bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation of Antioxidant Potential of Commercial Cinnamon Samples and Its Vasculature Effects
Authors: Moreno Emily K. G. , de Macêdo Isaac Y. L. , Batista Erica A. , Machado Fabio B. , Santos Gabrielle R. , Andrade Daniela M. L. , Rocha Matheus L. , Lima Nerilson M. , Vaz Boniek G. , Gil Eric S.
Published: March 2022

Growing concerns on free radicals are the oxidative processes associated with physiological damage. The consumption of functional foods and use of plants with antioxidant capacity are widespread. Given the importance of determining antioxidant capacity in relation to the therapeutic effect, this study was aimed at evaluating cinnamon extract (Cinnamomum sp.) in commercial samples by spectrophotometric and voltammetric methods and assessing the vascular activity of some samples. The spectrophotometric methods performed were DPPH (1,1-diphenyl-2-picrihydrazine), ABTS (2,21-azinobis-(3-ethylbenzothiazoline-6-sulfonic acid)), and Folin-Ciocalteu radical sequestration assays. For the electrochemical experiments, a three-electrode system was used, consisting of carbon paste electrode, platinum wire, and Ag/AgCl/KClsat, representing the working, auxiliary, and reference electrodes, respectively. The electroanalytical methods used were differential pulse, square wave, and cyclic voltammetries. The extracts were prepared in hydroalcoholic solution. A calibration curve with gallic acid was calculated to quantify their equivalent amounts in the analyzed extract. The correlation between the electrochemical approach and the total phenols calculated by the ABTS, DPPH, and Folin-Ciocalteu methods was 0.63, 0.7, and 0.73, respectively, with 1 being an ideal directly proportional correlation. The correlation between spectrophotometric methods was 0.83. A biosensor was developed in a carbon paste electrode using the enzyme laccase, obtained by the fungus Marasmiellus colocasiae. It was observed that the antioxidant profile of the cinnamon samples had an analytical sign improvement of up to 4 times when compared with the electrode without the modification. The samples were analyzed by mass spectrometer, and the main chemical markers found were coumarin, cinnamaldehyde, and eugenol. Pharmacological trials showed that these samples also induce a significant vasorelaxant effect associated to antioxidant potential on vascular injury induced by oxidative stress. Thus, cinnamon showed a high antioxidant capacity, in agreement with the results obtained in other studies, emphasizing its importance as a functional food.
Exosomes Derived from Gold Nanorod Engineered Vascular Endothelial Cells Inhibit Tumor Growth via Disrupting the TGFβ Pathway
Authors: Zhu Weiye , Zhang Rui , Zhao Zichang , Zhao Na , Gui Xiao , Cui Xiao , Shen Ni , Zhao Jiawei , Gao Guangping , Zhang Haorui , Huan Chenyang , Zhou Yukun , Li Yanjie , Zhang Jianhua , Song Hongyuan , Shen Wei
Published: March 2022

Exosomes are nanosized extracellular vesicles which are emerging as novel therapeutic nanoparticles. This paper reports a novel concept of engineering exosomes using nanomaterial inside the vascular endothelial cells (ECs). Gold nanorods (GNRs) could inhibit EC division and internalized GNRs located in endosomes of binucleated ECs. The GNRs could alter the composition of bioactive molecules loaded in exosomes. The engineered EC‐derived exosomes could inhibit tumor cell proliferation, migration, and invasion in vitro and suppress tumor growth in vivo. miRNA sequencing showed that the engineered exosomes contained various miRNAs that could disrupt the TGFβ pathway. Further data suggested that the engineered exosomes could suppress the expression of TGFβ1 and TGFβ2, thus inhibiting the activation of SMAD2 and SMAD3. These data highlighted the therapeutic potential of engineering exosomes using nanomaterials.
Development of a Model System to Study Expression Profile of RAC2 Gene in Breast Cancer MDA-MB-231 Cell Line
Authors: Sivakumar Harish Thogulva , Ramesh Babu Polani , Shrestha Anupama , Balasubramanian Balamuralikrishnan , Chinnathambi Arunachalam , Ali Alharbi Sulaiman
Published: March 2022

The RAC2 gene encoding GTPases involve cellular signaling of actin polymerization, cell migration, and formation of the phagocytic NADPH oxidase complex. Oncogenic mutations in the RAC2 gene have been identified in various cancers, and extensive research is in progress to delineate its signaling pathways and identify potential therapeutic targets in breast cancers. This paper explored developing a bioinformatics model system to understand the RAC2 gene expression pattern concerning estrogenic receptor status in breast cancers. We have used the MDA-MB-231 breast cancer cell line to identify RAC2 gene expression. To simplify the development of model system with one dataset, we retrieved the microarray dataset GSE27515 from the Gene Expression Omnibus (GEO) for the differential gene expression analysis. Then, network analysis, pathway enrichment analysis, volcano plot, ORA, and the up/downregulated genes were used to highlight genes involved in signaling network pathways. We observed that the RAC2 gene is upregulated in the GSM679722, GSM676923, and GSM679724 downregulated in the samples GSM676925, GSM676926, and GSM676927 from the GEO dataset. Our observation found that the RAC2 gene is upregulated in the estrogen receptor (ER) negative breast cancers and downregulated in ER-positive breast cancer, involving pathways such as focal adhesion, MAPK signaling, axon guidance, and VEGF signaling pathway.
Oxidative Stress and 4-hydroxy-2-nonenal (4-HNE): Implications in the Pathogenesis and Treatment of Aging-related Diseases
Authors: Li Yanling , Zhao Tingting , Li Jiaxin , Xia Mengyao , Li Yuling , Wang Xiaoyu , Liu Chuanguo , Zheng Tingting , Chen Renjie , Kan Dongfang , Xie Yicheng , Song Jingjie , Feng Yu , Yu Tiangui , Sun Peng
Published: March 2022

Oxidative stress plays an important role in the development of aging-related diseases by accelerating the lipid peroxidation of polyunsaturated fatty acids in the cell membrane, resulting in the production of aldehydes, such as malondialdehyde and 4-hydroxy-2-nonenal (4-HNE) and other toxic substances. The compound 4-HNE forms adducts with DNA or proteins, disrupting many cell signaling pathways including the regulation of apoptosis signal transduction pathways. The binding of proteins to 4-HNE (4-HNE-protein) acts as an important marker of lipid peroxidation, and its increasing concentration in brain tissues and fluids because of aging, ultimately gives rise to some hallmark disorders, such as neurodegenerative diseases (Alzheimer’s and Parkinson’s diseases), ophthalmic diseases (dry eye, macular degeneration), hearing loss, and cancer. This review aims to describe the physiological origin of 4-HNE, elucidate its toxicity in aging-related diseases, and discuss the detoxifying effect of aldehyde dehydrogenase and glutathione in 4-HNE-driven aging-related diseases.
The Efficacy of Mirabegron in Medical Expulsive Therapy for Ureteral Stones: A Systematic Review and Meta-Analysis
Authors: Cai Dawei , Wei Guangzhu , Wu Peishan , Huang Yongjin , Che Xuanyan , Zhang Yong , Zhou Zhongbao , Kong Guangqi
Published: March 2022

Background. This study aimed to assess the efficacy of mirabegron (50 mg daily) as a medical expulsive therapy for ureteral stones in adults. Materials and Methods. We searched PubMed, Embase, Cochrane Library, and Web of Science from inception to July 2021 to collect the clinical trials. Two reviewers independently screened literature, extracted data, and assessed the risk of bias of included studies by using the Cochrane risk of bias tool. Review Manager 5.3 software was used for the meta-analysis. Results. A total of four studies were included, involving 398 patients: 197 patients in mirabegron group and 201 patients in control group. The meta-analysis showed that the stone expulsion rate was higher in the mirabegron group than in the control group (OR: 2.12; 95% CI: 1.33 to 3.40;

p
=
0.002

). Subgroup analysis identified that the stone expulsion rate of patients with stone size <5/6 mm was significantly higher than that of patients with stone size ≥5/6 mm (OR: 0.31; 95% CI: 0.13 to 0.72;

p
=
0.006

). But no significant difference was identified between the mirabegron group and the control group for the stone expulsion interval (MD: −1.16, 95% CI: −3.56 to 1.24;

p
=
0.35

). In terms of pain episodes, the mirabegron group was significantly lower than that of the control group (MD: −0.34, 95% CI: −0.50 to 0.19;

p
<
0.0001

). Conclusions. The medical expulsive therapy with mirabegron had a significant effect in improving the stone expulsion rate for patients with ureteral stones, especially in those whose stone size <5/6 mm. Mirabegron had no effect on the stone expulsion interval but did decrease the pain episodes.
Unmanned Aerial Vehicle Surveying and Mapping Trajectory Scheduling and Autonomous Control for Landslide Monitoring
Authors: Liao Shifang , Ye Manzhu , Yuan Rongcai , Ma Wanzhi
Published: March 2022

Real-time and efficient monitoring of geological disasters has received extensive attention in the application of UAV surveying and mapping control technology. The application of traditional landslide monitoring methods lacks the accuracy of control algorithms, which has become a hot issue currently facing. Based on the landslide surface subsidence monitoring method, this article designs the UAV trajectory scheduling subsidence monitoring software, which can monitor the UAV’s flight status and navigation information, and draw the flight trajectory in real time. At the same time, the model solves the problem of storage and management of landslide inspection results by the landslide inspection management system, and realizes the functions of entering and querying landslide information, viewing inspection results, landslide safety judgment, generating reports, and autonomous control. The simulation results show that the global accuracy reaches 0.975, and the algorithm recognition degree reaches 99.8%, which promotes the reliability of the landslide monitoring data for the identification of the surveying and mapping trajectory, and provides a decision-making basis for landslide treatment.
The Effects of Axitinib plus Tislelizumab in the Treatment of Advanced Renal Cell Carcinoma
Authors: Wang Zhixin , Chen Jiaqi , Li Qianyu , Li Na , Yu Jing , Liu Feng
Published: March 2022

Objective. To study and analyze the clinical efficacy of axitinib combined with tislelizumab in the treatment of advanced renal cell carcinoma and its effects on renal function and serum cytokines. Methods. Totally 49 patients with advanced renal cancer treated in our hospital from November 2018 to January 2020 were randomized to treatment with axitinib (control group, n = 27) or axitinib combined with tislelizumab (study group, n = 22). The clinical efficacy, renal function and adverse reactions were compared between the two groups. Results. After treatment, both groups showed a significant decrease in blood urea nitrogen (BUN) and serum creatinine (SCR), but treatment with axitinib plus tislelizumab led to a significantly greater reduction than did the axitinib (each

p
<
0.05

). After treatment, both groups showed a significant decrease in TNF-β1, VEGF, TIMP-1, and MMP-2, but treatment with axitinib plus tislelizumab led to a significantly greater reduction than did the axitinib (each

p
<
0.05

). The study group had significantly higher rates of adverse reactions (

p
<
0.05

). Significant difference was observed in ORR (59.1% vs 40.7%) and DCR (81.8% vs 66.7%) between the study group and the control group, with higher results in study group (

p
<
0.05

). The study group was superior to the control group in OS (

p
<
0.05

). Conclusion. Our study presents an effective alternative for advanced renal cell carcinoma by using axitinib plus tislelizumab. Limitations merit attention, and the study group had higher rates of adverse reactions. Therefore, further studies are suggested to secure a larger population of subjects.
Characterizing the Aging Process of the Human Eye: Tear Evaporation, Fluid Dynamics, Blood Flow, and Metabolism‐Based Comparative Study
Authors: Rahman Md Ashiqur , Rabbani Mamun , Maruf Md Hasan , Islam Aminul , Shihavuddin A. S. M.
Published: March 2022

Eye temperature and intraocular pressure are two measurable parameters that can be monitored as a health index with aging. Deviations from the normal range of intraocular pressure and temperature lead to the formation of many diseases. This study has been carried out to evaluate the relations between the physiological and anatomical changes of the eye with aging using mathematical modeling. 2D computer‐aided design of the human eye has been developed for two major groups: 21 to 30 years and 41 to 50 years. The computer simulation has been carried out to determine the effects of physiological changes of tear evaporation, fluid dynamics, blood flow, and metabolism of eye tissues with aging. The simulation has been carried out in the standing and the supine position of a human body. The rate of temperature change is – 0.0075 K per year in the standing position and – 0.007 K per year in the supine position because of the modeled anatomical and physiological effects. All the three simulation parameters of this study, the temperature of the human eye, the intraocular pressure, and the aqueous humor flow velocity, have been compared with the recent practical and simulation‐based experiments to validate our results.
Duration of of Low-Temperature Storage, Clove Topping and Gibberellic Acid on Emergence, Yield and Yield Components of Garlic
Authors: Desta Bizuayehu , Woldetsadik Kebede , Mohammed Wassu , Tena Netsanet
Published: March 2022

Dormancy of freshly harvested garlic cloves does not allow early emergence, and preplanting garlic clove treatment is critical for more than one cycle of production in a year. This field experiment was conducted to assess the effect of treating cloves on emergence, growth, and yield of “Tseday” variety during the main cropping season of 2014/2015 and off-season of 2015/16 at Haramaya University. The experiment was arranged in a factorial combination of four (cold stored at 7°C for the duration of 10, 20, and 30 days and stored at room temperature 21°C for 30 days as control), two (whole and topped clove), and four GA3 treatment at concentration of 0, 125, 250, and 375 mg/l and distilled water treatment as second control laid out in randomized complete block design with three replications. The three main factors (clove type, cold storage duration, and GA3) and growing season showed significant influence on phenology, growth, bulb yield and yield components, and all size categories of cloves, while GA3 showed nonsignificant effect on days to emergence of cloves. Clove type interacted with cold storage duration and GA3, and cold storage duration interacted with GA3 significantly to influence all characters of the variety. In addition, the growing season also interacted with clove type and GA3 to influence all categories of clove size, bulb diameter, average bulb weight, and total bulb yield. The three main factors (clove type × cold storage duration × GA3) interaction significantly influenced all characteristics of the variety. However, 30 days of cold-stored and topped cloves reduced dormancy period and days to maturity by 18.84 and 19.50 days, respectively, and increased total bulb yield by 70.32% as compared to the control treatment. In addition, this treatment combination significantly increased most of the growth and bulb yield components, while the number and weight of small-sized cloves were decreased. Hence, it can be concluded that 30 days of cold storage and topping of cloves without soaking under GA3 could be recommended to enhance early emergence, good vegetative growth, and total bulb yield of the garlic variety both under rain-fed and irrigated conditions.
Identification of Influencing Variables on Improving Resilience of High-Speed Railway System
Authors: Zhang Xicheng , Zhang Na , Zhao Chao , Yu Haizhe , Deng Xiaopeng
Published: March 2022

In recent years, frequent natural disasters have brought great challenges to the stable operation of the high-speed railway (HSR). Improving the resilience of the HSR system is an urgent problem to be solved. This study aims to explore how to improve the resilience of the HSR system. Based on an in-depth literature review and case study, 11 variables and 15 hypothetical paths were proposed. Then the questionnaires were distributed to professionals from academia and industry. A total of 270 valid responses were received. Finally, the structural equation model was used to evaluate these variables’ influence degree and their influence path. The results indicated that the infrastructure components (i.e., quality control and equipment operation and maintenance) play a positive role in the persistence ability. The organizational operation and maintenance components (i.e., organizational structure and organizational efficiency) promote the speed of function restoration. The interactive system components (i.e., technical system and system operation and maintenance) also have a positive effect on adaptability and transformability. The three components of HSR system play a positive role in different resilience attributes (i.e., persistence ability, function restoration, adaptability, and transformability), which further positively impacts the effectiveness of improving resilience. Based on the accepted hypothetical paths, five strategies for improving resilience were discussed, such as a certain degree redundancy of key organizations or members, encouragement of self-organized decision-making, and establishment of the “health records” of each HSR line. This study would enrich the theoretical system of resilience and help practitioners better understand the influencing variables and influencing paths of the resilience of the HSR system.
Computer Analysis and Automatic Recognition Technology of Music Emotion
Authors: Xiang Yuehua
Published: March 2022

With the rapid development of the related computer industry, the use of computer-related technologies has become more and more frequent. The music industry is no exception. The research and analysis of music emotions has been a problem since ancient times. Due to the diversification of music emotions, people with different music in the same piece of music will have different feelings. The research topic of this article is to make a comprehensive analysis of the computer’s automatic identification technology, combined with the powerful subcapacity of the computer, so that the research on music emotion can be developed rapidly. The article analyzes the technical research of the automatic recognition and analysis of music emotion in the computer, and conducts a comprehensive analysis of the music emotion through the research of the computer-related automatic recognition technology. This paper focuses on the computer automatic recognition model of music emotion, and successfully realizes the design and simulation of the automatic recognition system based on the MATLAB platform. An automatic identification model using BP neural network algorithm is proposed. By comparing it with the statistical classification algorithm, the experimental results verify the effectiveness of the designed BP network in music emotion recognition.
A Novel Prognostic Model Based on Seven Necroptosis‐Related miRNAs for Predicting the Overall Survival of Patients with Lung Adenocarcinoma
Authors: Hong Xiaohua , Wang Guangyao , Pei Kai , Mo Chunmei , Rong Zhen , Xu Guanglan
Published: March 2022

Lung adenocarcinoma (LUAD) remains one of the leading causes of cancer‐related deaths worldwide. This study is aimed at constructing a risk scoring model based on necroptosis‐related miRNAs to predict prognosis of LUAD. Expression profile of miRNA in LUAD was downloaded from The Cancer Genome Atlas (TCGA) database. We screened the differentially expressed necroptosis‐related miRNAs between LUAD patients and normal samples, thus constructed a seven miRNA‐based risk stratification on the basis of the TGCA cohort. This risk stratification was prove to be effective in predicting the overall survival (OS) of patients with LUAD. Furthermore, we constructed a nomogram model based on the combination of risk characteristics and clinicopathological features, which was also prove to be accurate and efficient in predicting OS of LUAD patients. Functional enrichment analyses on the targeted genes of these miRNAs with prognostic value were carried out. Results indicated that these targeted genes were closely related to the development and metastasis of tumors. In summary, our research has developed a prognostic model based on the expression of miRNAs related to necroptosis. This model might be used to predict the prognosis of LUAD accurately, which might be helpful in improving treatment efficacy of LUAD.
Detection and Prediction of HMS from Drinking Water by Analysing the Adsorbents from Residuals Using Deep Learning
Authors: Suman Sanjay Kumar , Arivazhagan N. , Bhagyalakshmi L. , Shekhar Himanshu , Shanmuga Priya P. , Helan Vidhya T. , Jagtap Sushma S. , Mohammad Gouse Baig , Chikte Shubhangi Digamber , Chandragandhi S. , Yeshitla Alazar
Published: March 2022

Contamination HM is an important issue associated with the environment, and it requires suitable steps for the reduction of HMs in water at an acceptable ratio. With modern technologies, this could be possible by enabling the carbon adsorbents to adsorb the pollutions via deep learning strategies. In this paper, we develop a model on detection and prediction of presence of HMs from drinking water by analysing the adsorbents from residuals using deep learning. The study uses dense neural networks or DenseNets to analyse the microscopic images of the residual adsorbents. The study initially preprocesses and extracts features using standardised procedure. The DenseNets are used finally for detection purpose, and it is trained and tested with standard set of microscopic images. The experimental results are conducted to test the efficacy of the deep learning model on detecting the HM composition. The results of simulation show that the proposed deep learning model achieves 95% higher rate of detecting the HM composition from the adsorption residuals than other methods.
Addressing the Real World Problem of Managing Wireless Communication Systems Using Explainable AI-Based Models through Correlation Analysis
Authors: Surya S. , Gupta Sumeet , Mehbodniya Abolfazl , Panduro-Ramirez Jeidy , Kapula Prabhakara Rao , Alam Tanweer , Kaliyaperumal Karthikeyan
Published: March 2022

In a general parlance, wireless communication tends to be investigated based on the available methods that support enhancing the optimized data link, especially the software-based methods. AI is mainly used to create and design efficient communication network systems and variable node locations. The major factors impacting wireless communications in the current context are enhanced channel frequency, efficiency of using the bandwidth, and modulation type. The software-defined ratio enables collecting the information and analyzing the overall signal-related components and processing them in real-time situations. This will support in detecting unnecessary information and identifying latency at each stage of communication. The study is intended to measure the influence of critical factors in enhancing the overall management of wireless communication systems through the application of AI technologies. The researchers used the questionnaire method in order to collect the data from the respondents and enable them to analyze the data using the SPSS data package.
Analysis of the Fuzzy Fractional‐Order Solitary Wave Solutions for the KdV Equation in the Sense of Caputo‐Fabrizio Derivative
Authors: Naeem Muhammad , Rezazadeh Hadi , Khammash Ahmed A. , Shah Rasool , Zaland Shamsullah
Published: March 2022

In this paper, we construct a system for analysis of an analytic solution of fractional fuzzy solitary wave solutions for the Korteweg–De Vries (KdV) equation. We apply the iterative method and the Laplace transform under the fractional Caputo‐Fabrizio operator. The obtained series form the solution was calculated and approached the estimate values of the proposed problems. The upper and lower portions of the fuzzy result in all three problems were simulation applying two different fractional order among zero and one. The fractional operator is nonsingular and global since the exponential function is present. It provides all types of fuzzy results occurring among zero and one at any fractional order because its dynamic behaviour is globalised of the suggested problems. Because the fuzzy number provides the result in a fuzzy form, with lower and upper branches, fuzziness is also incorporated in the unknown quantity.
Steep End-Slope Mining and Slope Stability of Extremely Thick Inclined Coal Seam Open-Pit Mine
Authors: Wang Zhile , Tian Ya , Zhou Wei , Liu Ziyu , Lu Xiang , Kong Ruiqian
Published: March 2022

Considering the characteristics of extremely thick inclined open-pit coal mine with large amount under end slope, large end-slope height, and long exposure time, it is important to study the slope stability research during open-pit mining. This study takes the whole process of excavation descending and steep end-slope mining of an extremely thick inclined open-pit mine as the background. The slope stability factor of the end slopes were calculated for each stage of mining with different coal seam thicknesses by using the strength reduction method. The slope data, such as vertical stress, horizontal stress, and increment of maximum shear strain, are analyzed. The results show that the vertical stress and stability factor are decreasing throughout the mining stage. The horizontal stress shows a pattern of increasing and then decreasing in the excavation descending and steep end-slope mining. The greater the thickness of coal seam, the less the stability of the slope.
Arithmetic Optimization with RetinaNet Model for Motor Imagery Classification on Brain Computer Interface
Authors: Malibari Areej A. , Al-Wesabi Fahd N. , Obayya Marwa , Alkhonaini Mimouna Abdullah , Hamza Manar Ahmed , Motwakel Abdelwahed , Yaseen Ishfaq , Zamani Abu Sarwar
Published: March 2022

Brain Computer Interface (BCI) technology commonly used to enable communication for the person with movement disability. It allows the person to communicate and control assistive robots by the use of electroencephalogram (EEG) or other brain signals. Though several approaches have been available in the literature for learning EEG signal feature, the deep learning (DL) models need to further explore for generating novel representation of EEG features and accomplish enhanced outcomes for MI classification. With this motivation, this study designs an arithmetic optimization with RetinaNet based deep learning model for MI classification (AORNDL-MIC) technique on BCIs. The proposed AORNDL-MIC technique initially exploits Multiscale Principal Component Analysis (MSPCA) approach for the EEG signal denoising and Continuous Wavelet Transform (CWT) is exploited for the transformation of 1D-EEG signal into 2D time-frequency amplitude representation, which enables to utilize the DL model via transfer learning approach. In addition, the DL based RetinaNet is applied for extracting of feature vectors from the EEG signal which are then classified with the help of ID3 classifier. In order to optimize the classification efficiency of the AORNDL-MIC technique, arithmetical optimization algorithm (AOA) is employed for hyperparameter tuning of the RetinaNet. The experimental analysis of the AORNDL-MIC algorithm on the benchmark data sets reported its promising performance over the recent state of art methodologies.
A Deep Learning Radiomics Analysis for Survival Prediction in Esophageal Cancer
Authors: Wang Junxiu , Zeng Jianchao , Li Hongwei , Yu Xiaoqing
Published: March 2022

The purpose of this study was to explore the deep learning radiomics (DLR) nomogram to predict the overall 3-year survival after chemoradiotherapy in patients with esophageal cancer. The 154 patients’ data were used in this study, which was randomly split into training (116) and validation (38) data. Deep learning and handcrafted features were obtained via the preprocessing diagnostic computed tomography images. The selected features were used to construct radiomics signatures through the least absolute shrinkage and selection operator (LASSO) regression, maximizing relevance while minimizing redundancy. The DLR signature, handcrafted features’ radiomics (HCR) signature, and clinical factors were incorporated to develop a DLR nomogram. The DLR nomogram was evaluated in terms of discrimination and calibration with comparison to the HCR signature-based radiomics model. The experimental results showed the outperforming discrimination ability of the proposed DLR over the HCR model in terms of Harrel’s concordance index, 0.76 and 0.784, for training and validation sets, respectively. Also, the proposed DLR nomogram calibrates and classifies better than the HCR model in terms of AUC, 0.984 (vs. 0.797) and 0.942 (vs. 0.665) for training and validation sets, respectively. Furthermore, the nomogram-predicted Kaplan–Meier survival (KMS) curves differed significantly from the nonsurvival groups in the log-rank test (

p

value <0.05). The proposed DLR model based on conventional CT images showed the outperforming performance over the HCR signature model in noninvasively individualized prediction of the 3-year survival rate in esophageal cancer patients. The proposed model can potentially provide prognostic information that guides and helps the clinical decisions between observation and treatment.
A Class of Koszul Algebra and Some Homological Invariants through Circulant Matrices and Cycles
Authors: Nadeem Muhammed , Jaradat Mohammed M. M. , Siddique Imran , Ali Muhammad Arfan , Ahsan Muhammad , Sindhu Muhammad Sarwar
Published: March 2022

Recent advances in graph theory, linear algebra, and commutative algebra render us to tackle problems in one bough of mathematics with assistance and guidance from others. We will elaborate foremost and conceptually fathomless homological invariants inextricably linked with circulant matrices and cycles through various path lengths in this article, as well as a class of Koszul algebra, which portrays combinatorial correlation, in the end.
A New Stress Monitoring Method for Mechanical State of Buried Steel Pipelines under Geological Hazards
Authors: Li Xinze , Wu Qingbai , Jin Huijun , Kan Wei
Published: March 2022

Long-distance pipelines are threatened by a variety of natural geological hazards. A stress monitoring system driven by the strain-stress solution algorithm was proposed; it can achieve real-time maximum axial stress measurement by installing vibrating wire gauges (VWGs) on the surface of the pipe. To verify the effectiveness of the algorithm, a large-scale pipe mechanical loading experiment combined with a finite element model (FEM) was conducted. The results show that VWGs were reliable with a relative error of 1.19%∼7.98% compared with resistance strain gauges (SGs). The FEM was also reliable with a maximum relative error of 4.04% compared with theoretical analysis. When the reasonable combination modes of VWGs were chosen utilizing the least square method, the error of the pipe stress detection algorithm could be controlled within the range of −13.33∼16.66%. This pipeline stress monitoring technology can meet the requirement of 24-hour dynamic monitoring of the underground pipeline’s mechanical state, realizing the early warning of geohazards.
miR-30c Increases the Intracellular Survival of Helicobacter pylori by Inhibiting Autophagy
Authors: Deng Qiuhua , Xu Yifei , Zhong Yuanzun , Tang Liyao , Du Si , Yang Jiongming , Wu Lingping , Guo Shaoju , Huang Bin , Cao Hongying , Huang Ping
Published: March 2022

Persistent Helicobacter pylori infection causes a variety of gastrointestinal diseases and even gastric cancer. H. pylori invades gastric epithelial cells to survive and proliferate, which is one of the key factors in persistent colonization. A Published study has confirmed that cells can eliminate intracellular H. pylori through xenophagy to maintain intracellular balance. However, a growing body of evidences indicate that H. pylori can inhibit xenophagy by miRNA through regulating the expression of key autophagy-related genes. Through western blot analysis, mRFP-GFP-LC3 transfection assay, and transmission electron microscopy, we found that H. pylori infection obstructed autophagy flux degradation stage in GES-1 cell lines. Gentamicin protection assay confirmed that inhibit xenophagy is benefit for intracellular H. pylori survive. miR-30c-1-3p and miR-30c-5p were upregulated in GES-1 cell lines after infecting with H. pylori, resulting in the negative regulation on xenophagy. Further studies through bioinformatics analysis and dual-luciferase reporter assays confirmed that ATG14 and ULK1 were the target genes of miR-30c-1-3p and that ATG12 was the target gene of miR-30c-5p. The overexpression of miR-30c-1-3p and miR-30c-5p reduces the expression of ATG14, ULK1, and ATG12 at mRNA level and also decreased intracellular H. pylori elimination in GES-1 cells. The above results suggested that the inhibition on xenophagy by miR-30c-1-3p and miR-30c-5p through ATG14, ULK1, and ATG12 targeting benefitted intracellular H. pylori in the evasion of xenophagy clearance.
Research on Sports Dance Movement Detection Based on Pose Recognition
Authors: Tang Tang , Hyun-Joo Min
Published: March 2022

In view of the poor effect of current sports dance movement detection, this paper puts forward a sports dance movement detection method based on posture recognition. By using the principle of posture recognition to obtain the characteristic information of sports dance movement, construct the action characteristic evaluation system, optimize the action detection algorithm combined with posture recognition technology, and realize the classified detection of sports dance movements. Finally, experiments show that the sports dance movement detection based on pose recognition has high practicability and effectiveness in the process of practical application and fully meets the research requirements.
Knowledge, Attitude, and Practices (KAP) Regarding Meat Safety and Sanitation among Carcass Handlers Operating and Assessment of Bacteriological Quality of Meat Contact Surfaces at the Marrakech Slaughterhouse, Morocco
Authors: Bahir Mohammed Amine , Errachidi Ikram , Hemlali Mouhssine , Sarhane Bouchaib , Tantane Asmae , Mohammed Alami , Belkadi Bouchra , Filali-Maltouf Abdelkarim
Published: March 2022

According to the Moroccan Court of Auditors, the meats are prepared in slaughterhouses that do not meet the basic conditions required by Moroccan standards. This survey is being conducted to assess the knowledge, attitudes, and practices of handlers regarding the salubrity and hygiene of meat and to evaluate the bacteriological load of work surfaces in a slaughterhouse located in the Marrakech region. A total of 100 people working at the slaughterhouse participated in the study. The average values concerning the attitude and practice of the carcass handlers were, respectively, very satisfactory (65.7%) and acceptable (53.44%), while the average value of knowledge was generally low (39%). Bacterial load was assessed by the serial dilution method using the standard procedure. Seventy samples were taken from the hands of manipulators, knives, clothes, hooks, door handles, floor, and walls over an area of between 20 and 100 cm2. The total number of aerobic mesophiles (TAVCs), Escherichia coli, Staphylococcus aureus, Pseudomonas aeruginosa, and Salmonella spp was determined for each sample. Escherichia coli was the predominant isolate (42%), while Salmonella spp and Pseudomonas aeruginosa were the least bacterial isolates with 16% and 14%, respectively. Walls and knives were the most contaminated by E. coli at 90%. This survey reveals the importance of developing formal training for all slaughterhouse handlers regarding meat hygiene and safety during carcass processing to develop their knowledge and practices. Bacteriological results indicate a need to improve the available slaughter facilities and develop an appropriate slaughter process strategy to minimize the risk of carcass contamination.
Adjacent Segment Degeneration after Short‐Segment Lateral Lumbar Interbody Fusion (LLIF)
Authors: Ouchida Jun , Nakashima Hiroaki , Kanemura Tokumi , Matsubara Yuji , Satake Kotaro , Muramoto Akio , Ito Kenyu , Tsushima Mikito , Morozumi Masayoshi , Segi Naoki , Morita Yoshinori , Imagama Shiro
Published: March 2022

Purpose. To investigate the influence on the adjacent segment degeneration (ASD) of short‐segment lateral lumbar interbody fusion (LLIF) at 2 years postoperatively. Methods. Ninety‐seven consecutive patients who underwent one‐ or two‐level LLIF were included from two institutions. We diagnosed radiographical adjacent segment degeneration with the appearance of adjacent spondylolisthesis (>3 mm) or deterioration of adjacent disk height (>3 mm) on plain radiographs or decrease of the intervertebral angle (>5 degrees). The differences between the two groups with and without radiographical ASD were investigated using univariate and multivariate analyses to determine the risk factors for ASD. The variables included extent of adjacent decompression, posterior fixation method (open method or percutaneous method), and facet violation on postoperative CT. Results. In total, 19 patients (19.6%) were diagnosed as radiographical ASD 2 years after surgery. Univariate analysis showed that the ASD (+) group had a high frequency of adjacent decompression (21.1 vs. 3.8%, p = 0.035) compared with the ASD (‐) group. There were no differences between the two groups in posterior fusion method (percutaneous method 42.1 vs. 57.7%, p = 0.221) or facet joint violation (15.8 vs. 14.1%, p = 0.860). The multivariate analysis found adjacent intervertebral decompression to be a risk factor for ASD 2 years after surgery (odds ratio: 9.95; 95% confidence interval: 1.2–82.1). Conclusions. Adjacent intervertebral decompression was considered to be a potential risk factor for the development of ASD after spinal fusion with LLIF.
Clinical Efficacy of Assisted Reproductive Technology Combined with Progesterone Capsules in the Treatment of Infertility Caused by Diminished Ovarian Reserve and Its Influence on Serum FSH, E2, and LH Levels of Patients
Authors: Chen Lingqin , Lai Mindong , Huang Xiaojin , Zeng Fang , Xia Wei , Yang Qingping , Liu Sisun
Published: March 2022

Objective. To explore the clinical efficacy of assisted reproductive technology (ART) combined with progesterone capsules in the treatment of infertility caused by the diminished ovarian reserve (DOR) and its influence on serum FSH, E2, and LH levels of patients. Methods. In the manner of retrospective study, the data of 120 patients with infertility caused by DOR admitted to our hospital (February 2019–February 2020) were retrospectively analyzed, and the patients were equally divided into the experimental group and the control group according to the order of admission. All patients underwent in vitro fertilization and embryo transfer (IVF-ET), and the experimental group was received progesterone capsules at the same time. Ovarian-related indexes, follicular development, serum hormone levels, and pregnancy outcomes were compared between both groups. Results. After treatment, compared with the control group, ovarian-related indexes and follicular development in the experimental group were conspicuously better

P
<
0.001

. In the experimental group, the FSH level was (5.99 ± 1.20) U/L, the E2 level was (540.12 ± 3.54) ng/L, and the LH level was (3.10 ± 0.35) U/L after treatment, which was significantly better than those of the control group

P
<
0.001

. After treatment, compared with the control group, the clinical pregnancy rate in the experimental group was conspicuously higher

P
<
0.05

, and the abortion rate in the experimental group was conspicuously lower

P

<

0.05

. No obvious difference was observed in multiple births rate between the two groups

P
>
0.05

. Conclusion. ART combined with progesterone capsules can improve serum hormone levels, ovarian function, follicular development, and clinical pregnancy rate for patients with infertility caused by DOR, which should be applied in practice.
A Fractional-Order Investigation of Vaccinated SARS-CoV-2 Epidemic Model with Caputo Fractional Derivative
Authors: Alkahtani Badr Saad T.
Published: March 2022

In this paper, we consider a fractional-order mathematical system comprising four different compartments for the recent pandemic of SARS-CoV-2 with regard to global and singular kernels of Caputo fractional operator. The SARS-CoV-2 fractional mathematical model is analyzed for series-type solution by Laplace–Adomian decomposition techniques (LADM) and homotopy perturbation method (HPM). The whole quantity of each compartment is divided into small parts, and then the sum of these all parts is written as a series solution for each agent of the system, while the nonlinear part is decomposed using the Adomian polynomial. The model is also checked for approximate solution by HPM through a comparison of the parameter power,

p

, for each equation. The numerical simulation for both methods is provided in different fractional orders along with comparison with each other as well as with natural order 1.
Entanglement and the Measurement Problem
Authors: Hobson Art
Published: March 2022

The entangled “measurement state” (MS), predicted by von Neumann to arise during quantum measurement, seems to display paradoxical properties such as multiple macroscopic outcomes. But analysis of interferometry experiments using entangled photon pairs shows that entangled states differ surprisingly from simple superposition states. Based on standard quantum theory, this paper shows that the MS (i) does not represent multiple detector readings but instead represents nonparadoxical multiple statistical correlations between system states and detector readings, (ii) implies that exactly one outcome actually occurs, and (iii) implies that when one outcome occurs, the other possible outcomes simultaneously collapse nonlocally. Point (iii) resolves an issue first raised in 1927 by Einstein who demonstrated that quantum theory requires instantaneous state collapse. This conundrum’s resolution requires nonlocal correlations, which from today’s perspective suggests the MS should be an entangled state. Thus, contrary to previous presumed proofs of the measurement problem’s insolubility, we find the MS to be the collapsed state and just what we expect upon measurement.
Corrosion Zones of Rebar in High‐Volume Fly‐Ash Concrete through Potentiodynamic Study in Concrete Powder Solution Extracts: A Sustainable Construction Approach
Authors: Kumar Manish , Kujur Jitu , Chatterjee Rajeshwari , Chattopadhyaya Somnath , Sharma Shubham , Dwivedi Shashi Prakash , Saxena Ambuj , Rajkumar S. , Anand Ashutosh
Published: March 2022

This research reports the experimental outcomes of potentiodynamic analysis of the steel reinforcement in carbonated and uncarbonated high‐volume fly‐ash concrete powder solution extracts (CPSE). Different percentages of fly‐ash content have been used to form a high‐volume fly‐ash concrete (0%, 20%, 40%, 50%, 60%, and 70%) with three different types of steel reinforced. Three different water‐to‐binder ratios (0.35, 0.40, and 0.45) have been used to form the reinforced concrete. The different zones of corrosion were observed through the anodic polarization curve, which was obtained through the potentiodynamic linear sweep test. It has indeed been demonstrated that concrete with up to 50% fly ash shows better resistance against carbonation, as compared to Ordinary Portland Cement (OPC) concrete. Fully active anodic polarization curve is obtained for carbonated concrete. Corrosion‐resistant steel performed better as compared to TATA TMT and SISCON TMT types of steel. The ANOVA also verifies the experimental observation, which shows that the content of fly ash and types of steel decide the extent of corrosion in the concrete. It has also been observed that the interaction between the fly‐ash content and water‐binder proportion and also the interaction between fly ash and the type of steel show the strong effect on the corrosion activity, which decides the extent of different zones of corrosion.
Analysis of Ecological Environment Evaluation and Coupled and Coordinated Development of Smart Cities Based on Multisource Data
Authors: Ma Qianwei , Yang Yanxia
Published: March 2022

In order to further enhance the ecological environment construction of smart cities and promote its deep integration with advanced technologies, such as the new generation of artificial intelligence and big data, this study constructs a data fusion framework for the ecological environment of smart cities driven by multisource data and constructs an ecological environment evaluation index system of smart cities in Guangzhou from 2010 to 2018. The ecological environment status of smart cities in Guangzhou is analyzed by principal component analysis, and finally the, correlation influence degree of each principal component content on the ecological environment index of smart cities is analyzed. The results show that environmental excellence (

K

1

), environmental restoration response (

K

2

), and environmental pollution pressure (

K

3

) are the main components of the ecological environment in Guangzhou smart city. The environmental excellence and environmental restoration response level are relatively high, and the environmental pressure system is relatively low, in which the greenland coverage rate increases from 41.3% to 44.0%, and the urban sewage treatment rate and the decontamination rate of urban refuse increase year by year, from 73.1% to 94.6% and from 72.1% to 99.9%, respectively. The results of principal component correlation analysis show that there are interactive influences among environmental excellence (

K

1

), environmental restoration response (K2), and environmental pollution pressure (

K

3

). The ecological environment index of smart cities increases with the improvement of environmental excellence and environmental restoration response capacity, but gradually decreases with the increase of environmental pollution pressure. Generally speaking, improving environmental excellence and environmental restoration response will be the key to improve the ecological environment construction capacity of smart cities in the future.
Structural and Optical Properties of Calcium Titanate Prepared from Gypsum
Authors: Mostafa Massaud , Alrowaili Z. A. , Al Shehri M.M. , Mobarak M. , Abbas Ahmed M.
Published: March 2022

Ceramic materials have been used in various human health-related applications for considerable time. One of the important applications of ceramic materials is in electronics. Our work focuses on calcium titanate (CaTiO3). CaTiO3 is typically created via sintering. Gypsum particles is used to form calcium hydroxide, which is then combined with titanium dioxide to form rutile crystals. Thereafter, calcination is performed at 900°C, 1000°C, and 1100°C for 2 h. X-ray diffraction is employed to track the evolution of the CaTiO3 phase. Scanning electron microscopy is used to characterize the morphologies of the different preparation steps. As the calcination temperature increases from 900°C to 1000°C, the crystallite size of CaTiO3 increases from 35 nm to 45 nm. Furthermore, the energy gaps of the CaTiO3 powders obtained after calcination at 900°C and 1000°C are 5.32 eV and 5.43 eV, respectively, and their particle sizes are 150–200 nm and 200–300 nm, respectively.