bluuebunny/crossref_metadata_2025 huggingface dataset:
Stochastic-Deterministic Assessment of Electric Field Radiated by Base Station Antenna above a Two-Layered Ground
Authors: Galić Marin , Šušnjara Anna , Poljak Dragan
Published: May 2022

The paper deals with stochastic-deterministic modelling of radiated electric field by base station antennas (BSAs) operating in GSM frequency range. Within the framework of deterministic analysis, the total electric field above a two-layered lossy ground is obtained by considering the incident and reflected ray in the far field zone. The influence of nonhomogeneous lower medium is taken into account via two approaches: Fresnel plane wave reflection coefficient (FRM) and simplified reflection coefficient stemming from Modified Image Theory (MIT). Antenna height, relative conductivity, and permittivity of each ground layer, as well as the thickness of the upper ground layer, are considered as input parameters with inherent uncertainty. To quantify the uncertainty of output electric field, deterministic models are treated as black boxes by two stochastic methods, Monte Carlo (MC) and Stochastic Collocation (SC), respectively. Stochastic mean and standard deviation of the output are computed, and sensitivity analysis is carried out in order to analyze the impact of input parameters’ variations on the resulting electric field variance. The presented results expose weakness and strength of the two stochastic methods, particularly identifying the cases when the preferred SC method fails to converge. Furthermore, sensitivity analysis reveals that despite the smallest variation around its respective average value, the antenna height has the highest impact on the output variance at observation points in the vicinity of the antenna. However, as the distance from the antenna increases, the 1st layer depth and its relative electric permittivity become the most significant parameters.
Asymptotic Behavior of an Optimal Investment‐Reinsurance Problem with General Utility Functions
Authors: Zhang Yan , Zhao Peibiao
Published: May 2022

It is usually extremely difficult to derive an analytical solution to the Hamilton‐Jacobi‐Bellman (HJB) equation for some optimal control problems under general utility functions, while this paper provides a dual control method to solve the HJB equation for an optimal investment‐reinsurance problem with general utility functions. We first change the HJB equation into its dual one. By solving the solution to the dual HJB equation, we derive a classical solution to the primal HJB equation and obtain the expression of the optimal investment‐reinsurance strategy, then some examples, which would be difficult to solve with the standard method, are given to demonstrate the usefulness of our dual control method. Moreover, applying the dual method along with the partial differential equation method, we verify the asymptotic behavior of the optimal control strategy, which means that the optimal investment‐reinsurance strategy with the general utility functions converges to that with the power utility function at any level of the initial wealth.
An Elementary Solution to a Duffing Equation
Authors: Salas Alvaro H.
Published: May 2022

In this work, we study the Duffing equation. Analytical solution for undamped and unforced case is provided for any given arbitrary initial conditions. An approximate analytical solution is given for the damped or trigonometrically forced Duffing equation for arbitrary initial conditions. The analytical solutions are expressed in terms of elementary trigonometric functions as well as in terms of the Jacobian elliptic functions. Examples are added to illustrate the obtained results. We also introduce new functions for approximating the Jacobian and Weierstrass elliptic functions in terms of the trigonometric functions sine and cosine. Results are high accurate.
Fuzzy Comprehensive Evaluation of Maritime Boundary Delimitation Schemes Based on AHP-Entropy Weight Method
Authors: Wang Degang , Li Dongling , Dou Yujuan , Tan Yonghua , Zhang Zhenke , Lv Dui’an , Cheng Jie
Published: May 2022

The basic science region of marine management boundary lines among different provinces within the extent at least of the territorial sea is of great means to promote the sustainable growth of China's marine economy. There are 11 provinces along the coastal regions of the Chinese Mainland, and the scientific division of marine management boundaries among different provinces within the extents of the territorial sea is of great importance in promoting the sustainability of China's marine economy. We conducted a case study of maritime boundary demarcation between Jiangsu and Shandong Provinces, and a fuzzy evaluation index system with 14 indices in three subsets was developed to evaluate the benefits and drawbacks of maritime boundary delimitation, determine the optimal scheme, and address shortages in the current evaluation indicators and evaluation methods. The analytic hierarchy process (AHP) and the entropy weight method were used to calculate the combined weights of indices. Three maritime border delimitation schemes, namely, the historical boundary delimitation scheme, angle bisector delimitation scheme, and equidistance delimitation scheme, were evaluated using the comprehensive evaluation indices. Results show that the equidistance delimitation scheme is relatively superior to the two other schemes. The evaluation index is 0.504761, and the evaluation grade is “good.” The second best delimitation scheme is the angle bisector. The grade is “moderate,” and the evaluation index is 0.361641. The most ineffective boundary delimitation scheme is the historical one. The grade is “bad,” and the evaluation index is 0.135345. More consideration should be given to people's livelihoods and the safeguarding of national marine rights and interests in the late optimization of maritime boundary delimitation schemes. The fuzzy comprehensive evaluation technique based on AHP-entropy weight can help decision-makers choose the optimum scheme by providing a quantitative top-down sequence of schemes in terms of quality and solving estimate difficulties in maritime boundary delimitation schemes. As a result, it has a wide range of applications.
Classical Inference of the Cubic Transmuted Lindley Distribution under Type-II Censored Sample
Authors: Islam Khan Md. Awwal , Alharthi Amirah Saeed , Aljohani Hassan M. , Jawa Taghreed M. , Sayed-Ahmed Neveen , Rana Md. Shohel , Rahman Md. Mahabubur
Published: May 2022

Statistician always tries to find an easy method that gives a suitable fit. However, proposing a new distribution always solves many statistical problems. In this paper, we introduce a new extension of the Lindley distribution. We made a statistical inference under complete and Type-II censored sample on a new extension of the Lindley distribution. We have deduced its PDF and CDF using a cubic transmuted family that is because the new equations are very easy in computation. We called the new form the cubic transmuted Lindley distribution. The probability distribution function and the cumulative distribution function were also written as a closed form along with some mathematical properties. The classical method, which is the maximum likelihood estimation technique and maximum product of spacing technique, was used to find the estimators of the unknown model parameters. At last, to prove the superiority and applicability of the model, three real data sets are implemented and compared using the proposed method. We made a comparison with some of its baseline distributions and some other extensions, and our model outperforms the published ones.
Household Level Determinants of Food Insecurity in Rural Ethiopia
Authors: Mengistu Sintayehu Workineh , Kassie Abere Wondimu
Published: May 2022

Introduction. Currently, Ethiopia, in particular, the rural areas of Ethiopia, faces high levels of food insecurity. In spite of the fact that there have been many studies on food security, most of them have been conducted in specific national settings. Hence, the determinants of food insecurity should be assessed at the national level. Therefore, this study was primarily aimed to identify the determinant factors of household food insecurity in rural Ethiopia. Method. A cross-sectional Ethiopian socioeconomic survey (ESS) data collected from September 2018 to August 2019 was utilized. A sample of 3115 households was selected from 316 clusters across rural Ethiopia using a two-stage probability sampling technique. To identify the determinants of food insecurity, logistic regression was applied. Results. Among 3,115 households, 50.05% of them were food insecure. Factors such as the household head being aged from 30 to 64 (AOR = 0.786, 95% CI: [0.635, 0.973]), widowed, divorced, or separated (AOR = 1.588, 95%CI: [1.001, 2.518]), literate (AOR = 0.702, 95%CI: [0.590, 0.834]), household aid (AOR = 1.339, 95%CI: [1.089, 1.648]), drought-affected (AOR = 0.640, 95%CI: [0.507, 0.808]), nonagricultural business (AOR = 0.655, 95%CI: [0.472, 0.908]), dependency ratio from 50 to 75% (AOR = 0.680, 95%CI: [0.534, 0.867]), having 6 to 10 livestock (AOR = 0.644, 95%CI: [0.496, 0.836]), and more than 10 livestock (AOR = 0.362, 95% CI: [0.284, 0.461]) were found to be significantly associated with the household’s food insecurity at 5% level of significance. Conclusion. The household head’s age from 30 to 64, being literate, drought-affected, having nonagricultural business, dependency ratio from 50 to 75%, and owning more than 10 livestock have been negatively affecting food insecurity. While supporting households, a “widowed, divorced, or separated” household head has had a positive effect on food insecurity in rural Ethiopia positively influencing food insecurity in rural Ethiopia. Policymakers need to pay special attention to very young and old-aged household heads, adult education, household self-help, livestock improvement, and entrepreneurship while implementing poverty reduction programs.
Oil Painting Art Style Extraction Method Based on Image Data Recognition
Authors: Guo Wei
Published: May 2022

This paper introduces the background and significance of oil painting art style research and summarizes the concept and development of oil painting. Based on the research of image data recognition technology, a new method of oil painting art style extraction based on image data recognition is proposed. The visual features of oil painting images in hue, lightness, and purity are calculated in color space, which are divided into global color features and local color features. Color image boundaries are obtained by using structures of various scales, and then the boundaries are synthesized by multiscale merging algorithm to obtain the boundary results. Using a module fixing and dividing method, we can get the local area that can best show the characteristics of the writer’s painting style. The oil paintings are described by the key region algorithm, and then their artistic style features are obtained. Experiments show that this method is effective and reliable, and the recognition rate of this algorithm is higher than that of other algorithms. This study not only solves the problem that the selection of local areas is too subjective, but also provides new ideas for the study of oil paintings.
Application of Impact Imaging Method on Nondestructive Detection of Void Defects in Sandwich-Structured Immersed Tunnel
Authors: Liu Ruiqiang , Zhang Guoxin , Li Songhui , Feng Shaokong , Xin Jianda
Published: May 2022

Sandwich-structured immersed tunnel is an essential component in the field of cross-sea tunnel structural engineering which has a complicated internal structure. The void defects between the contacting surface of the steel and concrete reduce the carrying capacity of the structure. There are presently no effective, rapid, and accurate methods for detecting the casting quality of steel-shell concrete. Based on the propagation law of elastic stress waves in different media and the theory of a near-source wavefield, a prototype experiment on the nondestructive detection of void defects in sandwich-structured immersed tunnel was conducted. The experiment firstly determined the detection criterion for the impact imaging method through the features of the waveform data collected from 2 compartments (12 opening positions) of the full-scale model and then used the detection criterion to perform blind tests on the other 12 compartments of the full-scale model. The blind tests’ results of 72 opening positions showed that the prediction precision is 87.5% and thereby verify the applicability and accuracy of the detection criterion of the impact imaging method.
Zizhu Ointment Accelerates Wound-Healing of Diabetic Ulcers through Promoting M2 Macrophage Polarization via Downregulating the Notch4 Signaling Pathway
Authors: Huang Renyan , Hu Xiaoming , Li Wenhui , Wang Lixiang , Fan Weijing , Han Qiang , Guo Fang , Liu Guobin
Published: May 2022

Objective. The long-term clinical practice shows that Zizhu ointment (ZZO) is an empirical formula for the treatment of diabetic ulcers (DUs). In this study, we investigated the underlying mechanism of ZZO in the treatment of DU mice. Methods. Through streptozotocin induction and high-fat diet, a DU mouse model was established and ZZO was given for treatment. The activation of Notch4 signaling was examined by immunofluorescence staining, RT-PCR, as well as Western blotting. Flow cytometry was performed to detect the counts of F4/80+ cells, M1 and M2 macrophages, as well as the expression of CD11c, CD206, etc. The role of Notch4 in wound healing in diabetic mice was verified by Notch4 inhibitors and agonists. Results. Accelerated wound healing and decreased expression levels of Notch4 and its target genes and ligands were observed in diabetic mice treated with ZZO. ZZO promoted M2 macrophage polarization, downregulated the expression of proinflammatory factors, and upregulated the levels of anti-inflammatory factors. The same tendency was observed in diabetic mice after treatment with Notch4 inhibitors. Knockout of Notch4 accelerated the wound healing rate as well. Conclusions. ZZO accelerates wound healing of diabetic mice through inhibiting the activation of Notch4 signaling, promoting M2 macrophage polarization, and alleviating inflammation.
Leakage Prediction in Machine Learning Models When Using Data from Sports Wearable Sensors
Authors: Dong Qizheng
Published: May 2022

One of the major problems in machine learning is data leakage, which can be directly related to adversarial type attacks, raising serious concerns about the validity and reliability of artificial intelligence. Data leakage occurs when the independent variables used to teach the machine learning algorithm include either the dependent variable itself or a variable that contains clear information that the model is trying to predict. This data leakage results in unreliable and poor predictive results after the development and use of the model. It prevents the model from generalizing, which is required in a machine learning problem and thus causes false assumptions about its performance. To have a solid and generalized forecasting model, which will be able to produce remarkable forecasting results, we must pay great attention to detecting and preventing data leakage. This study presents an innovative system of leakage prediction in machine learning models, which is based on Bayesian inference to produce a thorough approach to calculating the reverse probability of unseen variables in order to make statistical conclusions about the relevant correlated variables and to calculate accordingly a lower limit on the marginal likelihood of the observed variables being derived from some coupling method. The main notion is that a higher marginal probability for a set of variables suggests a better fit of the data and thus a greater likelihood of a data leak in the model. The methodology is evaluated in a specialized dataset derived from sports wearable sensors.
Durability Capacity Change of Rubber Powder Composite BRA Modified Asphalt Mixture
Authors: Pan Qiyu , Pang Huandong
Published: May 2022

Both engineering practice and literature confirm that the high modulus asphalt mixture has superior performance. If modified, the final asphalt mixture can effectively improve the service life of asphalt pavement. Therefore, the design and test of this paper are trying to mix rubber powder and BRA to prepare high modulus Sup-13 asphalt mixture. Through a series of experimental studies, this paper discusses the effect of adding rubber powder and BRA separately and the effect of adding both rubber powder and BRA into asphalt mixture on its durability. The experimental part mainly focuses on the composite modified asphalt mixture water resistance test, the high temperature stability test, and the low temperature crack resistance test, and it is concluded that the rubber powder and the BRA compound modification can equalize the improvement effect of strength, modulus, and strain. For this reason, if the rubber powder with finer particle size is adopted to modify the asphalt mixture, the low temperature crack resistance of the specimen will improve apparently.
On the Supply Chain Coordination with Trade Credit and Partial Backorder under CVaR Criterion
Authors: Wu Gaoke , Feng Bo , Wang Chengfei
Published: May 2022

For the secondary supply chain composed of a supplier with sufficient funds and a retailer with limited funds and risk aversion, to enhance the supply chain stability and comprehensively improve benefits, the supply chain members may choose to implement a supply chain’s coordination strategy. Thus, we study the following supply chain coordination problems, i.e., the supplier provides a trade credit policy and signs a buyback contract for the surplus products with the retailer. For this, based on maximizing the benefits of supply chain members, the supply chain coordination model has been established. By analyzing two participants’ benefit, the supply chain’s optimum coordination mechanism is obtained. The theoretical results are verified by numerical experiments.
Attenuation of Some Inflammatory Markers by Endurance Training in the Spinal Cord of Rats with Diabetic Neuropathic Pain
Authors: Habibi Abdolhamid , Taheri Asma , Habibi Saba
Published: May 2022

Nervous inflammation is an important component of the pathogenesis of neurodegenerative diseases including chronic diabetic neuropathic pain. In order to obtain a decrease in the progression of diabetic neuronal damage, it may be necessary to examine therapeutic options that involve antioxidants and anti‐inflammatory agents. The aim of this study was to investigate the attenuation of inflammatory factors with endurance training in the spinal cord of rats with neuropathic pain. Thirty‐two 8‐week‐old male Wistar rats (with a weight range of 204 ± 11.3 g) were randomly divided into 4 groups (n = 8), including (1) diabetic neuropathy (50 mg/kg streptozotocin intraperitoneal injection), (2) diabetic neuropathy training (30 minutes of endurance training at 15 meters per minute, 5 days a week for 6 weeks), (3) healthy training, and (4) healthy control. After confirmation of diabetic neuropathy by behavioral tests, training protocol and supplementation were performed. The NLRP3, P38 MAPK, TNF‐α, and IL‐1β gene expressions were measured by a real‐time technique in the spinal cord tissue. One‐way analysis of variance and Tukey's post hoc test were used for statistical analysis. Endurance training reduced the sensitivity of the nervous system to thermal hyperalgesia and mechanical allodynia; also, compared to the diabetic neuropathy group, the gene expressions of NLTP3, P38 MAPK, TNF‐α, and IL‐1β were significantly reduced by endurance training (P < 0.05). Endurance training modulates NLRP3, P38 MAPK, and TNF‐α, IL‐1β gene expressions and improves the sensitivity of nociceptors to pain factors. Accordingly, it is recommended to use endurance training to reduce neuropathic pain for diabetics.
Associated Factors of Male Participation in Antenatal Care in Muaro Jambi District, Indonesia
Authors: Guspianto  , Ibnu Ismi Nurwaqiah , Asyary Al
Published: May 2022

Objective. This study aims to evaluate the level of male participation and factors associated with male participation in antenatal care. Methods. A cross-sectional study was performed, involving a survey of 381 men, selected through multistage random sampling. The outcome variable male participation in antenatal care was constructed from eight dichotomized indicators, and measurement results were low (scored 1 and 2) and high (scored 3 and 4). Multiple logistic regression analysis was performed using SPSS 24.0 at a significance level of 0.05. Results. The percentage of male participation in antenatal care was low (41.2%). Associated factors included age (

OR
=
1.858

,

95
%
CI
=
1.066
–
3.240

), number of children (

OR
=
2.909

,

95
%
CI
=
1.532
–
5.522

), income (

OR
=
1.715

,

95
%
CI
=
1.060
–
2.775

), and knowledge (

OR
=
3.706

,

95
%
CI
=
2.320
–
5.919

). Knowledge was found to be the main factor for male participation in antenatal care in Muaro Jambi Regency. Conclusion. Male participation in antenatal care in Muaro Jambi District was low and was influenced by age, number of children, income, and knowledge. Health promotion programs are needed to empower men to participate in antenatal care by providing communication, education, and information.
Anti-UAV High-Performance Computing Early Warning Neural Network Based on PSO Algorithm
Authors: Lei Yang , Yao Honglei , Jiang Bo , Tian Tian , Xing Peifei
Published: May 2022

In order to effectively solve the problem that the radar detection system is difficult to detect the “low, small, slow” UAV, the high-performance computing early warning neural network is used to recognize the air UAV in real time and extract the target category and image space location information; the PSO algorithm is used to optimize the parameters of the anti-UAV to ensure that the anti-UAV not only relies on factors but also fully combines the dependence of the visual field factor to quickly obtain the optimal solution through analyzing the high-performance computing early warning neural network in this paper. This algorithm is used to initialize the anti-UAV resources and improve the global optimization capability of the algorithm proposed in this paper. Finally, the experimental results show that the proposed PSO algorithm has better high-performance computing early warning performance to meet the actual needs of network high-performance computing early-warning neural networks.
Guidewire-Assisted Reduction Technology Combined with Postural Reduction Improves the Success Rate of Internal Vein Catheterisation
Authors: Li Feng-Xian , Li Yan-Ping , Zhang Hong-Yang , Tian Mei-Jing , Gao Huan-Huan , Zhang Gui-Juan , Su Peng
Published: May 2022

Objective. To investigate the value of guidewire-assisted reduction technology (which increases the stiffness of a catheter through the use of a guidewire, thereby protecting the puncture point and distal vein from breakage) combined with postural reduction for malpositioned catheters in the internal jugular vein during peripherally inserted central venous catheter catheterisation. Methods. From January 2015 to August 2020, we used ultrasound to perform guided puncture and monitoring. We identified the tip of the catheter as malpositioned in the internal jugular vein in 99 patients during the catheterisation process. These patients were divided randomly into a control group and an experimental group. In the control group, 43 cases received guidewire-assisted reduction technology, while in the experimental group, 56 patients received guidewire-assisted reduction technology combined with an upright posture. This study compared the efficacy of these two methods. Results. The results showed that 30 catheters were reduced successfully in the control group, with a success rate of 69.8%. In the experimental group, 53 cases were successfully reduced, with a success rate of 94.6%. The catheter reduction success rate in the experimental group was significantly higher than in the control group; this was a statistically significant difference (

P
=
0.001

). Conclusion. Guidewire-assisted reduction technology combined with postural reduction can improve the success rate of the reduction of malpositioned catheters in the internal jugular vein.
Rolling Bearing Fault Diagnosis Based on SVM Optimized with Adaptive Quantum DE Algorithm
Authors: Li Yuanyuan , Sun Qichun , Xu Hua , Li Xiaogang , Fang Zhijun , Yao Wei
Published: May 2022

In order to optimize traditional fault diagnosis models for practical applications, a fault diagnosis model based on support vector machines optimized with the adaptive quantum differential evolution of (AQDE-SVM) is proposed in this study. First, the traditional differential evolution is rewritten based on real number encoded into a qubit encoding. Second, this study proposes an adaptive quantum rotation gate and uses this gate to update the probability amplitude of the qubits. Finally, compared with quantum genetic algorithm support vector machines (QGA-SVM) and differential evolution-support vector machines (DE-SVM), etc., the results show that the algorithm proposed in this study has a higher diagnosis accuracy and shorter running time, providing great practical engineering value in the application of rolling bearing fault diagnosis.
Correlation of Serum IL-17, VEGF, and Lactate Dehydrogenase (LDH) Levels with Prognosis of Gastric Cancer
Authors: Rao Shumei , Zhao Lifang , Zheng Xia , Li Shiwei , Tian Xifeng
Published: May 2022

Objective. To investigate the correlation of serum interleukin-17 (IL-17), vascular endothelial growth factor (VEGF) and lactate dehydrogenase (LDH) levels with the prognosis of gastric cancer patients. Methods. From December 2018 to December 2020, 45 patients with gastric cancer treated in our hospital and 50 healthy individuals were assessed for eligibility and recruited. The eligible patients were assigned to an observation group, and the healthy subjects were assigned to a control group. Serum IL-17, LDH, and VEGF levels of the eligible participants were determined by the enzyme-linked immunosorbent assay (ELISA) and biochemical testing. The association of serum IL-7, LDH, and VEGF levels with their pathological characteristics was examined in the observation group. The correlation between serum IL-17 and VEGF was analyzed using the Pearson method, and regression models were established using COX proportional risk to explore the independent risk factors for gastric cancer. Results. Gastric cancer was associated with higher levels of IL-17, LDH, and VEGF versus a healthy status (

P
<
0.05

). There was no significant difference in serum IL-17, LDH, and VEGF levels between the two groups of patients with different clinical characteristics (

P
>
0.05

). Higher tumor TNM stages resulted in significantly higher levels of IL-17, LDH, and VEGF (

P
<
0.05

). Serum IL-17 level was positively correlated with VEGF level (

P
<
0.05

). Cox regression multifactorial analysis showed that serum IL-17, LDH, VEGF, and tumor TNM stages could be independent high-risk influencing factors for gastric cancer (

P
<
0.05

). Serum IL-17 was positively correlated with VEGF levels in patients with gastric cancer. Conclusion. Serum IL-17, LDH, and VEGF levels in gastric cancer patients are closely correlated with the TNM stage and patients’ prognosis, both of which show great potential as effective indicators for evaluating the prognosis of gastric cancer.
CT Combined with Multiparameter MRI in Differentiating Pathological Subtypes of Non‐Small‐Cell Lung Cancer before Surgery
Authors: Li Xinwen , Wang Xiaoyan , Li Qing , Bai Lijie
Published: May 2022

Objective. To investigate the diagnostic value of computed tomography (CT) combined with multiparametric magnetic resonance imaging (mpMRI) for preoperative differentiation of non‐small‐cell lung cancer (NSCLC). Methods. CT and MRI imaging data were collected from all patients with squamous lung cancer and adenocarcinoma admitted to our hospital from June 2019 to December 2020 (286 cases). ROC curves were plotted to evaluate the performance of CT, mpMRI, and CT combined with mpMRI to differentiate pathological subtypes of NSCLC. Univariate and multivariate regression were used to be independent predictors of pathological subtypes of NSCLC. Results. ROC curves showed that CT combined with mpMRI had the largest area under the curve, followed by mpMRI and CT successively. Univariate regression analysis showed that gender, smoking, tumor size, morphology, marginal lobulation, marginal burr, bronchial truncation sign, and vascular convergence sign were factors influencing the pathological subtype of NSCLC. Multivariate regression analysis suggested the fact that gender, tumor size, morphology, marginal lobulation, bronchial truncation, and vascular convergence sign are likely the independent predictors of NSCLC pathological subtypes. Conclusions. CT combined with mpMRI can effectively distinguish NSCLC pathological subtypes, which is worthy of clinical application.
Analysis on Spatial Distribution Characteristics and Configuration of Tourist Hotels Based on Artificial Intelligence Technology
Authors: Chen Jingjing , Wang Xiqiong
Published: May 2022

As one of the three pillar industries of tourism, the hotel industry has developed rapidly in recent years, especially the construction and development of urban star hotels. The major star hotel brands have poured in one after another, and a large amount of funds have been invested in the star hotel market. The continuous construction of various types of star hotels has formed the geographical agglomeration phenomenon of star hotels in Chinese cities. This phenomenon has not only brought the advantages of regional economies of scale and brand building, but also brought the competition between star hotels. Under the guidance of market demand, tourism can be created through industrial integration and functional combination to develop the tourism industry, which makes the spatial distribution of tourism hotels closely related to transportation, consumer demand, urban environment, and even industrial policy. In recent years, artificial intelligence methods are more and more applied to tourism, mainly including rough set method, genetic algorithm, fuzzy time series, grey theory, artificial neural network, and support vector machine. Based on artificial intelligence technology, this paper studies the spatial distribution characteristics and configuration of tourism hotels. The distance of the peak value of tourism hotel spatial distribution characteristics is 4.8 km and 6.6 km, respectively, and the distance of the peak value of natural tourism resources is 0.98 km. Because the spatial distribution characteristics of cultural, special, and tourism hotels are restricted by their own quantity, resource endowment, and inherent attributes, the spatial scope of location layout is relatively small. The spatial distribution characteristics and configuration of tourist hotels can also timely monitor and prevent various emergencies, prevent tourism safety accidents, and improve the ability of tourism emergency management by using artificial intelligence and other technologies. With the continuous optimization of artificial intelligence technology and the deepening of cooperation between tourism disciplines and interdisciplinary, the research on tourism big data driven by research problems will be more mature.
Clustering Analysis Algorithm of Volleyball Simulation Based on Radial Fuzzy Neural Network
Authors: Yan Xiaoshen , Wang Yu
Published: May 2022

Aiming at a series of problems existing in volleyball, based on radial fuzzy neural network theory, the optimized simulation clustering analysis algorithm is used to monitor and analyze volleyball. By analyzing the feature weights of nodes at different stages, the optimal radial fuzzy neural network was constructed, which was combined with the simulation clustering algorithm to obtain the relevant optimization model describing volleyball. The accuracy of the optimization model is verified by comparing with the original model. The results show that with the increase of response, the response curves of different algorithms show fluctuation. Among them, the fluctuation range of MPDR (minimum power distortionless response) algorithm is larger, and the value of the curve obtained by MVDR (minimum variance distortionless response) algorithm differs greatly from that of the optimization algorithm at some key nodes, while the beam changing chart obtained by the optimization algorithm can better reflect the changing trend of the beam. Model indexes under different algorithms are different. When the number of iterative steps is less than 30, indexes under different algorithms are all greater than the standard value. When the number of iterations is more than 30, the indexes under different algorithms are all less than the standard value. Through verification, it can be seen that the original model can only describe the first stage of volleyball, while the optimization model can describe the whole process of volleyball. It shows that the optimization model can be used to describe and analyze volleyball-related data. And the algorithm can be used to better predict and analyze volleyball, and the analysis results can provide relevant guidance for volleyball. The optimization model provides basis and theoretical support for the application of volleyball simulation clustering algorithm, so as to better promote volleyball and better guide the movement.
Research on the Early Warning Mechanism for Thermal Runaway of Lithium-Ion Power Batteries in Electric Vehicles
Authors: Wang Jiejia , Jia Junrui , Zhang Zhihua
Published: May 2022

Lithium-ion power batteries are critical to the macrostrategy of new energy vehicles, and safety concerns such as thermal runaway remain a major bottleneck in the productization and industrialization of lithium batteries. Based on COMSOL Multiphasic, an electrochemical-thermal coupling model for lithium-ion power batteries is created, as well as a thermal model for thermal runaway. A comparative study on lithium-ion power batteries was conducted using this model under on-board conditions, high rate cyclic charging and discharging conditions, and thermal abuse conditions. The temperature rise rate, average temperature, current, and voltage of the lithium-ion power battery and their correlation with thermal runaway are investigated. The results show that the temperature rise rate can significantly characterize the occurrence of thermal runaway, and when the temperature rise rate exceeds 1°C/s, the lithium-ion power battery has a high probability of thermal runaway. In addition, when the average temperature exceeds 80°C, there is a potential risk of thermal runaway in Li-ion power batteries. The results of the study show that high temperatures take longer to trigger thermal runaway, and the battery is slower to warm up. The time it takes for thermal runaway to occur, the maximum temperature reached, and the maximum voltage are all strongly connected to the overcharge flow under overload abuse conditions. The shorter the time it takes for thermal runaway to occur and the greater the maximum temperature and voltage attained, the larger the overcharge current.
Detection of Viable Zygosaccharomyces rouxii in Honey and Honey Products via PMAXX-qPCR
Authors: Chen Shiqiong , Tang Qingyan , Geng Jianqiang , Liu Yanqin , Jiang Jie , Cai Xuefeng , Cao Hong , Wu Yantao , Ren Yan , Liu Kai , Cao Yue
Published: May 2022

In order to establish a fast detection method for the living Zygosaccharomyces rouxii (Z. rouxii) cells in honey and honey products, the performance of propidium monoazide bromide (PMA) and enhanced propidium monoazide bromide (PMAXX) combined with real-time PCR for detecting living cells of Z. rouxii was compared. PMAXX was chosen as the added agent because of its better performance. The optimal concentration of PMAXX was found to be 76.92 μM in cell solution (the cell concentration was 1.0 × 108 CFU/mL). The LODs of PMAXX-qPCR in detecting Z. rouxii in pure MEA and honey solution were found to be 103 and 101 CFU/mL, respectively. Living Z. rouxii cells in 18 real honey samples were detected using this PMAXX-qPCR method and compared with the plate count method. The two methods showed consistent detection results in ten negative samples. In the other eight plate count zero but PMAXX-qPCR-positive samples, further verification experiments showed that six of the PMAXX-qPCR-positive samples contained viable but nonculturable (VBNC) Z. rouxii, while the other two PMAXX-qPCR-positive samples may have contained DNA contamination of Z. rouxii. This method is not only fast and sensitive but also can detect both culturable and viable but nonculturable Z. rouxii. This study provides a promising fast and culture-independent method for the detection of living Z. rouxii cells in honey and honey products.
An Artificial Intelligence-Based Reactive Health Care System for Emotion Detections
Authors: Mohammad Gouse Baig , Potluri Sirisha , Kumar Ashwani , A Ravi Kumar , P Dileep , Tiwari Rajesh , Shrivastava Rajeev , Kumar Sheo , Srihari K. , Dekeba Kenenisa
Published: May 2022

In the past few years, remote monitoring technologies have grown increasingly important in the delivery of healthcare. According to healthcare professionals, a variety of factors influence the public perception of connected healthcare systems in a variety of ways. First and foremost, wearable technology in healthcare must establish better bonds with the individuals who will be using them. The emotional reactions of patients to obtaining remote healthcare services may be of interest to healthcare practitioners if they are given the opportunity to investigate them. In this study, we develop an artificial intelligence-based classification system that aims to detect the emotions from the input data using metaheuristic feature selection and machine learning classification. The proposed model is made to undergo series of steps involving preprocessing, feature selection, and classification. The simulation is conducted to test the efficacy of the model on various features present in a dataset. The results of simulation show that the proposed model is effective enough to classify the emotions from the input dataset than other existing methods.
Using the Neutrosophic DEMATEL Method to Determine the Effect of Internet Finance and Big Data Risk Control Monitoring
Authors: Tian Lin , Gu Hongmei
Published: May 2022

Internet financial (IF) is an exchanged of goods and pays money over the Internet. The IF plays a critical role in financial fields. The IF is an innovation in the market and financial. The IF is better than the traditional financial. The IF has many criteria and subcriteria. Because there are so many different types of Internet-related financial risks, it is important for the institutions that deal with them to have effective risk prevention, control, monitoring, and management systems in place and to alert the public to any new threats. The goal of this paper is to determine the impacts of IF and big data risk control monitoring. The concept of multicriteria decision-making proposed in this paper deals with four main criteria and seventeen subcriteria. This paper proposed a Decision-Making Trial and Evaluation Laboratory (DEMATEL) method for computing the influence of the IF. The DEMATAL method is integrated with neutrosophic sets for overcoming incomplete and vague information. The applications are proposed to show the outcomes of the proposed methodology.
Diagnostic Value and Application of Prenatal MRI and Ultrasound in Fetal Cleft Lip and Palate
Authors: Yan Xin , Xing Guojing , Wang Xin , Li Jun , Sun Qiuhong , Shang Xiaojie
Published: May 2022

Objective. The purpose was to explore the diagnostic value and application of prenatal magnetic resonance imaging (MRI) and ultrasound (US) in fetal cleft lip and palate. Methods. From January 2018 to December 2019, 39 pregnant women without normal fetal maxillofacial structure or with fetal maxillofacial deformity under US examination in our hospital were selected as the study subjects. Not knowing the clinical data of the pregnant women, MRI and US physicians performed diagnostic analysis on the MRI or US images of all the study subjects and analyzed the results of prenatal MRI and US diagnosis and postpartum follow‐up to compare the diagnostic efficacy and confidence of MRI and US. Results. The follow‐up found that there were 20 cases of cleft lip, 15 cases of cheilopalatognathus, 3 cases of cleft palate, and 1 case of unilateral cleft lip with alveolar cleft, with a total of 39 cases having cleft lip and palate deformity. MRI and US had the same efficacy in the diagnosis of cleft lip. As for cleft palates, the diagnostic accuracy of MRI (94.87%) was significantly better than that of US (48.72%, P < 0.001). The diagnostic confidence of fetal cleft lip and palate by MRI (89.73%) was significantly better than that of US (43.59%, P < 0.001). The AUC of US (0.597) was significantly less than that of MRI (0.940), indicating that the diagnostic accuracy of US was not as good as that of MRI (P < 0.05). The sensitivity and 1 − specificity of MRI were significantly higher than those of US. Conclusion. MRI is more accurate than US in the diagnosis of fetal cleft lip and palate, and MRI can be the preferred method for prenatal detection of cleft lip and palate, thus providing more accurate opinions and information for perinatal pregnant women.
Risk and Prognostic Factors for BRAFV600E Mutations in Papillary Thyroid Carcinoma
Authors: Wei Xiaojing , Wang Xiaodong , Xiong Jie , Li Chen , Liao Yixuan , Zhu Yongjun , Mao Jingxin
Published: May 2022

Background. Over the past ten years, the incidence rate of papillary thyroid carcinoma (PTC) worldwide has been increasing rapidly year by year, with the incidence rate increasing 6% annually. PTC has become the malignant tumor with the highest growth rate in the world that fourteen PTC‐related mutant genes have been identified. Whether the BRAFV600E mutation related to more aggressive clinicopathologic features and worse outcome in PTC remains variable and controversial. We aim to investigate the risk factors that may predict the BRAFV600E mutation potential of these lesions and new prevention strategies in PTC patients. Methods. A total of 9,908 papillary thyroid carcinoma patients with average 74.6% BRAFV600E mutations were analyzed (RevMan 5.3 software) in this study. The PubMed, Embase, and ISI Web of Science databases were systematically searched for works published through December 15, 2021. Results. The following variables were associated with an increased risk of BRAFV600E mutation in PTC patients: age ≥ 45 years (OR = 1.39, 95%CI = 1.21–1.60, p < 0.00001), male gender (OR = 1.13, 95%CI = 0.99–1.28, p = 0.06), multifocality (OR = 1.22, 95%CI = 1.07–1.40, p = 0.004), lymph node metastasis (OR = 1.33, 95%CI = 0.79–2.23, p = 0.28), extrathyroidal extension + (OR = 1.61, 95%CI = 1.06–2.44, p = 0.03), vascular invasion + (OR = 2.04, 95%CI = 1.32–3.15, p = 0.001), and tumor node metastasis stage (OR = 1.61, 95%CI = 1.38–1.88, p < 0.00001). In addition, tumor size (>1 cm) (OR = 0.51, 95%CI = 0.32–0.81, p = 0.005) and distant metastasis (OR = 0.69, 95%CI = 0.22–2.21, p = 0.54) had no association or risk with BRAFV600E mutation in PTC patients. Conclusion. Our systematic review identified the following significant risk factors of BRAFV600E mutation in PTC patients: age (≥45 years), gender (male), multifocality, lymph node metastasis, vascular invasion, extrathyroidal extension, and advanced tumor node metastasis stage (stages III and IV). Tumor size (>1 cm) and distant metastasis do not appear to be correlated with BRAFV600E mutation in PTC patients.
Effects of Sequential Bilateral Cochlear Implantation in Children: Evidence from Speech-Evoked Cortical Potentials and Tests of Speech Perception
Authors: Vicente Leticia Cristina , Polonenko Melissa Jane , Gordon Karen Ann , Silva Leandra Tabanez do Nascimento , Costa Orozimbo Alves , Alvarenga Kátia Freitas
Published: May 2022

Introduction: Benefits of bilateral cochlear implants (CI) may be compromised by delays to implantation of either ear. This study aimed to evaluate the effects of sequential bilateral CI use in children who received their first CI at young ages, using a clinical set-up. Methods: One-channel cortical auditory evoked potentials and speech perception in quiet and noise were evoked at repeated times (0, 3, 6, 12 months of bilateral CI use) by unilateral and bilateral stimulation in 28 children with early-onset deafness. These children were unilaterally implanted before 3.69 years of age (mean ± SD of 1.98 ± 0.73 years) and received a second CI after 5.13 ± 2.37 years of unilateral CI use. Comparisons between unilaterally evoked responses were used to measure asymmetric function between the ears and comparisons between bilateral responses and each unilateral response were used to measure the bilateral benefit. Results: Chronic bilateral CI promoted changes in cortical auditory responses and speech perception performance; however, large asymmetries were present between the two unilateral responses despite ongoing bilateral CI use. Persistent cortical differences between the two sides at 1 year of bilateral stimulation were predicted by increasing age at the first surgery and inter-implant delay. Larger asymmetries in speech perception occurred with longer inter-implant delays. Bilateral responses were more similar to the unilateral responses from the first rather than the second CI. Conclusion: These findings are consistent with the development of the aural preference syndrome and reinforce the importance of providing bilateral CIs simultaneously or sequentially with very short delays.
Cri-du-Chat Syndrome: Revealing a Familial Atypical Deletion in 5p
Authors: Almeida Vanessa T. , Chehimi Samar N. , Gasparini Yanca , Nascimento Amom M. , Carvalho Gleyson F.S. , Montenegro Marília M. , Zanardo Évelin Aline , Dias Alexandre T. , Assunção Nilson A. , Kim Chong A. , Kulikowski Leslie D.
Published: May 2022

Introduction: Cri-du-chat syndrome is generally diagnosed when patients present a high-pitched cry at birth, microcephaly, ocular hypertelorism, and prominent nasal bridge. The karyotype is useful to confirm deletions in the short arm of chromosome 5 (5p–) greater than 10 Mb. In cases of smaller deletions, it is necessary to resort to other molecular techniques such as fluorescence in situ hybridization, multiplex ligation-dependent probe amplification (MLPA) or genomic array. Case Presentation: We report a family with an atypical deletion in 5p (mother and 2 children) and variable phenotypes compared with the literature. We applied a P064 MLPA kit to evaluate 5p– in the mother and the 2 children, and we used the Infinium CytoSNP-850K BeadChip genomic array to evaluate the siblings, an 11-year-old boy and a 13-year-old girl, to better define the 5p breakpoints. Both children presented a high-pitched cry at birth, but they did not present any of the typical physical features of 5p– syndrome. The MLPA technique with 5 probes for the 5p region revealed that the patients and their mother presented an atypical deletion with only 4 probes deleted (TERT_ex2, TERT_ex13, CLPTM1L, and IRX4). The genomic array performed in the siblings’ samples revealed a 6.2-Mb terminal deletion in 5p15.33p15.32, which was likely inherited from their mother, who presented similar molecular features, seen in MLPA. Discussion: The sparing of the CTNND2 gene, which is associated with cerebral development, in both siblings may explain why these 2 patients had features such as better communication skills which most patients with larger 5p deletions usually do not present. In addition, both patients had smaller deletions than those found in patients with a typical 5p– phenotype. This report demonstrates the utility of genomic arrays as a diagnostic tool to better characterize atypical deletions in known syndromes such as 5p– syndrome, which will allow a better understanding of the genotype-phenotype correlations.