bluuebunny/crossref_metadata_2025 huggingface dataset:
Existence Results of Fuzzy Delay Impulsive Fractional Differential Equation by Fixed Point Theory Approach
Authors: Khan Aziz , Shafqat Ramsha , Niazi Azmat Ullah Khan
Published: September 2022

The main aim of this article is to study controllability and existence of solution of fuzzy delay impulsive fractional nonlocal integro-differential equation in the sense of Caputo operator. The existence and uniqueness of the solution have been carried out with the help of the Banach fixed point theorem. Moreover, for fuzzy fractional differential equations (FFDEs) driven by the Liu process, this present work introduced a concept of stability in credibility space. Finally, efficient examples are presented to demonstrate the main theoretical findings.
Electronic Cigarette and Atherosclerosis: A Comprehensive Literature Review of Latest Evidences
Authors: Damay Vito Anggarino , Setiawan  , Lesmana Ronny , Akbar M. Rizki , Lukito Antonia Anna , Tarawan Vita M. , Martha Januar W. , Nugroho J.
Published: September 2022

Coronary artery diseases (CAD), also known as coronary heart disease (CHD), are the world’s leading cause of death. The basis of coronary artery disease is the narrowing of the heart coronary artery lumen due to atherosclerosis. The use of electronic cigarettes has increased significantly over the years. However, harmful effects of electronic cigarettes are still not firm. The aim of this article is to review the impact of electronic cigarette and its role in the pathogenesis of atherosclerosis from recent studies. The results showed that several chemical compounds, such as nicotine, propylene glycol, particulate matters, heavy metals, and flavorings, in electronic cigarette induce atherosclerosis with each molecular mechanism that lead to atherosclerosis progression by formation of ROS, endothelial dysfunction, and inflammation. Further research is still needed to determine the exact mechanism and provide more clinical evidence.
Optimal Investment‐Consumption Strategy of Household Based on CEV Model
Authors: Wang Aiyin , Dawulietihan Manzila , Xu Wenxia , Wu Si , Li Guodong
Published: September 2022

To maintain and increase household wealth, this study studies the optimal allocation ratio of household investment and consumption. When considering venture capital, it is assumed that the theoretical price of risky asset obeys the CEV model. Our goal was to maximize the expectation of household cumulative consumption and the discounted utility of terminal wealth and to solve the optimal consumption and investment ratio using the dynamic programming principle and HJB equation. Using logarithmic utility and isoelastic power utility function with residual utility, we get the analytical solution of the household investment‐consumption ratio by means of guessing and variable transformation. Finally, the influence of general parameters on the optimal ratio in the market is analyzed by numerical simulation and diagram, which is consistent with the description of actual situation. This study not only enriches portfolio theory but also provides investors with investment strategies.
Efficacy Evaluation of Modified Siwu Decoction to Treat Osteoporosis in Patients with Poststroke Hemiplegia by Using the Magnetic Resonance Imaging Features
Authors: Wang Jing , Liu Xiuyun , Chen Yanni , Zhang Bingjie , Peng Yi , Sun Zhipeng , Yang Tao
Published: September 2022

This study was focused on the clinical efficacy and safety of magnetic resonance imaging (MRI)-based Siwu decoction for poststroke hemiplegia complicated with osteoporosis. 120 patients with poststroke hemiplegia and osteoporosis were divided into an observation group (modified Siwu decoction based on the treatment scheme of control group, 60 cases) and a control group (conventional drugs in neurology + neurology-based rehabilitation training treatment of muscle enhancement surgery, 60 cases). They all underwent MRI scans. The results showed that the bone mineral density (BMD) of lumbar spine, ipsilateral femoral neck, and ipsilateral patella in the observation group was higher than that in the control group 180 days after treatment (

P
<
0.05

). MRI showed restricted diffusion and edema in the left frontoparietal cortex and subcortical white matter. The levels of 25-hydroxy-vitamin D (25-OH-VD) and bone gla-containing protein (BGP) in the observation group 180 days after treatment were higher, and the type I collagen n-terminal propeptide (PINP) and type I collagen cross-linked C-terminal telopeptide (β-CTX) were lower (

P
<
0.05

). The visual analogue scale (VAS) score of the observation group at 180 days after treatment was lower, while the quality of life score was higher (

P
<
0.05

). The median cell count in the observation group at 180 days after treatment was less, while the lymphocytes showed a higher level (

P
<
0.05

). In conclusion, the Siwu decoction could effectively improve the bone metabolism of patients with poststroke hemiplegia and osteoporosis, promote the proliferation and differentiation of osteocytes, and improve the BMD and quality of life of patients.
LOX and Its Methylation Impact Prognosis of Diseases and Correlate with TAM Infiltration in ESCA
Authors: Wu Chuanqiang , Jiang Bin , Wu Zixiang , Dong Lingjun , Sun Keyi , Wu Ming
Published: September 2022

Background. ESCA is one of the digestive tract tumors with a high fatality. It is implicated in an intricate gene regulation process, but the pathogenesis remains ambiguous. Methods. The study used the packages of Limma from R software to analyze DEGs of ESCA in the GEO database and TCGA database. We employed the DAVID website for enrichment analysis, and the string database constructed the PPI network. Hub genes were identified from ESCA DEGs with Cytoscape MCODE. We evaluated the clinical relevance of LOX expression and its DNA methylation in the cBioPortal database and explored the roles of LOX in ESCA immunity, especially immune cell infiltration levels and immune checkpoint expression, by immunedeconv package of R software. Conclusions. The overexpression of LOX in ESCA is regulated by DNA hypomethylation; LOX overexpression or LOX hypomethylation can predict a worse prognosis in patients with ESCA. Besides, LOX may be involved in TIME regulation, promoting the infiltration levels and function of TAM. Hence, high LOX expression affected by DNA hypomethylation has an essential role in patients with ESCA, which may become an effective prognostic marker and therapeutic target.
Lecture Video Automatic Summarization System Based on DBNet and Kalman Filtering
Authors: Sun Fan , Tian Xuedong
Published: September 2022

Video summarization for educational scenarios aims to extract and locate the most meaningful frames from the original video based on the main contents of the lecture video. Aiming at the defect of existing computer vision-based lecture video summarization methods that tend to target specific scenes, a summarization method based on content detection and tracking is proposed. Firstly, DBNet is introduced to detect the contents such as text and mathematical formulas in the static frames of these videos, which is combined with the convolutional block attention module (CBAM) to improve the detection precision. Then, frame-by-frame data association of content instances is performed using Kalman filtering, the Hungarian algorithm, and appearance feature vectors to build a tracker. Finally, video segmentation and key frame location extraction are performed according to the content instance lifelines and content deletion events constructed by the tracker, and the extracted key frame groups are used as the final video summary result. Experimenting on a variety of scenarios of lecture video, the average precision of content detection is 89.1%; the average recall of summary results is 92.1%.
Application Model Construction of Intangible Cultural Heritage Dissemination in Film and Television Art Creation in Postepidemic Era
Authors: Yu Haijiao
Published: September 2022

Intangible cultural heritage is the inheritance of a national traditional culture and a memory symbol of a national cultural spirit. It tells the timeless cultural journey of an ancient nation with an invisible spiritual force. Strengthening the publicity and promotion of intangible cultural heritage is of great significance to improving the national cultural atmosphere, enhancing the awareness of intangible cultural heritage protection, and increasing the inheritance of my country’s cultural heritage in culture. At present, intangible cultural heritage documentaries are of great significance. The creation of intangible cultural heritage has become the main means of inheritance. It can make intangible cultural heritage known and familiar to more people through multimedia, network, broadcasting, and other media forms and establish an excellent platform for the protection and inheritance of intangible cultural heritage. How to use the media of film and television art to inject the soul of intangible cultural heritage into it, so as to better inherit and develop it among the masses, is the focus of contemporary literature and art creators and art managers to discuss and study. Aiming at the problem that unstructured intangible cultural heritage video resources are difficult to store and manage, this paper proposes an application model of intangible cultural heritage dissemination. Semantic annotation, linked data construction and publishing, etc. make it a structured intangible cultural heritage video semantic unit, which can be better applied to the creation of film and television art.
Performance Analysis of a Linear Gaussian- and tanh-Apodized FBG and Dispersion Compensating Fiber Design for Chromatic Dispersion Compensation in Long-haul Optical Communication Networks
Authors: Nsengiyumva Isidore , Mwangi Elijah , Kamucha George
Published: September 2022

This paper investigates a novel compensation technique of dispersion effect mitigation using a combination of three- and four-stage-apodized fiber Bragg gratings (FBG) and dispersion compensating fiber (DCF) designs. Two designs using three-stage and four-stage FBG and DCF in combination have been proposed and compared for their performance in mitigating chromatic dispersion effects at 100 km SMF. The performance of each design has been evaluated using Q-factor results using linear Gaussian- and tanh-apodized fiber Bragg gratings. Each profile manifested different Q-factor results over a range of 5 dBm, 7.5 dBm, and 10 dBm of CW laser power over FBG grating lengths from 4 mm to 8 mm. The results obtained using the three-stage and four-stage FBG and DCF designs showed that an apodization profile using a tanh function can be used successfully with FBG lengths from 4 mm to 8 mm, regardless of the CW launched power. In contrast, the results using a Gaussian apodization profile for three- and four-stage FBG and DCF designs are applicable to FBG lengths from 5 mm to 8 mm. Designs using three-stage FBG and DCF generated higher Q-factor results than designs using only four-stage FBG and DCF, regardless of the launched power. The highest Q-factor of 18.58 was obtained for three-stage tanh-apodized FBG and DCF used in combination for an FBG length of 6 mm. The highest result obtained for a three-stage Gaussian-apodized FBG and DCF design was a Q factor of 17.13 using an FBG length of 8 mm. The proposed method was also compared to current similar works and can be successfully implemented in long-haul optical communication.
Progress in the Relationship between Vitamin D Deficiency and the Incidence of Type 1 Diabetes Mellitus in Children
Authors: He Lian-Ping , Song Yu-Xin , Zhu Ting , Gu Wei , Liu Chang-Wei
Published: September 2022

Type 1 diabetes mellitus (T1DM) is an autoimmune disease, due to a large number of islet β cells damaged, resulting in an absolute lack of insulin, ultimately relying on insulin therapy. Vitamin D is a fat-soluble sterol derivative that not only participates in calcium and phosphorus metabolism but also acts as an immunomodulatory role by binding to nuclear vitamin D receptors to regulate the expression of transcription factors. Increasing evidence has shown that vitamin D has immunoregulation and anti-inflammatory effects, and it may play a role in T cell regulatory responses due to downregulation in the expression of cathepsin G and inhibition of CD4+ T cell activation and protection of β cells from immune attack and is beneficial in decreasing oxidative stress in T1DM patients. Epidemiologic evidence demonstrates involvement of vitamin D deficiency in T1DM pathogenesis, with the immune system improperly targeting and destroying its own islet β cells. In addition, polymorphisms in genes critical for vitamin D metabolism may increase the risk of islet autoimmunity and T1DM. In this paper, the relationship between vitamin D deficiency and the molecular mechanism of T1DM was discussed.
Formal Modeling of IoT-Based Drone Network for Combating COVID-19 Pandemic
Authors: Iqbal Moeeza , Zafar Nazir Ahmad , Alkhammash Eman H. , Hadjouni Myriam
Published: September 2022

Coronavirus biologically named COVID-19 is a disease that is circulating throughout the world due to its viral nature. The interaction of people is a source of spreading of coronavirus. Millions of people have been affected by this virus, and most of them have lost their lives. At present, this viral disease has grown into a worldwide pandemic which is a troubling spot for the whole world. Few technologies are supporting to manage and solve the COVID-19 crisis. In this paper, unified modeling language (UML) will be used to describe requirements and behavior of the proposed system. Unmanned aerial vehicle (UAV) drones are flying mechanical devices without any human pilot that is efficient to reduce the spreading rate of COVID-19. In the proposed IoT-based model, a cluster-based drones’ network will be used to monitor and perform required actions to tackle the violations of standard operating procedures (SOPs). The drones will gather all data through embedded cameras and sensors and will communicate with the control room to operate the actions as required. In this model, a well-maintained and collision-free network of drones will be designed using graph theory. Drones’ network will observe the violation of SOPs in the targeted area and make decisions such as produce alarm sound to alert persons and through communications by sending people warning messages on their smartphones. Further, the persons having COVID symptoms such as high temperature and unbalance respiratory rates will be identified using wearable sensors that are deployed to the targeted area and will send information to the control room to perform required actions. Drones will be able to provide medical kits to the patients’ residences that are identified using wearable sensors to reduce interaction of people. The model will be specified using Vienna Development Method-Specification language (VDM-SL) and validated through the VDM-SL toolbox.
Construction and Application of Farmers’ Practical Teaching System in Vocational Education Based on Big Data Mining Technology
Authors: Peng Wei , Tang Zhibin
Published: September 2022

With the establishment and perfection of social market economy, China has made changes to the disadvantages of farmers’ vocational education system, such as singleness, backward educational means, and backward levels. Compared to traditional forms of farming, problems related to lack of farming expertise, poor scientific and technological awareness, and weak labor skills are analyzed by applying big data mining technology to retrieve key issues in order to establish a professional education system. Data mining can meet the needs of farming knowledge and rapidly develop into an automatic information farming model, which is an effective way to maximize and enhance professional knowledge. The establishment of a professional education system will train most scientific research members and further enhance diversified labor productivity. The experimental summary of this paper is as follows: (1) the relevant data need to be predicted before and after, the predicted experimental data will effectively improve students’ grades, which is beneficial to the development of practical teaching, and the pretreatment stage plays a substantial role. (2) Among the three algorithms, the adaptive function of genetic clustering algorithm is obviously better than the other two algorithms, and the adaptive curve is relatively stable. (3) The comprehensive assessment of the course divides students into three categories: poor students, medium students, and excellent students, among which poor students account for 30%, medium students account for 50%, and excellent students account for 20%. (4) The standardization of the education system has brought users a good learning mechanism, in which the teaching resources have been strengthened, and users have very high satisfaction with the evaluation of the whole system.
[Retracted] Effect of Previous Cancer History on Survival of Patients with Different Subtypes of Breast Cancer
Authors: Lin Weixun , Chen Yaokun , Ji Zeqi , Chen Lingzhi , Wu Jinyao , Chen Yexi , Li Zhiyang
Published: September 2022

Patients with a previous cancer history (PCA) are routinely excluded from most clinical trials, which may limit the accuracy and universality of clinical trials. We aimed to explore the association between PCA and survival of patients with different molecular subtypes of breast cancer. Patients diagnosed with breast cancer from the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2015 were included in this retrospective cohort study. The primary outcome was overall survival (OS), which was calculated from date of diagnosis to date of death or censor date during this period. The relationship between PCA and OS of patients with different molecular subtypes of breast cancer was analyzed by the Kaplan‐Meier curves and multivariate Cox proportional‐hazards model. A total of 35,640 primary breast cancer patients were included, and 2,038 (5.72%) patients had a PCA. Female genital system cancer (491 cases, 24.09%) was the largest proportion type of previous cancer, and HER2‐positive (24,754 cases, 69.46%) breast cancer was the most common subtype. Patients with previous female genital/endocrine system cancer history and other cancers history were associated with a poorer OS in overall patients, and in patients with triple‐negative and HER2‐positive subtypes (P < 0.05). In patients with Luminal A and Luminal B subtypes, previous other cancers history was related to poor OS (P < 0.05), while female genital/endocrine system cancer history may not influence the OS (P > 0.05). Subgroup analyses presented that PCA was related to poor OS in patients aged 40‐64 years and ≥65 years (P <0.05), while prognosis in patients aged 18‐40 years may not be influenced by PCA (P > 0.05). The impact of PCA on the prognosis of breast cancer patients was related to molecular type, patient age, and type of PCA. In clinical trials of breast cancer, the exclusion criteria for PCA patients may be modified according to the above variables.
Some New Generalized Fractional Newton’s Type Inequalities for Convex Functions
Authors: Soontharanon Jarunee , Ali Muhammad Aamir , Budak Hüseyin , Kösem Pinar , Nonlaopon Kamsing , Sitthiwirattham Thanin
Published: September 2022

In this paper, we establish some new Newton’s type inequalities for differentiable convex functions using the generalized Riemann-Liouville fractional integrals. The main edge of the newly established inequalities is that these can be turned into several new and existing inequalities for different fractional integrals like Riemann-Liouville fractional integrals,

k

-fractional integrals, Katugampola fractional operators, conformable fractional operators, Hadamard fractional operators, and fractional operators with the exponential kernel without proving one by one. It is also shown that the newly established inequalities are the refinements of the previously established inequalities inside the literature.
Comprehensive Evaluation of Operational Efficiency of Intersections in Arterial Considering Pedestrians Yield Rule
Authors: Chen Lei , Li Junjie , Li Yuhang , Yao Jiao
Published: September 2022

Yield to pedestrians has become a new trend of civilized transportation in the metropolis. In order to evaluate the influence of yield behavior on the comprehensive operation efficiency of signalized intersections in arterial, the efficiency of the subject who gives way and the subject who is given up in the process of yielding to pedestrians was considered in this study, and the comprehensive operation evaluation of intersection in arterial was given. First, based on the rule of pedestrians yield, the concept of a safe headway gap of pedestrians was introduced in the process of conflict analysis of traffic flows at the intersection, and 3 situations were discussed, which are no yield, yield to 1 flow and 2 flows, to calculate the departure rate of traffic flow at the intersection. Furthermore, models of 3 evaluation indices were established, which are number of people passing per unit time, average delay per people, and average yield number per people at intersection. Moreover, the entropy weight method was taken to decide the weight of these 3 indices, and to calculate the comprehensive efficiency evaluation of intersection operation, with the standardized matrix. Finally, case study work was carried out to evaluate the comprehensive efficiency of 4 types of intersections in arterial considering pedestrians yield rule, which is the intersection between arterial and arterial (IAA), intersection between arterial and subarterial (IAS), intersection with one-time (IAA-1, IAS-1), and two-time (IAA-2, IAS-2) crossing of pedestrians. The relevant results show that the impact of an increase in the number of pedestrians on the combined efficiency of arterial intersections can vary dramatically in different scenarios. Therefore, in the implementation process of “yielding to pedestrians,” the flow fluctuation characteristics and channelization of each intersection should be taken into account, and the corresponding phase changes should be based on pedestrian and vehicle volumes to improve the efficiency of all parts, such as pedestrians and drivers.
Correlation between Population Structure and Regional Innovation Ability Based on Big Data Analysis
Authors: Qin Lulu , Lin Ruofei , Gao Rongwei , Lin Han
Published: September 2022

With the continuous advancement of the urbanization process, the scale of cities has expanded rapidly, and the amount of floating population has grown rapidly. Big data not only brings changes in thinking, technology, and management but also promotes the renewal and development of social governance concepts, technologies, methods, and models, which creates new opportunities for urban floating population governance innovation. City governments at all levels are facing enormous management pressure and urgently need to promote innovative reforms in the governance of urban floating population. The development of information technology has developed into the era of big data, and strong data collection and processing capabilities can greatly improve the scientific level of urban floating population management. In the research of spatial correlation of innovation ability, the research of domestic and foreign scholars has been very mature, and the methods used are more comprehensive, combining big data with urban floating population governance, placing urban floating population governance in the context of big data research and analysis, exploring the channels for the government to use big data to optimize urban floating population governance, and putting forward specific and feasible countermeasures and suggestions. After a series of tests, the double-fixed-effects spatial Dubin model is used to explore the influence of population structure on regional innovation ability from five aspects: population urban-rural structure, population industrial structure, population education structure, population age structure, and population density. The results show that the population structure of higher education has the most significant role in promoting regional innovation capability, followed by urban population, population density, and secondary industry population structure; the working-age population structure has no significant impact on regional innovation capability; provincial innovation capability has a significant effect positive spatial spillover effect.
Advances in the Biology, Detection Techniques, and Clinical Applications of Circulating Tumor Cells
Authors: Wu Siwen , Zhao Shubi , Cui Dawei , Xie Jue
Published: September 2022

Circulating tumor cells (CTCs) play a crucial role in tumor recurrence and metastasis, and their early detection has shown remarkable benefits in clinical theranostics. However, CTCs are extremely rare, thus detecting them in the blood is very challenging. New CTC detection techniques are continuously being developed, enabling deeper analysis of CTC biology and potential clinical application. This article reviews current CTC detection techniques and their clinical application. CTCs have provided, and will continue to provide, important insights into the process of metastasis, which could lead to development of new therapies for different cancers.
Caregivers’ Perspectives on Transitioning Dental Care for Adolescents with Special Healthcare Needs–A Cross-Sectional Study
Authors: Canares Glenn , Clarke Roxanne , Caffrey Erica , Chavis Sydnee
Published: September 2022

Introduction. Few studies have investigated the concerns of caregivers of adolescents with special health-care needs (ASHCN) regarding the barriers and challenges of transitioning from a pediatric to an adult-based dental home. The purpose of this study was to assess these perceptions. Methods. A 23-question survey was administered to guardians of ASHCN who presented to the pediatric dental clinic at the University of Maryland. Question types were either multiple choice, Likert scale responses, or open-ended. A descriptive analysis and Fisher’s exact test were performed. Keywords were evaluated from the open-ended answers. Results. Twenty-seven caregivers completed the survey over a six-month period. Sixty-six percent of caregivers were aware that dental needs change as child ages and thought that transitioning was a logical next step, 78% had concerns about transitional care, and 70% did not have the desire to transition. Fisher’s exact analysis comparing awareness of transition versus the desire to transition was

p
<
0.10

. Conclusion. Most caregivers were aware of the changing dental needs of ASHCN and believed transitioning was a logical step. Many caregivers lacked readiness and perceived multiple barriers to transitioning. Awareness of the need to transition from pediatric to adult-based dental homes was not correlated with the readiness to transition.
Model Test and Numerical Simulation of Water Conservancy Foundation Bearing Capacity
Authors: Li Jiajia
Published: September 2022

In order to further improve the construction quality of water conservancy projects under different soil conditions and ensure the safety, stability, and durability of water conservancy project foundation construction under special circumstances, this study takes the bearing capacity of water conservancy land foundation as the research direction, takes frozen soil foundation and bag gravel pier composite foundation as examples, and further optimizes the parameters of foundation bearing capacity by using the theory of foundation ultimate bearing capacity and related algorithms. The P-S curve of bearing capacity shows that when the foundation is frozen to −15°C and the foundation sum is about 190 kN, the P-S curve trend at this time changes significantly, which is not different from the indoor simulation result of 170 kN. The final numerical analysis of foundation bearing capacity is relatively reliable, which can provide a powerful reference for the calculation of foundation bearing capacity of hydraulic engineering.
Cloud Computing-Based Framework for Breast Tumor Image Classification Using Fusion of AlexNet and GLCM Texture Features with Ensemble Multi-Kernel Support Vector Machine (MK-SVM)
Authors: Alyami Jaber , Sadad Tariq , Rehman Amjad , Almutairi Fahad , Saba Tanzila , Bahaj Saeed Ali , Alkhurim Alhassan
Published: September 2022

Breast cancer is common among women all over the world. Early identification of breast cancer lowers death rates. However, it is difficult to determine whether these are cancerous or noncancerous lesions due to their inconsistencies in image appearance. Machine learning techniques are widely employed in imaging analysis as a diagnostic method for breast cancer classification. However, patients cannot take advantage of remote areas as these systems are unavailable on clouds. Thus, breast cancer detection for remote patients is indispensable, which can only be possible through cloud computing. The user is allowed to feed images into the cloud system, which is further investigated through the computer aided diagnosis (CAD) system. Such systems could also be used to track patients, older adults, especially with disabilities, particularly in remote areas of developing countries that do not have medical facilities and paramedic staff. In the proposed CAD system, a fusion of AlexNet architecture and GLCM (gray-level cooccurrence matrix) features are used to extract distinguishable texture features from breast tissues. Finally, to attain higher precision, an ensemble of MK-SVM is used. For testing purposes, the proposed model is applied to the MIAS dataset, a commonly used breast image database, and achieved 96.26% accuracy.
Prediction of California Bearing Ratio of Granular Soil by Multivariate Regression and Gene Expression Programming
Authors: Bakri Mudthir , Aldhari Ibrahim , Alfawzan Mohammed Saleh
Published: September 2022

This research demonstrates the results of an investigation into the California bearing ratio (CBR) of granular soils from Qassim region, Saudi Arabia, using multilinear regression (MLR), pure quadratic (PQ) models, and gene expression programming (GEP) methods utilized to develop mathematical models for estimating the CBR based on basic soil index properties. In this study, samples were collected from different borrowing pits in the Qassim area. Forty‐three samples of soil were taken and transferred to a laboratory for examination. Seven multilinear regressions and seven PQ models were investigated, while four GEP models were made. The selection of each model variable depends on soil indices, grouping into grain size distribution, Atterberg limits, and compaction parameters. The results of this analysis showed that the PQ model had a higher accuracy [coefficient of determination (R2) = 0.89, root mean square error (RMSE) = 16.006, uncertainty (U95) = 16.17, and reliability = 57%] than the multilinear regression model, which has a lower accuracy model [R2 = 0.811, RMSE = 20.791, U95 = 15.569, and reliability = 51%]. The best GEP model yields [R2 = 0.776, RMSE = 22.552, U95 = 15.787, and reliability = 53%]. Furthermore, sensitivity analysis was conducted to distinguish the influences of different input variables on CBR; it was found that fines percentage (F200), maximum dry density (MDD), and optimum moisture content (OMC) are the most influential variables.
A Victim-Based Framework for Telecom Fraud Analysis: A Bayesian Network Model
Authors: Ni Peifeng , Yu Wei
Published: September 2022

The increasingly rampant telecom network fraud crime will cause serious harm to people's property safety. The way to reduce telecom fraud has shifted from passive combat to active prevention. This paper proposes a victim analysis and prediction method based on Bayesian network (BN), which models victims from age, gender, occupation, marriage, knowledge level, etc. We describe the fraud process in terms of whether to report to the police, property loss, and realizing the reasoning of the whole process of telecom fraud. This paper uses expert experience to obtain a Bayesian network structure. 533 real telecom fraud cases are used to learn Bayesian network parameters. The model is capable of quantifying uncertainty and dealing with nonlinear complex relationships among multiple factors, analyzing the factors most sensitive to property damage. According to the characteristics of victims, we conduct situational reasoning in the Bayesian network to evaluate property damage and alarm situations in different scenarios and provide decision support for police and community prevention and control. The experimental results show that male staff in government agencies are the most vulnerable to shopping fraud and women in schools are the most vulnerable to phishing and virus fraud and have the greatest property loss after being deceived; victim characteristics have very limited influence on whether to report to the police.
State-Feedback Control for Cyber-Physical Discrete-Time Systems under Replay Attacks: An LMI Approach
Authors: Moreira Jose F. V. D. , Lacerda Marcio J.
Published: September 2022

This paper addresses the state-feedback control problem for cyber-physical discrete-time linear systems. The main goal is to design state-feedback controllers that can mitigate the interference of replay attacks in the stability of the closed-loop system. The system under replay attack is modeled as a switched linear system, and a packet-based approach is employed for control design. New conditions in the form of Linear Matrix Inequalities are presented to provide stabilizing controllers. Numerical experiments illustrate the effectiveness of the proposed method.
Application of Inclination Sensor in Real-Time Remote Monitoring System of Tunnel Structure Deformation
Authors: Xu YuFeng , Li Yiming , Qiu Jianfa
Published: September 2022

Through the “real-time monitoring system,” the inclination sensor can realize the real-time automatic monitoring of the existing lines within the influence scope of the subway structural engineering, which can provide timely and reliable information for the construction unit, so as to evaluate the safety of the project during the construction and the impact of the construction on the existing line, as well as the possible hidden dangers or accidents that may endanger the construction and the environmental safety of the existing line subway. Make timely and accurate forecast, so as to take effective measures to eliminate hidden dangers and avoid accidents.
The Efficacy and Safety of Acupuncture in the Treatment of Neurodermatitis: A Systematic Review and Meta-Analysis
Authors: Yang Lin , Li Xinyun , Huang Wei , Li Jialiang , Rao Xiangshu , Lai Yu
Published: September 2022

Background. Neurodermatitis is a common chronic inflammatory skin disease associated with neurological dysfunction. This study aimed to explore the efficacy and safety of acupuncture and moxibustion in the treatment of neurodermatitis through meta-analysis. Methods. We comprehensively searched 9 databases, including PubMed, Cochrane Library, EMBASE, Web of Science, Scopus, China National Knowledge Infrastructure (CNKI), Wanfang Database, China Science and Technology Journal Database (VIP), and China Biomedicine (CBM), from their inception to November 15, 2021, for published neurological and clinical randomized controlled trials (RCTs) using acupuncture to treat dermatitis. We also searched gray literature in four databases: Chinese Clinical Trials Registry, Chinese Cochrane Center, Open Grey, and GreyNet International. Two authors independently screened the data, extracted the literature, and evaluated the quality of the literature using Cochrane 5.3.3 and Review Manager 5.4.1 software. Results. The meta-analysis included 8 studies with a total of 728 participants, including 369 patients in the treatment group and 359 patients in the control group. Compared with conventional treatment, acupuncture significantly increased the effective rate (OR: 2.90, 95% CI: 1.78∼4.75;

p
<
0.001

) and decreased the recurrence rate after treatment (OR: 0.26, 95% CI: 0.12∼0.59;

p
=
0.001

). Meanwhile, analysis of disease symptom scores showed that acupuncture group had a greater impact (OR: 3.51, 95% CI: 2.12∼4.91;

p
<
0.00001

). Furthermore, no significant difference in the adverse reaction rate was observed. Conclusion. Acupuncture is safe and effective in treating neurodermatitis. However, the current level of research evidence is limited, and therefore, larger sample and high-quality RCTs are needed to confirm its safety and effectiveness. Protocol registration number is INPLASY2021110041.
Studies of Chordal Ring Networks via Double Metric Dimensions
Authors: Ahmad M. , Zahid Z. , Javaid M. , Bonyah E.
Published: September 2022

Locating the sources of information spreading in networks including tracking down the origins of epidemics, rumors in social networks, and online computer viruses, has a wide range of applications. In many situations, identifying where an epidemic started, or which node in a network served as the source, is crucial. But it can be difficult to determine the root of an outbreak, especially when data are scarce and noisy. The goal is to find the source of the infection by analysing data provided by only a limited number of observers, such as nodes that can indicate when and where they are infected. Our goal is to investigate where the least number of observers should be placed, which is similar to how to figure out the minimal doubly resolving sets in the network. In this paper, we calculate the double metric dimension of chordal ring networks

C

R

n

1,3,5

by describing their minimal doubly resolving sets.
Intravoxel Incoherent Motion Diffusion-Weighted Imaging and 3D-ASL to Assess the Value of Ki-67 Labeling Index and Grade in Glioma
Authors: Zhou Jian , Li Huafeng , Ma Xiaoming , Jin Miao , Meng Xin , Zhang Guangfeng
Published: September 2022

Objective. To determine the proportion of intravoxel incoherent motion diffusion-weighted images (IVIM-DWI) and three-dimensional arterial circulation markers (3D-ASL) in Ki-67 labeling index (Ki-67 LI) and glioma grading. Methods. According to the classification of diseases of the central nervous system dealt with by WHO in 2007, patients with stage II glioma were classified as low (

n
=
20

) and patients with stages III-IV were divided into higher levels (

n
=
22

). Prior to surgery, brain MRI, IVIM-DWI, and 3D-ASL were performed in all patients, and the actual water molecular diffusion coefficient (

D

), microcirculation coefficient (

D
∗

), blood flow fraction (

f

), and cerebral blood flow (CBF) were measured. A rank sum (Mann–Whitney

U

test) was used to compare the four upper and lower level Ki-67 LI measurements. Spearman’s method is used to identify the relationship between 4 groups of quantification and Ki-67 LI. Reciprocal grafting (ROC) curves were used to measure the diagnosis of four groups of glioma grading defects. Results. There were significant differences in

D

,

D
∗

,

f

, and CBF between the solid region of the tumor and the normal white matter contralateral to it (

P
<
0.05

). The significant differences of

r
D

,

r
D
∗

,

r
f

, and

r

CBF were shown between patients with low-grade glioma and high-grade glioma (

P
<
0.05

). Ki-67 LI was found to have negative correlation with

r
D

(

r
=
00.693

,

P
<
0.001

) and

r
f

(

r
=
00.539

,

P
<
0.001

), but similarly correlated with

r

CBF (

r
=
0.665

,

P
<
0.001

) in patients with glioma. Recipient efficacy for predicting advanced and secondary glioma from

r
D

,

r
f

,

r
D
∗

,

r

CBF, and Ki-67 LI raises AUCs of 0.819, 0.747, 0.719, 0.836, and 0.907, respectively. Conclusion. IVIM-DWI has good application value for preoperative grading of glioma.
On Some Numerical Radius Inequalities Involving Generalized Aluthge Transform
Authors: Hyder Javariya , Akram Muhammad Saeed , Alofi Abdulaziz S. , Akter Dilruba
Published: September 2022

Let

S

be any bounded linear operator defined on a complex Hilbert space

H
.

In this paper, we present some numerical radius inequalities involving the generalized Aluthge transform to attain upper bounds for numerical radius. Numerical computations are carried out for some particular cases of generalized Aluthge transform.
Interleukin-22 Ameliorates Dextran Sulfate Sodium-Induced Colitis through the Upregulation of lncRNA-UCL to Accelerate Claudin-1 Expression via Sequestering miR-568 in Mice
Authors: He Chonghua , Chen Zehan , Huang Jialan , Gan Riyun , Wang Jianyao , Wang Lisheng , Li Defeng , Yao Jun
Published: September 2022

Background. Bioactive compound such as interleukin-22 (IL-22) treatment is regarded as a sufficient treatment for ulcerative colitis (UC). It has been found that long noncoding RNAs (lncRNAs) expressed in many inflammatory diseases, including UC. We aimed to verify the treatment effect of bioactive compounds including IL-22 and lncRNAs in UC on colitis mice. Methods. UC mice were induced using DSS, followed by IL-22 or PBS intraperitoneally (i.p.) injection. Then, the histopathological parameters of the mice were determined. Then, RNA sequencing was performed to screen the differential lncRNAs. Quantitative real-time PCR (qRT-PCR) and lentivirus identified lncRNA-Ulcerative Colitis lncRNA (lncRNA-UCL) were regarded as the molecular regulator of the colitis mice. The correlation with lncRNA-UCL and mmu-miR-568 was validated using RNA-pulldown. Meanwhile, claudin-1 was predicted and confirmed as the target molecule of mmu-miR-568 using dual-luciferase assay. Results. IL-22 could significantly improve the histopathological features and decrease proinflammatory cytokine production in UC mice induced by DSS. It also can stimulate intestinal epithelial cell (IEC) reproduction and prevention of apoptosis. lncRNA-UCL was significantly downregulated in UC mice caused by DSS, while IL-22 treatment effectively reversed this effect. In terms of mechanism, lncRNA-UCL regulates intestinal epithelial homeostasis by sequestering mmu-miR-568 and maintaining close integrated protein expression, such as claudin-1. Conclusions. We have demonstrated the incredible role of bioactive compound, such as IL-22, in alleviating DSS-induced colitis symptoms via enhancing lncRNA-UCL expression. It can be regulated using tight junction (TJ) protein.
Vitis vinifera L. Flavones Regulate Hippocampal Neurons via Autophagy in APP/PS1 Alzheimer Model Mice
Authors: Zhang Peng , Maimaiti Znafuguli , Aili Gulixiati , Yuan Fang , Xiao Hui
Published: September 2022

Background. Alzheimer’s disease (AD) is a neurodegenerative disease and our current treatment approach can only delay its course rather than cure it completely. Flavones from Vitis vinifera L. have been reported to promote synaptic plasticity and indirectly affect the expression of cholinergic neurotransmitters in a rat model of Alzheimer’s disease. Objective. The aim of the study is to explore the effect of Vitis vinifera L. in APP/PS1 Alzheimer model mice. Methods. APP/PS1 AD mice were used as the research subjects, and the mice were divided into a model group, donepezil group, VTF low-dose group, VTF medium-dose group, and VTF high-dose group. C57BL/6 mice served as a control group. The autophagosomes were observed by a transmission electron microscope, and the expressions of LC3I, LC3IIand Beclin-1 were determined by Western blotting. The results of qRT-PCR are consistent with Western blotting. Results. VTF can exert a positive regulatory effect on AD mice by inhibiting autophagy. Conclusion. Our study supports that intragastrically administration of VTF is effective and operable in Alzheimer’s disease mice, and that inhibition of excessive autophagy may be one of the potential reasons why VTF exerts a therapeutic effect on AD.
Heuristic Approach for Packing Identical Rectangular Tiles in an Irregular Marble Slab
Authors: Yuan Zhe , Song Xiaocun , An Dong
Published: September 2022

Packing identical rectangular tiles in a large marble slab is a necessary task. However, when the region of the marble slab is a concave set, the characteristics of the concave set make it difficult to determine whether the rectangular tiles are in the region. For this purpose, this article proposes a heuristic approach to the problem of packing identical rectangular items with orthogonal constraints in a concave irregular region. The heuristic approach uses a tree-search structure, and the final layout is built by inserting a new item in an irregular polygon. The newly inserted item must satisfy the containment and the nonoverlapping constraints associated with the irregular polygon. Regarding the containment constraint, we propose an improved slope algorithm to obtain the inner-fit polygon (IFP) of irregular polygons and rectangular items and apply IFP to determine the relative position of a rectangular item and an irregular polygon to guarantee containment constraint. Compared with existing methods, this approach can not only be used in convex regions but also in concave regions. Numerical experiments and application examples illustrate the effectiveness of the approach.
Prognostic Comparison between cTACE and H101-TACE in Unresectable Hepatocellular Carcinoma (HCC): A Propensity-Score Matching Analysis
Authors: Yao Man , Cheng Simo , Zhai Xiaofeng , Zhao Hetong , Hong Jing , Li Xiaoyan , Meng Yongbin , Chen Wei
Published: September 2022

Background. Transarterial chemoembolization (TACE) is the most common treatment for patients with HCC who are unsuitable for radical therapies. Conventional TACE (cTACE) takes advantage of the preferential hepatic arterial supply of HCC for the targeted delivery of chemotherapeutic agents suspended in lipiodol, followed by embolization or reduction of arterial flow using various types of particles while sparing the surrounding liver parenchyma. Aims and Objectives. The current study is aimed at comparing the efficacy and safety profiles of transarterial infusion of recombinant human type-5 adenovirus (H101-TACE) with conventional transarterial chemoembolization (cTACE) in patients with unresectable hepatocellular carcinoma (HCC). Methods. Unresectable HCC patients that received H101-based TACE or cTACE from August 2018 to September 2021 were retrospectively evaluated. Propensity score matching (PSM) has a 1 : 1 ratio to eliminate possible confounder imbalances across cohorts. The main outcome was overall survival (OS), while secondary outcomes were progression-free survival (PFS) and tumor response. Results. This study included 111 patients classified across two cohorts: the H101-TACE cohort (

n
=
37

) and the cTACE cohort (

n
=
74

). Median OS within the H101-TACE cohort was 9.0 months longer than within the cTACE cohort before PSM (22.1 vs. 13.1 months,

P
=
0.043

) and 9.3 months longer following PSM (22.1 vs. 12.8 months,

P
=
0.004

). The median PFS within the H101-TACE cohort was 3.2 months longer compared to the cTACE cohort before PSM (6.5 vs. 3.3 months,

P
=
0.046

) and 2.5 months after PSM (6.5 vs. 4.0 months,

P
=
0.012

). The disease control rate for H101 and control cohorts was 81.1% and 59.5%, accordingly (

P
=
0.039

). Conclusion. The present study demonstrated that the H101-TACE is safe and efficient and can considerably enhance prognostic results for unresectable HCC compared to cTACE.