bluuebunny/crossref_metadata_2025 huggingface dataset:
THE EXCHANGE RATE SYSTEM REFORM IN CHINA: SOME IMPORTANT RESULTS
Authors: YIP PAUL S. L. , TSE YIU-KUEN , DONG YINGJIE
Published: July 2022

We provide a review and empirical study on the exchange rate system reform in China. In the initial stage of the reform the Chinese central bank PBoC’s implicit promise of gradual appreciation helped to contain the appreciation rate and volatility of the renminbi. Subsequently, under US pressure for faster appreciation and hence the PBoC’s moderate violation of the implicit promise, there was a significant rise in the appreciation rate and the volatility of the renminbi. The moderate violation deteriorated further, forming a vicious cycle of speculative flows and faster exchange rate changes. Upon the onset of the global financial crisis in 2008, the threatening appreciation and volatility alleviated when the PBoC returned to the implicit stance of gradual appreciation or stable renminbi. We found that in the first ten years of the reform the PBoC did not shift its monitoring target from the RMB–USD rate to the nominal effective exchange rate. This may be one of the underlying causes of the renminbi crisis in 2015.
Preheating constraints in α-attractor inflation and gravitational waves production
Authors: El Bourakadi K. , Sakhi Z. , Bennai M.
Published: July 2022

We propose a scenario where preheating occurs for a specific duration that is parametrized by an [Formula: see text]-folds number [Formula: see text], our results suggest a direct correlation between the preheating duration and the density of gravitational waves (GWs) produced during this phase. Moreover, we investigate the consequences of the inflationary parameters on the [Formula: see text]-attractor [Formula: see text] model in the small [Formula: see text] limits. In this framework, we perform investigations on the preheating parameters involving the number of [Formula: see text]-folds [Formula: see text], and the temperature of reheating [Formula: see text], then we show that the parameter [Formula: see text] associated with the [Formula: see text] model of [Formula: see text]-attractor inflation has a negligible effect on the preheating duration, and we demonstrate that gravitational wave generation during preheating satisfies the restrictions from Planck’s recent data.
Categorifying biquandle brackets
Authors: Vengal Adu , Winstein Vilas
Published: July 2022

The Biquandle Bracket is a generalization of the Jones Polynomial. In this paper, we outline a Khovanov Homology-style construction which generalizes Khovanov Homology and attempts to categorify the Biquandle Bracket. The Biquandle Bracket is not always recoverable from our construction, so this is not a true categorification. However, this deficiency leads to a new invariant: a canonical biquandle 2-cocycle associated to a biquandle bracket.
The New Horizon of Banking
Authors: Lyu Joseph Jye-Cherng
Published: July 2022

Based on my more than 40 years of practical experience in banking and my forward-looking vision as a banker, I would share the five major development trends of banks with the distinguished guests under the theme of “The New Horizon of Banking”, including: (1) ESG as an essential embodiment of contemporary responsible finance; (2) the digital transformation of the banking industry as a long-term evolutionary process; (3) the evolution of payment models and the new state of money; (4) cross-industry alliances between the banking and nonbanking industries; and (5) the increasing importance of regulatory technology, RegTech.
Nearring of ore extensions: Zero-divisors and regular elements
Authors: Shokuhifar F. , Hashemi E. , Alhevaz A.
Published: July 2022

Let [Formula: see text] be a symmetric and [Formula: see text]-compatible ring. In this paper, we first specify the zero-divisor elements of the near-ring [Formula: see text]. We prove that if [Formula: see text] is an [Formula: see text]-rigid ring, then the set of all zero-divisor elements of the near-ring [Formula: see text] forms an ideal of [Formula: see text] if and only if [Formula: see text] is an ideal of [Formula: see text] and [Formula: see text] has the right Property [Formula: see text]. Also, we are interested in studying the zero-divisor graph of [Formula: see text] which is denoted by [Formula: see text]. It is shown that [Formula: see text], and if [Formula: see text] is not reduced, then [Formula: see text] for each [Formula: see text] if and only if [Formula: see text]. Moreover, we characterize the units, the clean elements, the regular elements, the nilpotent elements and also the [Formula: see text]-regular elements of the near-ring [Formula: see text], where [Formula: see text] is a reversible and [Formula: see text]-compatible ring and [Formula: see text] is a countable locally nilpotent ideal of [Formula: see text]. Finally, we prove that the set of all [Formula: see text]-regular elements of [Formula: see text] forms a semigroup, where [Formula: see text] is a reversible and [Formula: see text]-compatible ring and [Formula: see text] is a countable locally nilpotent ideal of [Formula: see text].
Polynomial functions over dual numbers of several variables
Authors: Abdulkader Al-Maktry Amr Ali
Published: July 2022

Let [Formula: see text] be a positive integer. For a commutative ring [Formula: see text], the ring of dual numbers of [Formula: see text] variables over [Formula: see text] is the quotient ring [Formula: see text], where [Formula: see text] is the ideal generated by the set [Formula: see text]. This ring can be viewed as [Formula: see text] with [Formula: see text], where [Formula: see text] for [Formula: see text]. We investigate the polynomial functions of [Formula: see text] whenever [Formula: see text] is a finite commutative ring. We derive counting formulas for the number of polynomial functions and polynomial permutations on [Formula: see text] depending on the order of the pointwise stabilizer of the subring of constants [Formula: see text] in the group of polynomial permutations of [Formula: see text]. Further, we show that the stabilizer group of [Formula: see text] is independent of the number of variables [Formula: see text]. Moreover, we prove that a function [Formula: see text] on [Formula: see text] is a polynomial function if and only if a system of linear equations on [Formula: see text] that depends on [Formula: see text] has a solution.
The complement of the intersection graph of ideals of a poset
Authors: Khojasteh Soheila
Published: July 2022

Let [Formula: see text] be an atomic poset with the least element [Formula: see text]. The complement of the intersection graph of ideals of [Formula: see text], denoted by [Formula: see text], is defined to be a graph whose vertices are all non-trivial ideals of [Formula: see text] and two distinct vertices [Formula: see text] and [Formula: see text] are adjacent if and only if [Formula: see text]. In this paper, we consider the complement of the intersection graph of ideals of a poset. We prove that [Formula: see text] is totally disconnected or [Formula: see text], where [Formula: see text] is the set of all isolated vertices of [Formula: see text]. We show that [Formula: see text]. Also, we characterize all posets whose complement of the intersection graph is forest, unicyclic or complete [Formula: see text]-partite graph. Among other results, we prove that [Formula: see text] is weakly perfect; and it is perfect if and only if [Formula: see text]. Finally, we show that [Formula: see text] is class [Formula: see text], where [Formula: see text].
Transcriptomic meta-analysis reveals biomarker pairs and key pathways in Tetralogy of Fallot
Authors: Charles Sona , Sreekumar J , Natarajan Jeyakumar
Published: July 2022

Tetralogy of Fallot (TOF) is a cyanotic congenital condition contributed by genetic, epigenetic as well as environmental factors. We applied sparse machine learning algorithms to RNAseq and sRNAseq data to select the prospective biomarker candidates. Furthermore, we applied filtering techniques to identify a subset of biomarker pairs in TOF. Differential expression analysis disclosed 2757 genes and 214 miRNAs, which are dysregulated. Weighted gene co-expression network analysis on the differentially expressed genes extracted five significant modules that are enriched in GO terms, extracellular matrix, signaling and calcium ion binding. Also, voomNSC selected two genes and five miRNAs and transformed PLDA-predicted 72 genes and 38 miRNAs as prognostic biomarkers. Out of the selected biomarkers, miRNA target analysis revealed 14 miRNA–gene interactions. Also, 10 out of 14 pairs were oppositely expressed and four out of 10 oppositely expressed biomarker pairs shared common pathways of focal adhesion and P13K–Akt signaling. In conclusion, our study demonstrated the concept of biomarker pairs, which may be considered for clinical validation due to the high literature as well as experimental support.
Effect of Horndeski theory on weak deflection angle using the Gauss–Bonnet theorem
Authors: Övgün Ali , Kumaran Yashmitha , Javed Wajiha , Abbas Jameela
Published: July 2022

The main goal of this paper is to study the weak gravitational lensing by Horndeski black hole in weak field approximation. In order to do so, we exploit the Gibbons–Werner method to the optical geometry of Horndeski black hole and implement the Gauss–Bonnet theorem to accomplish the deflection angle of light in weak field region. Furthermore, we have endeavored to extend the scale of our work by comprising the impact of plasma medium on the deflection angle as properly. Later, the graphical influence of the deflection angle of photon on Horndeski black hole in plasma and nonplasma medium is examined.
Novel hybrid solitary waves and shrunken-periodic solutions, solitary Moiré pattern and conserved vectors of the (4 + 1)-Fokas equation
Authors: Benoudina Nardjess , Zhang Yi , Khalique Chaudry Masood , Bessaad Nassim
Published: July 2022

In this paper, we present a comprehensive study on the [Formula: see text]-Fokas equation that includes new solutions and conservation laws of the equation. Specifically, for the first time, new shrunken-periodic and fascinating interactions on the bright soliton background have been investigated. Furthermore, a bright, dark, dipole soliton, tripole soliton, multipole soliton, periodic, doubly-periodic, damped-periodic, kink, lump, rogue wave, breather and their interactions have been attained and graphically illustrated. In addition, a significant interaction between four parabolic-periodic solitary waves is first detected and emphasized by harnessing 3D and contour plots. On the other hand, the latter has been compared to an experimentally-induced Moiré effect from a monitor screen camera capture. These outstanding results are achieved using the Lie symmetry approach. The multiple reduction process of the [Formula: see text]-Fokas equation through the Lie algebra spanned elements, and the corresponding optimal system guarantees 23 solutions in general forms. To determine the physical meaning of the latter, an appropriate ansatz for the arbitrary functions and parameters has been proposed and listed in the corresponding tables, which leads to the various types of solitary wave solutions. Finally, the conserved vectors for the underlying equation are derived using the multiplier method.
Periodic and breather solutions for miscellaneous soliton in metamaterials model by computational schemes
Authors: Mohyaldeen Sherin Youns , Manafian Jalil , Ilhan Onur Alp , Abotaleb Mostafa , Hajar Afandiyeva
Published: July 2022

In this paper, the novel exact solitary wave solutions for the generalized nonlinear Schrödinger equation with parabolic nonlinear (NL) law employing the improved [Formula: see text] function scheme and the combined [Formula: see text] function scheme are found. Diverse collections of hyperbolic and trigonometric function solutions acquired rely on a map between the considered equation and an auxiliary ODE. Received solutions are recast in several hyperbolic, rational and trigonometric forms based on different restrictions between parameters involved in equations and integration constants that appear in the solution. A few significant ones among the reported solutions are pictured to perceive the physical utility and peculiarity of the considered model utilizing mathematical software. The main subject of this work is that one can visualize and update the knowledge to overcome the most common techniques and defeat to solve the ODEs and PDEs. We demonstrated that these solutions validated the program using Maple and found them correct. The proposed methodology for solving the metamaterials model has been designed to be effectual, unpretentious, expedient and manageable. Applications of the solutions by the mentioned techniques will be useful to investigate the signals properties of optical fibers, plasma physics phenomena, electromagnetic fields occurrences and various types of nonlinear metamaterials models.
Alperin weight conjecture and related developments
Authors: Feng Zhicheng , Zhang Jiping
Published: July 2022

The Alperin weight conjecture is central to the modern representation theory of finite groups, and it is still open, despite many different approaches from different points of view. This paper surveys methods and results relating the Alperin weight conjecture, especially the recent developments in the inductive investigation.
ECS’s Five Communication Pillars
Authors: Chaves Frances
Published: July 2022

“As ECS emerged from the global pandemic stronger than ever, with new publications and expanding awareness of the importance of our fields, it became clear that we needed a bold new marketing statement.”
Application of 3D Virtual Reality Sensor in Tourist Scenic Navigation System
Authors: Deng Fei
Published: July 2022

In order to solve the application of 3D virtual reality technology in the practical development of scenic spot navigation system, this paper proposes a scenic spot navigation system based on multimedia technology and component geographic information system (ComGIS). The system takes Visual Basic 6.0, MapObjectst2.4, and GeoLOD 4.0 as the development platform and develops the tourism navigation system based on component GIS and multimedia technology, which manages nonspatial data with access 2003. The results are as follows: the path length designed by the system in this paper and the three compared navigation apps is 1.56 km, respectively. Although the path designed in this paper is not the shortest, the number of scenic spots passed by this path is up to 6; The accuracy of the navigation system designed in this paper is 97.2%, about 5% higher than that of similar navigation APPs; 55.2% of users felt that the navigation system designed in this paper was excellent. The results show that the system can basically meet the needs of tourists, hoping to promote the information construction of tourism.
Blockchain Technology in the Management of Scientific and Technological Achievement Transformation in Chinese Universities
Authors: Wang Yu , Ni Qing-Ting
Published: July 2022

The article uses blockchain technology to design and develop a blockchain-based management system for the transformation of scientific and technological achievements in universities, which solves the problems of difficulty in promoting information of scientific and technological achievements, low trust of both parties in the process of transformation, and lack of corresponding service platform. It solves the problems such as low trust between the two parties and lack of a corresponding service platform. The main research work of the article is as follows: first, it conducts demand analysis, proposes the overall architecture of the system, and designs the scientific research results management module. The system is divided into two parts, namely, user information management module and result information management module. Second, the data protection module is designed. A trust-optimised consensus algorithm C-DPOS is introduced to provide basic technical support for the operation of the blockchain-based university science and technology results trading and knowledge sharing system, thereby reducing the probability of malicious nodes committing mischief in the blockchain network environment during the operation of knowledge sharing, and comparing the probability of malicious and normal nodes participating in consensus. Third, system implementation and testing. By comparing the difference in consensus latency between DPoS and the improved C-DPoS, it is concluded that C-DPoS has a greater operational speed advantage over DPoS. The implementation of the C-DPoS consensus algorithm can further ensure that blockchain-based result trading and knowledge sharing can operate stably. According to the Law on Promoting the Transformation of Scientific and Technological Achievements (2015 revised version), the transformation of scientific and technological achievements of universities refers to the activities of subsequent testing, development, application, and promotion of scientific and technological achievements until the formation of new technologies, new processes, new materials, and new products and the development of new industries to improve the productivity level. Through the development of the transformation management system of scientific and technological achievements, the research data can be summarised in real time and comprehensively, and the blockchain can be used to achieve data protection, which has the characteristics of comprehensive management functions and strong security and effectively improves the efficiency and information security of the transformation of scientific and technological achievements.
Research on Enterprise HRM Effectiveness Evaluation Index System Based on Decision Tree Algorithm
Authors: Chen Junguo , Chen Shasha , Wang Wanli
Published: July 2022

In order to explore the application analysis of the decision tree algorithm in enterprise HRM effectiveness evaluation, we discuss data mining, decision tree algorithm, and decision tree model construction. In view of the continuous growth of big data information in the information age, we use the mean clustering algorithm, expert system algorithm, and decision tree algorithm to verify the accuracy and time efficiency of enterprise HRM effectiveness. Finally, it is considered that the application of the decision tree algorithm of data mining not only is in line with the enterprise HRM efficiency evaluation but also can promote the integration and effective allocation of human resources and transform the generated decision tree algorithm into classification rules, which has been widely studied and applied, and finally has important strategic significance for the development of enterprises.
Computed Tomography Three-Dimensional Reconstruction Algorithm in the Diagnosis of Periodontitis and Its Correlation with Hypertension
Authors: Xu Lingling , Pan Jiaxin , Liu Jue , Guan Zhong , Zhao Lu
Published: July 2022

This study was aimed at exploring the value of iterative reconstruction (IR) algorithm to treat the periodontitis using computed tomography (CT) image and analyze the relationship between periodontitis and hypertension. 95 patients with periodontitis were selected, including 43 patients with periodontitis, 41 patients with advanced periodontitis and hypertension, and 11 patients with periodontitis and nonhigh blood pressure (NBP). The IR algorithm was introduced to the CT image scanning of them to reduce the noise. In addition, the CT value was statistically analyzed. High-sensitivity C-reactive protein (hs-CRP) and interleukin 6 (IL-6) were dramatically increased compared with periodontitis patients with NBP and with hypertension (

P
<
0.05

). After the IR algorithm of the image, the quality, information, and mean square error (MSE) of the image were all effectively improved. Image with a 50% dose showed the lowest noise, but the reconstruction algorithm improved the low-contrast resolution. Moderate and severe periodontitis was independently related to hypertension. Inflammatory cytokines were independently related to hypertension of periodontitis patients (

P
<
0.05

). Therefore, it was concluded that the IR algorithm could effectively improve the spatial resolution of the CT image when it was adopted to treat periodontitis and showed a high accuracy rate; the incidence of hypertension in patients with periodontitis was relatively high, and it had a certain relationship with periodontitis; and inflammatory cytokines were related to periodontitis and hypertension of patients.
Structure Damage Identification Based on Information Entropy and Bayesian Fusion
Authors: Xiang Chang-Sheng , Liu Hai-Long , Liu Chen-Yu , Zhou Yu , Wang Li-Xian
Published: July 2022

When processing signals, information entropy theory and data fusion theory have their own advantages. The former can improve the sensitivity of signals, while the latter can superimpose multisource information to correct system deviations and obtain the best identification results. Therefore, we introduce two theories into structural damage identification to improve the reliability of damage identification. First, based on the modal strain energy damage identification index, combined with information entropy and data fusion theory, a fusion entropy index (FE) and an entropy weight fusion index (EWF) are constructed. Then, the simply supported beam and truss structure model are established for damage simulation, which verified that the FE index and EWF index can accurately locate the damage. The polynomial fitting method is used to identify the damage degree of the structure, and the identification results obtained are more accurate. Finally, a simple-supported steel beam model is established in the laboratory for verification and analysis. The results show that the proposed FE index and EWF index have high damage sensitivity, noise resistance, and robustness, and relatively speaking, EWF index damage recognition ability is better. The method proposed in this paper provides an empirical method for practical engineering application.
Application of Wireless Sensor Network Technology in Multipoint Control in Music Performance Management System
Authors: Zhao Jing
Published: July 2022

Keeping in view the overwhelming characteristics of the wireless sensor networks, these networks are constantly being utilized in numerous domains such as industry, healthcare, and music. Aiming at the problem that there is a single-point and multipoint control in the music performance management system, this paper adopts the wireless sensor network multipoint control technology to realize the control of the music performance management system. The system uses TI’s CC2430 chip to design the hardware circuit, uses the TinyOS operating system as the software platform of the system, and designs the components of the base station and sensor nodes to achieve data acquisition and transceiver functions. The experimental test shows that the system can realize the multipoint control of the music performance system and has good performance.
The Reform of Basketball Curriculum Model for Students’ Physical Development under the National Fitness Environment
Authors: Li Hui-chao , Shen Shun-fa
Published: July 2022

College sports serving national fitness are a complex system. College sports are an important part of national fitness. Basketball curriculum, as a subsystem of college sports, has always been loved by college students. The reform of college basketball curriculum mode is an important way to explore the coordinated evolution of college sports subsystem. Through the methods of questionnaire, interview, and mathematical statistics, aiming at the problems existing in the planning and design of basketball curriculum objectives and contents in colleges and universities, this study puts forward that it is necessary to establish a scientific and reasonable basketball special curriculum objective system and then combine the basketball curriculum teaching theory with the basketball training teaching mode, to cultivate students’ practical application ability, and adopt a variety of teaching methods to cultivate students’ practical ability. Finally, the teaching mode of basketball is improved. Through an example, the application effect of the basketball curriculum model under the background of national fitness proposed in this study is tested. The results show that the basketball curriculum teaching model proposed in this study has certain feasibility and effectiveness.
Subretinal Drusenoid Deposits and Lower Serum High-Density Lipoprotein Cholesterol Levels Possess Latent Relation to Cardiovascular Disease and Can Be a Feasible Predictor
Authors: Liang Changsen , Wang Ning
Published: July 2022

Objective. To ascertain whether lipid-related subretinal drusenoid deposits (SDD) are correlated with coexisting cardiovascular disease (CVD), as well as to reveal latent serum markers of CVD. Methods. Patients older than 50 years and plagued by age-related macular degeneration (AMD) were included. Subjects with other retinal degenerations and vascular diseases, any recent treatment at other medical care institutions, and any previous oculopathy or ophthalmic surgery were excluded. All subjects were examined to ascertain whether they possess SDD, to analyze serum cholesterols, including low-density lipoprotein cholesterol (LDL), triglycerides (TG), high-density lipoprotein cholesterol (HDL), and total cholesterol (TC). Subjects were divided into SDD and non-SDD groups and further divided into subgroups by assessment of pump defect, valve defect, and carotid defect. Finally, logistic model trees and random forest algorithm analysis were performed. Results. A total of 85 AMD patients including 43 with and 42 without SDD were involved. The 42 AMD (97.67%, 42/43) patients with SDD showed CVD, including 3 subjects presenting valve defect, 3 subjects presenting carotid defect, 8 subjects presenting pump defect, 14 subjects presenting both pump and valve defects, and 14 subjects presenting pump, valve, and carotid defects. By contrast, 5 AMD (11.90%, 5/42) patients without SDD showed CVD. Cholesterol level of SDD subjects presented significant higher TC (

5.66
±
1.01

vs.

5.58
±
0.72

,

p
=
0.032

, Wilcoxon test) and lower HDL cholesterol (

61
±
17

vs.

70
±
21

,

p
=
0.031

, Wilcoxon test) than that of non-SDD. The cases with

HDL
<
62
 
mg
/
dL

were significantly related to CVD (

p
=
0.013

, Wilcoxon test), and the cases with

HDL
<
40
 
mg
/
dL

were not (

p
=
0.659

, Wilcoxon test). Through machine learning based on the image from color fundus photography, the accuracy of predicting CVD was 95%. Conclusions. The presence of SDD of AMD and lower serum HDL cholesterol level can predict certain CVD for AMD patients. The machine learning based on the SDD image and serum HDL cholesterol may open new avenue for the detection of CVD as a noninvasive approach.
[Retracted] N‐myc Downstream‐Regulated Gene 1 (NDRG1) Regulates Vascular Endothelial Growth Factor A (VEGFA) and Malignancies in Glioblastoma Multiforme (GBM)
Authors: Zhang Xufan , Chen Qian , Li Yuchen , Chen Hongqing , Jiang Qin , Hu Qiongying
Published: July 2022

Background. NDRG1 has been reported to exhibit relatively low expression levels in glioma tissues compared with adjacent brain tissues. Additionally, NDRG1 is reported to be a tumor suppressor with the potential to suppress the proliferation, invasion, and migration of cancer cells. However, its exact roles in GBM are still unknown. Methods. Gene Expression Profiling Interactive Analysis (GEPIA) was employed to evaluate the expression level of NDRG1 in GBM. After the introduction of NDRG1, proliferation, analyses of colony formation, migration, and invasion capacities were performed. A luciferase reporter assay was performed to detect the effect of NDRG1 on the vascular endothelial growth factor A (VEGFA) promoter. Results. In this study, data from GBM and healthy individuals were retrospectively collected by employing GBM, and VEGFA was found to be differentially expressed in GBM tissues compared with adjacent brain tissues. Furthermore, NDRG1 expression is positively correlated with VEGFA expression, but not expression of the other two VEGF isoforms, VEGFB and VEGFC. In the glioma cell lines U87MG and U118, overexpression of NDRG1 significantly upregulated VEGFA. By performing a dual‐luciferase reporter assay, it was observed that overexpressed NDRG1 transcriptionally activated VEGFA. Expectedly, overexpression of NDRG1 decreased cell viability by blocking cell cycle phases at G1 phase. Additionally, overexpression of NDRG1 inhibited invasion, colony formation, and tumor formation in soft agar. Remarkably, VEGFA silencing or blockade of VEGF receptor 2 (VEGFR2) further inhibited malignant behaviors in soft agar, including proliferation, invasion, colony formation, and tumor formation. Conclusions. NDRG1‐induced VEGFA exerts protective effects in GBM via the VEGFA/VEGFR2 pathway. Therefore, targeting both NDRG1 and VEGFA may represent a novel therapy for the treatment of GBM.
Biomarkers of Metabolomics in Inflammatory Bowel Disease and Damp-Heat Syndrome: A Preliminary Study
Authors: Wu Xingxing , Liu Kexin , Wu Qi , Wang Mao , Chen Xuelian , Li Yuge , Qian Lin , Li Changyin , Dai Guoliang , Zhang Qide , Mu Genglin , Wu Jing , Shan Zhaowei
Published: July 2022

Aims. This study aims to investigate the potential biomarkers of inflammatory bowel disease (IBD) and IBD with damp-heat syndrome (IBD-DH) by metabolomics. Methods. Plasma and urine samples were collected from 15 healthy controls and 30 IBD patients, including 15 IBD-DH and 15 IBD with spleen deficiency syndrome (IBD-SD), which was coded as SF8G and SF70 according to the International Classification of Diseases Eleventh Revision (ICD-11) issued by World Health Organization. Pseudotargeted metabolomics method was used based on ultra-high-performance liquid chromatography-high-resolution mass spectrometry and triple-quadrupole mass spectrometry. Results. Under the condition of false discovery rate (FDR) < 0.05, variable importance projection (VIP) > 1.0, and fold change (FC) > 1.5 or < 2/3, we found 57 plasma differential metabolites and 20 urinary differential metabolites in IBD. Then, with area under the curve (AUC) ≥ 0.85 and FC ≥ 2 or ≤ 0.3, 11 potential biomarkers were identified, such as acylcarnitine (ACar 20:4, ACar 18:1, and ACar 20:3), 3-indoleacetic acid, hippuric acid, and dehydroepiandrosterone sulfate, which is related to intestinal microbiota and immune response. However, less obvious differences were observed in IBD-DH when compared with IBD-SD. Under the condition of FDR < 0.2, VIP >1.0, and FC > 1.5 or < 2/3, we identified 16 plasma differential metabolites. In urine samples, IBD-DH and IBD-SD had the same metabolite pattern. With AUC ≥ 0.80, 7 differential plasma metabolites, mainly glycerophospholipids, were identified in IBD-DH. Kyoto Encyclopedia of Genes and Genomes analysis indicated that metabolic pathways, such as citrate cycle and amino acids metabolism, were mainly responsible for the distinction between IBD and healthy controls, whereas glycerophospholipid metabolism perturbation was not only a manifestation of IBD but also an important pathway to distinguish two subtypes defined by traditional medicine, IBD-DH and IBD-SD. Conclusion. In this study, we found that several metabolites of aromatic acids and lipid derivatives could act as potential biomarkers to discriminate IBD from healthy controls. Glycerophospholipids metabolites might be used to differentiate IBD-DH from IBD-SD.
[Retracted] LINC00518 Promotes Cell Malignant Behaviors via Influencing EIF4A3‐Mediated mRNA Stability of MITF in Melanoma
Authors: Zhang Ping , Liu Xuefeng , Pan Guangtao , Xu Jing , Shen Bin , Ding Xin , Lv Wenliang
Published: July 2022

Melanoma has become the most severe sort of skin cancer, deriving from the pigment‐producing melanocytes. Existing research has validated that long noncoding RNAs (lncRNAs) have critical function in the progression of cancers. LINC00518 has been studied in cutaneous melanoma; however, the molecular mechanism of LINC00518 in melanoma needs in‐depth investigation. In our study, LINC00518 was revealed to be upregulated in melanoma tissues and cells, and melanoma patients in high LINC00518 expression group had poorer prognosis as depicted in GEPIA database. Functional assays revealed that LINC00518 depletion inhibited cell proliferation, migration, invasion, and epithelial‐mesenchymal transition (EMT). Furthermore, MITF was confirmed to be upregulated in melanoma tissues and cells, and melanoma patients in high MITF expression group had poorer prognosis as displayed in GEPIA database. MITF expression was positively connected to LINC00518 expression. Additionally, results of mechanism assays uncovered EIF4A3 could bind with LINC00518 and MITF, and LINC00518 recruited EIF4A3 to stabilize MITF mRNA. Finally, it was demonstrated that upregulation of MITF could partially abrogate the inhibitory impact of LINC00518 knockdown on melanoma cell malignant behaviors. To summarize, LINC00518 promotes the malignant processes of melanoma cells through targeting EIF4A3/MITF axis, which might provide novel potential biomarkers for melanoma prognosis.
Supply Chain Coordination in Industrial Symbiosis Networks with Uncertain Waste Demand and Supply
Authors: Tang Xiaoying , He Yong
Published: July 2022

By-product synergy (BPS) is considered an effective measure to support a circular economy and sustainable development as it can reduce waste disposal and natural resource consumption. The adoption of BPS can create new supplier-buyer relations that are different from traditional ones because the traded products are usually outside of the core business of the supplier, so the new relations need to be coordinated. This paper considers a two-echelon supply chain consisting of a manufacturer and a retailer. The by-product is randomly generated along with the production of the core product. The manufacturer sells its core product directly to the market with uncertain demand and sells the by-product to the retailer facing stochastic demand. To coordinate both the manufacturer’s production and retailer’s order decisions and achieve efficient performance, we analyze several contracts and find that a combined contract with an ABD contract and a revenue sharing contract could coordinate the supply chain and realize Pareto-improvement. A numerical experiment is also carried out to explore the influences of fluctuations in demand and supply on the performance of the manufacturer, the retailer, and the total supply chain.
The lncRNA ZNF667-AS1 Inhibits Propagation, Invasion, and Angiogenesis of Gastric Cancer by Silencing the Expression of N-Cadherin and VEGFA
Authors: Yu Chong , Chen Wenqian , Cai Yi , Du Mingyu , Zong Dan , Qian Luxi , Jiang Xuesong , Zhu Huanfeng
Published: July 2022

Purpose. Gastric cancer is one of the most common malignancies with high mortality worldwide. It is known that long noncoding RNAs (lncRNAs) play important roles in the pathogenesis of gastric cancer. This study investigates the role of lncRNA ZNF667-AS1 in gastric cancer cells. Methods. We have applied real-time quantitative PCR (qPCR) to study the levels of ZNF667-AS1 in gastric cancer biopsies and cell lines. The effects of ZNF667-AS1 on the propagation, clonogenicity, metastasis, and angiogenesis of gastric cancer cells were evaluated by calorimetry, colony formation, cell migration, and angiogenesis assays. Western blotting was used to identify the levels of proteins involved in cancer invasion and angiogenesis signaling pathways. Result. It was found that lncRNA ZNF667-AS1 was downregulated in gastric cancer biopsies. Overexpression of ZNF667-AS1 reduced the propagation, migration, and angiogenesis of gastric cancer cells. Molecular mechanism studies displayed that the high level of lncRNA ZNF667-AS1 promoted the expression of E-cadherin and inhibited the expression of N-cadherin and VEGFA, leading to the inhibition of the proliferation, migration, and angiogenesis of gastric cancer cells. Conclusion. As a tumor suppressor gene, lncRNA ZNF667-AS1 significantly hinders the propagation, metastasis, and angiogenesis of gastric cancer cells by promoting the expression of E-cadherin and inhibiting the expression of N-cadherin and VEGFA. Therefore, lncRNA ZNF667-AS1 could play a synergistic therapeutic role by targeting tumor cells and vascular endothelial cells, which represents a new therapeutic scheme for novel therapeutics of gastric cancer.
An Approach to Improve the Indoor Positioning Performance of Pseudolite/UWB System with Ambiguity Resolution
Authors: Gan Xingli , Huo Zhihui , Sun Lu , Yang Shan , Liu Kaihui
Published: July 2022

Indoor localization is still an open challenge, and some pseudolites have been developed to achieve seamless positioning service based on some commercialized GNSS chips. However, most of these indoor localization technologies often fail in a reasonable solution to the key problems such as low cost and highly accurate and efficient for users. In this paper, we propose an indoor location method based on integrated pseudolite and UWB; the virtual pseudo-range measurements of UWB are used to replace the pseudo-range measurements of pseudolite to solve the indoor multipath problem, which is tightly coupled with the corrected carrier phase measurements of pseudolite. Then, the channel-difference observation equation and UWB-aided ambiguity resolution are proposed for precise positioning. In order to test the proposed method, several experiments are conducted. The results show that the virtual pseudo-range errors from UWB are smaller than that of GNSS, and such a small bias will be better for the fast fixing of ambiguity. In addition, the positioning accuracy of the proposed indoor location method is improved from cm-level for the float solution to mm-level for the fixed solution; these performances would be more convincing to users than that given in the most pseudolite and UWB.
Hardware Loop Simulation of Distributed Embedded Integrated Circuits
Authors: Wang Bo , He Yijie
Published: July 2022

In order to improve the performance of the automotive active safety system, the author proposes a distributed embedded ACCS hardware loop simulation system. The automotive adaptive cruise control system (ACCS) is a completely distributed embedded control system. The author adopts the method of hardware loop simulation, an ARM-based automotive ACCS simulation platform is designed, and the hardware structure and software design of the platform are introduced. The simulation results show that the performance of single-node and double-node responses to step change is basically the same. There is a network in the two-node control loop, the carrying capacity and communication bandwidth of the network are limited, which will inevitably cause information collision and retransmission, which will inevitably cause a delay in the information transmission process, with a delay of about 4.5 seconds. The system opens up the design idea of ACCS and also lays a foundation for future research in related directions, which has a certain enlightenment effect.
Decision Analysis of Multifactor Credit Risk Based on Logistic Regression and BP Neural Network
Authors: Tang Qiang , Shi Wen Yu
Published: July 2022

Small, medium, and micro enterprises play an important role in the development of the national economy and are of great significance in promoting technological innovation, relieving employment pressure, facilitating people’s lives, and maintaining social stability. But in China, small, medium, and micro enterprises generally exist in the phenomenon of “financing difficulties.” Therefore, we need to find a method to forecast its credit risk. By using Python, SPSS, and other software, based on a two-component logistic regression model, assisted by multievaluation model and supported by game theory, this paper establishes an innovative comprehensive credit risk assessment model for small, medium, and micro enterprises.
Study on Fault Characteristics of Layer Short Circuit of Dry-Type Air-Core Series Reactor
Authors: Guo Yang , Xian Richang , Leng Xuebing , Hao Yan , Li Zhi
Published: July 2022

Aiming at the layer short circuit fault of dry-type air-core series reactor winding, in order to reveal the characteristics of electrical parameters when the fault occurs and improve the accuracy of online detection, this paper uses ANSYS Maxwell software to study the changes of electrical parameters when the layer short circuit fault occurs in dry-type air-core series reactor. The changes of equivalent resistance, equivalent reactance, and power factor are simulated and analyzed when the layer short circuit fault occurs in normal operation and different positions of winding. The simulation results show that with the different locations of layer short circuit fault points, the variation laws of electrical parameters of reactors are also different, in which the variation amplitude of power factor is obvious and the variation trend is consistent, which can provide important theoretical support for the online detection and protection of layer short circuit fault of dry-type air-core series reactors.
Computer Vision‐Based Structural Displacement Monitoring and Modal Identification with Subpixel Localization Refinement
Authors: Liu Tao , Lei Yu , Mao Yibing
Published: July 2022

In conventional structural health monitoring (SHM), the installation of sensors and data acquisition devices will affect the regular operation of structures to a certain extent and is also expensive. In order to overcome these shortcomings, the computer vision‐ (CV‐) based method has been introduced into SHM, and its practical applications are increasing. In this paper, CV‐based SHM methods such as template matching and Hough circle transform are described. In order to improve the accuracy of pixel localization, the subpixel localization refinement method is introduced. The displacement monitoring experiment of an aluminum alloy cantilever with three targets is conducted by using the two CV‐based SHM methods and the laser displacement sensors simultaneously. The displacement monitoring results of CV‐based methods agree well with those measured by the laser transducer system in the time domain. After that, the first two modes of the cantilever are identified from the monitoring results. In addition, the experimental modes identified from the monitoring data and those calculated from the finite element model are also consistent. Therefore, the developed CV‐based methods can obtain accurate displacement results in both time and frequency domains, which could be applied to complex structures with more monitoring targets.
[Retracted] The Clinical Application of Remimazolam Benzenesulfonate Combined with Esketamine Intravenous Anesthesia in Endoscopic Retrograde Cholangiopancreatography
Authors: Yi Xiuna , Xu Weiwei , Li Aizhi
Published: July 2022

In this project, algorithm‐based image processing methods in 3D endoscopic image processing endoscopic retrograde cholangiopancreatography (ERCP) were analyzed. To enhance local information of images, an adaptive histogram equalization method with limited contrast is introduced. The influences of the algorithm on 3D endoscopic image peak signal‐to‐noise ratio (PSNR), image discrete information entropy (DE), and average mean brightness error (AMBE) of images before and after the optimization before were compared. A total of 92 patients receiving ERCP at Yuhuangding Hospital between December 2019 and December 2021 were selected and divided into the control group (fentanyl+propofol) and the observation group (remimazolam benzenesulfonate+esketamine). Mean arterial pressure heart rate (HR), oxygen saturation (SpO2), and respiratory rate (RR) of the patients at each time point including the entry into the operation room (T0), 2 minutes after the beginning of medication (T1), after endoscopy (T2), endoscopy withdrawal (T3), and postoperative awakening (T4) were recorded. The comparison of MAP between T1, T2, T3, and T4 and T0 among patients in the observation group and the control group showed statistical differences (P < 0.05). Besides, HR and RR at T4 in the observation group were obviously higher than those in the control group (P < 0.05). The comparison of SpO2 at T3 and T4 and that at T0 both showed statistical differences (P < 0.05). Awakening time and VAS scores in the observation group were obviously lower than those in the control group (P < 0.05). The incidence of bradycardia, nausea, vomiting, and chill in the observation group was all lower than that in the control group (P < 0.05). The results indicated that an effective endoscopic image processing method was established based on an image enhancement algorithm, and the combination of remimazolam benzenesulfonate and esketamine showed high safety and efficacy in ERCP.
Application of Information Technology in the Inheritance and Communication of Tai Chi Culture in the Era of Big Data
Authors: Du Haoying , Du Bin
Published: July 2022

With the advent of the era of big data, the development of Internet technology has provided more platforms for the development of traditional culture and expanded the scope of influence of traditional culture. In the development process of Tai Chi, how to give full play to the advantages of information technology, enhance the influence of Tai Chi, and promote the dissemination and inheritance of the Chinese traditional sports culture are the problems that need to be solved at present. This paper took the population of Tai Chi practicing in X community as the investigation object and analyzed the current inheritance and development status of Tai Chi, found out the main problems in the inheritance and development of Tai Chi, and finally put forward the path of using VR technology in information technology for spread. In addition, the satisfaction of residents with the transmission and inheritance of Tai Chi was measured at the policy, economic, social, and technical levels and compared with the satisfaction of residents before and after the application of VR technology through experiments. The results showed that after the use of VR technology, residents were more involved in Tai Chi and had better satisfaction at all levels.