bluuebunny/crossref_metadata_2025 huggingface dataset:
Solution of the Liouville–Caputo time- and Riesz space-fractional Fokker–Planck equation via radial basis functions
Authors: Sepehrian B. , Shamohammadi Z.
Published: March 2022

In this paper, radial basis functions (RBFs) method is proposed for numerical solution of the Liouville–Caputo time- and Riesz space-fractional Fokker–Planck equation with a nonlinear source term. The left-sided and the right-sided Riemann–Liouville fractional derivatives of RBFs are computed and utilized to approximate the spatial fractional derivatives of the unknown function. Also, the time-fractional derivative is discretized by the high order formulas introduced in [J. X. Cao, C. P. Li and Y. Q. Chen, High-order approximation to Caputo derivatives and Caputo-type advection-diffusion equations (II), Fract. Calculus Appl. Anal. 18(3) (2015) 735–761]. In each time step, via a collocation method, the computations of fractional Fokker–Planck equation are reduced to a linear or nonlinear system of algebraic equations. Several numerical examples are included to demonstrate the applicability, accuracy and stability of the method. Some comparisons are made with the existing results.
Square-free and square-full part of an integer
Authors: Srichan Teerapat
Published: March 2022

Any positive integer [Formula: see text] can be written uniquely as [Formula: see text] where [Formula: see text] is square-full, [Formula: see text] is square-free and [Formula: see text] We denote the square-full part and the square-free part of [Formula: see text] by [Formula: see text] and [Formula: see text] respectively. In this paper, we use an elementary method to study the distribution of square-free and square-full part of an integer. Moreover, we also study the distribution of primitive roots modulo a prime [Formula: see text] that are square-full number.
CPEC in Pakistan’s Quest for Energy Security
Authors: Ali Murad
Published: March 2022

Since the inception of the China-Pakistan Economic Corridor (CPEC), one of the six corridors envisaged under President Xi’s signature Belt and Road Initiative (BRI) in Pakistan, there has been criticism in academic circles as well as media about sustainability issues. In an article published in Strategic Analysis in 2017 entitled “CPEC in Pakistan’s Quest for Energy Security,” the authors raised some questions related to Chinese-funded projects. Based on the overall analysis of various CPEC projects, the paper had reached several conclusions. First, it stated that “the prospects of Pakistan being energy sufficient seem bleak for several reasons” related to the lack of proper implementation mechanisms. Second, it argued that there are discrepancies concerning financing of CPEC energy projects as it was not clear whether it was loan or foreign direct investment (FDI). In the same vein, the authors asserted that “most of the projects would be financed by Pakistan, not by China or other foreign investors.” Third, the paper emphasized that there are concerns that Chinese companies would bring their own labor. The authors also highlighted the issue of tied aid or loans as most of the procurement involved Chinese products and services. And finally, the paper discussed the issue of special incentives given to Chinese companies as they are exempted from various taxes. Based on primary data obtained in Pakistan and complemented by secondary data available in the form of government documents and policy reports of national and international organizations, this paper challenges the major assumptions presented in the previous work on this subject. The study concludes that although there are issues in smooth implementation of projects, the CPEC has the potential to make Pakistan energy sufficient and usher in a new era of development.
An Effective Model for Forecasting Travel Consumer Demand Using Big Data Analysis
Authors: Yu Huixia
Published: March 2022

As a result of gathering information from multiple consumer centers, big data (BD) assists in analyzing traveler patterns and developing a unique marketing plan tailored to the target demographic. BD tourism forecasting is a relatively new academic field because of the challenges in capturing, gathering, and modeling this sort of data due to its inherent privacy and economic importance. The growth rate of cruise tourists has slowed down after years of rapid expansion. Investing in homeports, cruise ships, and promotional activities carries a growing danger of financial loss. To make investment decisions and prepare for the future, it is necessary to predict tourism demand. We present the least-squares vector regression (LSVR) model with the gravitational search method for forecasting demand for cruise tourism (FCT) based on BD to improve forecasting performance. As a part of the proposed model forecasting demand for cruise tourism based on big data (FDCT-BD), hyper-parameters of the LSVR model are improved using an algorithm and by comparing these models with various configuration combinations. This paper forecasts tourist arrivals based on internet BD from a search engine and online review platforms and the comparative advantage of multi-platform forecasting over single-platform forecasting based on online review data. However, the results show that the methodology’s recommended framework is successful and that BD may estimate cruise tourist demand with enhanced performance and accuracy 93.8% and 97.9%, respectively.
Digital Transformation of Enterprise Finance under Big Data and Cloud Computing
Authors: Zhang Feiteng
Published: March 2022

In today’s rapid development of technology, with the popularity and use of information technology networking, big data and cloud computing technology are gradually integrated into all walks of life. In this context, the financial management and control of enterprises have put forward higher requirements and brought greater challenges for enterprise finance. In the actual work, how to analyze the problems of enterprise financial management according to the actual situation of the enterprise and effectively apply big data and cloud computing technology to the work practice of enterprise financial control is a problem worth exploring.
Study of Numerous Resins Used in Polymer Matrix Composite Materials
Authors: Ramakrishnan T. , Mohan Gift M. D. , Chitradevi S. , Jegan R. , Hency Jose P. Subha , Nagaraja H.N. , Sharma Rajneesh , Selvakumar P. , Hailegiorgis Sintayehu Mekuria
Published: March 2022

There are a slew of elements at work in the composites sector, from people and markets to technology and innovation, that are continually reshaping the industry's structure. For now, composite materials' winning combination of high strength-to-weight ratio continues to propel them into new areas, but other attributes are just as crucial. These properties, which may be customized for unique purposes, result in a completed product requiring fewer raw materials and fewer joints and fasteners, as well as reduced assembly times, thanks to composite materials. To lower product lifespan costs, composites also have demonstrated resilience in industrial applications to temperature extremes as well as corrosion and wear. Polymers, ceramics, and metals can all be used as matrices. Thermoplastic (TP) resin is the second most prevalent matrix type, and it is becoming increasingly popular among composite makers. By melting or softening and then chilling the material, thermoplastic linear polymer chains are generated and may be reformed into shaped solids. It is common for thermoplastics to be offered in sheet or panel form, which may be treated using in situ consolidation processes, such as pressing, to manufacture durable, near-net-shape components without the need for an autoclave or vacuum bag cure. Correcting abnormalities or fixing harm done in service is possible with reformability.
SingleNet: A Lightweight Convolutional Neural Network for Safety Detection of an Industrial Control System
Authors: Sha Yun , Chen Jianping , Gan Jianwang , Yan Yong , Liu Xuejun , Wang Hao
Published: March 2022

The traditional industrial control security research mainly focuses on network intrusion detection or trapping system and lacks abnormal detection after intrusion, and the abnormal detection algorithm ability of the underlying operation data of industrial control is insufficient. The modern industrial control system is a side-cloud collaborative architecture that accesses the Internet, the edge side is usually an industrial computer with weak computing power, and the deep learning algorithm requires a lot of computing resources and is difficult to use directly on the edge side. In this paper, a lightweight convolutional neural network anomaly detection algorithm “SingleNet” suitable for the edge side of the industrial control system is proposed, which convolutes the data of each sensor for a period of time and calculates the feature correlation between points in the association calculation layer. Experimental results show that the accuracy rate on the oil depot dataset is increased from 73% to 99.4%, the training time is shortened from 2 hours to 3 minutes, and the model size is compressed from 101 MB to 1.6 MB. The accuracy rate is improved from 87% to 99.2% on the Mississippi dataset, the training time is shortened from 15 minutes to 3 minutes, and the model size is compressed from 10.6 MB to 1.63 MB. The accuracy rate is improved from 85% to 99.4% on the Batadal dataset, the training time is shortened from 18 minutes to 3 minutes, and the model size is compressed from 15.5 MB to 1.62 MB. Compared with several lightweight algorithms recently proposed, SqueezeNet, MobileNet, and ShuffleNet, the proposed algorithm has significantly improved the performance indicators of training speed, accuracy, model size, and iteration time on the industrial control datasets. Both the training and testing of the algorithm can be done on the CPU, making it possible to apply deep learning to the edge side of the industrial control system.
Pedestrian Attitude Estimation and Recognition Algorithm Based on RF Data
Authors: Zhang Jie , Sun Dejie , Li Xin , Li Gang , Wei Yangsen
Published: March 2022

Pedestrian detection plays a vital role in the estimation of human posture, especially the pedestrian detector, which provides the position information of human body in the image. This paper proposes a pedestrian gesture recognition algorithm using radio frequency data based on RFID technology. Its goal is to serve as a starting point for research in the field of human gesture recognition. The position of pedestrians in the input picture can be adaptively adjusted by learning the transformation parameters of samples during network training, and the local features of each block can be trained by multiple cross entropy functions at the network’s end, allowing the sample local area to be fully utilized as the network’s training. More accurate DFL and attitude feature recognition can be achieved using the measured received signal strength information and channel state information. The pedestrian gesture recognition algorithm based on RF data proposed in this paper improves pedestrian recognition accuracy, especially in noisy environments, such as fuzzy or occlusion, according to experimental results.
Systematic Approach of TOPSIS Decision-Making for Construction Method Based on Risk Reduction Feedback of Extended QFD-FMEA
Authors: Cho Jaeho , Chae Myungjin
Published: March 2022

The key factors in the decision-making process are uncertainty, probability, and impact. The appropriate construction methods must be selected based on review safety requirements, which are to be adjusted accordingly depending on highly uncertain and continually changing technological requirements. The evaluation of the construction method should account for various technical characteristics of the method, including changeable safety risk reduction. In most cases, the decision maker’s insufficient knowledge and response to an uncertain and changing environment contribute primarily to the selection of inappropriate construction methods. This paper presents a feedback-based decision-making model that involves systematic safety evaluation and changing environmental risks for selecting the construction method using a technique for order preference by similarity to ideal solution (TOPSIS) model, which is a multicriteria decision-making tool, and extended quality function deployment-failure mode effect analysis (extended QFD-FMEA) simultaneously. Extended QFD-FMEA model presented herein provides an objective and quantitative analysis of risk reduction and mitigation based on the risk assessment and safety cost of construction methods. Risk factors are analyzed comprehensively to minimize safety uncertainties. The proposed decision-making process is based on a changing risk environment, where a tradeoff exists between technological options and safety issues. A case study is conducted to verify the proposed model. Results of risk assessment and possible risk reduction are presented using the extended QFD-FMEA, where two cases of feedback process in decision-making are presented for selecting the most appropriate construction method.
A Human-Machine Interface Based on an EOG and a Gyroscope for Humanoid Robot Control and Its Application to Home Services
Authors: Wang Fan , Li Xiongzi , Pan Jiahui
Published: March 2022

The human-machine interface (HMI) has been studied for robot teleoperation with the aim of empowering people who experience motor disabilities to increase their interaction with the physical environment. The challenge of an HMI for robot control is to rapidly, accurately, and sufficiently produce control commands. In this paper, an asynchronous HMI based on an electrooculogram (EOG) and a gyroscope is proposed using two self-paced and endogenous features, double blink and head rotation. By designing the multilevel graphical user interface (GUI), the user can rotate his head to move the cursor of the GUI and create a double blink to trigger the button in the interface. The proposed HMI is able to supply sufficient commands at the same time with high accuracy (ACC) and low response time (RT). In the trigger task of sixteen healthy subjects, the target was clicked from 20 options with ACC of 99.2% and RT 2.34 s. Furthermore, a continuous strategy that uses motion start and motion stop commands to create a certain robot motion is proposed to control a humanoid robot based on the HMI. It avoids the situation that combines some commands to achieve one motion or converts the certain motion to a command directly. In the home service experiment, all subjects operated a humanoid robot changing the state of a switch, grasping a key, and putting it into a box. The time ratio between HMI control and manual control was 1.22, and the number of commands ratio was 1.18. The results demonstrated that the continuous strategy and proposed HMI can improve performance in humanoid robot control.
Explore the Role of the rs1801133-PPARG Pathway in the H-type Hypertension
Authors: Liang Xiuwen , He Tingting , Gao Lihong , Wei Libo , Rong Di , Zhang Yu , Liu Yu
Published: March 2022

Both rs1801133 mutation on Methylenetetrahydrofolate reductase (MTHFR) gene and transcription factor peroxisome proliferator-activated gamma (PPARG) have been associated with plasma homocysteine (Hcy) levels and hypertension. However, their role in H-type hypertension remains unclear. In this study, we first tested the association between rs1801133 genotypes and Hcy level in H-type hypertension using clinical profiles collected from 203 patients before and after the treatment using enalapril maleate and folic acid tablets (EMFAT). Then, we constructed a literature-based pathway analysis to explore the role of the rs1801133-PPARG signaling pathway in H-type hypertension and its treatment. Although presented similar blood pressure, the patients with TT genotype of rs1801133 were much younger (

p

value <0.05) and significantly higher in Hcy levels (

x

2

=
6.11

and

p
<
0.005

) than that in the CC and CT genotype groups. Pathway analysis showed that T-allele of rs1801133 could inhibit the expression of PPARG through the downregulation of folate levels and upregulation of Hcy levels, which increased the risk of hypertension and hyperhomocysteinemia. Treatment using EMFAT led to similarly decreased Hcy levels for all patients with different genotypes (

x

2

=
86.00

;

p
<
0.36

), which may occur partially through the activation of PPARG. Moreover, even after treatment, the patients with TT genotype still presented significantly higher Hcy levels (

x

2

=
7.87

and

p
<
0.001

). Our results supported that rs1801133 mutation could play a role in H-type hypertension, which might be partially through the downregulation of PPARG. Moreover, PPARG might also be involved in treating H-type hypertension using EMFAT.
Analysis of Fluid Balance as Predictor of Length of Assisted Mechanical Ventilation in Children Admitted to Pediatric Intensive Care Unit (PICU)
Authors: Unki Praveen , Save Sushma
Published: March 2022

Background. Ventilator-associated lung injury (VALI) is a devastating complication of assisted mechanical ventilation (AMV) and is one of the root causes of prolonged AMV. Many strategies were made to decrease the effect of the same. This study is conducted to determine the association of prolonged AMV with fluid balance and pediatric index of mortality 2 (PIM2) score. Methods. This prospective observational study was carried out in a PICU of a tertiary care centre over a period of 12 months. Patient’s fluid balance was calculated by tabulating fluid input-output over initial 48 hours of AMV. The PIM2 score on admission was documented. The association between qualitative variables was assessed by a chi-square test. Comparison of quantitative data measured between cases with duration of

AMV
≥
7
 
days

and <7 days was done using the Mann–Whitney

U

test. Correlation between quantitative data was done by using the Pearson product moment correlation. Results. Out of 40 patients, 27 patients who had ≥15% positive fluid balance required prolonged mechanical ventilation. Similarly, 27 patients with

PIM
2
 
score
≥
5

required prolonged AMV. On applying the Pearson chi-square test, we found a significant association between positive fluid balance and prolonged mechanical ventilation (

P
 
value
=
2.25
×

10

−
7

(<0.05)). Likewise, a statistically significant association was found between PIM2 score and prolonged ventilation (

P
 
value
=
1.19
×

10

−
5

(<0.05)). Conclusion. There is a significant association of prolonged AMV with positive fluid balance (>15%) and PIM2 score (>5). By strict maintenance of fluid balance with appropriate intervention, the length of AMV and PICU stay can be decreased.
Dietary Creatine Reduces Lipid Accumulation by Improving Lipid Catabolism in the Herbivorous Grass Carp, Ctenopharyngodon idella
Authors: Tian Jing-jing , Li Yu-ping , Xia Yun , Zhang Kai , Li Zhi-fei , Gong Wang-bao , Yu Er-meng , Wang Guang-jun , Xie Jun
Published: March 2022

Herein, our goal was to explore the creatine role in the fat suppression of grass carp (GC). In vivo, four semipurified diets containing 5% lipid (normal diet, ND), 8% lipid (high-fat diet, HFD),8%lipid+1%creatine(HFD+CR1), and8%lipid+2%creatine(HFD+CR2) were designed and formulated, which were fed to juvenile GC (18.51±0.04 g) for 56 days. HFD significantly increased the intraperitoneal fat index as well as the serum and hepatic triglyceride (TG), total cholesterol (TC), and nonesterified fatty acid (NEFA) levels compared to ND; these effects were all attenuated following the addition of creatine in HFD (p<0.05). Relative to HFD,HFD+CR2markedly enhanced lipid catabolic gene expressions in the hepatopancreas. This included peroxisome proliferator-activated receptor α, adipose TG lipase (atgl), hormone-sensitive lipase, and carnitine palmitoyltransferase (cpt-1). The protein concentrations of mitochondrial respiratory chain complexes I/II/III/IV/V in the hepatopancreas were upregulated in fish fedHFD+CR1andHFD+CR2diets, relative to the HFD-fed fish diet (p<0.05). In vitro, hepatocytes (L8824) preincubated with oleic acid for 24 h were exposed to varying concentrations of creatine (0, 10, 50, 100, 200, and 400 μM) for another 24 h. The number of lipid droplets in each cell remarkably decreased as the concentration of creatine increased in the medium (p<0.05). Creatine also markedly enhanced the relative transcript levels of genes related to lipolysis (such as agtl), β-oxidation (such as cpt-1 and acyl-CoA dehydrogenase very long chain), and the mitochondrial respiratory chain (such as succinate dehydrogenase complex subunit A and cytochrome c-1). Collectively, the study demonstrates that dietary creatine can suppress lipid accumulation and increase lipid catabolic capacity in GC.
Fusion of the Multisource Datasets for Flood Extent Mapping Based on Ensemble Convolutional Neural Network (CNN) Model
Authors: Seydi Seyd Teymoor , Saeidi Vahideh , Kalantar Bahareh , Ueda Naonori , van Genderen J. L. , Maskouni Fattah Hatami , Aria Farzad Amini
Published: March 2022

Floods, as one of the natural hazards, can affect the environment, damage the infrastructures, and threaten human lives. Due to climate change and anthropogenic activities, floods occur in high frequency all over the world. Therefore, mapping of the flood areas is of prime importance in disaster management. This research presents a novel framework for flood area mapping based on heterogeneous remote sensing (RS) datasets. The proposed framework fuses the synthetic aperture radar (SAR), optical, and altimetry datasets for mapping flood areas, and it is applied in three main steps: (1) preprocessing, (2) deep feature extraction based on multiscale residual kernel convolution and convolution neural network’s (CNN) parameter optimization by fusing the datasets, and (3) flood detection based on the trained model. This research exploits two large-scale area datasets for mapping the flooded areas in Golestan and Khuzestan provinces, Iran. The results show that the proposed methodology has a high performance in flood area detection. The visual and numerical analyses verify the effectiveness and ability of the proposed method to detect the flood areas with an overall accuracy (OA) higher than 98% in both study areas. Finally, the efficiency of the designed architecture was verified by hybrid-CNN and 3D-CNN methods.
Continuance Intention Mechanism of Middle School Student Users on Online Learning Platform Based on Qualitative Comparative Analysis Method
Authors: Chen Guomin , Chen Pengrun , Huang Wenxia , Zhai Jie
Published: March 2022

The research on the users’ continuance intention behavior of online learning platforms is not a new topic. In the past, more studies were conducted on users of MOOC online learning platforms, which are based on symmetric causality. This study adopts the qualitative comparison analysis method to build configuration model by combining platforms, students, parents, teachers (4 level seven elements) with middle school students’ continuance intention. The configuration analysis identifies the user’ retention path of middle school students on online learning platform under the collaborative influence of multi-level elements, summarizes the online learning platform of continuance intention mechanism and implementation path for middle school students and reveals that the users of online learning platform for middle school students keep clear of the mechanism of action and realistic choice. In the end, the user retention mechanism of middle school students’ online learning platform is summarized, including platform quality orientation, platform interaction orientation, and “parent-teacher” dual drive.
Diagnostic Value of Serum Chitinase‐3‐Like Protein 1 for Liver Fibrosis: A Meta‐analysis
Authors: Huang Xiaoting , Zhuang Jialing , Yang Yongqiang , Jian Jiaxin , Ai Wen , Liu Chunyong , Tang Wenzhi , Jiang Changyu , He Yongshen , Huang Lesheng , Peng Se
Published: March 2022

Background. Serum chitinase‐3‐like protein 1 (CHI3L1) is a promising marker for diagnosing liver fibrosis. This meta‐analysis was carried out to assess the diagnostic performance of serum CHI3L1 for the estimation of liver fibrosis. Methods. Systematic searches were performed on PubMed, Embase, Web of Science, Scopus, the Cochrane Library, Google Scholar, Sinomed, the China National Knowledge Infrastructure (CNKI), the Chinese Medical Journal Database, and the Wanfang databases for available studies. The primary studies were screened strictly according to inclusion and exclusion criteria, and sensitivity, specificity, and other measures of accuracy of serum CHI3L1 for evaluating liver fibrosis were pooled with 95% confidence intervals. I2 was calculated to assess heterogeneity, and sources of heterogeneity were explored by subgroup analysis. Deeks’ test was used to assess for publication bias, and likelihood ratio was used to determine posttest probability. Results. Our research integrated 11 articles, accounting for 1897 patients older than 18 years old. The pooled sensitivity and specificity for significant fibrosis, advanced fibrosis, and cirrhosis were 0.79 and 0.82 with an area under the receiver operating characteristic curve (AUC) of 0.85, 0.81 and 0.83 with an AUC of 0.91, and 0.72 and 0.74 with an AUC of 0.85, respectively. Random‐effects models were used to assess for significant heterogeneity, and subgroup analysis showed that age and aetiology of included patients were likely sources of heterogeneity. No potential publication bias was found for serum CHI3L1 in the diagnosis of significant fibrosis, advanced fibrosis, or cirrhosis, and posttest probability was moderate. Conclusion. Measurement of serum CHI3L1 is a feasible diagnostic tool for liver fibrosis.
Quantifying the Elasticity Properties of the Median Nerve during the Upper Limb Neurodynamic Test 1
Authors: Lin Ming , Chen Yaodong , Deng Weixin , Liang Hongying , Yu Suiqing , Zhang Zhijie , Liu Chunlong
Published: March 2022

Background. The upper limb neurodynamic test 1 (ULNT1) consists of a series of movements that are thought to detect an increase in neuromechanical sensitivity. In vivo, no trail was made to quantify the association between the nerve elasticity and different limb postures during ULNT1. Objectives. (1) To investigate the relationship between nerve elasticity and limb postures during ULNT1 and (2) to investigate the intra- and interoperator reliabilities of shear wave elastography (SWE) in quantifying the elasticity of median nerve. Methods. Twenty healthy subjects (mean age:

19.9
±
1.4

years old) participated in this study. The median nerve was imaged during elbow extension in the following postures: (1) with neutral posture, (2) with wrist extension (WE), (3) with contralateral cervical flexion (CCF), and (4) with both WE and CCF. The intra- and interoperator reliabilities measured by two operators at NP and CCF+WE and intraclass correlation coefficients (ICCs) were calculated. Results. The intraoperator (

ICC
=
0.72
–
0.75

) and interoperator (

ICC
=
0.89
–
0.94

) reliabilities for measuring the elasticity of the median nerve ranged from good to excellent. The mean shear modulus of the median nerve increased by 53.68% from NP to WE+CCF. Conclusion. SWE is a reliable tool to quantify the elasticity of the median nerve. There was acute modulation in the elasticity of the median nerve during the ULNT1 when healthy participants reported substantial discomfort. Further studies need to focus on the elasticity properties of the median nerve in patients with peripheral neuropathic pain.
[Retracted] Empirical Research on Seasoned Equity Offerings, Board Member Characteristics, and Corporate Investment Efficiency
Authors: Zhu Dapeng , Li Yongli
Published: March 2022

Seasoned equity offerings (SEO) are an important approach for listed companies to obtain funds after an initial public offering (IPO), which plays a major role in enterprises’ demand for funds. However, due to agency conflicts, information asymmetry, tunneling by major shareholders, and other behaviors, listed companies sometimes fail to make proper use of the refinancing funds. In this study, the impact of SEO on corporate investment efficiency is tested. Furthermore, the impact of board member characteristics on investment efficiency of refinancing companies is tested. Refinancing listed companies in Shenzhen and Shanghai Exchange Stock from 2009 to 2020 form the research samples. The research shows that SEO reduces the corporate investment efficiency. According to the impact analysis of the board member characteristics on the investment efficiency of refinancing companies, age heterogeneity of the board inhibits investment efficiency. The older the mean age of directors, the higher the investment efficiency. Furthermore, sex heterogeneity also inhibits investment efficiency. The more female directors, the lower the investment efficiency. Moreover, overseas backgrounds and experiences of directors also inhibit investment efficiency. These findings not only extend the research on the consequences of SEO in China, but also provide reference points and guidance for listed companies to adopt a scientific and reasonable refinancing method, give full play to the advantages, and overcome disadvantages of board members.
Risk Prediction of Coronary Artery Stenosis in Patients with Coronary Heart Disease Based on Logistic Regression and Artificial Neural Network
Authors: Cheng Xiaobing , Han Weixing , Liang Youfeng , Lin Xianhe , Luo Juanjuan , Zhong Wansheng , Chen Dong
Published: March 2022

Objective. Coronary heart disease (CHD) is considered an inflammatory relative disease. This study is aimed at analyzing the health information of serum interferon in CHD based on logistic regression and artificial neural network (ANN) model. Method. A total of 155 CHD patients diagnosed by coronary angiography in our department from January 2017 to March 2020 were included. All patients were randomly divided into a training set (

n
=
108

) and a test set (

n
=
47

). Logistic regression and ANN models were constructed using the training set data. The predictive factors of coronary artery stenosis were screened, and the predictive effect of the model was evaluated by using the test set data. All the health information of participants was collected. Expressions of serum IFN-γ, MIG, and IP-10 were detected by double antibody sandwich ELISA. Spearman linear correlation analysis determined the relationship between the interferon and degree of stenosis. The logistic regression model was used to evaluate independent risk factors of CHD. Result. The Spearman correlation analysis showed that the degree of stenosis was positively correlated with serum IFN-γ, MIG, and IP-10 levels. The logistic regression analysis and ANN model showed that the MIG and IP-10 were independent predictors of Gensini score: MIG (95% CI: 0.876~0.934,

P
<
0.001

) and IP-10 (95% CI: 1.009~1.039,

P
<
0.001

). There was no statistically significant difference between the logistic regression and the ANN model (

P
>
0.05

). Conclusion. The logistic regression model and ANN model have similar predictive performance for coronary artery stenosis risk factors in patients with CHD. In patients with CHD, the expression levels of IFN-γ, IP-10, and MIG are positively correlated with the degree of stenosis. The IP-10 and MIG are independent risk factors for coronary artery stenosis.
Cloud Application in the Construction of English Virtual Teaching Resources Based on Digital Three-Dimensional Technology
Authors: Zhang Si , Gu Shan , Liu Haiying
Published: March 2022

In order to improve the sharing effect of English teaching resources, based on digital three-dimensional technology, this paper constructs a cloud application in English virtual teaching resource database system based on digital three-dimensional technology. Moreover, this paper uses signal recognition technology to digitally process English teaching resources and establish a dynamic and changeable three-tier indicator system. In addition, this paper collects and summarizes the state data generated in the teaching operation of various departments of teaching management in real time and conducts scientific analysis and processing on it according to the management objectives to obtain valuable data information. Finally, this paper digitally processes English teaching resources into system-recognizable text to realize platform resource sharing.
Impact of Cluster Nursing on Nursing on VAS Score and Urinary Function of Patients after Percutaneous Nephrolithotomy with Pneumatic Lithotripsy (PCNL)
Authors: Li Zhengyuan , Chen Hong , Zhao Shiduo , Yang Gangtian , Yang Wenfan , Guo Jingping
Published: March 2022

Objective. To explore the effects of cluster nursing on VAS score and urinary system function of patients after percutaneous nephrolithotomy with pneumatic lithotripsy (PCNL). Methods. November 2019-January 2019, 114 patients with PCNL who received treatment in our hospital were selected and randomly divided into two groups: the control group and the study group. The study group received cluster nursing, and the control group received routine nursing. Compare the Barthel index (BI), between two groups, SAS score, complications rate, surgical outcomes, pain scores, quality of life scores, knowledge awareness rate, and satisfaction rate were compared. Results. There were no significant variations in Bi and SAS scores before the nursing (

P
>
0.05

). The BI ratings were clearly higher after nursing, whereas the SAS and pain levels were considerably lower, however, the research group altered more dramatically (

P
0.05

). The study group’s incidence of complications was lower (

P
0.05

) than the control group’s; the study group’s hospitalization cost was lower, and the hospitalization and lower bed activity were shorter (

P
0.05

); after the nursing, the organised quality score was significantly higher in both groups, but the research group changed more dramatically (

P
0.05

). Compared with the control group, the knowledge of the research team was higher (

P
<
0.05

); after the nursing, both group satisfaction scores were obviously high, but the study group changes more significantly (

P
<
0.05

). Conclusion. After PCNL treatment, the patient receives cluster therapy, improving the patient’s anxiety, reducing the degree of pain, and improving the quality of life in patients, and the patient satisfaction is high. Therefore, cluster nursing is worthy of extensive application in the postoperative care of patients with PCNL.
Research on Reliability Modelling for Heavy CNC Machine Tools under Uncertain Variables Based on Universal Generating Function
Authors: Sun Honghua , Xu Lipeng , Li Chunwei , Chen Hongxia , Jiang Guangjun , Nie Xiaobo
Published: March 2022

Due to the lack of historical data, the inability to carry out a large number of reliability tests on the machine tool, the lack of reliability information collected, and the change of the working environment of the machine tool, there are a lot of uncertainties in the machine tool. In the existing research, only unilateral uncertainty factors are usually considered, while in practical problems, random uncertainty and cognitive uncertainty exist at the same time. Therefore, in this study, the random uncertainty and cognitive uncertainty in the system are characterized by random variables, fuzzy variables, probability box variables, and interval variables. For the structural function with more variables, the dimension is reduced first, and then the reliability model of the universal generating function (UGF) is established. Taking the heavy CNC machine tool as an example, the structural reliability analysis model of the fatigue strength of the milling shaft based on the UGF is constructed. The local sensitivity analysis and global sensitivity analysis of the variables affecting the fatigue strength of the milling shaft are carried out, and the factors that have the greatest impact on the fatigue strength of the milling shaft are obtained. The case study shows the effectiveness of the method proposed in this study.
lncRNA H19 Promotes Ox-LDL-Induced Dysfunction of Human Aortic Endothelial Cells through the miR-152/VEGFA Axis
Authors: Tang Feng , Zhang Siqi , Wang Honghao , Xu Shijia , Yang Sen , Zhu Xiaohan , Zeng Huan , Yang Yongyao
Published: March 2022

Objective. lncRNA H19 (H19) elevation is related to the risk of coronary artery disease. DIANA-lncBase database analysis suggested that microRNA-152 (miR-152) and H19 have binding sites. Here, the effect and mechanism of H19 and miR-152 in the oxidized low-density lipoprotein (ox-LDL)-induced human aortic endothelial cells (HAECs) were explored. Methods. The expression of H19, miR-152, and vascular endothelial growth factor (VEGF)-A in the HAECs treated with 5 μg/mL ox-LDL was detected by qRT-PCR. MTT, wound-healing assay, and tube formation assay were analyzed to evaluate the angiogenic activity of H19 and miR-152 in the HAECs cells knocked down H19. Dual-luciferase assay was performed to verify the targeting relationship of miR-152 to either H19 or VEGFA, respectively. Western blot was used to detect the expression of epithelial-mesenchymal transition (EMT)-related proteins (E-cadherin and vimentin) and VEGFA protein in the cells. Results. After ox-LDL treatment, the expression of H19 and VEGFA was significantly increased, miR-152 expression was remarkably decreased. H19 was mainly expressed in the cytoplasm of HAECs. Knocking down H19 or overexpression of miR-152 significantly inhibited the cellular proliferation, migration, tube formation, and EMT trend of the HAECs. On the contrary, miR-152 interference reversed H19 silencing-mediated effects in the ox-LDL-induced HAECs. The dual-luciferase assay showed that miR-152 had a targeting relationship with H19 and VEGFA. MiR-152 was negatively corrected with the VEGFA expression. Conclusion. Ox-LDL negatively regulates miR-152 via H19, promotes the expression of VEGFA, and induces the dysfunction of HAECs.
Clinical Factors Predicting Voluntary Driving Cessation among Patients with Parkinson’s Disease
Authors: Yamada Hidetada , Nakamori Masahiro , Nezu Tomohisa , Kotozaki Teppei , Kitamura Juri , Ohshita Tomohiko , Sueda Yoshimasa , Maruyama Hirofumi
Published: March 2022

Factors that influence the decision of voluntary driving cessation in patients living with Parkinson’s disease (PD) are still unclear. We aimed to reveal the factors affecting the decision of voluntary driving cessation in patients with PD. This hospital-based cross-sectional study recruited consecutive outpatients with PD. Data on sociodemographic and clinical characteristics and medication use were collected from the patients using semistructured interviews. Cognitive function was evaluated using the Japanese version of the Montreal Cognitive Assessment (MoCA-J). We excluded patients with dementia or motor impairment (

Hoehn
−
Yahr
 
stage
>
3

). We divided the patients into two groups, with and without voluntary driving cessation (D: driver; RD: retired driver), and conducted investigations using multivariate logistic regression analyses. Of the 40 patients, 8 (20.0%) voluntarily retired from driving. Patients who decided on driving cessation had a higher prevalence of freezing of gait (FOG) (D vs. RD, 25.0% vs. 87.5%;

P
=
0.001

) and tended to have lower scores for attention in the MoCA-J (D vs. RD,

5.0
±
1.2

vs.

4.1
±
1.4

;

P
=
0.086

). Multivariable analysis showed that FOG was independently associated with driving cessation (odds ratio: 14.46, 95% confidence interval: 1.91–303.74). FOG was associated with voluntary driving cessation in patients with PD without dementia or severe motor impairment. Physicians should consider providing extensive social support to maintain patients’ mobility and independence, especially if the patients have these clinical factors.
Panax quinquefolius Polysaccharides Ameliorate Antibiotic-Associated Diarrhoea Induced by Lincomycin Hydrochloride in Rats via the MAPK Signaling Pathways
Authors: Ren Duo-duo , Li Shan-shan , Lin Hong-mei , Xia Yun-shi , Li Zhi-man , Bo Pan-pan , Mu Rui , Zhao Li-juan , Sun Yin-shi
Published: March 2022

American ginseng (Panax quinquefolius L.) is an herbal medicine with polysaccharides as its important active ingredient. The purpose of this research was to identify the effects of the polysaccharides of P. quinquefolius (WQP) on rats with antibiotic-associated diarrhoea (AAD) induced by lincomycin hydrochloride. WQP was primarily composed of galacturonic acid, glucose, galactose, and arabinose. The yield, total sugar content, uronic acid content, and protein content were 6.71%, 85.2%, 31.9%, and 2.1%, respectively. WQP reduced the infiltration of inflammatory cells into the ileum and colon, reduced the IL-1β, IL-6, IL-17A, and TNF-α levels, increased the levels of IL-4 and IL-10 in colon tissues, improved the production of acetate and propionate, regulated the gut microbiota diversity and composition, improved the relative richness of Lactobacillus and Bacteroides, and reduced the relative richness of Blautia and Coprococcus. The results indicated that WQP can enhance the recovery of the intestinal structure in rats, reduce inflammatory cytokine levels, improve short-chain fatty acid (SCFA) levels, promote recovery of the gut microbiota and intestinal mucosal barrier, and alleviate antibiotic-related side effects such as diarrhoea and microbiota dysbiosis caused by lincomycin hydrochloride. We found that WQP can protect the intestinal barrier by increasing Occludin and Claudin-1 expression. In addition, WQP inhibited the MAPK inflammatory signaling pathway to improve the inflammatory status. This study provides a foundation for the treatment of natural polysaccharides to reduce antibiotic-related side effects.
Pleural Fluid Soluble Interleukin-2 Receptor as a Biomarker for the Diagnosis of Tuberculosis Pleural Effusion: A Systematic Review and Meta-Analysis
Authors: Yan Zhi , Wang Hua , Zheng Wen-Qi , Hu Zhi-De
Published: March 2022

Background. Several studies have assessed the diagnostic accuracy of pleural fluid soluble interleukin-2 receptor (sIL-2R) for tuberculous pleural effusion (TPE) but with varied results. Therefore, we conducted this systematic review and meta-analysis to evaluate the accuracy of sIL-2R for TPE. Methods. PubMed, Ovid, and Web of Science databases were searched from inception to 23 March 2021 to identify eligible studies concerning the diagnostic accuracy of fluid sIL-2R for TPE. The sensitivity and specificity of sIL-2R for TPE were pooled with a bivariate model. We estimated the global diagnostic accuracy of PE sIL-2R with a summary receiver operating characteristic (sROC) curve. The revised Quality Assessment for Diagnostic Accuracy Studies tool (QUADAS-2) was used to assess the quality of eligible studies. Results. A total of nine studies with 270 TPEs and 586 non-TPEs were included in the final analysis. The pooled sensitivity and specificity were 0.81 (95% CI: 0.76–0.86) and 0.92 (95% CI: 0.77–0.98), respectively. The area under the sROC curve (AUC) was 0.82 (95% CI: 0.79–0.86). No significant publication bias was observed. Conclusions. Pleural fluid sIL-2R is a useful diagnostic marker for TPE. However, the diagnostic accuracies of already available biomarkers such as pleural fluid adenosine deaminase, interferon-γ, and interleukin-27 appear to be superior relative to sIL-2R. Therefore, it might not be preferable to use sIL-2R for diagnosing TPE.
Prevalence, Comorbidities, and Risk Factors of Erectile Dysfunction: Results from a Prospective Real-World Study in the United Kingdom
Authors: Li Jim Z. , Maguire Terence A. , Zou Kelly H. , Lee Lauren J. , Donde Shaantanu S. , Taylor David G.
Published: March 2022

Objectives. Assessment of erectile dysfunction (ED) burden could improve health outcomes associated with underlying cardiometabolic and psychological causes of ED. This study provided updated real-world evidence (RWE) on ED epidemiology and quantified healthcare resource utilization (HCRU) and health-related quality of life (HRQoL) burden among men with ED in the UK. Methods. This cross-sectional, prospective real-world evidence study was conducted via a self-reported Internet survey in 2018 in the UK general population. Prevalence of ED was estimated; HCRU and HRQoL were compared between men with ED versus without ED via bivariate analysis. Results. Of 12,490 men included, 41.5% reported ED; 7.5% of men reported severe ED; ED was most prevalent in Wales (44.3%). Men with ED were older (54.1 ± 14.5 vs. 46.8 ± 14.1 years) and often reported modifiable lifestyle risk factors, including smoking (32.8% vs. 26.3%), drinking alcohol (76.1% vs. 71.0%), not exercising (21.7% vs. 19.4%), and being overweight or obese (64.9% vs. 54.6%). Additionally, men with ED more often reported ≥1 comorbid chronic conditions (73.7% vs. 47.7%), including hypertension (31.8% vs. 16.3%), hyperlipidemia (27.6% vs. 14.0%), depression (24.3% vs. 14.6%), anxiety (23.3% vs. 16.6%), and diabetes (15.9% vs. 6.1%) versus men without ED (all,p < 0.001). Nearly half of men with ED (45.3%) were not undergoing treatment for cardiometabolic or psychological comorbidities. Furthermore, men with ED more often reported ≥1 visit to physicians/nurse practitioners and pharmacists in the past year and had significantly lower SEAR total and domain scores than men without ED (all,p < 0.001). Conclusion. ED was highly prevalent in the UK affecting over a quarter of younger men. Cardiometabolic and psychological conditions were common among men with ED and often remained untreated. Higher proportions of modifiable lifestyle risk factors observed among men with ED present an opportunity for healthcare providers to help mitigate the risk of cardiometabolic diseases and incidence of ED.
Relationship between Professional Training of Dentists and Outpatient Clinical Production
Authors: Bueno André Scolare , Celeste Roger Keller
Published: March 2022

Background. The aim was to evaluate the association between the professional training of dentists and their outpatient production (OP) of clinical and collective/preventive procedures and the total number of procedures registered in a health information system. Methods. It included all 19,947 primary dental care units participating in the Program for Improvement of Access and Quality of Primary Care (PMAQ‐AB 2nd cycle) and the number of clinical procedures (CP), collective/preventive procedures (PP), and total procedures (TP) registered in the ambulatory information system between November 2013 and July 2014 for each participant oral health team. The outcome was being above the national median of procedures. The main variables related to training were the dentists specialising in family health, the level of training, and participation in permanent education. Effect estimates were calculated by multiple logistic regression. Results. In the final model, controlled by contextual factor work process, family health specialists had higher chances (odds ratio (OR) = 1.13, 95% CI: 1.00; 1.27) of producing above the national median of CP than nonspecialists, OR = 1.06 (0.96; 1.18) for PP and OR = 1.17 (1.08; 1.27) for TP. Dentists taking permanent education had higher chances than those not taking it of producing above the national median for CP, PP, and TT, respectively, with OR = 1.40 (1.20; 1.62), OR = 1.24 (1.09; 1.40), and OR = 1.28 (1.18; 1.39). Conclusion. Training in family health performs more procedures in primary care settings than those without training. However, this OP is influenced by variables related to the municipality and the work process, especially for PP. If the highest production observed is a consequence of training, then public health managers can not only encourage training policies such as permanent education policies to expand the use of services.