bluuebunny/crossref_metadata_2025 huggingface dataset:
lncRNA PCGEM1 Regulates the Progress of Colorectal Cancer through Targeting miR-129-5p/SOX4
Authors: Guan Bingsheng , Chen Fazhi , Wu Zhenpeng , Wang Cunchuan , Yang Jingge
Published: September 2022

Prostate cancer gene expression marker 1 (PCGEM1) has abnormal expression level in a variety of malignant tumor. However, the relationship between PCGEM1 and colorectal cancer is still unclear yet. This study is aimed at identifying the role of PCGEM1 in colorectal cancer. qRT-PCR was used to examine the expressions of the expression of lncRNA PCGEM1 and SOX4 in CRC tissues and cell lines. The biological functions of lncRNA PCGEM1 and SOX4 were examined by CCK-8 assay, Transwell assay, immunohistochemistry, western blotting, RNA interference, and gene overexpression techniques. Bioinformatics analysis was used to find the potential downstream molecule of PCGEM1 and miR-129-5p. The relationship between PCGEM1, miR-129-5p, and SOX4 was assessed by dual luciferase activity assay. We found that PCGEM1 is overexpressed in colorectal cancer cells and tissues, while miR-129-5p is underexpressed. SOX4 is overexpressed in colorectal cancer cells and tissues. Functionally, PCGEM1 silencing can significantly inhibit the proliferation, invasion, and migration of colorectal cancer cells. Mechanically, PCGEM1 acted as a sponge for miR-129-5p and absorbed its expression, and miR-129-5p was found to target SOX4, constructing the axis of PCGEM1/miR-129-5p/SOX4 in colorectal cancer. In conclusion, PCGEM1 mediates the proliferation, invasion, and migration of colorectal cancer cells by targeting miR-129-5p/SOX4 axis.
A Rule-Based Decision Support Method Combining Variable Precision Rough Set and Stochastic Multi-Objective Acceptability Analysis for Multi-Attribute Decision-Making
Authors: Zhu Haihua , Liu Changchun , Zhang Yi , Shi Wei
Published: September 2022

In an open environment, the demands of users are diverse and dynamic because users can participate in product design from beginning to end. Owing to this, the disorderly and unplanned participation of users will greatly increase the complexity of multi-attribute decision-making (MADM) in the product design process. In order to ensure the smooth development of the open design process, the decision support model and method need to repeatedly provide decision makers (DMs) with necessary decision support information in a relatively short period of time, which can realize the evaluation of the scheme and improve the utilization efficiency of community resources. However, the process of eliciting preference information is complex, exhausting, inefficient, and time-consuming in existing methods, which will result in a poor decision-making. With the purpose of optimizing the eliciting process in MADM, a rule-based decision support method is proposed in this paper, where the process of eliciting preference information and decision-making are synchronized and guided by pre-extracted decision rules. The rules are deduced from comparison relations on attributes and their outcomes through the combination of variable precision rough set approach (VPRS) and stochastic multi-objective acceptability analysis (SMAA). With the concept of attribute reduction and approximation accuracy in rough set theory, the extracted rules could eliminate redundant attributes and assign the relative priority of preference information. Based on the extracted rules, the multi-attribute decision-making process could be carried out step by step in an orderly manner. In each step, DMs only need to provide partial preference information by non-quantitative statements according to extracted rules. Once the decision result is reliable enough, the eliciting and decision-making process can be terminated promptly. In order to validate the proposed approach, experiments of decision rule extraction are implemented, and the results show that the proposed approach is effective both in the weak rule extraction and the strong rule extraction.
Analysis and Engineering Practice of Factors Affecting Top‐Coal Recovery in a Large Dip Coal Seam
Authors: Huang Xinglong , Chen Ying , Li Yang , Jia Fengshuo , Liang Shengjian , Zhang Xiufeng , Chen Yang , Hui Qianjia , Wang Zhiwen , Zhang Zhaoju , Zhu Zhijie , Sun Dequan
Published: September 2022

The recovery of top coal in the caving face directly impacts the efficiency of mining coal resources. The geological conditions and mining parameters are well known to be significant influences on the recovery of top coal. This study focused on the 9‐301 working face, which is located in a thick coal seam with a large dip angle. The influences of the coal seam’s dip angle, mining direction, and coal caving mode and interval on the recovery were analyzed using PFC2D simulation. Field trials were also carried out. The results of the numerical calculations show that the recovery of top coal is clearly affected by the dip angle, with recovery decreasing as the dip angle is increased. Mining from the top to bottom along the dip of the coal seam is beneficial to improve recovery. The top‐coal recovery using the multicycle‐sequence coal caving method is higher than when using single‐sequence coal caving and single‐interval coal caving modes. The top‐coal recovery using “one cutting and one caving” (coal caving interval of 0.8 m) was higher than that under two cuttings and one caving (coal caving interval of 1.6 m). During the field trials, the recovery of top coal under different caving intervals and modes was measured. The results show that the recovery of top coal is optimal when using one cutting and one caving with multicycle‐sequence coal caving modes. The field measurements are consistent with the simulation results. The results of this study can help guide additional research for optimizing the recovery of top coal from thick coal seams with large dip angles.
Artificial Intelligence Evaluation for Mathematics Teaching in Colleges under the Guidance of Wireless Network
Authors: Chen Zhiqin
Published: September 2022

Comprehensively improving the quality of teaching is the highlight of current higher education. Also, it meets the basic needs of China’s current transformation into a country for strong education. Mathematics is one of the most important subjects in education these days, which is widely applied in research, social life, and understanding various science theories and laws. Hence, improving the quality of teaching mathematics in colleges becomes an important task in modern college teaching. In particular, the wireless integration of information has enriched and diversified the teaching methods of higher education. Vigorously promoting the application of wireless network technology in mathematics teaching is not only an effective way to solve the insufficient supply of educational resources but also a bold attempt to innovate the mathematics teaching mode in colleges and universities. Firstly, this work proposes an IACO-BP (improved ant colony optimization-based backpropagation) network to evaluate teaching quality for higher level mathematics in a wireless network environment. It improves the traditional ant colony optimization algorithm from three aspects, namely ant colony pheromone adaptive volatility coefficient, pheromone iterative elite selection strategy, and population iteration, adding a variation factor to construct IACO. Then, we use IACO to optimize initial weight and threshold to solve the issue of BP network’s falling into local optimum and improve network performance. Secondly, this work puts forward a series of countermeasures for the construction of mathematics teaching system in colleges. The correctness and superiority of the proposed strategy are verified by comparing the mathematics teaching quality in colleges before and after using the proposed strategies. Various aspects of mathematics teaching, such as teaching objectives, teaching content, and teaching process, are evaluated before and after using these strategies. These features are improved by a significant margin, up to 2.6%, after applying the proposed strategies.
Simulation Model of Enterprise Financial Management Activities Based on the Random Forest Algorithm
Authors: Zhao Fang
Published: September 2022

In the era of information and data, big data and cloud computing have been widely used in all walks of life, especially for promoting the transformation of business model and the financial administration model of corporations. Building various management systems based on the financial sharing center can realize centralized management of business finance and improve enterprise management efficiency. Enterprises must establish a set of perfect financial administration systems to prevent and resolve financial crisis, reduce financial losses and ensure the normal operation of corporations. Based on situational learning theory and simulation experiment technology, this paper constructs a comprehensive simulation experiment system of financial administration and focuses on three key technologies: case decomposition and task-driven, business simulation expansion, and scientific evaluation. Based on the random forest algorithm, a preparation setup model of accounts receivable and payable audit is constructed, and its application in case corporations is analyzed, which provides new ideas for the modern audit work mode and creates a dynamic and open business simulation environment for the financial administration experiment. The results show that the classification accuracy of the improved K-fold random forest algorithm is 1.54% higher than that of the traditional random forest algorithm, and the accuracy of the crisis preparation setup model in predicting the actual enterprise financial crisis reaches 90.327%, which is feasible and effective in the preparation setup of enterprise financial administration and provides a new research idea for the construction of the preparation setup model of enterprise financial administration. Financial management is the core part of enterprise management activities, and it is also an important factor affecting the comprehensive competitiveness of corporations. Therefore, on the basis of fully studying the objective regularity of financial activities, improving the financial administration algorithm, applying the random forest algorithm to enterprise management, and building a perfect management system can comprehensively control the financial administration activities of corporations and realize the innovation of financial administration activities from the aspects of data collection, fund management, and internal control, which is conducive to promoting the continuous improvement of the efficiency of enterprise financial administration.
Experimental Study of the Mechanical Behavior of Local Wood Terminalia Superba (Fraké) by Glued Wood Assembly According to the Beveled Configuration
Authors: Josué Dzudie Fonsso , Edgar Ntamack Guy , Joseph Nkongho Anyi , Bosco Samon Jean , Bienvenu Kenmeugne , Gael Azeufack Tonfack Ulrich
Published: September 2022

The design of structural elements, the design of connections and supports, and damage have a significant influence on the technical characteristics of wood construction projects. An innovative experimental study was carried on locally obtained glulam beams. This study aimed to evaluate the load-bearing capacity of a finger-jointed Terminalia Superba (fraké) lamellae during routine use of an adhesive in the local area and to improve the connections in glulam structures. The achievement of this objective will allow to determine the influence of the technical characteristics of finger-jointing on the mechanical resistance, to maximize the mechanical resistance of the reconstituted beams, and eventually to minimize the losses due to sawing. All this will have a considerable impact on the technical and economic aspects of a wood construction project. The physical aspect of the species was studied and properties found. The influence of variation in density, the bonding surface, and joint efficiency on the bending strength (MOR) of Terminalia Superba (fraké) was studied. Mechanical properties were found and related to the optimum joint angle α, and the breaking point reads 0.20 mm. For the angular range of [0°–30°], adhesive failures are witnessed, and beyond this range, the failures are mixed. The 45° finger-jointing angle appeared to be better in the axial traction mode of rupture.
Efficacy of High-Flow Nasal Cannula versus Conventional Oxygen Therapy in Obese Patients during the Perioperative Period: A Systematic Review and Meta-Analysis
Authors: Zhou Rong , Wang Hao-Tian , Gu Wei
Published: September 2022

Background. Obesity is a risk factor for severe airway obstruction and hypoxemia. High-flow nasal cannula (HFNC) is considered as a novel method for oxygen therapy, but the efficacy of HFNC for obese patients is controversial. This meta-analysis aimed to assess the efficacy of HFNC compared with conventional oxygen therapy (COT) in obese patients during the perioperative period. Methods. We searched the PubMed, Embase, Web of Science, the Cochrane Library, and Google scholar databases for randomized controlled trials (RCTs) that compared the efficacy of HFNC with COT in obese patients during the perioperative period. The primary outcome was the incidence of hypoxemia, while the secondary outcomes included the lowest SpO2, the need for additional respiratory support, and the hospital length of stay (LOS). Results. Twelve trials with 798 obese patients during the perioperative period were included. Compared with COT, HFNC reduced the incidence of hypoxemia (RR, 0.60; 95% CI, 0.43 to 0.83;

P
=
0.002

; I2 = 24%; 8 RCTs; n = 458), increased the lowest SpO2 (MD, 2.88; 95% CI, 1.53 to 4.22;

P
<
0.0001

; I2 = 32%; 5 RCTs; n = 264), decreased the need for additional respiratory support (RR, 0.43; 95% CI, 0.21 to 0.88;

P
=
0.02

; I2 = 0%; 3 RCTs; n = 305), and shortened the hospital LOS (MD, −0.31; 95% CI, −0.57 to −0.04;

P
=
0.02

; I2 = 0%; 3 RCTs; n = 214). Conclusions. This meta-analysis showed that compared with COT, the use of HFNC was able to reduce the incidence of hypoxemia, increase the lowest SpO2, decrease the need for additional respiratory support, and shorten the hospital LOS in obese patients during the perioperative period. Well-organized trials with large sample size should be conducted to support our findings.
A New Fractional Gradient Representation of Birkhoff Systems
Authors: Wang Peng
Published: September 2022

A fractional generalization of the gradient system to the Birkhoff mechanics, that is, a new fractional gradient representation of the Birkhoff system is investigated, in this paper. The definitions of the fractional gradient system are generalized to Birkhoff mechanics. Based on the definition, a general condition that a Birkhoff system can be a fractional gradient system is derived, the former studies for fractional gradient representation of the Birkhoff system are special cases of this paper. As applications of the results, the Birkhoff equations and fractional gradient expression of several classical nonlinear models are derived, such as the Hénon–Heiles equation, the Duffing oscillator model, and the Hojman–Urrutia equations. The results indicate, different from the former studies, that only gave the second-order gradient (integer order) expression for the Birkhoff system, an arbitrary fractional order gradient representation, exists for the Birkhoff system. The fractional potential function obtained from the general condition can determine the stationary states of these models in Birkhoffian expression.
Glass Fibre Reinforced Epoxy Composites Modified with Graphene Nanofillers: Electrical Characterization
Authors: Bhanuprakash Lokasani , Varghese Soney , Singh Sitesh Kumar
Published: September 2022

Composites with improved electrical properties created new pathways in electrical engineering industries. In this work, electrical studies conducted on continuous unidirectional E‐glass fibre‐reinforced epoxy composites modified with three different graphite oxide fillers are discussed. The three different fillers are (i) graphite oxide (GO), (ii) exfoliated graphite oxide (EGO), and (iii) reduced exfoliated graphite oxide (rEGO). Incorporation of GO fillers exhibited significant improvement in the dielectric characteristics of the composites, where it showed 42% enhancement in breakdown strength values. Dielectric constant measurements of GO‐filled composites have also demonstrated considerable enhancement in the values where the fillers promoted interfacial and dipolar polarization phenomena in the material. On the other hand, in the case of EGO and rEGO fillers, conducting nature induced from graphitic structure had significantly reduced the dielectric properties of their composites.
Extremal Harary Index of Graphs with Given Number of Vertices of Odd Degree
Authors: Su Zhenhua , Tang Zikai , Deng Hanyuan
Published: September 2022

The Harary index is one of the most investigated topological indices in mathematical chemistry and in related disciplines, which can be used to describe the molecular structure and physical properties. Let

G

n
,
2
k

be the set of all connected graphs on n vertices with exactly

2
k

vertices of odd degree. Recently, the graphs in

G

n
,
0

with the first four maximal Harary index and the first minimal Harary index are determined. In the paper, by using the edge-deleted method and some combinatorial skills, we characterize the graph in

G

n
,
2
k

with the maximal Harary index for all

0
≤
k
≤

n
/
2

, the graphs in

G

n
,
2

with the first two minimal Harary index, and the graph in

G

n
,
4

with the minimal Harary index. These results will be conducive to the further study of Harary index and its applications.
Upregulation of EMID1 Accelerates to a Favorable Prognosis and Immune Infiltration in Lung Adenocarcinoma
Authors: Shao Yufeng , Zheng Zhong , Li Sen , Yang Guangyu , Qi Fuwei , Fei Fan
Published: September 2022

Lung cancer is a difficult-to-treat cancer. Lung adenocarcinoma (LUAD) is the main subtype of lung cancer. Although there are many ways to treat lung cancer, the survival rate of patients is low. Therefore, novel molecules need to be identified to diagnose and treat LUAD. This study utilized The Cancer Genome Atlas (TCGA) LUAD data to analyze and validate the value of EMID1 as a LUAD diagnostic surface marker and overall survival prognostic marker. Differential expression analysis formally confirmed that decreased EMID1 expression was significantly associated with advanced stage and metastasis of lung cancer. Kaplan–Meier survival analysis showed that the patients with low EMID expression are dismal. The relationship between clinicopathological features and EMID1 was scored using Wilcoxon signed-rank test and R (v.3.5.1) logistic regression and suggested that patients with low EMID1 expression had a worse prognosis than patients with high EMID1 expression. (Gene Ontology) GO, Kyoto Encyclopedia of Genes and Genomes(KEGG), and gene set enrichment analysis (GSEA) were performed to investigate the potential mechanism of EMID1 expression on the prognosis of LUAD and suggested that Notch signaling pathway may be an important biological pathway for EMID1 to play a role in LUAD. Further, combined with univariate and multivariate Cox regression analysis, it was speculated that high and low levels of EMID1 expression and the logistic regression analysis of related clinical variables had significant clinical significance to verify the underlying mechanism of LUAD focus and prognosis. EMID1 plays an important role in the immune milieu of LUAD. Meanwhile, the correlation between tumor-infiltrating immune cells and genes was assessed using CIBERSORT, and it was found that the level of B cell infiltration was positively correlated with the expression of EMID1, all of which were validated in the GEO and GEPIA databases. In all, this study helps to understand the immune microenvironment of LUAD and improve the survival of patients with LUAD. Thus, EMID1 may be a novel immune-related prognostic marker of LUAD.
Continuous-Thrust Station-Keeping of Cis-Lunar Orbits Using Optimal Sliding Mode Control with Practical Constraints
Authors: Zhang Ruikang , Wang Yue
Published: September 2022

The cis-lunar space has been more and more attractive for human beings, and different kinds of missions have been proposed. For cis-lunar missions with long durations, the stationing-keeping is a pivotal problem. In this paper, the station-keeping problem with continuous thrust for different cis-lunar orbits, including distant retrograde orbits (DROs), near rectilinear halo orbits (NRHOs), and halo orbits, are investigated in the ephemeris model. The optimal sliding mode control (OSMC) based on the linear quadrant regulator (LQR) control is designed for the station-keeping problem. Simulations only considering the initial insertion error are conducted first to show performances of the OSMC controller, and the Jupiter gravity and solar radiation pressure (SRP) are then included as unknown perturbations to test the controller’s robustness. Then, with considerations of more practical constraints caused by the navigation and propulsion systems, Monte-Carlo simulations are carried out to provide more realistic results, and station-keeping performances are compared and analyzed for different nominal orbits. The results can provide useful references for the selection of station-keeping strategy in future long-term lunar missions.
The Effects of Citalopram and Thalamic Dopamine D2/3 Receptor Availability on Decision-Making and Loss Aversion in Alcohol Dependence
Authors: Zorick Todd , Okita Kyoji , Renard K. Brooke , Mandelkern Mark A. , Brody Arthur L. , London Edythe D.
Published: September 2022

Selective serotonin reuptake inhibitors (SSRIs) are commonly prescribed for patients who misuse alcohol, especially in the context of comorbid depressive symptoms. Deficits in impulse control and decision-making are linked to routine alcohol consumption and alcohol dependence. The goal of this study was to determine the effects of a single dose of citalopram on measures of impulsivity, decision-making, and/or brain dopamine receptor availability in alcohol-dependent individuals. A double-blind, placebo-controlled, within-subject, outpatient study was conducted with active alcohol-dependent (DSM-IV-TR criteria) participants (

n
=
12

) and matched healthy controls (

n
=
13

). Serial doses of both citalopram (40 mg) and saline were administered intravenously before laboratory tests of decision-making (Balloon Analogue Risk Task, delay discounting task, and Loss Aversion Gambling Task) and positron emission tomography with [18F]-fallypride to measure dopamine D2/3 receptor availability, separated by at least one week. Alcohol-dependent participants demonstrated greater loss aversion than healthy controls, but there were no group differences in risk taking on the Balloon Analogue Risk Task. Citalopram increased delay discounting across groups, with no group difference in the effect. There were no effects of citalopram on risk taking on the Balloon Analogue Risk Task. PET showed a negative correlation between thalamic dopamine D2/3 receptor availability and loss aversion across groups. The effect of citalopram to decrease the valuation of monetary reward as a function of delay raises the possibility that SSRIs can influence risky decision-making in clinical populations. In addition, these results suggest that altered thalamic dopamine signaling may play an important role in disproportionately valuing losses in patients with Alcohol Use Disorder. This trial is registered under ClinicalTrials.gov registration NCT01657760.
Inclusions Involving Interval‐Valued Harmonically Co‐Ordinated Convex Functions and Raina’s Fractional Double Integrals
Authors: Mohsin Bandar Bin , Awan Muhammad Uzair , Javed Muhammad Zakria , Budak Hüseyin , Khan Awais Gul , Noor Muhammad Aslam
Published: September 2022

The aim of this article is to obtain some new integral inclusions essentially using the interval‐valued harmonically co‐ordinated convex functions and κ‐Raina’s fractional double integrals. To show the validity of our theoretical results, we also give some numerical examples.
Urban Residents’ Willingness to Choose and Pay for ADAS and Autonomous Driving Functions: Comparison of Two Cities in China
Authors: Wang Fang-Kai , Jiang Ze-Hao , Dong Yi-Jia , Ma Yue
Published: September 2022

ADAS and autonomous driving are booming. As technologies continue to innovate and mature, whether travelers understand, accept, and buy them will directly impact the technological development, popularization, and profitability of these products. This study analyzes the influence of urban residents’ personal, family, and commuting characteristics on their willingness to choose and pay for ADAS and autonomous driving functions. Using the questionnaire survey data for Jiading and Meishan in China, Logit models are established for willingness to choose, and linear regression models are established for willingness to pay. Although Jiading and Meishan are similar in terms of city size and population, there are some differences in the influencing factors for willingness to choose and pay because of the differences in industrial structure, city culture, and residents’ commuting habits. The results show that significant influencing factors vary for different levels of ADAS and autonomous driving functions. The findings of this research can provide a reference for city authorities, designers, and sellers of ADAS products or autonomous vehicles to identify potential buyers and promote related products.
Combination of Tumor Mutational Burden and DNA Damage Repair Gene Mutations with Stromal/Immune Scores Improved Prognosis Stratification in Patients with Lung Adenocarcinoma
Authors: Wu Dongping , Huang Lingjuan , Mao Jiwei , Liu Jianjiang , Ye Wanli , Xu Jun , Zhong Wangyan , Zhang Xiaoyu , Ying Shenpeng
Published: September 2022

Background. Both the tumor environment and the genomic landscape of lung cancer may shape patient responses to treatments, including immunotherapy, but their joint impacts on lung adenocarcinoma (LUAD) prognosis are underexplored. Methods. RNA sequencing data and whole-exome sequencing results were downloaded from the TCGA database, and only LUAD-related data were included in this study. Based on gene expression data, the ESTIMATE algorithm was used to estimate stromal and immune scores, and CIBERSORT analysis was used for quantification of the relative abundances of immune cells. Somatic mutations were used for calculating tumor mutation burden (TMB). Specific mutations in genes involved in DNA damage repair (DDR) pathways were identified. The individual and joint associations of stromal and immune score, TMB, and DDR gene mutations with 5-year survival were analyzed by the Kaplan–Meier method and multivariate Cox model. Results. LUAD patients with a high (>highest 25%) stromal or immune score had prolonged survival as compared to those with a low (<lowest 25%) score (log-rank

P
=
0.05

and 0.035, respectively). Patients with both high stromal and immune scores had the most favorable survival. Although the survival differences between patients with high (>highest 25%) and low (<lowest 25%) TMB, or between patients with mutant- and wild-type DDR genes were not statistically significant, a survival benefit from high TMB or DDR gene mutations was observed in patients with high stromal or immune scores. Conclusion. A comprehensive evaluation of transcriptomic signatures and genomic biomarkers may provide a novel avenue for improving prognosis stratification in LUAD.
Research on Mechanical Properties and Macroscopic Fracture Evolution of Rock with Different Joint Plane Features
Authors: Yu Yongjiang , Liu Jingjing , Wang Pengbo , Yang Yuntao , Zhao Shangqing
Published: September 2022

To analyze the safety of geological engineering, experimental research on the mechanical properties of the rock joint plane is critical. In this paper, triaxial compression tests are carried out on rock specimens with the different prefabricated joint planes, including different dip angles, roughness, confining pressure and surrounding rock strength, and the strength characteristics, failure modes, stress evolution laws, and crack propagation laws are revealed. The test results show that when the specimen is damaged, the strain, peak stress, and residual strength all increase with the increase of roughness, confining pressure, and strength of surrounding rock but decrease significantly with the increase of joint plane angle. With the increase of stress, the stress-strain curve shows multiple fluctuations, indicating that the specimen occurs multiple slip-stable phenomena during the loading process. With the increase of the angle, the multiple cracks of the specimen gradually merge, and the cracks are always vertical to the joint plane, showing splitting failure. As the roughness of the joint plane increases, the possibility of the joint plane sliding becomes smaller, and the splitting mode of the specimen develops from multiple fractures to a single fracture. As the strength of the surrounding rock increases, the slope of the stress-strain curve gradually increases, and the splitting mode develops from a small number of single splits to multiple splitting penetration failures. The increase of the confining pressure significantly improves the failure strength of the specimen, and the crack number of the damaged specimen also increases significantly. The research results provide theoretical support for scientific analysis of the stability of underground engineering under the disturbance of fissures or faults.
A Review on Synthesis, Properties, and Environmental Application of Fe-Based Perovskite
Authors: Jayanthi G. , Sumathi Sowrirajan , Kannan Karthik , Andal V. , Murugan Sivaraj
Published: September 2022

Perovskite has attracted the attention of researchers owing to its intriguing physicochemical properties and wide applications. Recently, Fe-based Perovskite as well as its nanoforms is an extensively studied material due to its photocatalytic activity, multiferroic properties, and chemical stability. Fe-based Perovskite exhibits a range of characteristics that become helpful for different applications such as catalysis, electrochemical sensors, and solar cells. This review summarizes the synthesis, properties, and environmental applications of Fe-based Perovskite. This review highlights and provides an overview of the transition metal substituent in Fe-based Perovskite and its properties and how it influences its application in wastewater treatment and catalysis. This article furnishes an overview on synthesis, properties, and environmental application of Fe-based Perovskite.
Implementation of Machine Learning Mechanism for Recognising Prostate Cancer through Photoacoustic Signal
Authors: Ramkumar G. , Bhuvaneswari P. , Radhika R. , Saranya S. , Vijayalakshmi S. , Karpagam M. , Wilfred Florin
Published: September 2022

Biological tissues may be studied using photoacoustic (PA) spectroscopy, which can yield a wealth of physical and chemical data. However, it is really challenging to directly analyse these tissues because of a lot of data. Data mining techniques can get around this issue. In order to diagnose prostate cancer via PA spectrum assessment, this work describes the machine learning (ML) technique implementation, such as supervised classification and unsupervised hierarchical clustering. The collected PA signals were preprocessed using Pwelch method, and the features are extracted using two methods such as hierarchical cluster and correlation assessment. The extracted features are classified using four ML‐methods, namely, Support Vector Machine (SVM), Naïve Bayes (NB), decision tree C4.5, and Linear Discriminant Analysis (LDA). Furthermore, as these components alter throughout the progression of prostate cancer, this study focuses on the composition and distribution of collagen, lipids, and haemoglobin. In diseased tissues compared to normal tissues, there is a stronger correlation between the various chemical components ultrasonic power spectra, suggesting that the microstructural dispersion in tumour tissues has been more uniform. The accuracy of several classifiers used in cancer tissue diagnosis was greater than 94% for all four methods, which is effective than that of benchmark medical methods. Thus, the method shows significant promise for the noninvasive, early detection of severe prostate cancer.
Stability Analysis of the New Section in Raising the Existing Composite Wala Dam Using Finite Element Methods
Authors: Husein Malkawi Dima A. , Husein Malkawi Abdallah I.
Published: September 2022

Jordan is a country with a population that increases steadily but is punctuated by waves of refugees. Henceforth, Jordan will be destabilized with prolonged and potential water shortages. With both climate and population changes, the nation needs to implement comprehensive reform. In many cases, raising the height of an existing dam would help reduce the gap between the sources and water demands. Consequently, the original Wala dam in Jordan with a capacity of 9.3 million cubic meters (MCM) was raised to achieve a capacity of 25 MCM. The Wala dam was raised uniquely and unusually, which raises concerns about its stability and safety. In this paper, a two‐dimensional plane strain model was conducted using finite element modeling (FEM) on the Wala dam to investigate the stability conditions of the raised dam. Several material properties were used in this study. These properties are density, Poisson’s ratio, elastic modulus, and friction angle. Stresses and deformations of the new section within the dam body, dam foundation, and an earthfill embankment are presented and compared with the original dam. Results showed that the stresses after raising the height of the dam body are below 1.5 MPa, and it is within the allowable range. Moreover, the stability analysis showed that the stresses and deformation are minimal and negligible. Also, no failure was observed or reported within the soil. Furthermore, a stability analysis of the slip surface of the new body of the dam structure using the finite element method is introduced. Two potential slip surfaces were examined, and a surface‐to‐surface contact element is modeled to simulate the slip surface. In addition, settlement field observations for 16 months are presented and discussed in this paper.
Reliability Analysis of the Proportional Mean Departure Time Model
Authors: Shrahili Mansour , Kayid Mohamed
Published: September 2022

In this article, the mean lifetime of an individual whose lives lost based on a function of the time before which the individual has passed away is considered. The measure is used to construct a semi‐parametric model called proportional mean departure time model. Examples are given and evidences are gathered to show that the model is a proper alternative for the proportional mean past lifetime model. Closure properties of the model concerning several stochastic orders and a number of reliability properties are established. Finally, the model is extended to entertain random amounts of the parameter and establish a proportional mean departure time frailty model. Further stochastic properties using several stochastic orders are developed in the context of the frailty model.
Numerical Analysis of the Structural Properties of Girdling Beam for a Square Column Used in Bridge Jacking Construction
Authors: Zhang Bolin , Li Fangyuan
Published: September 2022

As a key connecting structure of jacking construction, the load capacity of the girdling beam determines the safety of the jacking construction of bridges. The square cross-sectional column was held by the action of the girdling beam for jacking construction of the bridge and was studied with nonlinear analysis of its structural properties at different girdling heights, with different construction modes including integral cast and two-stage cast. The results, including the interface stress and internal stress, column, and girdling beam deformation and destruction features, were presented. The mechanical characteristics of girdling beam for the square column were summarized with the spatial strut-and-tie model. It has been proven that the slip failure mode of girdling beams is a kind of brittle failure that must have enough load resistance to ensure the safety of jacking construction.
e-Learning-Based Education Resilience in Indonesia
Authors: Yusriadi Yusriadi , Makkulawu Panyiwi Kessi Andi , Awaluddin M. , Sarabani Leeda
Published: September 2022

During the COVID-19 period, the e-learning system saw increased usage and study; existing dimensions related to technologies and learners are not adequately explored while discussing e-learning adoption. As a technology, adopting e-learning for education in Indonesia confronts numerous resilience problems due to its benefits. This article analyzed the resilience paradoxes, namely, transformation, sociocultural, modernization, integrity, and ethics, to raise awareness and elicit the essential responses to enhance e-learning adoption and utilization. The approach used in this study is qualitative and phenomenological. 25 people were interviewed for this research; participants include teachers and students. The analysis step is easier to understand and is explicitly designed to analyze and conceptualize qualitative data using the most recent QSR qualitative research software. The study examined the divergent and contradictory perspectives of technology supporters and technology doubters on e-learning in Indonesian education; this gives a valid starting point for a critical and in-depth debate about e-learning; it is not simple to reconcile this dilemma. However, this study works to be knowledgeable of paradoxes and be prepared to resolve the issue and get the intended results.
Prediction and Analysis of Financial Default Loan Behavior Based on Machine Learning Model
Authors: Chen Herui
Published: September 2022

In recent years, the increase of customer loan risk and the aggravation of the epidemic have led to the increase of customer default risk. Therefore, identifying high-risk customers has become an important research hotspot for banks. The customer’s credit is the standard to evaluate the loan amount and interest rate, and the ability to quickly identify customer information has become a research hotspot. Based on the bank credit application scenario, this paper realizes function extraction and data processing for customer basic attribute data and download transaction data. Then, a linear regression model with penalty and a neural network prediction model are proposed to improve the accuracy of bankruptcy assessment and achieve local optimization. In this way, the implicit risk prediction and control of customer credit are improved, and the default risk of bank loans is significantly reduced. According to the characteristics of the collected sample data, the most appropriate penalty linear regression prediction algorithm is selected and the experimental analysis is carried out to improve the risk management level of banks. The experimental results show that the improved logistic regression and neural network model has obvious advantages in the prediction effect for four models.
Government Financial Support and Enterprises’ Economic Revitalization and Pollution Discharge Under Normalization of the Epidemic: An Evolutionary Game Analysis Framework
Authors: Zhang Sen , Chen Ting , Liu Yilin , Cheng Baodong , Qin Guangyuan
Published: September 2022

The world economy, since the outbreak of the coronavirus epidemic, has undergone profound changes. Especially since the coronavirus became the norm, how to achieve rapid economic revitalization has become a problem that countries have to face. In order to analyze how the government should promote the enterprises’ economic revitalization and effectively control pollution under the normalized epidemic situation, this paper analyzes the economic revitalization and pollution control problems faced by enterprises under the normalized epidemic situation by using the evolutionary game method. Through the analysis of the evolutionary game model, we draw the following conclusions: (1) Discovered by comparing two different incentives mechanism and penalties mechanism, the dynamic incentives mechanism, and penalties mechanism has a better effect on the process of enterprises’ economic revitalization, and it also can reduce the discharge of enterprises’ pollutants. (2) In terms of discharge reduction effect, penalties have a better effect than incentives. Compared with incentives, in the process of the economic revitalization of enterprises, in order to reduce pollution discharge, the government can adopt dynamic penalties strategies. This paper analyzes what the government should do when enterprises face the problems of economic revitalization and pollution control. This study can not only provide suggestions for the government in the process of governance but also provide countermeasures for the economic revitalization of enterprises.
Angiopoietin-Like Protein 2 Is Increased in Obese Mouse Models of Lung Injury
Authors: Jiang Ting , Leng Wenying , Zhong Sen
Published: September 2022

Objective. To investigate the regulatory role of angiopoietin-1ike protein 2 (Angptl 2) in the pathogenesis of acute respiratory distress syndrome (ARDS). Methods. A high-fat diet (HFD) and tail vein injection of 0.1 ml/kg oleic acid were used to induce acute lung injury (ALI) and ARDS models, and male Kunming mice were randomly divided into four groups: control group (injected with normal saline), ALI group (injected with oleic acid), HFD group (injection of normal saline), and ARDS group (HFD+injection of oleic acid). The degree of lung injury was assessed by lung histopathology score and lung injury index. At the same time, the mRNA and protein expression levels of Angptl 2 in lung tissue were also detected to determine the relationship between Angptl 2 and ARDS. Results. Lee’s index of the HFD group and ARDS group was significantly higher than that of the control group and ALI group (

P
<
0.05

), and the lung injury index of the ARDS group was significantly higher than that of the ALI group. The expression of Angptl 2 in the lung tissue of the ALI group and ARDS group was significantly different, and the Angptl 2 mRNA level was the highest in the ARDS group. Immunohistochemistry showed that the alveolar walls of the ALI group and ARDS group were severely collapsed, and the ARDS group had the greatest Angptl 2 aggregation at the site of edema exudation. Conclusion. Collectively, obesity might be mediated by Angptl 2 and promotes lung injury. Immunohistochemistry analysis showed that the expression of the receptor on alveolar walls was correlated with Angptl 2, which increased alveolar wall permeability, edema fluid exudation, and alveolar wall collapse. Thus, Angptl 2 might be a target for improving the treatment of ARDS.
Comprehensive Evaluation of Serum tRF-17-WS7K092 as a Promising Biomarker for the Diagnosis of Gastric Cancer
Authors: Gu Xinliang , Zhang Yu , Huang Yuejiao , Ju Shaoqing
Published: September 2022

Background. Gastric cancer (GC) is a malignant tumor of the gastrointestinal system. Since the early symptoms of GC are not obvious and lack efficient diagnostic markers, it is urgent to find new diagnostic markers with good sensitivity and specificity. tRNA-derived small RNAs (tsRNAs) are an emerging class of small noncoding RNAs with good abundance in body fluids. We aim to find new tsRNAs as biomarkers for GC diagnosis. Methods. High-throughput sequencing was used to identify differentially expressed tsRNAs in GC tissues, and quantitative real-time PCR was used to detect the expression level of tRF-17-WS7K092. Agarose gel electrophoresis and Sanger sequencing were performed to verify the characteristics of tRF-17-WS7K092. The diagnostic efficacy of tRF-17-WS7K092 was analyzed by the receiver operating characteristic curve. Results. In this study, the expression levels of tRF-17-WS7K092 were significantly increased in GC tissues, cells, and serum. After GC surgery, the expression level of serum tRF-17-WS7K092 decreased, and its high expression was associated with low survival rates. In addition, the expression level of serum tRF-17-WS7K092 was correlated with the T stage, TNM stage, lymph node metastasis, and nerve/vascular invasion and could distinguish GC patients from gastritis patients and healthy donors as well. Conclusions. The expression of serum tRF-17-WS7K092 was significantly increased in GC and decreased after GC surgery, suggesting that serum tRF-17-WS7K092 may serve as a promising biomarker for the diagnostic and prognostic monitoring of GC.
The Relationship between Mobile Phone Anxiety and Sleep Quality Occupational Therapy in Adolescents and Its Internal Mechanism
Authors: Bi Jingwen
Published: September 2022

With the development of the Internet era, the application of smartphones in life is quite useful, and the penetration rate of smartphones will be further increased in the future, making teenagers increasingly dependent on mobile phones. Teenagers are under great academic pressure, and excessive reliance on mobile phones will inevitably affect the formation of normal values. Teenagers, as a special group, deserve our attention. Mobile phone dependence has become a social problem. In this paper, the Pittsburgh Sleep Quality Index was used to evaluate the sleep quality of adolescents, and the factors affecting the sleep quality of adolescents were explored from three dimensions of behaviour, physiology, and emotion based on the sleep quality model. In this study, structural equation modelling was used to test the multiple mediating effects and analyze the relationship between mobile phone anxiety and sleep quality. Through the analysis of the internal mechanism of the two, the results show that the average score of adolescents’ anxiety about mobile phone use is 32.87, and the standard deviation is 10.67. The difference between mobile phone anxiety and sleep quality was statistically significant (

P
<
0.001

); good sleep quality can alleviate the prediction effect of mobile phone anxiety on anxiety and provide reference for promoting the physical and mental health development of adolescents.
Thiourea‐Mediated Reduced Graphene Oxide Nanosheets, Their Cytotoxic Impacts on Human Prostate Cancer Cells, and Their Antibacterial Effects against E. coli Mastitis
Authors: Vimalanathan Babu , Vijaya J Judith , Selvamani P Stephen , Manivannan  , Ignacimuthu Savarimuthu , Daniel Magesh , Bououdina Mohamed , Ramasamy Jayavel
Published: September 2022

This study was aimed at determining the cytotoxic efficacy of graphene oxide (GO) and thiourea‐reduced oxide (T‐rGO) nanosheets against human prostate cancer cells and their antibacterial activity against E. coli mastitis. X‐ray diffraction, Raman spectroscopy, Fourier transformed infrared spectroscopy, and scanning electron microscopy were used to study the physicochemical properties of the fabricated GO and T‐rGO. The cytotoxicity of GO and T‐rGO in human prostate cancer cells was examined using cell survival test, DNA laddering, and cell cycle analysis. The antibacterial effectiveness of GO and T‐rGO was tested using E. coli mastitis. The study revealed that cell viability was lowered by GO and T‐rGO in a concentration‐dependent trend. The production of reactive oxygen species and hydroxyl radicals was found to increase following the treatment. DNA was harmed because of oxidative stress, causing laddering. Both GO and T‐rGO demonstrated good antibacterial activity against E. coli mastitis. The findings of this research work provide insightful information about functional graphene derivatives for potential biomedical applications, primarily cancer treatment.