bluuebunny/crossref_metadata_2025 huggingface dataset:
Modified cosmic Chaplygin AdS black hole
Authors: Debnath Ujjal , Pourhassan Behnam , Sakallı İzzet
Published: June 2022

In this paper, we construct a new charged AdS black hole with modified cosmic Chaplygin gas (MCCG). In comparison to the previous model (modified Chaplygin AdS black hole) that existed in the literature, we now have two new parameters: the cosmic parameter and the black hole’s electric charge. We examine the asymptotically charged AdS black hole thermodynamics with MCCG under the assumption of a negative cosmological constant as a thermodynamics pressure. Using MCCG, we developed a new solution to Einstein’s AdS black hole field equations. The mass parameter, volume, electric potential, entropy, and temperature of the charged AdS black hole have all been computed. We also study the various energy conditions for the MCCG as a source fluid of AdS black hole. For some restrictions on the involved parameters, we show that these conditions are met. Then, we study the thermodynamical stability, critical points, and Joule-Thompson expansion for the back hole obtained. We reveal that while the existence of cosmic parameter yields to a complete stable mode, its absence gives rise to some unstable regions. Then, using MCCG, we treat the obtained black hole’s thermodynamics as a heat engine and calculate the work done as well as the heat engine’s maximum efficiency in the Carnot cycle. The work done, the efficiency, and the Rankine cycle’s efficiency are also investigated. All of the findings are graphically depicted and discussed.
Schottky vertex operator cluster algebras
Authors: Zuevsky A.
Published: June 2022

Using recursion formulas for vertex operator algebra higher genus characters with formal parameters identified with local coordinates around marked points on a Riemann surface of arbitrary genus, we introduce the notion of a vertex operator cluster algebra structure. Cluster elements and mutation rules are explicitly defined, and the simplest example of a vertex operator cluster algebra is presented.
Investigation of the Simplest Megastable Chaotic Oscillator with Spatially Triangular Wave Damping
Authors: Karami Mahdi , Ramakrishnan Balamurali , Hamarash Ibrahim Ismael , Abd El-Latif Ahmed A. , Pham Viet-Thanh
Published: June 2022

The simplest megastable chaotic system is built by employing a piecewise-linear damping function which is periodic over the spatial domain. The unforced oscillator generates an infinite number of nested limit cycles with constant distances whose strength of attraction decreases gradually as moving to outer ones. The attractors and the basins of attraction of the proposed system are almost compatible with those of the system with sinusoidal damping. However, the nonzero Lyapunov Exponent of the latter is consistently below that of the former. A comparative bifurcation analysis is carried out for periodically forced systems, showing the chaotic behavior of coexisting attractors in specific values of parameters. Changing the bifurcation parameter results in expansion, contraction, merging, and separation of the coexisting attractors, make it challenging to find the corresponding basins. Three symmetric pairs of attractors are observed; each one consists of two symmetric attractors (with respect to the origin) with almost the same values of the corresponding Lyapunov Exponent.
Stochastic P-Bifurcation Analysis of Fractional Smooth and Discontinuous Oscillator with an Extended Fast Method
Authors: Yuan Minjuan , Wang Liang , Jiao Yiyu , Xu Wei
Published: June 2022

In this paper, stochastic bifurcations of a fractional-order smooth and discontinuous (SD) oscillator composed of different viscoelastic materials are studied. As a widely applicable algorithm for various fractional-orders cases, an extended fast algorithm is introduced to obtain the statistics of the response, where the fractional derivative is separated into a history part and a local part with a predetermined memory length. The local part is approximated by a highly accurate algorithm while the history part is computed by an efficient convolution algorithm. Through this accurate and fast method, effects of the system parameters on the dynamic behaviors, such as the fractional order, smoothness parameter, and frequency of harmonic force, are thus successfully investigated. Abundant stochastic P-bifurcation phenomena are discussed in detail. Further, it is found that only when the damping material shows nearly elastic behaviors, the probability density functions of the system exhibit the crater shape. Experiments show that the fast algorithm is accurate for different fractional orders.
An Extremely Multistable Complex Chaotic System Under Boosting Control
Authors: Yang Feifei , Xiong Li , An Xinlei
Published: June 2022

In order to explore the phenomenon of coexisting attractors in complex chaotic systems, a multistable complex chaotic system is designed by using a cosine function and a control parameter to control the Sprott B system in this paper. The basic features of the complex chaotic system are analyzed from the perspectives of symmetry, dissipation, equilibrium points and stability. The analysis results indicate that the complex chaotic system is a symmetrical and dissipative system. It is particularly interesting to note that the system has infinitely many unstable equilibrium points, which generate infinitely many attractors. The dynamical characteristics of the complex chaotic system are evaluated through bifurcation diagrams, spectral entropy complexity and Lyapunov exponents spectrum. The dynamical evaluations illustrate that the system has complex dynamical performances, such as chaotic states, periodic states, especially infinitely many coexisting attractors. Then a chaotic circuit based on the complex chaotic system is designed and simulated by Multisim software. And the hardware circuit is implemented by using digital signal processor (DSP) platform. The hardware experimental results are consistent with the Multisim simulation results.
Thermal Instability and Chaos in a Hybrid Nanofluid Flow
Authors: Dèdèwanou S. J. , Monwanou A. V. , Koukpémèdji A. A. , Hinvi L. A. , Miwadinou C. H. , Chabi Orou J. B.
Published: June 2022

In this work, the linear and nonlinear dynamics of thermal convection in an incompressible Newtonian (alumina-copper)/water hybrid nanofluid each confined in an infinite rectangular cavity and heated from below via the Cattaneo–Christov heat flux model are studied for volume fractions fixed between 0 and 0.05. Firstly, using the governed flow equations and free boundary conditions, we proceed to the classical theory of stationary and oscillatory convection which help us to find the expressions of critical Rayleigh numbers, Cattaneo numbers and wavenumber of base fluid as a function of mono or hybrid nanofluid thermophysical properties. The results show that when the Cattaneo number increases, the critical Rayleigh number is constant in the case of stationary convection but decreases in the case of oscillatory convection for pure base fluid and hybrid nanofluids. It is noted that beyond the threshold Cattaneo number, the critical Rayleigh number of stationary convection is greater than those of oscillatory convection and the critical wavenumber shifts discontinuously from stationary to oscillatory convection. Secondly, the use of the truncated Galerkin approximation made it possible to find a five low-dimensional system in order to study numerically the transition from natural convection to chaotic behavior of nanofluid. We noticed that the addition of hybrid nanoparticle in the heat fluid transfer increases the domain of stationary convection by delaying the oscillatory convection with increasing normalized Rayleigh number. Also, the bifurcation diagrams show that the use of hybrid nanoparticles allows further control of the chaos in base fluid by expanding the convective flow. Furthermore, in the presence of thermal relaxation time, the chaos in the hybrid nanofluid lasts longer compared to the ordinary fluid.
Development of Ant Colony Optimization Algorithm for Green Capacitated Vehicle Routing Problem
Authors: Adhitama Lukman , Kurniawati Dwi Agustina
Published: June 2022

The high customer demand for a product will lead to increased distribution activity by the vehicles, causing an increase in the amount of gas emissions that pollute the air. Therefore, the common problem namely the Capacitated Vehicle Routing Problem should also seek a reduction of emissions that is known as the Green Capacitated Vehicle Routing Problem (GCVRP). This research was conducted in three steps. First, all nodes are divided into clusters. After that, the Ant Colony Optimization (ACO) algorithm is used to determine the route of each cluster so as to provide minimal emissions. In the final step, the results are corrected by using the Variable Neighborhood Search. Results of this research indicate a reduction of 38.53% of emission value.
Perceived Benefits of Sustainable Digital Technologies Adoption in Manufacturing SMEs
Authors: Yacob Peter , Peter Darren
Published: June 2022

This study examines the perceived benefits of adopting sustainable digital technologies through the mediation effect of leaders’ attitudes in manufacturing small and medium-sized enterprises (SMEs) in Malaysia. Data were collected from an online survey of 389 respondents. The results exhibited that the perceived benefits, particularly perceived cost-effectiveness and perceived communication effectiveness, had a substantial positive influence on the adoption of sustainable digital technologies adoption compared to perceived usefulness and ease of use. The leader’s attitude fully mediates the association between perceived benefits and digital sustainable technologies adoption. This study has contributed to the rising body of knowledge relevant to adopting sustainable digital technologies in SMEs. It offers strategies to develop management skills and strong competencies in sustainable digital technologies solutions.
On fractional symmetry group scheme to the higher-dimensional space and time fractional dissipative Burgers equation
Authors: Liu Jian-Gen , Yang Xiao-Jun , Geng Lu-Lu , Yu Xiao-Jin
Published: June 2022

In this paper, we studied a higher-dimensional space and time fractional model, namely, the (3+1)-dimensional dissipative Burgers equation which can be used to describe the shallow water waves phenomena. Here, the analyzed tool is the Lie symmetry scheme in the sense of the Riemann–Liouville fractional derivative. First of all, the symmetry of this considered equation was yielded. Then, based on the above obtained symmetry, the one-parameter Lie group was obtained. Subsequently, this model can be changed into the lower-dimensional equation with the Erdélyi–Kober fractional operators. Lastly, conservation laws of this studied equation via a new conservation theorem were also received. After such a series of processing, these new results play an important role in our understanding of this higher-dimensional space and time differential equations.
U-Net-based deep learning for tracking and quantitative analysis of intracellular vesicles in time-lapse microscopy images
Authors: Liu Zhichao , Zhang Heng , Jin Luhong , Chen Jincheng , Nedzved Alexander , Ablameyko Sergey , Ma Qing , Yu Jiahui , Xu Yingke
Published: June 2022

Fluorescence microscopy has become an essential tool for biologists, to visualize the dynamics of intracellular structures with specific labeling. Quantitatively measuring the dynamics of moving objects inside the cell is pivotal for understanding of the underlying regulatory mechanism. Protein-containing vesicles are involved in various biological processes such as material transportation, organelle interaction, and hormonal regulation, whose dynamic characteristics are significant to disease diagnosis and drug screening. Although some algorithms have been developed for vesicle tracking, most of them have limited performance when dealing with images with low resolution, poor signal-to-noise ratio (SNR) and complicated motion. Here, we proposed a novel deep learning-based method for intracellular vesicle tracking. We trained the U-Net for vesicle localization and motion classification, with demonstrates great performance in both simulated datasets and real biological samples. By combination with fan-shaped tracker (FsT) we have previously developed, this hybrid new algorithm significantly improved the performance of particle tracking with the function of subsequently automated vesicle motion classification. Furthermore, its performance was further demonstrated in analyzing with vesicle dynamics in different temperature, which achieved reasonable outcomes. Thus, we anticipate that this novel method would have vast applications in analyzing the vesicle dynamics in living cells.
A study on some combinatorial sets in partial semigroups
Authors: Ghosh Arpita
Published: June 2022

In this paper, we investigate the image and preimage of the important combinatorial sets such as central sets, [Formula: see text]-sets, and [Formula: see text]-sets which play an important role in the study of combinatorics under certain partial semigroup homomorphism. Using that we prove certain results that deal with the existence of [Formula: see text]-set which are not central in partial semigroup framework.
Ground state for critical elliptic systems with perturbation term of superlinear type
Authors: Iskafi Khalid , Ahammou Abdelaziz
Published: June 2022

This work deals with the existence of at least one positive ground state solution for a stationary perturbed critical elliptic system with superlinear potential. Our problems involve the critical Sobolev constants which generate the lack of compactness in unbounded domains; we overcome such difficulty by using the concept of the Palais–Smale convergence. We make recourse to the Ekeland variational principle to show that our problem has a positive time-independent solution with positive energy as the total energy of the system.
Twin signed double Roman domination numbers in directed graphs
Authors: Mahmoodi Akram , Atapour Maryam , Aliyar Sattar
Published: June 2022

Let [Formula: see text] be a finite simple directed graph (shortly digraph). A function [Formula: see text] is called a twin signed double Roman dominating function (TSDRDF) if (i) every vertex [Formula: see text] with [Formula: see text] has at least two in-neighbor assigned a 2 or at least an in-neighbor [Formula: see text] with [Formula: see text], also at least two out-neighbor assigned a 2 or at least an out-neighbor [Formula: see text] with [Formula: see text] (ii) every vertex [Formula: see text] with [Formula: see text] is adjacent to at least an in-neighbor and an out-neighbor [Formula: see text] with [Formula: see text] and (iii) [Formula: see text] and [Formula: see text] hold for any vertex [Formula: see text]. The weight of a TSDRDF [Formula: see text] is [Formula: see text], the twin signed double Roman domination number [Formula: see text] of [Formula: see text] is the minimum weight of a TSDRDF on [Formula: see text]. In this paper, we initiate the study of twin signed double Roman domination in digraphs and we present some bounds for [Formula: see text].
CoMeT: An Integrated Interval Thermal Simulation Toolchain for 2D, 2.5D, and 3D Processor-Memory Systems
Authors: Siddhu Lokesh , Kedia Rajesh , Pandey Shailja , Rapp Martin , Pathania Anuj , Henkel Jörg , Panda Preeti Ranjan
Published: June 2022

Processing cores and the accompanying main memory working in tandem enable modern processors. Dissipating heat produced from computation remains a significant problem for processors. Therefore, the thermal management of processors continues to be an active subject of research. Most thermal management research is performed using simulations, given the challenges in measuring temperatures in real processors. Fast yet accurate interval thermal simulation toolchains remain the research tool of choice to study thermal management in processors at the system level. However, the existing toolchains focus on the thermal management of cores in the processors, since they exhibit much higher power densities than memory.

The memory bandwidth limitations associated with 2D processors lead to high-density 2.5D and 3D packaging technology: 2.5D packaging technology places cores and memory on the same package; 3D packaging technology takes it further by stacking layers of memory on the top of cores themselves. These new packagings significantly increase the power density of the processors, making them prone to overheating. Therefore, mitigating thermal issues in high-density processors (packaged with stacked memory) becomes even more pressing. However, given the lack of thermal modeling for memories in existing interval thermal simulation toolchains, they are unsuitable for studying thermal management for high-density processors.

To address this issue, we present the first integrated Core and Memory interval Thermal (CoMeT) simulation toolchain.CoMeTcomprehensively supports thermal simulation of high- and low-density processors corresponding to four different core-memory (integration) configurations—off-chip DDR memory, off-chip 3D memory, 2.5D, and 3D.CoMeTsupports several novel features that facilitate overlying system research.CoMeTadds only an additional ~5% simulation-time overhead compared to an equivalent state-of-the-art core-only toolchain. The source code ofCoMeThas been made open for public use under theMITlicense.
Lead-Tin Laminated All-Perovskite Solar Cells: Verification of Feasibility from the Perspective of Device Simulation
Authors: Wang Zhongyu , Hao Liangsheng , Cheng Zhihai , Zhang Xin , Tao Yuting , Chen Zihao , Song Yubao , Lin Jia , Wu Jiang , Li Wenhao
Published: June 2022

Although conventional lead-based perovskite solar cells have good power conversion efficiency, their toxic drawbacks seriously affect the environment and commercialization. This work introduces lead-tin laminated all-perovskite solar cells, and the addition of a tin-based perovskite layer can reduce this, while effectively compensating for the absorption of light in different wavelength ranges by the lead-based perovskite layer. The SACPS-1D (Solar Cell Capacitance Simulator) was used to study the intrinsic factors affecting each performance parameter of the device and optimize the parameters to maximize the overall performance of the device. We have obtained power conversion efficiency (PCE) of 17.59% and 6.14% lead-based and tin-based single-section perovskite solar cells, which are close to the experimental results. The simulation results show that the n-type doped n-CH3NH3SnI3 layer (electron transport layer ETL) and the p-type doped p-CH3NH3PbI3 layer (hole transport layer HTL) of the lead-tin laminated all-perovskite solar cell have a significant impact on the overall performance of the device. The optimized ETL and HTL are 1000 nm and 200 nm, respectively, which are consistent with the purpose of lead reduction. Accurate control of the n-MASnI3 or p-MAPbI3 to the top region doping concentration is very important process and has a great impact on the open circuit voltage VOC. The optimized ETL and HTL are optimal at 1017 cm−3 and 1014 cm−3, respectively. We also found that in all-perovskite solar cells, the ETL defect density near the light source dominates the overall device effect, and the larger the defect density the worse the device performance. This shows that to improve the performance of laminated all-perovskite solar cells, we need to pay more attention to the quality of the absorber layer close to the light source. Taking these factors into account, we optimized the device performance parameters as VOC = 1.07 V, JSC =19.56 mA cm−2, FF = 70.55% and PCE = 17.29%.
Exact Solutions of Three-Dimensional Max-Type System of Difference Equations
Authors: Khaliq Abdul , Sadiq Stephen , Khan Abdul Qadeer , Ibrahim Tarek F.
Published: June 2022

In this paper, we deal with the form and the periodicity of the solutions of the max-type system of difference equations

u

n
+
1

=
max

A

n

/

v

n

−
1

,

u

n

−
1

,

v

n
+
1

=
max

B

n

/

w

n
−
1

,

w

n
+
1

=
max

C

n

/

u

n
−
1

,

w

n
−
1

where the initial conditions

u

−
1

,

u

0

∈

0
,
∞

,

v

−
1

,

v

0

∈

0
,
∞

,

w

−
1

,

w

0

∈

0
,
∞

 and 

A

n

n
∈

N

0

,

B

n

n
∈

N

0

,

C

n

n
∈

N

0

are positive two-periodic sequences.
Injuries in College Basketball Sports Based on Machine Learning from the Perspective of the Integration of Sports and Medicine
Authors: Zhao Dongming
Published: June 2022

Basketball is one of the popular sports in colleges. Basketball injuries are a common thing, and the use of machine learning and other technologies can effectively reduce basketball injuries, which should start with prevention. Nonstandard basketball movements and lack of physical coordination will not only reduce sports efficiency for athletes but also increase the probability of injury. Therefore, effective reduction and targeted prevention of nonstandard actions are of great significance to college basketball. With the development of science and technology, artificial intelligence technology is closer to our lives. Based on the machine learning platform, this paper studies basketball injuries from the perspective of the integration of sports and medicine. Research on what aspects cause college students’ basketball injuries is needed for the future. Effectively preventing college students from being injured in basketball is an urgent problem in the field of sports medicine. To find the most suitable machine learning platform for college basketball injury research, this article will introduce three different methods for comparative analysis. The techniques used in the experiment in this paper are traditional BP neural network technology, SCG neural network technology, and RBF neural network technology. Through experiments, it is known that, through experiments, RBF neural network technical prediction accuracy rate is as high as 95.4%, which is a relatively good neural network algorithm for studying the basketball loss of college students.
Collaborative Optimization of Passenger Control Strategy and Train Operation Plan with Variable Formations for a Rail Transit Network
Authors: Yin Yonghao , Chen Jun , Zhao Wenrui
Published: June 2022

We proposed a passenger control strategy and train operation plan collaborative optimization (PCS&TOP) model to schedule the train operation that improves the efficiency of passengers’ travel and reduces the cost of train operation for a rail transit network. The model is an integer non linear programming model that aims to minimize the entrance and platform waiting time of passengers and the operation cost of trains. The timetable and variable train formation are integrated optimized, and the turnaround of rolling stock is also considered by constructing the train operation constraints for the model. The coordination of timetables on different lines and the coordination of passenger control strategies at different stations are mentioned by considering the transfer passengers when constructing the passenger control constraints. To solve the model, a multi-operator simulated annealing (MOSA) algorithm that includes three types of execution operators corresponding to three main decision variables is proposed. A numerical case that includes 2 bidirectional crossed lines and a real-world case from China are introduced to test the efficiency of the proposed method, which demonstrates better performance than the single and respective optimization solutions.
miR-124-3p Combined with ANGPTL2 Has High Diagnostic Values for Obese and Nonobese Polycystic Ovary Syndrome
Authors: Dai Hongmei , Liu Fangting , Lu Jianshu , Yang Yan , Liu Pingping
Published: June 2022

Polycystic ovary syndrome (PCOS) is a hormonal disorder that affects 5–20% of women of reproductive age. Interestingly, serum miR-124-3p and ANGPTL2 are differentially expressed in PCOS patients. Accordingly, this study set out to explore the clinical roles of serum miR-124-3p/ANGPTL2 in PCOS. Firstly, miR-124-3p/ANGPTL2 expression patterns were detected in the serum of 102 PCOS patients and 100 healthy subjects. miR-124-3p or/and ANGPTL2 diagnostic efficacy on PCOS was further analyzed, in addition to the measurement of lipid metabolism, glucose metabolism, sex hormone indexes, and inflammation levels. Correlations between serum miR-124-3p/ANGPTL2 expressions and age, BMI, Ferriman–Gallwey score, lipid metabolism, glucose metabolism, sex hormone indexes, TNF-α, and IL-6 in PCOS patients were determined. The expression correlation and binding relationship of ANGPTL2 and miR-124-3p were identified. In addition, miR-124-3p was downregulated and ANGPTL2 was upregulated in the serum of obese and nonobese PCOS patients. miR-124-3p expression was found to be negatively correlated with Ferriman–Gallwey score and serum total testosterone (T), and negatively related to prolactin (PRL). ANGPTL2 expression was positively correlated with FNS and inversely linked with PRL. TNF-α and IL-6 were negatively correlated with miR-124-3p, but positively correlated with ANGPTL2. Furthermore, there was a negative correlation and a targeting relationship between ANGPTL2 and miR-124-3p expression in the serum of obese and nonobese PCOS patients. Collectively, our findings indicated that miR-124-3p might target ANGPTL2 expression in obese and nonobese PCOS patients, and further underscored the diagnostic value of their combination.
Exploring the Interplay between Metabolism and Tumor Microenvironment Based on Four Major Metabolism Pathways in Colon Adenocarcinoma
Authors: Qiao Xiaofang , Zhang Guangmei , Xiao Yajie , Cui Xiaoli , Zhao Zhikun , Wu Dongfang , Liu Xuefei
Published: June 2022

Tumor metabolism plays a critical role in tumor progression. However, the interaction between metabolism and tumor microenvironment (TME) has not been comprehensively revealed in colon adenocarcinoma (COAD). We used unsupervised consensus clustering to establish three molecular subtypes (clusters) based on the enrichment score of four major metabolism pathways in TCGA-COAD dataset. GSE17536 was used as a validation dataset. Single-cell RNA sequencing data (GSE161277) was employed to further verify the reliability of subtyping and characterize the correlation between metabolism and TME. Three clusters were identified and they performed distinct prognosis and molecular features. Clust3 had the worst overall survival and the highest enrichment score of glycolysis. 86 differentially expressed genes (DEGs) were identified, in which 11 DEGs were associated with favorable prognosis and 75 DEGs were associated with poor prognosis. Striking correlations were observed between hypoxia and glycolysis, clust3 and hypoxia, and clust3 and angiogenesis (

P
<
0.001

).We constructed a molecular subtyping system which was effective and reliable for predicting COAD prognosis. The 86 identified key DEGs may be greatly involved in COAD progression, and they provide new perspectives and directions for further understanding the mechanism of metabolism in promoting aggressive phenotype by interacting with TME.
Evaluation of the Support Structure Removal Techniques for Additively Manufactured Ti6AL4V Parts
Authors: Ameen Wadea , Al-Ahmari Abdulrahman , Mohammed Muneer Khan , Abdulhameed Osama
Published: June 2022

Support structures are required for overhanging surfaces in additive manufacturing to prevent part deformation. However, these support structures are undesirable because they are removed during postprocessing after the part is built. It is critical to remove metal support structures because they can occasionally leave residue on the part. Among the various support-removal techniques, manual removal and wire electrical discharge machining (EDM) are the most frequently used. While most manufacturers recommend the manual method due to its economic benefits, it may be challenging for thin walls, small-scale components, and brittle materials. The purpose of this study is to evaluate and compare these two methods, taking into account both their advantages and disadvantages. The results indicate that while manual support-removal is quick, it results in a degraded surface topography and increased surface roughness due to support tooth remnants and residue. The wire EDM method of removing support resulted in a more uniform surface topography and a superior surface finish. However, as a result of thermal damage, a heat-affected zone developed on the machined surface.
Traffic Equilibrium Problems with Cross-Boundary Traffic: A Tradable Credit Approach
Authors: Liang Qingnan , Sumalee Agachai , Zhong Renxin
Published: June 2022

This study studies the tradable credit scheme design problem considering a mixture of local traffic and cross-boundary traffic. The local traffic refers to the travel demand generated by local residents with O-D pairs inside the network, while the cross-boundary traffic is the traffic with either origin or destination or both be outside the network. As the local authority aims to maximize its local social welfare, it determines the quantity of cross-boundary trips by evaluating the revenue of the cross-boundary traffic. Two credit charging schemes are investigated, i.e., a spatially differentiated credit scheme and an anonymous tradable credit scheme. In the first scheme, due to the different charging prices and the selfishness of the local authority, the travel credits are freely tradable within the local travellers only. The cross-boundary travellers have to buy travel credits from the local authority. In the second scheme, the tradable credit scheme is anonymous. The local authority determines the link-specific number of credits to be charged for using that link, while the travel credits are distributed to local travellers only but are allowed for free trading among both local and cross-boundary travellers. Two standard multi-class traffic equilibrium problems are established with side constraints and a credit restriction constraint. The equilibrium link flow patterns under these credit schemes are then demonstrated with local elastic demand. In both tradable credit schemes, the credit price in the trading market is unique under the equilibrium condition.
Design and Optimization of Hotel Management Information System Based on Artificial Intelligence
Authors: Zhou Wenzhe , Liu Zilu
Published: June 2022

With the improvement of people’s living standards, the traditional hotel management model has been unable to meet the needs of customers. The traditional hotel management model also has the defects of low efficiency. The hotel management model is also gradually developing towards the direction of intelligence. The combination of artificial intelligence technology and hotel management can not only improve the operation efficiency of the hotel but also solve the operation cost of the hotel. For customers, artificial intelligence technology can bring smarter and more comfortable accommodation conditions to customers. This study uses the convolutional neural network (CNN) and long short-term memory (LSTM) technology in artificial intelligence technology to conduct related research on the in-store mode, entertainment mode, sleep mode, and out-of-store mode in hotel management. CNN is used to extract the spatial features of hotel management, and LSTM is used to extract the temporal features of hotel management. The research results show that CNN and LSTM technology can help hotel management achieve intelligent management and optimization. CNN and LSTM techniques can better predict related factors in-store entry mode, entertainment mode, and sleep mode. For the correlated predictions of these four modes, the maximum prediction error is only 2.81%. The linear correlation coefficient also reached above 0.96. The relevant parameters of artificial intelligence technology are also suitable for the optimization and design of hotel information systems.
Bond-Slip Behavior between Plastic Bellow and Concrete
Authors: Zhu Eryu , Li Teng , Liu Haoran , Zhu Chunqi , Liu Lei , Tian Yuanyuan , Li Yujie , Yang Wei
Published: June 2022

Despite the widespread use of plastic bellows in prestressed channels, their poor bonding with concrete and mortar results in “layering,” which limits their application in practical engineering. In this study, the bonding property between plastic bellows and concrete or grout material was investigated using a single-end compression test on plastic bellow concrete. The slip failure mode, ultimate load, and slip of plastic bellows were obtained. Furthermore, the analysis of the bond-slip properties of plastic bellows indicated that the bond strength decreased with increasing bond length. Moreover, the increase in the loading force was greater than the increase in the contact area. Based on the test data, a bond-slip constitutive relationship model was established, which accurately reflects the bond-slip process. The expressions of bond and slip were derived along with different bond positions of plastic bellow concrete specimens. Finally, a three-dimensional finite element model of a plastic bellow concrete specimen was established. The numerical simulation curve was compared with the experimental and fitting curves. The results indicated that the bond strength of the plastic bellow concrete specimen decreased with increasing bond length. The influence of bond strength on the contact area was comprehensively analyzed. This study effectively combines experimental research, theoretical analysis, and numerical simulation to analyze the bond performance between plastic bellows and concrete or grout material.
The Importance of Social Networks in Enhancing the Dimensions of Citizenship among Students in Saudi Arabia
Authors: Ben Ltaifa Monia , Derbali Abdelkader Mohamed Sghaier
Published: June 2022

The study aims to reveal the role of social networks in enhancing the dimensions of citizenship among university students in Saudi Arabia and aims to test the significance of the differences between the averages of the role according to the gender variable. To do so, the descriptive approach was used, where a questionnaire was prepared consisting of 20 phrases distributed on five axes: knowledge related to citizenship, community participation, political participation, global citizenship, and digital citizenship. After verifying the validity and stability of the study tool, it was applied to the sample, consisting of 1000 students, who were chosen randomly, in 2021. Our results show that the level of the role of social networks in enhancing the dimensions of citizenship among Saudi students came at a large level in the total axes of the study, the arithmetic mean was 4.43, and the results indicated that there were no statistically significant differences at the significance level (α = 0.05) between males and females in general average. One of the most important recommendations of this study is to increase the interest in educating students about dealing with communication networks; a set of proposals for future studies were also discussed.
Convergence of Generalized Quasi-Nonexpansive Mappings in Hyperbolic Space
Authors: Saleem Naeem , Rashid Maliha , Jarad Fahd , Kalsoom Amna
Published: June 2022

In this article, we consider a wider class of nonexpansive mappings (locally related quasi-nonexpansive) than monotone nonexpansive mappings. We obtained the convergence of fixed point for quasi

ϱ

-preserving locally related quasi-nonexpansive mappings in hyperbolic space. An iterative process is also used to obtain the convergence results for this mapping. Fixed point is approximated numerically in a nontrivial example by using Matlab.
The Modified Glasgow Prognostic Score Predicts Survival in Gastric Cancer Patients with Normal CEA and CA19-9
Authors: Zhang Shun , Li Jing-Ze , Du Tao , Li Hai-Qiang , Hu Ren-Hao , Ma Chi-Ye , Cui Xi-Mao , Song Chun , Jiang Xiao-Hua
Published: June 2022

Background. Traditionally, serum CEA and CA19-9 levels are good prognostic factors for gastric cancer. Many gastric cancer patients do not have elevated CEA or CA19-9 levels even at a very advanced stage. This study investigates the significance of the modified Glasgow prognostic score (mGPS) for the survival of gastric cancer patients with normal CEA and CA19-9. Methods. We retrospectively examined 488 curatively resected gastric cancer patients with normal preoperative serum levels of CEA and CA19-9 to evaluate the prognostic ability of mGPS for overall survival. The prognostic significance was analyzed by univariate and multivariate analyses. Results. Age, hemoglobin, white cell count, and neutrophils were each significantly correlated with the mGPS. Multivariate analyses showed that tumor location (HR, 0.803; 95% CI, 0.667–0.966;

P
=
0.020

), TNM stage (HR, 2.714; 95% CI, 2.250–3.275;

P
<
0.001

), and mGPS (HR, 1.042; 95% CI, 1.105–1.772;

P
=
0.023

) were significantly associated with overall survival. Significant correlations were found between overall survival and mGPS. The Kaplan–Meier analysis demonstrated significant differences among patients with mGPS of 0, 1, and 2

P
<
0.001

, with the mortality rate being higher for patients with a higher mGPS. Conclusion. The mGPS can predict survival in gastric cancer patients with normal CEA and CA19-9.
Amorphous Alloys and Ferroelectric Nanomaterials and the Repair of Athletic Ligament Injuries in Soccer
Authors: Ma Chao
Published: June 2022

Amorphous alloy refers to the orderly arrangement of the internal structure of various substances in nature. Amorphous solid materials include amorphous inorganic materials, amorphous polymers, and amorphous alloys. Amorphous alloys, also known as glassy alloys or metallic glasses, are atomically condensed, long‐range disordered, and short‐range ordered alloy materials that have the distinctive properties of both metals and glasses. Ligament injury is damage caused by different degrees of damage to the ligaments of a certain part of the body. The purpose of this paper is to investigate amorphous alloys and ferroelectric nanomaterials and the repair of athletic ligament injuries in the soccer game, using the excellent properties of amorphous alloys and ferroelectric nanomaterials to solve the problem of athletic injuries. Knee and ankle injuries and muscle strains account for a large percentage of soccer injuries. In this paper, researches and explorations have been conducted on the preparation of new composite magnetic nanomaterials, the construction of immunosensor interfaces, and the development of new signal amplification and renewable immunosensors. The rehabilitation effect of the medial collateral ligament of the athlete’s knee joint is used as the research object, and various methods are used. In‐depth investigation and research and statistical analysis of the data obtained one by one were carried out. The experimental results in this article show that from the age of ligament injury, the number of people between 18 and 20 is relatively small, and the number of people aged 20–40 is relatively large. The number of people who have been trained for three years and above is 5, and the proportion of ligament injuries is 0.8%; the number of training for two years is 33, and the proportion of ligament injuries is 13.7%, the number of training for one year is 98, and the proportion of ligament injuries is 40.7%, and the number of training for six months is 105, and the proportion of ligaments is 44.8%.
GSK3B Overexpression Alleviates Posttraumatic Osteoarthritis in Mice by Promoting DNMT1-Mediated Hypermethylation of NR4A3 Promoter
Authors: Lv Zhou , Sun Deping , Li Xin , Wu Gang
Published: June 2022

Background. Glycogen synthase kinase 3β (GSK3B) is reported to be a protective factor for the degradation of chondrocytes by extracellular mechanisms. Nuclear receptor subfamily 4 group A member 3 (NR4A3) is a proinflammatory factor in osteoarthritis. Their regulation mechanism in posttraumatic osteoarthritis (PTOA) is not fully understood. Methods. GSK3B expression in the cartilage tissue of PTOA patients was analyzed by western blotting. IL-1β-induced chondrocytes were transfected with pcDNA-GSK3B, and then, the cell viability, apoptosis, expression of the chondrocyte extracellular matrix degradation-related genes MMP13, aggrecan, and type II collagen, and secretion of inflammatory factors TNF-α and IL-6 were detected. Co-IP was used to analyze the interaction between GSK3B and DNMT1. Ch-IP and methylation-specific PCR assays were used for methylation. Also, cells were transfected with pcDNA-GSK3B or together with pcDNA-NR4A3, as well as transfected with si-NR4A3, and then, cell functions were tested. Then, the mice subjected to destabilization of medial meniscus (DMM) surgery were intra-articular injected with 100 μL of the following adeno-related virus vectors (empty vector, Ad-GSK3B, scrambled shRNA, and sh-NR4A3), respectively, and the virus titer was

2
×

10

8

 
TU
/
mL

. Cartilage integrity was evaluated by safranin O/fast green staining, HE staining, and Osteoarthritis Research Society International (OARSI) score. Results. The expression of GSK3B protein was downregulated in PTOA patients. GSK3B overexpression alleviated IL-1β-induced chondrocyte apoptosis and extracellular matrix degradation, as well as cartilage mineralization in PTOA model mice. NR4A3 overexpression reversed the effect of GSK3B on IL-1β-induced chondrocyte functions. GSK3B could recruit DNMT1 to the NR4A3 promoter region to promote the methylation of NR4A3 and inhibit the expression of NR4A3 protein. Similarly, NR4A3 interference alleviated cartilage degradation under stimulating conditions by inhibiting the activation of the JAK2/STAT3 signaling pathway. Conclusion. GSK3B recruits DNMT1 to the NR4A3 promoter region and inhibits the activation of the NR4A3-mediated JAK2/STAT3 signaling pathway, thereby alleviating PTOA.
circ-RANGAP1/MicroRNA-542-3p/Myosin Regulatory Light Chain Interacting Protein Axis Modulates the Osteosarcoma Cell Progression
Authors: Sheng Jundong , Liu Jin , Du Junwang , Wang Yongping
Published: June 2022

Objective. This study is aimed at exploring the influence of circular RNA- (circRNA-) RANGAP1 targeting microRNA- (miR-) 542-3p/myosin regulatory light chain interacting protein (MYLIP) on the biological function of osteosarcoma (OS) cells. Methods. Tumor tissues and normal tissues were collected from OS patients and circ-RANGAP1, miR-542-3p, and MYLIP expression was tested by RT-qPCR. The correlation between the clinicopathology/prognosis of patients with OS and circ-RANGAP1 expression was observed. Human OS cell line MG-63 was screened to determine the influences of circ-RANGAP1 and miR-542-3p on OS cell progression. The targeting relation of circ-RANGAP1, miR-542-3p, and MYLIP was probed. Results. circ-RANGAP1 expression was elevated in tumor tissues from OS patients, which was correlated to the poor clinicopathology. circ-RANGAP1 expression was augmented in males or patients younger than 20 years old or patients with advanced OS. Higher circ-RANGAP1 expression indicated a poor prognosis in OS patients. After silencing circ-RANGAP1 or elevating miR-542-3p in MG63 cells, cell progression was limited. miR-542-3p downregulation reduced the therapeutic efficacy of silenced circ-RANGAP1. circ-RANGAP1 bound with miR-542-3p to target MYLIP. Conclusion. Silenced circ-RANGAP1 boosts MYLIP expression via competitive binding of miR-542-3p to facilitate OS cell progression.
Effect of Occupation Performance Coaching with Four-Quadrant Model of Facilitated Learning on Children with Specific Learning Disorder
Authors: Ghaffari Amin , Azad Akram , Zarei Mehdi Alizadeh , Rassafiani Mehdi , Sharif Nia Hamid
Published: June 2022

Background. Children with a specific learning disability (SLD) have deficits in everyday occupations along with executive function in addition to academic issues. Objective. The present study is aimed at investigating the effectiveness of Occupational Performance Coaching (OPC) and the Four-Quadrant Model of Facilitated Learning (4QM) interventions on the participation in occupational performance and executive function skills in children with SLD. Method. This study was a single-case experimental design (multiple baselines) in which six children with SLD were randomly assigned to three groups. In the baseline phase, three groups of children underwent repeated executive function assessments using the Stroop Color and Word Test (SCWT) and the Wisconsin Card Sorting Test (WCST) in the multiple baselines. In the intervention phase, all six mothers of children with SLD individually received OPC and 4QM interventions once a week for 14 sessions of 60 minutes and during this period, children were evaluated six more times for executive function skills according to SCWT and WCST. In addition, The Canadian Occupational Performance Measure (COPM) and Behavior Rating Inventory of Executive Function (BRIEF) at the beginning and the end of the baseline phase and the end of the intervention phase were completed by mothers of children with SLD. Results. More than 50% PND of the SCWT and WCST in the visual analysis graph’s information along with significant changes in COPM scores and large effect size of BRIEF subscales (Cohen’s

d
≥
0.8

) in pre- and postintervention showed the effectiveness of OPC and 4QM on the participation in occupational performance and executive function skills in children with SLD. Conclusion. The results of the study support the effectiveness of OPC and 4QM interventions on children with SLD. However, research with more participants and experimental methods can provide further evidence.
Safety, Tolerability, Pharmacokinetics, and Efficacy of Terlipressin Delivered by Continuous Intravenous Infusion in Patients with Cirrhosis and Refractory Ascites
Authors: Bajaj Jasmohan S. , Fischer James H. , Yeramian Patrick , Gavis Edith A. , Fagan Andrew , Angeli Paolo , Garcia-Tsao Guadalupe , Adams Jonathan M. , Markham Penelope
Published: June 2022

Background. Terlipressin is a long acting synthetic analogue of vasopressin, which is used to manage variceal bleeding and hepatorenal syndrome. Terlipressin is being developed to treat refractory ascites in cirrhotic patients who are no longer responsive to diuretic drugs and require repeated paracentesis. This study evaluated the safety, tolerability, pharmacokinetics (PK), and efficacy of a continuous intravenous (IV) infusion of terlipressin as an outpatient treatment for refractory ascites in patients with advanced liver cirrhosis. Methods. This was an open-label Phase 2a trial. Patients received a continuous IV infusion of terlipressin 2 mg/day escalating to 4 mg/d during an initial 7-day inpatient period, followed by 21 days as outpatients. The PK, safety/tolerability, and effects on the need for and volume of paracentesis were evaluated. Results. Four of 6 patients experienced ≥50% increase in the interval between large volume paracenteses (LVP) with terlipressin. The volume of ascites removed by LVP in the 28-day treatment period was reduced in all patients by ≥30% compared with pretreatment. Terlipressin was rapidly eliminated with a mean half-life of 42.3 minutes, mean clearance of 5.6 mL/min/kg, and volume of distribution of 0.33 L/kg. Average steady state plasma concentrations ranged from 1.69 to 5.55 ng/mL and increased proportionally with increasing dose. Three (50.0%) patients reported treatment-related adverse events, but none were serious. Conclusion. Continuous terlipressin IV infusion improved control of refractory ascites with an acceptable safety and predictable PK profile. Further evaluation of terlipressin is warranted in a randomized controlled trial for treating refractory ascites and related complications of cirrhosis.