bluuebunny/crossref_metadata_2025 huggingface dataset:
[Retracted] Inter‐Relationship Between a Transcriptional Regulator of Flagella Genes cj0440c and Thiamine Metabolic Pathway in Campylobacter jejuni
Authors: Shabbir Muhammad Abu Bakr , Ul-Rahman Aziz , Khalid Abdur Rauf , Ijaz Nabeel , Aleem Muhammmad Tahir , Ahmed Saeed , Alouffi Abdulaziz , Ahmed Waqas , Aslam Faiza , Maan Muhammad Kashif , Tahir Adnan Hassan , Aziz Muhammad Waqar , Almutairi Mashal M. , Hao Haihong
Published: August 2022

Campylobacter jejuni is a major cause of gastroenteritis in humans. It has been reported that the pathogenesis of C. jejuni is closely related to the formation, adhesion, and invasion of flagella toxin in host epithelial cells. A putative transcriptional regulator, known as cj0440c, is thought to be involved in the regulation of flagellar synthesis. However, confirmation of this hypothesis requires deep insight into the regulation mechanism of cj0440c and its possible relationship with different antibiotics. Therefore, the study explained here was designed to determine the relationship and function (phenotypically and genotypically) of cj0440c in the flagellar synthesis of C. jejuni NCTC11168. The study determined the mode of expression of cj0440c and flagella‐related genes under exposure to various drugs. To verify the involvement of cj0440c protein in the metabolic pathway of thiamine, an enzymatic hydrolysis experiment was performed and analyzed through the application of mass spectrometry. The overexpression vector of C. jejuni NCTC11168 was also constructed to find out whether or not target genes were regulated by cj0440c. The findings of the study showed that cj0440c and other flagella‐related genes were expressed differentially under the influence of various antibiotics including erythromycin, tylosin, azithromycin, gentamicin, etimicin, enrofloxacin, gatifloxacin, tetracycline, and tigecycline. The analysis showed that the cj0440c protein did not catalyze the degradation of thiamine. In conclusion, the study aids in the understanding of the inter‐relationship between the regulatory mechanism of flagella genes and the thiamine metabolic pathway.
Valsartan in Combination with Tripterygium Glycosides Protects against Chronic Nephritis via the Toll-Like Receptor 4 Pathway
Authors: Dong Jiabao , Huang Duo , Jing Ling , Wu Mengmeng
Published: August 2022

Objective. Valsartan has been studied to exert effects on kidney disease. However, the concrete function of valsartan in combination with tripterygium glycosides in chronic nephritis remained largely unknown. The study was designed to unravel the impacts of valsartan and tripterygium glycosides in chronic nephritis through the Toll-like Receptor 4 (TLR4) pathway. Methods. The renal function indicators such as serum creatinine (Scr), blood urea nitrogen (BUN) and β2 microglobulin (β2-MG), 24 h urine protein (Upro) levels, and blood lipid indicators such as total cholesterol (TC), low-density lipoprotein (LDL-C), triacylglycerol (TG) and high-density lipoprotein (HDL-C), inflammatory factors (e.g., IL-1β and IL-8), and the proportion of T lymphocyte subpopulations (CD4+ and CD8+) were detected in chronic nephritis patients before and after treatment with valsartan alone or valsartan combined with tripterygium glycosides. Symptoms of adverse reactions were recorded. TLR4 expression in the patients’ serum was examined. Results. Compared to patients before treatment, after treatment with valsartan alone or valsartan combined with tripterygium glycosides, the renal function indicators Scr, BUN, and 24 h levels were reduced, and TC, TG, and LDL-C levels were reduced, while HDL-C levels were elevated; inflammatory responses (IL-1β and IL-8) were mitigated; CD4+ ratio and CD4+/CD8+ ratio increased yet CD8+ ratio decreased; TLR4 expression was silenced after treatment. All of the changes were more obvious in patients after being treated with valsartan combined with tripterygium glycosides. Conclusion. Valsartan in combination with tripterygium glycosides protects against chronic nephritis via suppressing the Toll-like Receptor 4 pathway.
Creep Fracture Characteristics and the Constitutive Model of Salt Rock under a Coupled Thermo-Mechanical Environment
Authors: Wang Zhixia , Liang Xufeng , Guangwu Xue , Meng Tao , Zhang Jigang
Published: August 2022

The fracture extension characteristics of salt rocks under creep play an important role in the long-term safety and stability assessment of underground compressed air storage reservoirs. To study the fracture evolution characteristics of salt rock with time, the present study modified the Charles creep fracture intrinsic model and calibrated the A and n of the fracture extension coefficient parameters by creep fracture experiments with a constant stress rate loading method for salt rock under different temperature conditions. Finally, the modified Charles model was embedded into PFC (particle flow code) to simulate the fracture of salt rock numerically and the results were verified theoretically. The results show that (1) the fracture extension rate is related to the parameters A and n in addition to the stress intensity factor; (2) both n and A gradually decrease with the increase of temperature, and an decrease of n and A represents the decrease of fracture creep extension rate; and (3) the longer the initial fracture length of the specimen, the smaller the fracture time. The results of this study can provide theoretical guidance for evaluating the confinement of underground compressed air storage reservoirs.
Problems and Countermeasures of Ideological and Political Education Communication based on Multimedia Network
Authors: Zhang Qinfeng , Yang Lin , Wang Yihan
Published: August 2022

At this stage, the combination of information technology and education has continuously achieved breakthroughs, and the development of online education has ushered in a good opportunity. Especially after the outbreak of the new crown epidemic, online learning has developed rapidly. High-quality multimedia online education platforms have won a large number of users, among which are NetEase courses, MOCC, and online platforms built by domestic universities such as Peking University and Tsinghua University. After just a few years of development, these open online course platforms have become the representatives of online education platforms. With their high complementarity to offline education, they provide a useful supplement to the ideological and political teaching in schools at all levels in my country. How to make better use of the advantages of the multimedia network education platform so that it can exert a far-reaching influence in the field of ideological and political teaching has become an important subject for further innovation in this field. This paper analyzes the current situation of multimedia online teaching in colleges and universities by means of a questionnaire survey, summarizes the disadvantages, and puts forward suggestions for improvement. In view of the problems existing in multimedia teaching at this stage, we should promote the efficiency of multimedia teaching platform; training is carried out to improve teachers’ ability to use multimedia; resources are coordinated and a unified data resource base is created. The results show that the combination of offline teaching and multimedia network teaching can improve students’ enthusiasm in learning ideological and political courses.
[Retracted] Multidimensional CNN‐Based Deep Segmentation Method for Tumor Identification
Authors: Martin R. John , Sharma Uttam , Kaur Kiranjeet , Kadhim Noor Mohammed , Lamin Madonna , Ayipeh Collins Sam
Published: August 2022

Weighted MR images of 421 patients with nasopharyngeal cancer were obtained at the head and neck level, and the tumors in the images were assessed by two expert doctors. 346 patients’ multimodal pictures and labels served as training sets, whereas the remaining 75 patients’ multimodal images and labels served as independent test sets. Convolutional neural network (CNN) for modal multidimensional information fusion and multimodal multidimensional information fusion (MMMDF) was used. The three models’ performance is compared, and the findings reveal that the multimodal multidimensional fusion model performs best, while the two‐modal multidimensional information fusion model performs second. The single‐modal multidimensional information fusion model has the poorest performance. In MR images of nasopharyngeal cancer, a convolutional network can precisely and efficiently segment tumors.
Efficacy of Cetuximab in Nasopharyngeal Carcinoma Patients Receiving Concurrent Cisplatin-Radiotherapy: A Meta-Analysis
Authors: Wang Lin , Liu Dianjun , Wei Deyou
Published: August 2022

Background. Nasopharyngeal carcinoma (NPC) is a malignant neoplasm of the nasopharyngeal epithelium. Concurrent chemoradiotherapy has been established as a standard treatment for locoregional NPC, and cisplatin is a common agent in NPC treatment. Cetuximab is a monoclonal antibody against epidermal growth factor receptor. This meta-analysis was performed to evaluate the curative effectiveness and survival outcomes of cetuximab in NPC patients who received concurrent cisplatin-radiotherapy. Methods. PubMed, Cochrane Library, EMBASE, China National Knowledge Infrastructure (CNKI), Wan Fang, and China Biology Medicine disc (CBM) were used to search publications studying on concurrent chemoradiotherapy and/or cetuximab in NPC. The qualities of included RCTs were assessed by the Newcastle-Ottawa Scale. STATA 14.0 was used to conduct the statistical analysis. Results. In total, 17 trials with 2066 patients were included in this meta-analysis. The results from this study show that cetuximab improved the therapy efficacy in NPC patients who received concurrent cisplatin-radiotherapy. Cetuximab cotreatment improved the complete response (

RR
=
1.92

, 95% CI [1.61, 2.30]), and reduced stable disease (

RR
=
0.67

, 95% CI [0.51, 0.88]) as well as progression disease (

RR
=
0.24

, 95% CI [0.15, 0.40]). Besides, it also improved the overall survival (

RR
=
1.10

, 95% CI [1.02, 1.18]), disease-free survival (

RR
=
1.09

, 95% CI [1.03, 1.15]), metastasis-free survival (

RR
=
1.06

, 95% CI [1.01, 1.11]), and relapse-free survival (

RR
=
1.04

, 95% CI [1.01, 1.07]) in NPC patients. Conclusions. Cetuximab could improve the curative efficacy and survival outcomes of NPC patients who underwent concurrent cisplatin-radiotherapy. However, all the trials included were conducted in China; thus, the quality of the trials in this study remains doubtful. More high-quality RCTs should be included in further relevant studies.
Combined EEMD with a Novel Flexible Wavelet Threshold Function for Weighing Signal Denoising Approach
Authors: Liu Dan , Liao Xiang , Ouyang Shuo , Li Chaoshun
Published: August 2022

This paper proposes a method of combining ensemble empirical mode decomposition (EEMD) with a novel flexible wavelet threshold function to reduce the random error in the weighing result that caused by the nonstationary and nonlinear noise in quality characteristic parameter measurement equipment. The original signal is first processed by EEMD, and then, all intrinsic mode functions (IMFs) are processed by a novel flexible threshold function proposed by this paper. Finally, the denoised signal is obtained by adding reconstructed IMFs and residual. Through theoretical analysis, the proposed threshold function can retain more useful information and have continuity at the segmentation point. Moreover, the addition of adjustable parameters makes it more adaptable. Its advantages are verified by comparing the denoised results with other threshold functions in the simulation model. In weighing experiment, the validity of the novel flexible threshold function in weighing signal denoising is verified, and the effectiveness of the proposed method is also quantitatively confirmed by comparing the random errors of the original signal and the denoised signal.
Time Series Data Prediction and Feature Analysis of Sports Dance Movements Based on Machine Learning
Authors: Zheng DongXia , Yuan Yi
Published: August 2022

Sports dance is a competition project and a kind of sports, with the characteristics of being smooth, generous, leisurely, and comfortable, dance steps, smooth movements, and flowing clouds, and it can give full play to the indoor space. In the light of the new era, sports dance is also playing an increasingly important role. Through the time series data and feature analysis of dance sports movements through machine learning, the internal information is mined to find the trends and laws. Machine learning in the era of big data is widely used in research as the main tool for data analysis and mining. The key difficulty of data mining has always been time series data. Machine learning refers to a method of using the resulting data in a computer to derive a certain model and then using this model to make predictions. The core is “using algorithms to parse data, learn from it, and then make decisions or predictions about new data.”
Optimizing the Prognostic Model of Cervical Cancer Based on Artificial Intelligence Algorithm and Data Mining Technology
Authors: Ma Yue , Zhu Hongbo , Yang Zhuo , Wang Danbo
Published: August 2022

With the accumulation and development of medical multimodal data as well as the breakthrough in the theory and practice of artificial neural network and deep learning algorithm, the deep integration of multimodal data and artificial intelligence based on the Internet has become an important goal of the Internet of Medical Things. The deep application of the latest technologies in the medical field, such as artificial intelligence, machine learning, multimodal data, and advanced sensors, has a profound impact on the development of medical research. Artificial intelligence can achieve low-consumption and high-efficiency screening of specific markers due to its powerful data integration and processing capabilities, and its advantages are fully demonstrated in the construction of disease-related risk prediction models. In this study, multi-type cloud data were used as research objects to explore the potential of alternative CpG sites and establish a high-quality prognosis model of cervical cancer DNA methylation big data. 14,419 strict differentially methylated CpG sites (DMCs) were identified by ChAMP methylation analysis and presented these distributions based on different genomic regions and relation to island. Further, rbsurv and Cox regression analyses were performed to construct a prognostic model integrating these four methylated CpG sites that could adequately predict the survival of patients (

AUC
=
0.833

,

P
<
0.001

). The low- and high-risk patient groups, divided by risk score, showed significantly different overall survival (OS) in both the training (

P
<
0.001

) and validation datasets (

P
<
0.005

). Moreover, the model has an independent predictive value for FIGO stage and age and is more suitable for predicting survival time in patients with histological type (SCC) and histologic grade (G2/G3). Finally, the model exhibited much higher predictive accuracy compared to other known models and the corresponding expression of genes. The proposed model provides a novel signature to predict the prognosis, which can serve as a useful guide for increasing the accuracy of predicting overall survival of cervical cancer patients.
Characterization of an Endophytic Antagonistic Bacterial Strain Bacillus halotolerans LBG‐1‐13 with Multiple Plant Growth‐Promoting Traits, Stress Tolerance, and Its Effects on Lily Growth
Authors: Gao Jun-lian , Khan Mohammad Sayyar , Sun Yu-chen , Xue Jing , Du Yunpeng , Yang Chunhong , Chebotar Vladimir K. , Tikunov Vladimir S. , Rubanov Ivan N. , Chen Xuqing , Zhang Xiuhai
Published: August 2022

Microbial inoculants are an important tool for increasing arable land productivity and decreasing mineral fertilizer application. This study was aimed at isolating and identifying endophytic antagonistic bacteria from lily (Lilium davidii var. unicolor) roots grown in Northwestern China and at evaluating their antifungal activity and plant growth‐promoting characteristics. For this purpose, endophytic bacteria were isolated from plant roots, and plant growth‐promoting strains were identified. One bacterial strain, isolated from the root part, was identified as Bacillus halotolerans based on 16S rRNA gene sequence analysis and was designated as LBG‐1‐13. The strain showed antagonistic activities against important plant pathogens of lily including Botrytis cinerea, Botryosphaeria dothidea, and Fusarium oxysporum. The highest percentage of growth inhibition, i.e., 71.65 ± 2.39%, was observed for LBG‐1‐13 against Botryosphaeria dothidea followed by 68.33 ± 4.70% and 48.22 ± 4.11% against Botrytis cinerea and Fusarium oxysporum, respectively. Meanwhile, the isolated strain also showed plant growth‐promoting traits such as the production of indole‐3‐acetic acid (IAA), siderophore, ACC deaminase, and phosphate solubilization activity. The strain showed ACC deaminase activity and was able to cleave 58.41 ± 2.62 nmol α‐ketobutyrate (mg protein)-1 min-1. The strain exhibited tolerance to salt and drought stress in an in vitro experiment. The strain LBG‐1‐13 was able to grow in the presence of 10% NaCl and 20% polyethylene glycol (PEG) in the growth medium. Inoculation of Lilium varieties, Tresor and Bright Diamond, with LBG‐1‐13 enhanced plant growth under greenhouse and field conditions, respectively. All these results demonstrated that Bacillus halotolerans LBG‐1‐13 could be utilized as a good candidate in the biocontrol of lily disease and plant growth promotion in sustainable agriculture.
[Retracted] Analysis on the Construction of Marxist Ideological Discourse Power in the Environment of Big Data
Authors: Wang Siyu
Published: August 2022

The core of socialist ideology is Marxist discourse power, which refers to Marxism’s dominance in ideological education and dissemination as well as its dominant position throughout the entire social ideological system. Big data (BD) has altered how people think, captured recent advancements in the process of thinking development, enriched and advanced thinking science, and improved how people think in relation to the times. This paper examines the BD era’s discourse power construction of Marxist ideology. The percentage of respondents who answered “several times a day” when asked if they listen to, watch, or read political news on a daily basis increased from 7.2 percent in 2018 to 17.5 percent in 2021. The percentage of “once a day” and “several times a week” responses also increased, but the response “once or twice a week” did not. Understanding the latest developments and ideas in human thinking in the age of BD can help us think more broadly and creatively, and it can also give us the theoretical groundwork and thinking power to advance the use and development of BD.
Development Potential of the Internet of Things-Based Forest Recreation under the Background of Informatization
Authors: Feng Mingfen , Zhang Xiaomei , Liu Peichu
Published: August 2022

There are few studies on forest smart tourism currently, and most smart tourist service models are only studied and analyzed theoretically. Based on this, the Internet of Things (IoT), mobile communications technology, and smart tourism related ideas are discussed in depth in this study, followed by the construction of a forest smart tourist service model. The forest smart tourism evolutionary game model is then built based on the benefit relationships of various tourist sectors. Finally, the effect of the forest smart tourist service model and the forest smart tourism service evolutionary game model is evaluated using simulation experiments. The findings show that (a) daily passenger flow data from scenic spots in June was scattered, but the overall estimate gives that the daily passenger flow was more than 800; (b) daily passenger flow data from scenic spots in December was scattered, but overall estimate shows that the daily passenger flow was less than 300; and (c) the average profit value of the game model was 3.5, 3, and 6, respectively, under various circumstances. To summarize, the model provided in this paper is reliable and appropriate for optimizing forest smart tourist services. Through the constructed model, this work seeks to give theoretical reference for further boosting the development potential of forest recreation.
Motion Capture Technology and Its Applications in Film and Television Animation
Authors: Guo Yong , Zhong Chan
Published: August 2022

In order to improve the production effect of film and television animation, this paper combines motion capture technology to construct a film and television animation production system and proposes a simple correction method to eliminate the instability of animation frames. This method suppresses the occurrence of instability by introducing additional viscosity corresponding to shear waves in the vicinity of strong shock waves. Furthermore, this paper constructs two Riemannian solvers, HLLEC and HLLES, to study the stability of numerical carbuncle problems. In addition, this paper builds a film and television animation production system based on motion capture technology. Through the verification of motion capture and animation production effects, it can be seen that the film and television animation system based on motion capture technology proposed in this paper can effectively promote the improvement of the animation production effect.
Application and Practice of 2D Animation in Chinese Traditional Elements Based on Deep Learning Model
Authors: Zhang Xiao , Xu Jinhua , Yang Wei
Published: August 2022

With the progress and development of science and technology, the development of the animation industry is also rapidly accelerating. The animation industry has an inseparable relationship with the development of computers. Chinese animation originated in the 1920s. Although after so many years of precipitation, there have been some excellent animation works rich in national characteristics and national culture in China, but Chinese animation still lacks professional talents and has a poor creative environment. The problem cannot leave a deep impact on people. China has a long history. How to perfectly combine traditional Chinese elements with animation production and develop our own national characteristics through animation is a problem we have to consider. The article introduces the background of animation development, describes how to combine traditional Chinese elements with animation production, and solves the problems of rough picture quality and high collision rate in animation production. The research results of the article show the following: (1) the detail roughness of the 7 traditional element animation scenes of the 2D animation system proposed in the article has been kept below 2%, and the image quality clarity is higher than 99%, which is the performance of the 3 systems. The highest one can also show that the system proposed in the article has the best control effect for different animation scene details. The 2D animation system proposed in the article presents a steady trend of fluctuations in the dynamic light and shadow of the scene details of the 7 traditional element animations, with good detail connectivity, and the system proposed in the article occupies the least memory and has the highest stability. (2) The waiting time of the 2D animation system is the lowest among the three systems. Only in a few cases, it needs to wait for 1 s, and the rest of the animation scenes are not delayed. The dynamic animation interaction system and the real-time character animation system have poor real-time operation , and there is a certain delay. The number of collisions of the 2D animation system is the least, almost negligible. Both the dynamic animation interaction system and the real-time character animation system have a certain degree of collision. The distortion rate of the 2D animation system is generally low and will not increase with the number of experiments. However, the other two systems have higher animation distortion rates, which cannot meet the needs of animation production.
[Retracted] Preventive Electroacupuncture Alleviates Oxidative Stress and Inflammation via Keap1/Nrf2/HO‐1 Pathway in Rats with Cyclophosphamide‐Induced Premature Ovarian Insufficiency
Authors: Chen Yang , Zhao Rui , Li Xiang , Luan Yun-peng , Xing Li-wei , Zhang Xiao-juan , Wang Jing , Xia Xiao-yan , Zhao Rong
Published: August 2022

Electroacupuncture (EA) is a popular therapeutic therapy for premature ovarian insufficiency (POI). However, little has been known about the underlying processes of EA therapy. To investigate the benefit of EA and reveal the mechanism, thirty SD female rats were allocated into the control, model, sham, EA, and GnRHa groups at random. Vaginal smears were used to monitor the rats’ estrous cycle. Serum liver and renal function (ALT, AST, BUN, and Cr), sex hormone (FSH, E2, and AMH), oxidative stress markers (SOD, GSH, and MDA), and inflammatory cytokine (IL6, IL1β, and TNFα) levels were measured by enzyme‐linked immunosorbent assay (ELISA). Their ovary morphology was observed by hematoxylin‐eosin staining. Transmission electron microscope was used to remark the ultrastructure of the granulocytes. Protein and gene expressions of Keap1/Nrf2/HO‐1 pathway were detected by western blot and RT‐PCR. Compared with the model group, in the EA group, the levels of serum sex hormones recovered to normal levels. Moreover, it reduced oxidative stress in rats, as demonstrated by increased SOD and GSH levels and decreased MDA levels. Meanwhile, Keap1 mRNA and protein expression dropped considerably in the EA group, while the mRNA and protein expressions of Nrf2 and HO‐1 increased. We found that preventive EA might rescue rats with CTX‐induced ovarian dysfunction. The anti‐inflammatory and antioxidative stress properties of EA, which elevated the Keap1/Nrf2/HO‐1 signaling pathway, might be the underlying mechanism. Furthermore, as compared to GnRHa, electroacupuncture did not raise the burden of the liver (ALT and AST) or the kidney (BUN and Cr). Electroacupuncture has a meaningful impact and a sufficient level of safety, making it useful for therapeutic setting in POI.
Discovery of Product Features for Redesign from User Implicit Feedback
Authors: Wang Xiaolong , Wang Yu , Wu Jiacong , Shafiee Sara
Published: August 2022

Online reviews are key sources to help manufacturers design and improve their products. However, using online reviews for product redesign is challenging because many online reviews contain useless information, and customers rarely provide explicit information about the products. The few methods available to recognize the customers’ demands from online reviews have several limitations, including failing to consider the redundancy of useless reviews, confusion in providing targeted information among different aspects of product design, and disregarding the manufacturing limitation. Hence, considering customer needs and manufacturing constraints for product improvement, this study proposes a new model called DPFR to discover the potential product features for redesign. In DPFR, it first analyzes and predicts helpfulness of reviews for more effective decision of product design and improvement, which is neglected in previous research. Then, a structured model based on topic modeling is conducted. Overlooked by previous researchers, DPFR also introduces a feature importance matric to measure the significance of each commented feature to product redesign. Third, a target features selection model is conducted further considering the limitations of manufacturers rather than only focusing on customer satisfaction. The effectiveness of the proposed model was assessed using a case study of data acquired from Bilibili, a large short-video platform in China. Focusing only on customer satisfaction, the results confirm the effectiveness of DPFR. Finally, including the constraints of product redesign, DPFR balances customer satisfaction and the manufacturing constraints such as redesign cost, redesign time, and carbon emissions. This study provides more practical suggestions for manufacturers to discover product redesign features that result in strategic product improvement decisions.
A COVID-19 Auxiliary Diagnosis Based on Federated Learning and Blockchain
Authors: Wang Ziyu , Cai Lei , Zhang Xuewu , Choi Chang , Su Xin
Published: August 2022

Due to the high transmission rate and high pathogenicity of the novel coronavirus (COVID-19), there is an urgent need for the diagnosis and treatment of outbreaks around the world. In order to diagnose quickly and accurately, an auxiliary diagnosis method is proposed for COVID-19 based on federated learning and blockchain, which can quickly and effectively enable collaborative model training among multiple medical institutions. It is beneficial to address data sharing difficulties and issues of privacy and security. This research mainly includes the following sectors: in order to address insufficient medical data and the data silos, this paper applies federated learning to COVID-19’s medical diagnosis to achieve the transformation and refinement of big data values. With regard to third-party dependence, blockchain technology is introduced to protect sensitive information and safeguard the data rights of medical institutions. To ensure the model’s validity and applicability, this paper simulates realistic situations based on a real COVID-19 dataset and analyses problems such as model iteration delays. Experimental results demonstrate that this method achieves a multiparty participation in training and a better data protection and would help medical personnel diagnose coronavirus disease more effectively.
[Retracted] Fluoride Exposure Suppresses Proliferation and Enhances Endoplasmic Reticulum Stress and Apoptosis Pathways in Hepatocytes by Downregulating Sirtuin‐1
Authors: Yu Yanlong , Li Ling , Yu Wenfeng , Guan Zhizhong
Published: August 2022

Objective. To explore the function and mechanism of Sirt‐1 in fluorine‐induced liver injury. Method. Fluorosis rats were first established. The fluorine content, pathological structure, collagen fibers, and fibrosis in liver tissues were tested through the fluoride ion selective electrode method, H&E, Masson, and Sirius red staining; alanine aminotransferase (ALT), aspartate aminotransferase (AST), interleukin 18 (IL‐18), and tumor necrosis factor‐α (TNF‐α) levels in rat serum were also analyzed using ELISA kits. Then, the fluorosis cell model was built, which was also alleviated with NaF, Sirt‐1 siRNAs, or endoplasmic reticulum stress (ERS) alleviator (4‐PBA). CCK‐8 also assessed cell proliferation; RT‐qPCR or Western blots detect sirtuin‐1 (Sirt‐1), protein kinase R‐ (PKR‐) like endoplasmic reticulum kinase (PERK), and endoplasmic reticulum stress (ERS) and apoptosis‐related protein levels in liver tissue. Results. Our results uncovered that fluorine exposure could aggravate the pathological damage and fibrosis of rat liver tissues and increase indicators related to liver injury. And fluoride exposure also could downregulate Sirt‐1 and upregulate ERS‐related proteins (PERK, 78‐kD glucose‐regulated protein (GRP‐78), and activating transcription factor 6 (ATF6)) and apoptosis‐related protein (caspase‐3 and C/EBP‐homologous protein (CHOP)) in rat liver tissues. Besides, we proved that fluoride exposure could suppress proliferation and enhances ERS and apoptotic pathways in AML12 cells by downregulating Sirt‐1. Moreover, we revealed that ERS alleviator (4‐PBA) could induce proliferation and prevent ERS and apoptosis in fluorine‐exposed AML12 cells. Conclusions. We suggested that fluorine exposure can induce hepatocyte ERS and apoptosis through downregulation of Sirt‐1.
Chromium Removal from Electroplating Wastewater Using Activated Coffee Husk Carbon
Authors: Aragaw Temesgen , Leta Seyoum , Alayu Ermias , Mekonnen Andualem
Published: August 2022

Chromium (Cr) is a heavy metal that has a serious environmental pollution problem. Electroplating wastewater contains high level of Cr that surpassed the acceptable environmental discharge standard limit in surface water bodies and causes aquatic ecosystem risks. Various studies have been conducted in Ethiopia on the removal of Cr from various types of wastewater; however, factual studies on the adaptability of cost-effective activated coffee husk carbon for the removal of Cr from electroplating wastewater are lacking. Thus, this study was conducted to evaluate the Cr adsorption efficiency of activated coffee husk carbon from electroplating wastewater at laboratory scale. The activated coffee husk carbon’s pH, electrical conductivity (EC), ash content, moisture content, bulk density, particle size, pore volume, porosity, volatile organic matter, carbon yield, and carbon:nitrogen ratio were determined following standard methods. In the adsorption experiment, adsorbent dosage, agitation speed, contact time, pH, and initial concentration were optimized. Models were used to examine the adsorption isotherms and kinetics. The ability of activated coffee husk carbon to desorb Cr was investigated. The adsorbent functional groups and surface morphology were examined using Fourier transform infrared (FTIR) spectroscopy and scanning electron microscope (SEM), respectively. Analysis of the physicochemical characteristics of the adsorbent showed that the activated coffee husk carbon has good quality, and thus, playing an important role in metal adsorption. Furthermore, FTIR analysis also confirmed the presence of hydroxyl, carboxyl, and other important functional groups, which promote heavy metal adsorption. The adsorption process optimization revealed 99.65% maximum Cr adsorption efficiency at 120 min contact time, 40 mgL-1 initial concentration, 150 rpm agitation speed, pH 7.0, and 20 gL-1 adsorbent dosages. From the adsorption model studies, Freundlich sorption isotherm and pseudosecond-order models were well fitted with respective [Formula: see text] values of 0.987 and 0.999. A 60% Cr was removed according to desorption studies. In general, due to the ease with which coffee husk can be obtained from coffee processing facilities, its use as an absorbent will be cost-effective and considered as an alternative option in removing Cr metal from wastewaters.
Application of Chemical Technology of Water-Based Acrylic Dipping Paint in Art Painting Creation
Authors: Kong Xiangfeng , Meng Xiangzhen
Published: August 2022

In order to better sort out the superiority of water-based acrylic in painting art, explore and understand the uniqueness of water-based acrylic painting materials and apply this to art creation. The author proposes a chemical process based on water-based acrylic dipping paint, by discussing the coating and film properties of water-soluble acrylic dip paint, combined with the practical application of a casting tank; summarizing the countermeasures to solve the disadvantages of common paint films; and proving that the paint has a good comprehensive performance by comparing with other dipping paints. Experimental results show that based on the chemical process of water-based acrylic dipping paint, it has waterproof, high gloss, gloss retention, color retention, high weather resistance, and good corrosion resistance in the process of art painting; the physical parameters are better than other dipping paints, such as gloss can reach 70∼80%. Conclusion. In art painting, water-based acrylic dip paint is a kind of comprehensive performance paint with waterproof, high gloss, gloss retention, and color retention.
GMM Clustering Based on WOA Optimization and Space-Time Coupled Urban Rail Traffic Flow Prediction by CEEMD-SE-BiGRU-AM
Authors: Jiang Qiong
Published: August 2022

Accurately predicting the short-term passenger flow of urban subways is very important for urban subway stations to formulate passenger flow organization and evacuation plans effectively and rationally plan passenger travel routes. This paper establishes a novel framework to predict the hourly inbound and outbound passenger flow of subway stations based on WOA-GMM station classifiers, CEEMD-SE noise reduction, and BiGRU optimized by attention. Firstly, this paper classifies subway stations using the improved Gaussian mixture model (GMM) with Whale Optimization Algorithm (WOA) to realize the feature extraction of different types of subway stations. Secondly, this paper uses the Complementary Ensemble Empirical Mode Decomposition (CEEMD) to decompose the noise reduction of each station’s hourly inbound and outbound passenger flow. It combines the empirical modal components by calculating the sample entropy (SE), which makes the time series stable and reduces the time cost of forecasting. Finally, a Bidirectional Gated Recurrent Unit (BiGRU) model improved by attention mechanism (AM) is established for each station’s inbound and outbound passenger flow. The prediction model established in this paper is verified by subway passenger flow data in Shanghai, China, within 24 days. Finally, it is concluded that the model can predict the passenger flow of subway stations. Compared with the traditional Backpropagation Neural Network (BP), the Long Short-Term Memory (LSTM), and the normal BiGRU model, the model proposed in this paper has an average reduction of 65.90%, 64.54%, and 49.06% in Mean Absolute Percentage Error (MAPE) in the prediction of the hourly inbound and outbound passenger flow of each type of station, respectively.
Search-Free Angle, Range, and Velocity Estimation for Monostatic FDA-MIMO
Authors: Ding Zihang , Xie Junwei , Ge Jiaang
Published: August 2022

The monostatic frequency diverse array multiple-input multiple-output (FDA-MIMO) has attracted much attention recently. However, much research is concentrated on the estimation of angle-range parameters based on the FDA-MIMO radar, and the velocity has not been considered. In this study, we propose a search-free method to estimate these parameters. To overcome the problem of the high computational complexity associated with the searching estimation algorithms, the parallel factor (PARAFAC) decomposition is introduced to estimate the space-time steering vector. Next, we can utilize the least square method to solve the angle, range, and velocity of each target. In addition, the Cramér–Rao bounds (CRBs) of angle, range, and velocity are derived. Besides, the other performance analysis consists of the root mean square error, and complexity is derived. We compare the PARAFAC decomposition algorithm with the estimation of signal parameters via the rotational invariance techniques (ESPRIT) algorithm, and our method owns a superior performance. Finally, the proposed method is verified by simulations and has the ability to achieve greater estimation accuracy than existing algorithms.
[Retracted] The Influence of PDCA Process Management on the Incidence of Stab Wound and Psychological Anxiety of Nursing Interns
Authors: Chen Meitong , Zhang Dan
Published: August 2022

Objective. To research the influence of PDCA (Plan‐Do‐Check‐Act) process management on the incidence of needle injury and psychological anxiety of nursing interns. Methods. This study belonged to the experimental study. A total of 180 nursing interns who practiced in the hospital from March 2020 to April 2022 were studied. A total of 135 interns from March 2020 to March 2021 were selected as the control group and 175 interns from April 2021 to April 2022 as the research group. PDCA process management was carried on in the research group. The control group did not make any intervention only following the routine teaching plan. The incidence of needle injury, theoretical knowledge, behavior score, self‐rating anxiety scale (SAS), professional self‐efficacy questionnaire score, and nursing practice satisfaction score were evaluated before and after 12 months of management. Results. After management, the incidence of needle injury in the research group was lower compared to that in the control group, and there are statistically significant differences between groups (P < 0.05). The scores of theoretical knowledge, attitude, and behavior in the research group were higher compared to those in the control group, and there are statistically significant differences between groups (P < 0.05) after management. After 12 months of management, the SAS score of the research group was lower compared to that of the control group, and there are statistically significant differences between groups (P < 0.05). The score of occupational self‐efficacy questionnaire in the research group was higher compared to that in the control group, and there are statistically significant differences between groups (P < 0.05) after PDCA process management. After 12 months of management, the satisfaction score of nursing practice in the research group was higher compared to that in the control group, and there are statistically significant differences between groups (P < 0.05). Conclusion. Through PDCA process management, we can keep abreast of the situation of needlestick injuries among nursing students in practice and analyze in more detail the root cause of each nursing student’s occupational exposure and the outcome of treatment. The nursing students not only learn more practical knowledge in clinical practice but also feel that the hospital values and cares for them, which greatly increases their satisfaction.
Western Music History Recommendation System Based on Internet-of-Things Data Analysis Technology
Authors: Qiu Huizi , Jia Xiaotong
Published: August 2022

The quantity of Western music works is growing at an ever-increasing rate, making it difficult for music listeners to identify their favorites quickly. Thus, the music recommendation algorithm targeted music works based on previous user actions, reducing user weariness, and improving overall user experiences. This can minimize the exhaustion experienced by the consumers and increase the overall user experience. In this paper, the Internet of Things-based Western Music Recommendation (IoT-WMR) system can provide music listeners with reliable recommendations. It is used to categorize Western music genres such as traditional music, rock, jazz, and Hip–Hop/Rap. Two distinct activation functions and two different gradient descent techniques are compared and contrasted using the convolutional neural network (CNN). The two classification techniques can be compared depending on the spectrum and feature frequency of the spectrum and musical notes. This paper provides a music classification algorithm that can augment classification approaches in evaluating musical data.
Engineering Safety Management System Based on Robot Intelligent Monitoring
Authors: Wang Yanli
Published: August 2022

In order to improve the effect of engineering safety management, this paper combines intelligent monitoring technology to construct a monitoring robot system. Moreover, this paper analyzes the characteristics of the digital impulse signal and analyzes the least square filtering and infinite impulse response filtering. At the same time, this paper detects the sample material on the detection test platform, obtains the digital pulse signal, and selects different filtering algorithms and filtering parameters. In addition, this paper uses a signal analysis and processing platform to establish a gamma energy spectrum and analyze the resolution of hydrogen peaks in the gamma energy spectrum. Finally, this paper compares and verifies the filtering algorithms and constructs an engineering safety management system based on robot intelligent monitoring. From the simulation monitoring test results, it can be seen that the engineering safety management system based on robot intelligent detection proposed in this paper has a good effect.
Multidrug‐Resistant Biofilm, Quorum Sensing, Quorum Quenching, and Antibacterial Activities of Indole Derivatives as Potential Eradication Approaches
Authors: Odularu Ayodele T. , Afolayan Anthony J. , Sadimenko Alexander P. , Ajibade Peter A. , Mbese Johannes Z.
Published: August 2022

Challenges encountered in relapse of illness caused by resistance of microorganisms to antimicrobial agents (drugs) are due to factors of severe stress initiated by random use of antibiotics and insufficient beneficial approaches. These challenges have resulted to multiple drug resistance (MDR) and, subsequently, biofilm formation. A type of intercellular communication signal called quorum sensing (QS) has been studied to cause the spread of resistance, thereby enabling a formation of stable community for microorganisms. The QS could be inhibited using QS inhibitors (QSIs) called quorum‐quenching (QQ). The QQ is an antibiofilm agent. Indole derivatives from plant sources can serve as quorum‐quenching eradication approach for biofilm, as well as a promising nontoxic antibiofilm agent. In other words, phytochemicals in plants help to control and prevent biofilm formation. It could be recommended that combination strategies of these indoles’ derivatives with antibiotics would yield enhanced results.
[Retracted] Clinical Observation of General Anesthesia Combined with Spinal Anesthesia in Elderly Patients with Chronic Obstructive Pulmonary Disease
Authors: Chen Jie , Wang Jing , Duan Xiaohui , Ping Fumin , Zhang Aiming
Published: August 2022

Objective. This work is aimed at evaluating the efficacy and safety of general anesthesia (GA) combined with spinal anesthesia (SA) (GA+SA) in elderly patients with chronic obstructive pulmonary disease (COPD). Methods and Material. 50 elderly COPD patients were rolled randomly into a control group (simple GA) and observation group (GA+SA). The differences in operation time, postoperative recovery time (PRT), language expression time (LET), anesthetic dosage (AD), catheter extubation time (CET), respiratory circulation indicators (mean arterial pressure (MAP), heart rate (HR), SaO2, and PaO2), postoperative VRS score, pulmonary function (forced vital capacity (FVC)), forced expiratory volume in 1 s (FEV1)/FVC and forced expiratory flow (FEF 25%~75%), serum inflammatory factors (IL‐6, IL‐8, and TNF‐α), Short Portable Mental Status Questionnaire (SPMSQ) score, and the incidence of respiratory system events were analyzed. Results. The results showed that the PRT, LET, AD, and CET of the observation group were all shorter (P < 0.05). The postoperative MAP, HR, SaO2, and PaO2 levels of patients who received GA+SA were much higher than those who received simple GA (P < 0.05). The postoperative VRS score of the observation group was better than that of the controls (P < 0.05). The postoperative pulmonary function of patients in the observation group was better compared with that in the control group (P < 0.05). The postoperative serum inflammatory factors in the observation group were lower in contrast to the patients who received simple GA (P < 0.05). The postoperative cognitive function SPMSQ score of patients who received GA+SA was lower compared with the score of patients who received simple GA (P < 0.05). However, the probability of respiratory system events in the observation group was lower (P < 0.05). Conclusion. In conclusion, GA+SA could significantly shorten the PRT and improve the recovery quality of elderly COPD patients. It can also reduce the postoperative inflammatory response and strengthen the pulmonary function and cognitive function. It also enhances the analgesic which is beneficial to patients’ postoperative recovery. Therefore, GA+SA was a highly effective and safe anesthesia method for elderly patients with COPD, and it was worthy of clinical application.