictable in existing theories, but the transition regions for those are different because flow development behavior between hydraulic and thermal boundary layers is different. Therefore, it is estimated that thermal-hydraulic experiments are essential when using high Pr numbers and high viscosity fluids such as DESs and molten salts as heat storage and transfer mediums.
Weighted Full-Focus Defect Detection and Imaging Method Based on Threshold Fusion for Phase Coherence Factor
Authors: Xie Yun , Zhou Lujing , Zhang Xiaobin , Wu Jinhu , Dou Jiaming
Published: September 2022

Total focus (TFM) ultrasonic inspection imaging only uses the amplitude of defect data for delayed stack imaging (DAS), ignoring the phase information in the echo signal, which easily leads to low imaging resolution and interferes with subsequent quantitative analysis of defect size. To solve these problems, this paper proposes a phase coherence factor (TF-PCF) weighted full-focus imaging method based on threshold fusion: by combining the image sound intensity matrix with mathematical statistics, a reasonable threshold is set to screen out the effective pixels, and the parameter selection rules of the PCI algorithm model are redefined. The simulation and experimental results show that the TF-PCF imaging algorithm can effectively eliminate the noise information in the imaging area, including the artifacts near the defects that are difficult to be processed by PCI. Compared with PCI, TF-PCF has higher ability to quantify defect size. When using p-wave to detect large objects with a large number of defects and complex location distribution, the lateral size quantization error of the TF-PCF imaging algorithm is reduced by 8.5%. When sampling shear wave imaging to detect defects with tilted wedges, the lateral and longitudinal size quantization errors of defects are reduced by 10% and 20%, respectively. The reliability of defect size quantitative analysis is improved. Under the same test conditions, the complexity of TF-PCF model is far less than that of PCI model, which greatly improves the practicability of the algorithm model.