bluuebunny/crossref_metadata_2025 huggingface dataset:
Constructing approximately diagonal quantum gates
Authors: Griffin Colton , Cui Shawn X.
Published: August 2022

We study a method of producing approximately diagonal 1-qubit gates. For each positive integer, the method provides a sequence of gates that are defined iteratively from a fixed diagonal gate and an arbitrary gate. These sequences are conjectured to converge to diagonal gates doubly exponentially fast and are verified for small integers. We systemically study this conjecture and prove several important partial results. Some techniques are developed to pave the way for a final resolution of the conjecture. The sequences provided here have applications in quantum search algorithms, quantum circuit compilation, generation of leakage-free entangled gates in topological quantum computing, etc.
On the dominant local metric dimension of some planar graphs
Authors: Lal Sohan , Bhat Vijay Kumar
Published: August 2022

Dominant local metric dimension (DLMD) combines two interesting graph theory concepts: domination and local metric dimension (LMD). Graph invariants are a fantastic tool for analyzing graph abstract structures. Metric dimension and DLMD as graph invariants have a wide range of applications, which includes robot navigation, pharmaceutical chemistry, pattern recognition, and image processing. In this paper, we computed the DLMD of the prism graph [Formula: see text], antiprism graph [Formula: see text], and the sunflower graph [Formula: see text].
The Effect of Fe Substitution on the Magnetization Behavior at Low Temperatures in Amorphous FexNi80−xB12Si8 Ribbons (x=0.10 to 16)
Authors: Ouahbi S. El , Lassri H.
Published: August 2022

Amorphous FexNi[Formula: see text]B[Formula: see text]Si8 alloys ([Formula: see text] to 16) were fabricated by employing wheel melt spinning process. Measurements of magnetization were made over temperature range of 4.20–360[Formula: see text]K and with an applied magnetic field up to 160[Formula: see text]kOe. By making a substitution Ni by Fe, the [Formula: see text] (Curie temperature) was actually discovered to rise. The spin wave (SW) theory was used to examine the magnetism at low temperatures. At low temperatures (4.20[Formula: see text]K), magnetization curves were found to obey Bloch’s [Formula: see text] law. Certain important parameters were determined, such as the constant D (SW stiffness) and the distance between interatomic transition metals [Formula: see text] for the different compositions. We employed the law of approach to magnetic saturation to obtain some important parameters, including a random magnetic anisotropy constant [Formula: see text] and then the anisotropy local correlation length. So, it’s worth noting that as Fe concentration rises, the exchange constants, random magnetic anisotropy constant [Formula: see text], and also the ferromagnetic correlation [Formula: see text] rise.
Design and Analysis of Magnetic Tunnel Junction for Spintronic-Based STT-MRAM
Authors: Sharma Parul , Gill Sandeep Singh , Raj Balwinder
Published: August 2022

The magnetic tunnel junction is the heart of the STT-MRAM memory. The MTJ is a spintronic device, which is used to store and read the data. With the advancement, most of the work is done online and a useful device is needed in order to store the data. Hence, it is important to design a promising device to store the data for a long time without any damage or loss of information. In this paper, first, we use the MTJ LAB simulator to check the important parameters such as TMR, resistance, and STT components and check how these parameters change for different oxide thicknesses. After this, the device was hybrid with the CMOS for 1-bit STT-MRAM and the results were drawn. So, in this paper, the main focus is to select appropriate oxide thickness and [Formula: see text][Formula: see text]nm is used to get better TMR ratio, resistance, and STT-components.
A Deep Graph Network with Multiple Similarity for User Clustering in Human–Computer Interaction
Authors: Kang Yan , Pu Bin , Kou Yongqi , Yang Yun , Chen Jianguo , Muhammad Khan , Yang Po , Xu Lida , Hijji Mohammad
Published: August 2022

User counterparts, such as user attributes in social networks or user interests, are the keys to more natural
Human–Computer Interaction (HCI)
. In addition, users’ attributes and social structures help us understand the complex interactions in HCI. Most previous studies have been based on supervised learning to improve the performance of HCI. However, in the real world, owing to signal malfunctions in user devices, large amounts of abnormal information, unlabeled data, and unsupervised approaches (e.g., the clustering method) based on mining user attributes are particularly crucial. This paper focuses on improving the clustering performance of users’ attributes in HCI and proposes a
deep graph embedding network with feature and structure similarity
(called
DGENFS
) to cluster users’ attributes in HCI applications based on feature and structure similarity. The DGENFS model consists of a
Feature Graph Autoencoder (FGA)
module, a
Structure Graph Attention Network (SGAT)
module, and a
Dual Self-supervision (DSS)
module. First, we design an attributed graph clustering method to divide users into clusters by making full use of their attributes. To take full advantage of the information of human feature space, a k-neighbor graph is generated as a feature graph based on the similarity between human features. Then, the FGA and SGAT modules are utilized to extract the representations of human features and topological space, respectively. Next, an attention mechanism is further developed to learn the importance weights of different representations to effectively integrate human features and social structures. Finally, to learn cluster-friendly features, the DSS module unifies and integrates the features learned from the FGA and SGAT modules. DSS explores the high-confidence cluster assignment as a soft label to guide the optimization of the entire network. Extensive experiments are conducted on five real-world data sets on user attribute clustering. The experimental results demonstrate that the proposed DGENFS model achieves the most advanced performance compared with nine competitive baselines.
Enhanced availability of serotonin limits muscle activation during high-intensity, but not low-intensity, fatiguing contractions
Authors: Henderson Tyler T. , Taylor Janet L. , Thorstensen Jacob R. , Tucker Murray G. , Kavanagh Justin J.
Published: August 2022

As serotonin release onto motoneurons may be scaled to the strength of muscle contraction, it may have different effects when neuromuscular fatigue is induced by contractions of different intensities. Enhanced levels of serotonin compromised voluntary activation of muscle when fatigue was induced by strong contractions but not weak contractions. This provides evidence that the serotonergic system has the greatest influence on fatigue that is generated with high neural drive to the target muscle.
Prediction of the Age and Gender Based on Human Face Images Based on Deep Learning Algorithm
Authors: Haseena S. , Saroja S. , Madavan R. , Karthick Alagar , Pant Bhaskar , Kifetew Melkamu
Published: August 2022

In recent times, nutrition recommendation system has gained increasing attention due to their need for healthy living. Current studies on the food domain deal with a recommendation system that focuses on independent users and their health problems but lack nutritional advice to individual users. The proposed system is developed to suggest nutritional food to people based on age and gender predicted from their face image. The designed methodology preprocesses the input image before performing feature extraction using the deep convolution neural network (DCNN) strategy. This network extracts

D

-dimensional characteristics from the source face image, followed by the feature selection strategy. The face’s distinctive and identifiable traits are chosen utilizing a hybrid particle swarm optimization (HPSO) technique. Support vector machine (SVM) is used to classify a person’s age and gender. The nutrition recommendation system relies on the age and gender classes. The proposed system is evaluated using classification rate, precision, and recall using Adience dataset and UTKface dataset, and real-world images exhibit excellent performance by achieving good prediction results and computation time.
Acupuncture Improves Endometrial Angiogenesis by Activating PI3K/AKT Pathway in a Rat Model with PCOS
Authors: Xing Liwei , Chen Yang , He Zhe , He Ming , Sun Yuhuan , Xu Jinlong , Wang Jian , Zhuang Haina , Ren Zeqin , Chen Ying , Yang Jun , Cheng Shuluo , Zhao Rong
Published: August 2022

Background. Acupuncture, a treatment derived from traditional Chinese medicine, can effectively relieve the symptoms and improve pregnancy outcome in patients with polycystic ovary syndrome (PCOS); however, its mechanism remains unclear. This study aimed at investigating whether acupuncture could improve endometrial angiogenesis and thus endometrial receptivity via activating PI3K/AKT pathway in PCOS rats. Methods. We established a rat model with PCOS, which was induced by DHEA. Acupuncture was performed every other day for 15 days, and the PI3K inhibitor (LY294002) was intraperitoneal injected 30 mins before acupuncture treatment. Females rats were mated with male SPF SD rats in a ratio of 2 : 1 after treatment and sacrificed on the 5th day when the vaginal plug was identified. The number of implantation sites was observed, followed by ovarian and endometrial morphology detected with hematoxylin-eosin staining and a scanning electron microscope, estrous cycle detected with vaginal smear analysis, and sex hormones and angiogenesis-related PI3K/AKT gene/protein expression detected with enzyme-linked immunosorbent assay, western blotting, immune histochemistry, and quantitative real-time PCR. Results. Acupuncture notably improved implantation sites’ number, endometrial receptivity factors including endometrial morphology, pinopodes, HOX-10, and LIF protein expression, as well as angiogenesis and PI3K/AKT pathway factors such as VEGF, VEGFR2, Ang-1, PI3K, AKT, and P-AKT gene/protein expression and the level of eNOS and NO in the endometrium of rats with PCOS; PCOS-like symptoms were alleviated as well. The efficacy of acupuncture on a rat model with PCOS was counteracted by the combination with the PI3K inhibitor. Conclusion. Acupuncture improves endometrial angiogenesis by activating the PI3K/AKT pathway, thus promoting endometrial receptivity and the number of implantation sites in rats with PCOS.
Cotton Disease Detection Using TensorFlow Machine Learning Technique
Authors: Kumar Sandeep , Ratan Rajeev , Desai J. V.
Published: August 2022

Agriculture is a main source of income for farmers in India. Farmers produce many seasonal local crops based on their location. Cotton is the most produced crop across India. Cotton is a commercial crop, and farmers get good capital from cotton. This will increase the income of the farmer. However, one of the basic problems with cotton is that it is easily exposed to many diseases. These diseases need to be identified as early as possible to avoid production loss. In this paper, the CNN algorithm is used to create the prediction model by leveraging the TensorFlow’s Keras API. This model is further used in mobile app development which helps the farmers identify cotton disease and recommend the pesticides which can be used to overcome the disease. The TensorFlow open-source platform was used to prepare the ML model. The TensorFlow Tflite model is created, and after that, the model is converted into the Core ML model, which is used in iOS app to make the disease predication. Google’s core API is used to convert the TensorFlow model into the Core ML model. The label dataset was used to create the model. The Swift language is used in app development. The model accuracy was around 90%. Currently, boll rot and fungal leafspot disease are detected in this app. However, the app can be further extended for other cotton diseases too.
CircLMTK2 Silencing Attenuates Gemcitabine Resistance in Pancreatic Cancer by Sponging miR-485-5p and to Target PAK1
Authors: Lu Yeting , Zhou Shuping , Cheng Gong , Ruan Yi , Tian Yuan , Lv Kaiji , Han Shuo , Zhou Xinhua
Published: August 2022

Pancreatic cancer (PC) has a high degree of malignancy and poor prognosis, and countless patients have distant metastasis when diagnosed. Gemcitabine (GEM) chemotherapy is one of the main ways of treatment. However, PC cells have been displayed chemoresistance to GEM during treatment. Circular RNAs (circRNAs) have been demonstrated to be the most popular diagnostic and prognostic biomarkers in PC with GEM resistance. Here, we assessed the potential of circLMTK2 in the GEM resistance of PC cells. Functional assays were implemented to measure the impacts of circLMTK2 on the proliferation, migration/invasion, and apoptosis of GEM-resistant PC cells. Bioinformatics analysis and mechanical experiments displayed the underlying mechanism of circLMTK2 in GEM-resistant PC cells. We found that circLMTK2 was upregulated in PC and GEM-resistant PC tissues and cells. CircLMTK2 knockdown suppressed proliferation, invasion, migration, and enhanced apoptosis in GEM-resistant PC cells. Moreover, circLMTK2 silencing could decrease GEM resistance-associated tumor size in vivo. In terms of mechanism, circLMTK2 served as a sponge for miR-485-5p, and miR-485-5p bound to p21 (RAC1) activated kinase 1 (PAK1), which were clarified via the dual-luciferase assay in PC cell lines. We confirmed that circLMTK2 knockdown attenuated GEM-resistant PC cells by regulating PAK1 via miR-485-5p. Our study demonstrated that circLMTK2 may be a novel diagnostic and prognostic biomarker in GEM-resistant PC cells.
Curcumin Inhibits Hyperandrogen-Induced IRE1α-XBP1 Pathway Activation by Activating the PI3K/AKT Signaling in Ovarian Granulosa Cells of PCOS Model Rats
Authors: Zhang Yaling , Wang Lei , Weng Yajing , Wang Daojuan , Wang Rong , Wang Hongwei , Wang Lihui , Shen Shanmei , Wang Hongwei , Li Yan , Wang Yong
Published: August 2022

Background. Hyperandrogenism is a common characteristic of polycystic ovary syndrome (PCOS). Long-term, continuous exposure to hyperandrogenic environments may cause excessive endoplasmic reticulum (ER) stress in ovarian granulosa cells (GCs). Curcumin is a polyphenol extracted from turmeric rhizomes which has several pharmacological effects that may benefit patients with PCOS. To explore whether curcumin can inhibit hyperandrogen-induced ER stress in ovarian GCs of PCOS rats and to elucidate the possible underlying mechanisms. Methods. We developed PCOS model rats by exposure to hyperandrogenic conditions and divided the rats into control, PCOS, and PCOS+curcumin (200 mg/kg, for 8 weeks) groups. The levels of ER stress-related proteins and PI3K/AKT phosphorylation were measured in the ovarian tissue of all experimental groups by real-time quantitative PCR, western blotting, immunohistochemistry, and immunofluorescence. Subsequent in vitro analysis on primary cultured GCs was performed to confirm the influence of curcumin on ER stress inhibition by immunofluorescence and western blotting. Results. Curcumin protects GCs from hyperandrogen-induced apoptosis in PCOS model rats by inhibiting the ER stress-related IRE1α-XBP1 pathway and activating the PI3K/AKT signaling pathway. Conclusions. These observations indicate that curcumin might be a safe and useful supplement for PCOS patients.
Design of College English News Listening Teaching System Based on Improved SPOC by using IoT
Authors: Liu Peng
Published: August 2022

Due to the limitation of actual teaching conditions, limited resources, and unsatisfactory teaching effect, a hybrid teaching system of college English news listening course based on improved SPOC is proposed. The hardware environment is made up of 5 servers and 3 switches, and the hardware service resource is optimized by SPOC cloud deployment. The cough relieving mechanism based on evaluation level is built inside the system. The objective of this study designs and implements a research on the application of the improved SPOC hybrid teaching system in college English listening teaching. The test results show that the design system can effectively improve students’ learning performance and enthusiasm and initiative and, to some extent, improve students’ listening learning habits.
Effect of Reinforced Self-Cured Acrylic Resin on Flexural Strength
Authors: Apimanchindakul Chavinee , Na Nan Pheeradej , Aimjirakul Napapa
Published: August 2022

Introduction. The aim of this study was to determine the effect on the flexural strength of the self-cured acrylic resin by incorporating short E-glass fiber (SEGF) and ultra-high-molecular-weight polyethylene (UHMW-PE) filler in the acrylic resin. Methods. Fifty-six rectangular (64 × 10 × 3.3 mm3) (ISO standard 20795–1:2013) self-cured acrylic resin specimens were fabricated and divided into seven groups per test, according to the percent by weight of SEGF and UHMW-PE filler (n = 8). Each testing group entails a control group and an addition of 1% and 2% SEGF, 1% and 2% UHMW-PE, 0.5% SEGF/UHMW-PE, and 1% SEGF/UHMW-PE. A three-point bending test was conducted to obtain the flexural strength of each specimen. The fractured surfaces of the specimens were evaluated, and a scanning electron microscope view was taken. Test results were statistically analyzed with one-way ANOVA and Tukey HSD tests (

p

value<0.05). Results. The flexural strength of self-cured acrylic resin with the addition of 1% SEGF and 1% SEGF/UHMW-PE (50.93, 46.13 MPa) was significantly higher than that of the control group (41.72 MPa) (

p
<
0.05

). Nonetheless, the addition of 1% UHMW-PE (39.34 MPa) showed the lowest flexural strength, significantly lower than other experimental groups, except the control group. Conclusion. The addition of 1% SEGF significantly improves the flexural strength of the self-cured acrylic resin denture base.
Phase Portraits and Bounded and Singular Traveling Wave Solution of Stochastic Nonlinear Biswas–Arshed Equation
Authors: Tang Yong , Zeng Wei , Li Zhao
Published: August 2022

The main purpose of the current paper is to study the phase portraits and bounded and singular traveling wave solution of the stochastic nonlinear Biswas–Arshed equation by using the “three‐step method” of Professor Li’s method together with the phase orbit of planar dynamical system. Firstly, by employing the traveling wave transformation, the stochastic nonlinear Biswas–Arshed equation is simplified into deterministic nonlinear ordinary differential equation. Secondly, phase portraits of the stochastic nonlinear Biswas–Arshed equation are plotted by analyzing the planar dynamic system of the nonlinear ordinary differential equation. Finally, the bounded and singular traveling wave solutions of the stochastic nonlinear Biswas–Arshed equation are constructed.
Development and Verification of a Combined Diagnostic Model for Sarcopenia with Random Forest and Artificial Neural Network
Authors: Lin Shangjin , Chen Cong , Cai Xiaoxi , Yang Fengjian , Fan Yongqian
Published: August 2022

Background. Sarcopenia is a chronic disease characterized by an age-related decline in skeletal muscle mass and function, and diagnosis is challenging owing to the lack of a clear “gold standard” assessment method. Objective. This study is aimed at combining random forest (RF) and artificial neural network (ANN) methods to screen key potential biomarkers and establish an early sarcopenia diagnostic model. Methods. Three gene expression datasets were downloaded and merged by searching the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) in the merged dataset were identified by R software and subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Afterward, the STRING database was employed for interaction analysis of the differentially encoded proteins. Then, RF was used to identify key genes from the DEGs, and a sarcopenia diagnostic model was constructed by ANN. Finally, the diagnostic model was assessed using a validation dataset, while its diagnostic performance was evaluated by the area under curve (AUC) value. Results. 107 sarcopenia-related DEGs were identified, and they were mainly enriched in the FoxO and AMPK signaling pathways involved in the molecular pathogenesis of sarcopenia. Thereafter, seven key genes (MT1X, FAM171A1, ZNF415, ARHGAP36, CISD1, ETNPPL, and WISP2) were identified by the RF classifier. The proteins encoded by three of these genes (CISD1, ETNPPL, and WISP2) may be potential biomarkers for sarcopenia. Finally, a diagnostic model for sarcopenia was successfully designed by ANN, achieving an AUC of 0.999 and 0.85 in the training and testing datasets, respectively. Conclusion. We identified several potential genetic biomarkers and successfully developed an early predictive model with high diagnostic performance for sarcopenia. Moreover, our results provide a valuable reference for the early diagnosis and screening of sarcopenia in the future.
Efficiency Evaluation and Influencing Factors Analysis of Logistics Industry based on Multiobjective Intelligent Computing
Authors: Zhou Tingyan , Li Wenxing
Published: August 2022

In logistics industry of 12 provinces along China’s new western land-sea corridor from 2010 to 2019, this research employed three-stage SBM model that considers undesirable output to measure logistics industrial efficiency and the panel Tobit model to investigate variables impacting logistics efficiency. The study found that after controlling for environmental variables and statistical noise, the logistics industrial efficiency in China’s new western land-sea corridor has improved, and the logistics sector efficiency of each province has spatial variability. Generally speaking, the south part goes up and the north part goes down; industrial structure, logistics transportation intensity, and economic development have a favorable influence on logistics sector efficiency. The urbanization rate, government support level, level of infrastructure, and degree of openness all have a negative influence on efficiency. Finally, relevant policy considerations such as logistics transport intensity, pure technical efficiency, scale efficiency, and external environment are proposed.
Transient Pneumonitis as a Possible Adverse Reaction to the BNT162b2 COVID-19 mRNA Vaccine in a Patient with Rheumatoid Arthritis: A Case Report and Review of the Literature
Authors: Ohkubo Yusuke , Ohmura Shin-ichiro , Ishihara Ryuhei , Miyamoto Toshiaki
Published: August 2022

The coronavirus disease (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 has led to rapid progress in vaccine development to prevent the spread of the disease. Although COVID-19 vaccines have excellent effectiveness in reducing morbidity and disease severity with minor adverse reactions, some patients develop late hypersensitivity events as autoimmune reactions such as rheumatoid arthritis, lupus nephritis, and vasculitis following COVID-19 vaccination. Herein, we describe a case of pneumonitis following COVID-19 mRNA vaccination in a patient with rheumatoid arthritis, which resolved spontaneously.
Micro/Nanosilver Contribution in Modifying the Lubrication Film to Improve Friction and Wear Behaviors of TiAl-10 wt.%Ag Composite
Authors: Yang Kang , Xiao Na
Published: August 2022

Tribological performances of solid films are studied to improve their application range while retaining the longevity and high accuracy of TiAl alloy. For a ball-on-flat tribopair system, addition of micro/nanosilver improved the tribological behaviors of TiAl-10 wt.% Ag self-lubricating composite (TASC), compared to those of TiAl alloy. Notably, during microstructure evolution of the wear scar cross-section, a large amount of silver migrated from the TASC to the wear scar, and the silver distributions increased. This influx continuously enriched silver on the wear scar cross-section and formed a low-hardness lubrication film. Concurrently, a large amount of wear debris from the dry sliding wear contributed enough refinements to form a high hardness grain refinement layer. The results confirmed the formation of a 0.75 GPa hardness film with solid lubrication on a grain refined layer of 6.86 GPa hardness, resulting in excellent antifriction and wear resistance from 72 min to 90 min of the TASC. These results can help to evaluate the tribological characteristics for their commercial application and can conceptualize possible solutions for TiAl alloy-base components.
Differential Analysis and Prediction Optimization of Ground Surface Settlement Induced by Quasi‐Rectangular Shield and Pipe Jacking Tunnelling
Authors: Liu Xue , Li Peinan , Liu Jun , Dai Zeyu , Chen Peixin , Kou Xiaoyong , Fan Jie
Published: August 2022

The shield method and pipe jacking method will impact the ground surface and surrounding settlement during tunnel construction. Due to their different tunnelling principles and their cross‐section characteristics, the impact on the stratum is often different. To study the differences between the two construction methods on ground surface settlement, numerical simulations, Peck empirical formulas, and field measurement data were used for analysis and comparison in this work. Two correction coefficients α and λ are introduced for correction on the basis of the DOT Peck formula, and the analysis of sensitivity factors for the ground settlement for the two construction methods is carried out. The numerical simulation results show that the ground settlement induced by pipe jacking construction is smaller than that of the shield, and this simulation result is confirmed by the field measurement result. When λ is selected from 0.85 to 0.91 and α from 1 to 1.1 for the shield project, 1.2 to 1.4, and 1.4 to 1.6 for the pipe jacking project, the modified formula can better predict the ground surface settlement. According to the sensitivity factor analysis, grouting pressure and elastic modulus of grout material exert a more significant influence on pipe jacking construction. The retreat of the pipe section caused by the tunnelling pressure difference will lead to 0 mm ∼ 1.93 mm fluctuation on the ground surface.
Investigations of Nanoparticles (Al2O3‐SiO2) Addition on the Mechanical Properties of Blended Matrix Polymer Composite
Authors: Logesh K. , Vel V. M. , Seikh A. H. , Hebbale Ajit M. , A S Rajesh , Nagabhooshanam N. , Subbiah Ram , Siddique M. H. , Kumar S. Praveen
Published: August 2022

The manufacture and investigation of the characteristics of nanocomposites with nanoparticles are made by the sol‐gel technique. It comprises two substances (aluminium oxide‐silicon oxide), as well as the influence of such particles on the mechanical characteristics of a polymeric matrix is described in this study. Tensile, bending, and hardness tests were utilized to assess the mechanical characteristics of the hybrid material. The evaluation results of composite nanoparticles revealed a clear dispersion of chemical components among aluminium oxide and calcium oxide, softness in particulate matter during crystallization at high and low temperatures, the initiation of various nanostructures forms, and distinct stages of an alumina particle. When compared to a polymeric mix without nanoparticle inclusion, mechanical behaviour tests demonstrated a considerable improvement in the mechanical capabilities of the nanocomposites, notably at 2%. Mechanical parameters such as tensile strength are 61.36 MPa, flexural strength is 74.25 MPa, and hardness is 83.27 D at 2.5 wt% at 600°C heat treatment conditions. Under 900°C heat treatment conditions, tensile properties of 54.12 MPa at 1 wt. percent, flexural properties of 79.21 MPa at 2 wt. percent, and shore hardness of 81.21 D at 2.5 wt. percent of nanoparticles were measured.
Reliability Calibration of Tower Members in Transmission Line System Crossing High‐Speed Railway
Authors: Feng Yunfen , Gao Shufei , Feng Zeyu
Published: August 2022

Due to the rapid development of high‐speed railway in China, transmission line systems across the high‐speed railway system have become more prevalent in recent years, which highlights the importance of reliable design for systems. The design is generally based on the structural reliability theory, in which the determination of target reliability level is the key. To determine the reliability level of a transmission line across high‐speed railway, the statistical parameters of load effects and resistances of tower members are derived and reliability calibration of tower elements satisfying the minimum design requirement in Chinese codes is performed by JC method. Furthermore, the reliability level of a transmission line across high‐speed railway is divided into three classes, in which Class 1 is the strongest. According to the calibration results, the minimum target reliability indices are recommended. The results show that the reliability level is similar to the reliability of tower elements in the U.S. but higher than that in Canada. The target reliability indices with values of 3.7, 3.2, and 2.7 are recommended for Class 1, Class 2, and Class 3, respectively.
Identification of Key Genes and Molecular Pathways in Keratoconus: Integrating Text Mining and Bioinformatics Analysis
Authors: Hu Di , Lin Zenan , Jiang Junhong , Li Pan , Zhang Zhehuan , Yang Chenhao
Published: August 2022

Purpose. To identify the potential key genes and molecular pathways associated with keratoconus and allergic disease. Methods. The pubmed2ensembl database was used to identify the text mining genes (TMGs) collectively involved in keratoconus and allergic disease. The GeneCodis program was used to perform the Gene Ontology (GO) biological process and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of TMGs. The protein‐protein interaction (PPI) network of the TMGs was established by STRING; the significant gene modules and hub genes of PPI were further performed using the Cytoscape software. The DAVID database was used to perform the GO and KEGG analyses of the significant module. Results. In total, 98 TMGs collectively involved in keratoconus and allergic disease were identified. 19 enriched biological processes including 71 genes and 25 enriched KEGG pathways including 59 genes were obtained. A TMG PPI network was constructed, and 51 genes/nodes were identified with 110 edges; 3 most significant modules and 12 hub genes were chosen from the PPIs. GO enrichment analysis showed that the TMGs were primarily associated with collagen catabolic process, extracellular matrix organization and disassembly, cell adhesion and migration, collagen‐containing extracellular matrix, extracellular matrix, and structure organization. KEGG pathway analysis showed that these DEGs were mainly involved in the IL‐17 signaling pathway, inflammatory bowel disease, rheumatoid arthritis, allograft rejection, T cell receptor signaling pathway, cytokine‐cytokine receptor interaction, and TNF signaling pathway. Conclusions. The results revealed that IL10, IL6, MMP9, MMP1, HGF, VEGFA, MMP3, MMP2, TGFB1, IL4, IL2, and IFNG were potential key genes involved in keratoconus. IL‐17 signaling pathway was the potential pathways accounting for pathogenesis and development of keratoconus.
Photocatalytic Performance Study of Organophosphorus-Doped Tungsten Trioxide and Composite Materials
Authors: Zhang Ping , Sun Jiayu , Qi wang  , Chen Wei , Li Xiaochen
Published: August 2022

The present study successfully produced a highly effective and stable organ phosphorus-doped tungsten trioxide (P-WO3) photocatalyst by a combination of hydrothermal and postcalcination methods. The crystallites, morphologies, and optical properties of the produced WO3 and P-WO3 crystals were investigated. The results indicated that P was consistently doped into the WO3 lattice in a pentavalent-oxidation state (P5+). Additionally, charge carrier traps capable of accepting photoelectrons were created. Additionally, the optical band gap was reduced from 2.4 to 2.33 eV. The degradation of methyl blue by photocatalysts was utilized to evaluate the photocatalytic performance of the synthesized P-WO3 samples at varied P concentrations (MB). The sample containing 6% -P-WO3 exhibited the best photocatalytic performance, degrading 96 percent of MB in 120 minutes, which was more than four times faster than the pure WO3 sample. The practicality of the synthesized P-WO3 was determined using samples from two residential wastewater treatment plants. When treating real wastewater with low organic matter concentrations, the P-WO3 demonstrated strong photodegradation performance. The creation of hydroxyl radicals (OH) and photography-created holes (h+) could be the key protagonists of photocatalytic activity in the P-WO3.
Hsa_circRNA_0008028 Deficiency Ameliorates High Glucose-Induced Proliferation, Calcification, and Autophagy of Vascular Smooth Muscle Cells via miR-182-5p/TRIB3 Axis
Authors: Shi Lili , Li Yuliang , Shi Meixin , Li Xiaoxue , Li Guopeng , Cen Jie , Liu Dan , Wei Can , Lin Yan
Published: August 2022

Background. It is well-known that dysfunctions of vascular smooth muscle cells (VSMCs) act an essential part in vascular complications of diabetes. Studies have shown that circular RNAs (circRNAs) and microRNAs (miRNAs) play a crucial role in regulating cell functions. However, their influence on the proliferation, calcification, and autophagy of VSMCs remains to be further explored. Therefore, this study elucidates the role and mechanism of hsa_circRNA_0008028 in high glucose- (HG-, 30 mM) treated VSMCs in vitro. Methods. Quantitative real-time polymerase chain reaction (qRT-PCR) was chosen to detect the levels of hsa_circRNA_0008028, miR-182-5p, and tribble 3 (TRIB3). Then, dual-luciferase reporter and RNA immunoprecipitation (RIP) assays were used to predict and verify the binding relationship between miR-182-5p and hsa_circRNA_0008028 or TRIB3. Cell counting kit-8 assay, 5-ethynyl-2

′

-deoxyuridine (EdU) staining, corresponding commercial kits, and western blotting were used to measure indexes reflecting cell viability, proliferation, calcification, and autophagy of VSMCs, respectively. Results. In HG-induced VSMCs, hsa_circRNA_0008028 and TRIB3 were highly expressed, whereas miR-182-5p decreased. Meanwhile, cell proliferation, calcification, and autophagy could be repressed by silencing of hsa_circRNA_0008028. However, these effects can be eliminated by miR-182-5p inhibition. Furthermore, it was demonstrated that hsa_circRNA_0008028 could promote the expression of TRIB3, a target of miR-182-5p, by directly sponging miR-182-5p. The expression of TRIB3 was suppressed by hsa_circRNA_0008028 knockout, which was rescued by miR-182-5p inhibition. Conclusion. This study reveals that hsa_circRNA_0008028 can act as a sponge of miR-182-5p and promote HG-induced proliferation, calcification, and autophagy of VSMCs partly by regulating TRIB3.
Impact Sound Insulation Performance Testing of Nano-Inorganic Composite Floor Slabs for Green Buildings
Authors: Luo Weibing , Yang Yigang , Zhou Hongyan
Published: August 2022

To explore the detection of impact sound insulation performance of nano-inorganic composite floor slabs for green buildings, for 4 types of floor slab practices in a certain area, we carry out the detection of the sound insulation performance of the floor impact sound and analyze and summarize the test results. Finally, several common technical measures to effectively improve the sound insulation performance of floor impact sound are summarized. Experimental results show that with floor slabs using nano-inorganic composite material FBP, the impact sound insulation performance of the floor slab can be greatly improved. FRP materials have the advantages of high strength, lightweight, and good corrosion resistance. They are more and more widely used in construction engineering. At this stage, for environmental friendly green building materials and nano-inorganic composite materials with certain effects, their main practice and application play an important role. It is proved that adding FBP material can greatly improve the impact sound insulation performance of floor slabs.
Quasi‐Regular Graphs Associated with Commutative Rings
Authors: Zeyada Nasr , Muthana Najat , Al-Rashidi Sultanah
Published: August 2022

One of the most important branches of mathematics is algebraic graph theory, which solves graph problems with algebraic methods. In graph theory, several algebraic properties of a ring can be represented. In this paper, we define an innovative graph on rings, explore its characteristics, and examine how it relates to other notions in the field. Let S be a ring; the quasi‐regular graph of S is a graph with a vertex set of S − {0} and any two different vertices w and z are adjacent if 1 − wz is a unit in S. We study this graph by providing different examples and proving some crucial characteristics. This study provides important results and paves the way for a lot of different inquiries and studies utilizing this novel approach.
Design of Distance English Teaching Application System Combined with Behavioral Cognitive Settlement
Authors: Liu Wenqin
Published: August 2022

In order to improve the quality of Distance English teaching, this study studies the teaching application system combined with behavioral cognition. In the research, relevant technologies such as settlement system integration, automatic scoring, data encryption, authority control and problem matching are introduced, and the system is improved. This process promotes the social and economic benefits brought by this kind of system with the help of various verification methods. At the same time, it also summarizes the advantages of Distance English teaching, and finally realizes the effective analysis of this kind of system. The design of the Distance English teaching application system is of great help to the follow-up teaching work. Therefore, we need to actively design such a system to optimize the quality of English teaching and lay a good foundation for teachers’ follow-up teaching.
Retinex Algorithm and Mathematical Methods Based Texture Detail Enhancement Method for Panoramic Images
Authors: Kang Yingxi
Published: August 2022

A panoramic image texture detail enhancement method based on the Retinex algorithm is proposed to work on the nature of panoramic images. Firstly, the panoramic image is collected, then the panoramic image is preprocessed through brightness enhancement, the brightness of the preprocessed panoramic image is normalized, and the panoramic image is optimized and increased by the improved Retinex algorithm. Finally, the simulation test of the panoramic image was carried out. The results show that the improved Retinex algorithm works on the sign to-commotion proportion of the panoramic image. Furthermore, the time required to enhance the panoramic texture detail is short, which can meet the practical requirements of panoramic image subsequent processing.
Comparison of Diagnostic Value for Chronic Kidney Disease between 640‐Slice Computed Tomography Kidney Scan and Conventional Computed Tomography Scan
Authors: Zhao Yusen , Wang Yaoyi , Xu Yuanbo , Zhao Yijie , Qu Yingwu , Zhang Hua , Zhang Zhimin , Hu Zhenshun , Zhu Xiaolong , Cui Shujun , Xie Jin
Published: August 2022

Objective. To explore the diagnostic value for chronic kidney disease (CKD) between 640‐slice computed tomography (CT) kidney scan and conventional CT scan. Methods. A total of 120 CKD patients who received kidney plain scan plus enhanced examination in the CT room of the Medical Imaging Department of our hospital from June 2019 to September 2019 were selected and randomly divided into the experimental group (n = 60) and the control group (n = 60). Patients in the control group received the conventional CT plain scan and enhanced scan, and for patients in the experimental group, CT plain scan was performed first, the range of 640‐slice CT dynamic volume scan was determined, and after bolus injection of contrast agent, dynamic volume scan was performed for scanning in the cortical phase, myeloid phase, and secretory phase. The imaging quality and effective scanning dose were compared between the two modalities, and the relationship between CT values obtained from 640‐slice CT scan and conventional CT scan and the renal impairment was analyzed. Results. Compared with the control group, the image quality of 640‐slice CT scan conducted in the experimental group was significantly better (P < 0.05); the effective radiation doses of the experimental group and the control group were, respectively, (1.89 ± 0.32) mSv and (3.26 ± 0.47) mSv, indicating that the dose was significantly lower in the experimental group than in the control group (t = 18.664, P < 0.001), and the correlation analysis showed that the relationship between the sum of CT values in the cortical phase of both kidneys and kidney injury in the experimental group was r = 0.835, P < 0.001. Conclusion. Both 640‐slice CT kidney scan and conventional CT scan can be used in the diagnosis of CKD. 640‐slice CT has a lower radiation dose, better image quality, and higher application value.
Novel Particle Swarm Optimization Guidance for Hypersonic Target Interception with Impact Angle Constraint
Authors: He Fan , Chen Weiyi , Bao Yang
Published: August 2022

Considering that the terminal impact angle constraint can improve the interception performance of hypersonic target, a novel particle swarm optimization guidance (NPSOG) algorithm is proposed to satisfy the impact angle constraint. Two-dimensional dynamics engagement mode for hypersonic target interception is formulated. The performance index is positively correlated with the line-of-sight (LOS), LOS rate, and the relative distance between missile and target. The weight coefficients among the three are adaptively adjusted by the fuzzy logic controller. The particle swarm optimization (PSO) algorithm is utilized to generate the guidance commands. Numerical examples are given to verify the performance of the proposed guidance law in various engagement scenarios, and the performance of the algorithm is validated comparing with several heuristic guidance methods and nonheuristic guidance methods.
Application of Neural Network Sample Training Algorithm in Regional Economic Management
Authors: He Yan
Published: August 2022

In order to solve the limitations of the traditional method of determining expert weights in AHP and improve the level of the regional economy, this paper proposes a neural network algorithm based on AHP. This paper first calculates the interest correlation coefficient among experts, then obtains the comprehensive evaluation value of all experts according to the evaluation value matrix, and then determines the evaluation weight of each expert in the expert group. Finally, the comprehensive weight of each index is obtained by weighting the index weight obtained from the traditional AHP and the expert evaluation weight. Then, the evaluation value obtained by the improved AHP is used as a prior sample to train and test the BP neural network, and a classifier that can be popularized is obtained. The experimental results show that the overall evaluation value of circular economy of 9 construction enterprises is at a medium level, only 2 enterprises have an evaluation value of more than 50, and one enterprise has an evaluation value of only 35, indicating that the overall implementation of circular economy of these 9 construction enterprises is still at a low level, with great room for development and improvement. Conclusion. The economic management method based on a neural network algorithm can make the evaluation results more accurate and reliable and has high popularization and application value.
A Preliminary Study on the Value of Intestinal Flora in Predicting Major Adverse Cardiovascular and Cerebrovascular Events in Patients with Refractory Hypertension
Authors: Jiao Jie , Zhang Yeping , Han Pengda , Zhai Shuya
Published: August 2022

Objective. To investigate the value of intestinal flora in predicting major adverse cardiovascular and cerebrovascular events (MACCE) in patients with refractory hypertension (RH). Methods. 359 patients with RH hospitalized in our hospital from April 2020 to March 2021 were followed up for 1 year and selected for the study. These patients were divided into a MACCE group and no-MACCE group. Results were analyzed by comparing general information, the abundance of intestinal flora at the phylum level, and the abundance of intestinal flora at the species level between the two groups. The influence factors related to MACCE were evaluated using multifactor logistic regression analysis, and the value of intestinal flora in predicting MACCE was determined using receiver operating characteristic (ROC) and the area under ROC (AUC). Results. Systolic blood pressure was higher in the MACCE group than in the no-MACCE group (

P
<
0.05

). The abundances of Actinomycetes and Verrucomicrobia were higher in the MACCE group than in the no-MACCE group, while unnamed viruses were the opposite (

P
<
0.05

). The abundances of Eubacterium eligens, Akkermansia muciniphila, Prevotella stercorea, and Eubacterium rectale were lower in the MACCE group than in the no-MACCE group, while Escherichia coli, Clostridium hathewayi, and Ruminococcus gnavus were opposite (

P
<
0.05

). Systolic blood pressure, Actinomycetes, unnamed viruses, Verrucomicrobia, Eubacterium eligens, Akkermansia muciniphila, Prevotella stercorea, Eubacterium rectale, Escherichia coli, Clostridium hathewayi, and Ruminococcus gnavus were closely associated with MACCE in RH patients (

P
<
0.05

). In addition, Akkermansia muciniphila had the highest AUC among the single indicator but was still lower than the AUC of the combined detection. Conclusion. The increases of Actinomycetes, Verrucomicrobia, Escherichia coli, Clostridium hathewayi, and Ruminococcus gnavus and the decreases of unnamed viruses, Eubacterium eligens, Akkermansia muciniphila, Prevotella stercorea, and Eubacterium rectale were associated with MACCE in RH patients, and the combined detection may provide a method and idea for predicting and preventing MACCE.
Analysis on the Influence of Urban and Rural Economic Differentiation on the Development of Art Design Teaching
Authors: Wang Yike , Zhang Lingling
Published: August 2022

Art design education in China has nearly 30 years of development history. Due to China’s vast territory, a large population, regional economic development, and social resources are extremely unbalanced, resulting in the uneven development of art design education in various regions. Art design is not only a practical and artistic comprehensive discipline, it also spans more majors. It contains almost all aspects of urban and rural construction, beautification, so its scientific and effective design scheme indirectly affects the future development process of urban and rural economy. First, this paper analyzes the impact of urban and rural economic development on art design teaching. The research results show that it has a great influence and a wide range of influence on art design teaching, including enhancing the naturalness of art discipline, promoting the creativity of art design discipline, and promoting the historicity of art discipline. Second, this paper also analyzes the role of art design in promoting regional economic development. For example, we should make full use of regional cultural differences, expand regional historical elements, pay attention to art design talents, and ensure the supply of funds.