bluuebunny/crossref_metadata_2025 huggingface dataset:
Improved Compressed Sensing Reconfiguration Algorithm with Shockwave Dynamic Compensation Features
Authors: Ju Mingchi , Dai Yingjie , Han Tailin , Wang Yingzhi , Xu Bo , Liu Xuan
Published: May 2022

This paper proposes a regularized generalized orthogonal matching pursuit algorithm with dynamic compensation characteristics based on the application context of compressive sensing in shock wave signal testing. We add dynamic compensation denoising as a regularization condition to the reconstruction algorithm. The resonant noise is identified and suppressed according to the signal a priori characteristics, and the denoised signal is reconstructed directly from the original signal downsampling measurements. The signal-to-noise ratio of the output signal is improved while reducing the amount of data transmitted by the signal. The proposed algorithm’s applicability and internal parameter robustness are experimentally analyzed in the paper. We compare the proposed algorithm with similar compression-aware reconstruction and dynamic compensation algorithms under the shock tube test and measured shock wave signals. The results from the reconstruction signal-to-noise ratio and the number of measurements required for reconstruction verify the algorithm’s effectiveness in this paper.
Moderating Effects of Requirements Uncertainty and Project Complexity on Value Creation Processes and Project Value: A Multigroup Analysis via Partial Least Squares Structural Equation Modeling
Authors: Heredia-Rojas Boris , Liu Li , Ramírez-Correa Patricio , Mariano-Melo Ari
Published: May 2022

Prior literature recognizes two schools of thought on value creation in projects: one based on transaction cost economics and the other on relational-based theories. There is little empirical research on the impacts of these approaches within different project contexts. This study aims at analyzing the effect of value creation processes on the project value moderated by requirements uncertainty and project complexity, two critical contextual variables. We used a cross-sectional survey to collect data from 168 project managers in Chile. Three groups were distinguished from a cluster analysis considering the requirements uncertainty and project complexity. A proposed conceptual framework is validated globally and for each group through a multigroup analysis via partial least squares structural equation modeling (PLS-SEM). The global model results indicate an R2 of 0.37, and for the groups, the R2 ranges from 0.33 to 0.85, and the path coefficients range from 0.57 to 0.92. Additionally, the PLS-SEM multigroup analysis shows significant statistical differences. Group 3 (low complexity and low uncertainty) is different from Group 1 (high complexity and high uncertainty) and Group 2 (high complexity and low uncertainty), with p values of 0.027 and 0.023, respectively. Therefore, these empirical findings contribute to the literature demonstrating that value creation processes impact the project value. In particular, these effects are moderated by the current level of project requirements uncertainty and complexity in different contexts.
Landscape Planning and Management Methods of Beautiful Rural Pastoral Complexes under the Background of Big Data
Authors: Wang Shuhua , Qin Anhua
Published: May 2022

With the continuous acceleration of the urbanization process, rural areas have gradually put forward construction plans for new rural forms. Pastoral complex is a construction mode of characteristic townships and rural complexes, which has become a new form of social development today. Pastoral complexes provide a new model of new rural construction, and its development is still in the preliminary stage for China. The construction of pastoral complexes involves rural landscape planning, economic management, etc. It is difficult for rural managers to process these complex data characteristics. Big data technology is affecting people’s lives, and the discipline of landscape architecture is also deeply affected by big data. This paper mainly uses data mining technology and neural network method to carry out feature mining and prediction on the landscape planning and management methods of beautiful rural pastoral complexes. In this paper, a data mining algorithm is used to classify the landscape types and locations of rural complex, and the neural network method is used to predict the landscape characteristics. The results show that the methods of data mining and neural network are feasible and reliable both in the proportion of classification and in the prediction of landscape planning. The maximum error of the prediction of landscape design is 2.87%, and the minimum error is only 0.79% using the neural network method, which is an acceptable error range.
A New Inflammation‐Related Risk Model for Predicting Hepatocellular Carcinoma Prognosis
Authors: Xing Mindan , Li Jia
Published: May 2022

Background. Hepatocellular carcinoma (HCC) is characterized by a poor prognosis. Inflammation has a vital role in the formation and development of HCC. However, the prediction of HCC prognosis using inflammation‐related genes (IRGs) remains elusive. In this study, we constructed a new IRG risk model to predict the HCC prognosis. Results. HCC‐related RNA expression profiles and their corresponding clinical data were downloaded from TCGA and ICGC databases to explore the IRGs’ predicting ability. Seven hundred thirty‐seven IRGs from GeneCards were used as candidate genes to construct the model. The associations of overall survival (OS) with IRGs were evaluated using the log‐rank test and univariate Cox analysis, and 32 out of 737 IRGs showed predicting the potential for HCC prognosis. These IRGs were further analyzed using the least absolute shrinkage and selection operator (LASSO) and multivariate Cox analyses. Finally, 6 IRGs were included in an IRG risk model. Based on the cut‐off of the risk score calculated according to the IRG risk model, HCC samples were divided into the high‐risk and the low‐risk groups. The OS of patients was lower in the high‐risk group than in the low‐risk group (P < 0.05). The area under the receiver operating characteristic curve (AUC) of the risk score was 0.78 for 3‐year survival. Univariate Cox and multivariate Cox analyses revealed that the risk score was an independent risk factor for HCC prognosis. The KEGG and GO enrichment analysis results further showed that the risk scores were closely related to inflammatory and immune pathways. In addition, the ssGSEA demonstrated that several immune cells and some immune‐related pathways were negatively correlated with the risk score. Conclusions. The new IRG risk score was an independent risk factor for HCC prognosis and could be used to assess the immune status of the HCC microenvironment.
Wind Flow Simulation around Rhizophora Mangrove Roots Using Computational Fluid Dynamics
Authors: Rahuman Sini , Ismail A. Mohamed , Varghese Shyla Manavalan , Toworfe George Kwamina , Sasikumar Bashyam
Published: May 2022

The characteristics of Rhizophora mangrove root structures and its efficiency in velocity dissipation process of heavy wind are studied in this paper. The influence of Rhizophora Mangrove roots on severe tropical storm (88 ‐117 km/hr.), intense tropical cyclone (166‐212 km/hr.), and very intense tropical cyclone (above 212 km/hr.) is investigated by simulating wind flow around these roots with inlet velocities 100 km/hr., 200 km/hr., and 300 km/hr. ANSYS Fluent software is used for developing the computational fluid dynamic (CFD) model and to perform simulation and analysis. The flow velocity profile reveals that these mangrove root structures have a significant impact on the severe and intense wind flow. It is found that the Rhizophora root structures reduce the velocity of the wind by more than 80% of the inlet velocity. This information can be utilized to visualize and better understand the benefits of these root structures and to reestablish mangrove forest, create new breakwater models, and to strengthen the existing ones.
Characterization of Bipolar Vague Soft
S
-Open Sets
Authors: Afzal Farkhanda , Mehmood Arif , Al Ghour Samer , Zafar Mudasar , Sakidin Hamzah , Gul Saeed
Published: May 2022

This paper concerns the study of the concept of bipolar vague soft

s

-open set, bipolar vague soft s-interior, bipolar vague soft s-closer, and bipolar vague soft s-exterior in bipolar vague soft topological spaces. By using such concepts, some results are addressed in bipolar vague soft topological spaces. The engagements among these results are also addressed by using bipolar vague soft

s

-open sets.
Network Penetration Intrusion Prediction Based on Attention Seq2seq Model
Authors: Yu Tianxiang , Xin Yang , Zhu Hongliang , Tang Qifeng , Chen Yuling
Published: May 2022

Intrusion detection is a critical component of network security. However, intrusion detection cannot play a very good role in the face of APT and 0 day. It needs to combine intrusion prevention, deception defense, and other technologies to ensure network security. Intrusion prediction is an important part of intrusion prevention and deception defense. Only by predicting the next possible attack can we prevent the corresponding intrusion or cheat adversary more efficiently. However, the current research on intrusion prediction has not received much attention. Most of the existing intrusion prediction research focuses on the prediction of security situation, specific security events, system calls, etc., having limitation in applicability and sequence dependency. In order to supplement this part of research, this paper reports the prediction of network penetration intrusion sequence for the first time. By introducing the ATT&CK framework, this paper builds a dictionary for the penetration intrusion types and builds three different seq2seq models. The experiment runs on the public and generated sequence data based on real APT events and adversary groups resulting that the model can predict future penetration intrusion sequence with an accuracy of up to 0.90.
Computer Deep Learning Network Security Vulnerability Detection Based on Virtual Reality Technology
Authors: Zheng Xiaokun
Published: May 2022

In order to detect the computer network security technology vulnerabilities due to various factors, the normal operation of the computer network must be ensured, the user’s confidential information must be protected, and it is proposed that the analysis and research on security vulnerability detection must be strengthened. This study introduces the working principle of the network security monitoring system, analyzes the key technologies involved in the system development process and network programming technology, gives the overall architecture of the system, and designs the processing flow of the monitoring function. The test and analysis of the system show that the design of the system has achieved the expected design goal. The design of the system has achieved the expected design goal. The five test points can meet the standard time specified in the demand analysis process. The time difference of all module test points in the test is less than 3 s. The system can realize the remote acquisition and real-time monitoring of the network access, file system operation, system operation status, and other information of the controlled computer. Through the test and analysis of the system, it is shown that the system has achieved the expected design goal, the working state problem, and can meet the functional requirements of internal network security monitoring. It can be applied to enterprises, institutions, and departments that have higher requirements for intranet information security.
Yanghe Decoction Effectively Alleviates Lung Injury and Immune Disorder in Asthmatic Mice Induced by Ovalbumin
Authors: Li Cui , Tian Liming , Jiang Yuwei , Wang Yu , Xue Lingna , Zhang Shaoyan , Wu Xianwei , Huang Xing , Qiu Lei , Ma Zifeng , Lu Zhenhui
Published: May 2022

Objective. To probe into the ameliorative effect of Yanghe Decoction on pulmonary injury and immunologic derangement in asthmatic mice. Methods. C57BL/6 mice were randomized into control (Con), Model, and Yanghe Decoction (YHF) groups, with 12 in each. The asthma model of adult female mice was induced by ovalbumin in the Model group, and the YHF group was treated by Yanghe Decoction on the basis of asthma modeling. The Con group received the same amount of normal saline. Inspiratory resistance (Ri), expiratory resistance (Re), lung compliance (CL), and maximal voluntary ventilation (MVV) were measured after modeling. Lung tissue was collected for the measurement of interleukin (IL)-4, IL-5, IL-6, IL-10, IL-13, and tumor necrosis factor-α (TNF-α) by ELISA kits. Combined with HE staining and PAS staining, the pathological alterations of the lung in each group were observed, and CD4+, Th2, and Th1 contents were determined by flow cytometry (FCM). Results. The pulmonary function (PF) test revealed notably reduced Ri and Re as well as enhanced CL and MVV in asthmatic mice after the application of Yanghe Decoction. Yanghe Decoction dramatically ameliorated the pathological changes of lung tissue in asthmatic mice, as demonstrated by the staining results. ELISA results showed that Yanghe Decoction validly reduces lung tissue IL-4, IL-5, IL-6, IL-13, TNF-α and upregulates IL-10 in asthmatic mice. FCM indicated that Yanghe Decoction obviously reduced the number of Th1 and Th2 cells in asthmatic mice, although it caused the decrease of CD4+ cells, but the difference was not statistically significant. Conclusions. Yanghe Decoction can effectively ameliorate the inflammatory reaction, immune cell disorder, and PF injury in ovalbumin-induced asthmatic mice.
Multidomain Narrowband Interference Intelligent Suppression Method Based on Cognitive Radio and MIMO in UAV Data Link
Authors: Luo Xianquan , You Ling , Lv Junwei , Zhong Chen
Published: May 2022

In this paper, a kind of antinarrowband interference intelligent method based on cognitive MIMO (multiple-input multiple-output) airspace, time domain, frequency domain, and code domain is proposed. This method combines perceptual technology, spread spectrum code, MIMO space-time coding, and so on. Through coordinating space, time, frequency, and code element diversity, the narrowband interference in the UAV (unmanned aerial vehicle) monitoring and control link is effectively countered. The input and output model of MIMO monitoring and control link of UAV with natural interference are described. Then, the realization principle of the multidomain antinarrowband interference method based on CR-MIMO is presented, and the corresponding models of receiving and transmitting are also given. Finally, the anti-interference performance of the proposed method is analyzed theoretically and validated through simulation experiments, and the effectiveness of the proposed method is verified.
Prognostic Risk Signature and Comprehensive Analyses of Endoplasmic Reticulum Stress-Related Genes in Lung Adenocarcinoma
Authors: Yang CaiZhen , Wei YuHui , Li WenTao , Wei JinMei , Chen GuoXing , Xu MingPeng , Liu GuangNan
Published: May 2022

Lung adenocarcinoma (LUAD) is the main pathological subtype of non-small-cell lung cancer. Endoplasmic reticulum stress (ERS) has been found to be involved in multiple tumor-related biological processes. At present, a comprehensive analysis of ERS-related genes in LUAD is still lacking. A total of 1034 samples from TCGA and GEO were used to screen differentially expressed genes. Further, Random Forest algorithm was utilized to screen characteristic genes related to prognosis. Then, LASSO Cox regression was used to construct a prognostic signature. Taking the median of signature score as the threshold, patients were separated into high-risk (HR) group and low-risk (LR) group. Tumor mutation burden (TMB), immune cell infiltration, cancer stem cell infiltration, expression of HLA, and immune checkpoints of the two risk groups were analyzed. TIDE score was used to evaluate the response of the two risk groups to immunotherapy. Finally, the gene expression was verified in clinical tissues with RT-qPCR. An eight-gene signature (ADRB2, AGER, CDKN3, GJB2, SFTPC, SLC2A1, SLC6A4, and SSR4) was constructed. TMB and cancer stem cell infiltration were higher in the HR group than the LR group. TIDE score and expression level of HLA were higher in the LR group than the HR group. Expression level of immune checkpoints, including CD28, CD27, IDO2, and others, were higher in the LR group. Multiple drugs approved by FAD, targeting ERS-related genes, were available for the treatment of LUAD. In summary, we established a stable prognostic model based on ERS-related genes to help the classification of LUAD patients and looked for new treatment strategies from aspects of immunity, tumor mutation, and tumor stem cell infiltration.
“(Meth) Will Hurt You and Hurt Your Teeth”: Teen, Parent, and Dental Practitioner Perspectives on Implementing Crystal Meth Use Prevention Messaging in the Dental Office Setting
Authors: Skeer Margie R. , Landy David M. , Ryan Emma C. , Lee-Bravatti Michelle , Boyadjian Tamar , Towers Jennifer
Published: May 2022

Objectives. Crystal methamphetamine (“meth”) use among youth living in rural areas is higher than the national average. Given how drastically meth affects teeth (i.e., “meth mouth”), engaging dental professionals as one of multiple channels in rural areas to deliver meth prevention messaging is a novel approach. The objective of this research was to assess the feasibility and acceptability of incorporating meth use prevention messaging into dental visits with teenagers. Methods. We conducted phenomenological, qualitative research with dental practitioners, teens, and parents/guardians in three communities in North Idaho, from 2015 to 2016. We recruited practitioners using a snowball sampling strategy and placed phone calls to dental practices and contacted teens and parents through schools, libraries, local sporting events, and word-of-mouth. Using NVivo 12-Plus, parent- and teen-specific codebooks and themes were developed from guides and transcripts. Transcripts of the dentists and hygienists were reviewed to ascertain the main ideas and themes. Results. Overall, practitioner, teen, and parent participants viewed meth prevention messages delivered by dental professionals as acceptable and feasible. Compared to those in private practice, public health dental providers were invested in meth prevention and were eager to help. Barriers to overall acceptability and feasibility included hygienists’ low self-efficacy to deliver a communication-based intervention, infrequency of dental visits impacting the ability to reach enough teens through this venue, and the fact that teens could feel “targeted” by providers. Teens also raised concerns about scary messages exacerbating preexisting dental visit anxiety. Facilitators included the following: dental practitioners already engaging in health education with their patients, parents, and teens seeing dental professionals as appropriate purveyors of antimeth messaging and support for increased meth prevention efforts given the impact of meth use in their communities. Conclusions. Well-crafted, developmentally appropriate meth prevention messages would likely be well received by teens and supported by parents in dental offices. These data are being used to develop a novel, theory-based communication and behavioral strategy to integrate dental professionals into the delivery of messages aimed at preventing the initiation of meth use among rural Idaho teens.
Experiment and Numerical Simulation on Creep Mechanical Behaviors of Mudstone under Unloading Condition
Authors: Feng Xudong
Published: May 2022

The deep soft rock with complex occurrence conditions is easy to produce significant creep deformation under the influence of high in situ stress, high temperature, and disturbance, which has a great influence on the safety and long-term stability of structures with long service life, such as underground chambers and nuclear waste storage rooms. To study the creep effect of surrounding rock of deep chamber under the condition of excavation and unloading, creep tests of deep mudstone over 1000 meters in unloading confining pressure were carried out in this work. The experimental results show that high confining pressure has a significant inhibition effect on the creep behavior of rock, while high axial stress aggravates the creep behavior, which is manifested by the increase of creep deformation and the shortening of total creep time. When the axial stress is higher than the yield strength of the rock mass, the rock mass enters the tertiary creep stage (which is characterized by large deformation and instability failure in a short period of time). An improved nonlinear viscoelastic-plastic rock creep model, which can simulate three creep stages, is established (well verified). In addition, the creep deformation of surrounding rock after excavation is simulated based on this model, and the simulation results are consistent with the engineering practice: after 165 days of excavation, there is still a large deformation rate.
Driver’s Face Pose Estimation Using Fine-Grained Wi-Fi Signals for Next-Generation Internet of Vehicles
Authors: Akhtar Zain Ul Abiden , Rasool Hafiz Faiz , Asif Muhammad , Khan Wali Ullah , Jaffri Zain ul Abidin , Ali Md. Sadek
Published: May 2022

Driver’s behavior and gesture recognition are most significant in the emerging next-generation vehicular technology. Driver’s face may provide important cues about his/her attention and fatigue behavior. Therefore, driver’s face pose is one of the key indicators to be considered for automatic driver monitoring system in next-generation Internet of Vehicles (IoV) technology. Driver behavior monitoring is most significant in order to reduce road accidents. This paper aims to address the problem of driver’s attentiveness monitoring using face pose estimation in a nonintrusive manner. The proposed system is based on wireless sensing, leveraging channel state information (CSI) of WiFi signals. In this paper, we present a novel classification algorithm that is based on the combination of support vector machine (SVM) and

K

nearest neighbor (KNN) to enhance the classification accuracy. Experimental results demonstrate that the proposed device-free wireless implementation can localize a driver’s face very accurately with an average recognition rate of

91.8
%

.
Numerical Study on Pipeline Pressure Surge of the Large Aircraft Fuel System
Authors: Tu Yi , Chen Xuanren , Yin Liang , Zheng Qiuyun , Zeng Yu
Published: May 2022

The sudden closure of the refueling valve during the refueling process will cause the water hammer phenomenon in the pipeline of the large aircraft fuel system and produce pressure waves propagating along the pipeline. In serious cases, it will cause severe damage to the pipeline. The pressure surge in the pipeline can be affected by many design factors. In this study, the numerical modeling method of the large aircraft fuel system is studied using the Flowmaster program, and the accuracy of steady and transient state analysis of the simulation method is verified by experimental data. Based on this numerical method, a complete system-level simulation model of the large aircraft fuel system was established. Using this model, the effects of valve closure speed, diameter of the refueling main pipe, and refueling volume flow rate on pipeline pressure surge during the refueling process are investigated. The results indicate that all three factors have a significant impact on the pipeline pressure surge of the fuel system. The effect of the valve closing speed and the pipe diameter on the pressure surge of the pipeline is nonlinear and gradually weakened with the decrease of valve speed and the increase of pipe diameter, while the effect of refueling volume flow rate on the pipeline pressure surge is approximately linear.
HOXC6 Regulates the Epithelial-Mesenchymal Transition through the TGF-β/Smad Signaling Pathway and Predicts a Poor Prognosis in Glioblastoma
Authors: Eryi Sun , Zheng Li , Honghua Cai , Su Zhao , Han Xie , Donggang Pan , Zhou Zhou , Liping Zhan , Bo Chen
Published: May 2022

Background. The HOX gene family of transcription factors, characterized by conserved homeodomains, is positively correlated with the resistance to chemotherapy drugs and poor prognosis, as well as the initiating potential of gliomas. However, there are few studies regarding the HOXC6 gene in glioma cells. Therefore, in the present study, we explored the regulatory roles and detailed mechanisms underlying the relationship between HOXC6 and the progression of GBM. Methods. The expression levels and prognostic value of HOXC6 in GBM were evaluated using the data obtained from the GCCA, GEPIA, and ONCOMINE databases. The relationship between GBM prognosis and levels of HOXC6 was identified using Kaplan-Meier curves. The protein levels of HOXC6 in GBM and adjacent normal tissues were identified via Western blot and immunohistochemistry (IHC) staining methods. Lentiviruses containing full-length HOXC6 and HOXC6 specific siRNA sequences were used to overexpress and knock down, respectively, the expression of HOXC6 in U87 and U251 cells. The role of HOXC6 in the regulation of migration and proliferation of GBM cells was accessed using Transwell, wound healing, CCK-8, and colony formation assays. The activation of the TGF-β/Smad signaling pathway was detected via Western blotting. Results. Compared to normal tissues and control cells, GBM tissues and cell lines showed higher expressions of HOXC6. The expression of HOXC6 was associated with disease-free and the overall survival of GBM patients. Additionally, positive correlations between the expression of HOXC6 and the migration and proliferation of GBM cells were observed in vitro. The mechanistic analyses indicated that HOXC6 exerts its promotive effect on the progression and invasion of glioma cells by promoting the activation of the EMT and TGF-β/Smad signaling pathways. Conclusions. HOXC6 enhances the migration and proliferation of GBM by activating the EMT signaling pathway.
Controlled Wrinkling Analysis of Buckled Thin Films on Gradient Elastic Substrate System: A Numerical Study
Authors: Ali Ishtiaq
Published: May 2022

Continuous change in wrinkle patterns process of thin films to a gradient substrate is the most challenging problem regarding applying reliable and robust numerical methods for postbuckling analysis of the film/substrate system. For example, in the finite element method, the postbuckling simulation suffers from the convergence issue, while, in spectral methods, it is very difficult to capture the localized behavior in soft matters when the boundary conditions are complex. When a thin film is compressed, it can form a wrinkle of a certain amount of wavelength when the compression exceeds a critical value. The compressed compliant substrate system translates to sinusoidal wrinkles and then to period-doubling wrinkling after further compression. In this work, we investigate the mathematical model arising from the changing nature of wrinkle patterns of postbuckled thin films using a robust and efficient numerical algorithm based on the spectral method to evolve the wrinkle patterns. We consider the gradient substrates of three typical variations in the modulus, namely, the symmetry, exponential, and power-law model. It has been observed that the stable equilibrium path has two bifurcation points. At the first bifurcation point, the buckling instability of wrinkling occurs, while the period-doubling buckling instability occurs at the second bifurcation point. For the substrates of material gradients of various types, the amplitude and wavelength are obtained. This study may help in better understanding of wrinkle patterns formation which could be very useful for the designing of stretchable and flexible electronic devices of most substrate systems and to avoid resonance in the noise environment.
A Profile and Three-Year Follow-Up of Patients with Basal Cell Carcinoma in the Western Cape, South Africa
Authors: Gallo J. C. , Schneider J. W. , de Wet J. , Moxley K. , Jordaan H. F. , Visser W. I. , Tod B.
Published: May 2022

Background. Basal cell carcinoma (BCC) is an important malignancy in sub-Saharan Africa. There is a paucity of data regarding BCC in South Africa. Aims. To describe the clinicopathological features of patients presenting with BCC in a cohort of South African patients. Methods. This retrospective descriptive study reviewed the medical records of 149 patients with BCC who attended the dermatology clinic at Tygerberg Academic Hospital from September 2015 to August 2016. Demographic and clinical data of those patients with histologically proven BCC were retrieved from clinical records. The data included the assessment for BCC recurrence after three years (September 2016–August 2019). Results. Of 390 patients, 155 (39.7%) had histologically confirmed BCCs. Complete medical records were available for 149 of these patients, and most were male (55.7%) and white (85.9%) with a median age of 70 years. Most patients had their BCC lesions for 12 months (43.1%) before diagnosis. BCCs were mostly located on the head and neck area (58.1%). In most patients (72.0%), a diagnostic punch biopsy confirmed BCC. Plastic surgeons subsequently excised the BCC lesions in 74.0% of these patients. The most common histological subtype was nodular BCC (74.0%). The National Comprehensive Cancer Network (NCCN) risk of recurrence was approximately evenly distributed between high- (54.1%) and low-risk groups (45.9%). The major high-risk feature was the location (36.6%). Histologically confirmed BCC recurrence occurred in 9 of the 149 patients (3.7%) over three years. Conclusions. BCC represents a high burden of disease in our setting. Compared to existing studies, the BCCs in this study are clinically and histologically similar to international reports.
3D Input Convolutional Neural Network for SSVEP Classification in Design of Brain Computer Interface for Patient User
Authors: Oralhan Zeki , Oralhan Burcu , Khayyat Manal M. , Abdel-Khalek Sayed , Mansour Romany F.
Published: May 2022

This research was aimed at presenting performance of 3-dimensional input convolutional neural networks for steady-state visual evoked potential classification in a wireless EEG-based brain-computer interface system. Overall performance of a brain-computer interface system depends on information transfer rate. Parameters such as signal classification accuracy rate, signal stimulator structure, and user task completion time affect information transfer rate. In this study, we used 3 types of signal classification methods that are 1-dimensional, 2-dimensional, and 3-dimensional input convolutional neural network. According to online experiment with using 3-dimensional input convolutional neural network, we reached average classification accuracy rate and average information transfer rate as 93.75% and 58.35 bit/min, respectively. This both results significantly higher than the other methods that we used in experiments. Moreover, user task completion time was reduced with using 3-dimensional input convolutional neural network. Our proposed method is novel and state-of-art model for steady-state visual evoked potential classification.
Effect of Curing Condition on the Compressive Mechanical Behavior of Clayey Soil Stabilized with Liquid Polymer
Authors: Zhu Xiaoyong , Liu Jin , Xue Jian , Zhang Faming , Chen Zhihao , Hu Guochang , Jiang Canhui
Published: May 2022

This study investigates the potential use of polyvinyl acetate emulsion in soil strengthening with emphasis on curing condition. Molded clay specimens treated with three polymer contents of 1%, 2%, and 3% (by the weight of dry soil) are cured in dry and humid environment, respectively. Unconfined compression tests are performed on the specimens after 1, 3, and 9 days of curing, and the results are compared with that for the untreated clay specimens. This comparison shows that polyvinyl acetate polymer can enhance soil mechanical properties. It was found that the compressive strength of soil-polymer composite increases significantly with the increase of polymer content and curing time in air-drying condition, which is 24% higher than that of plain soil after 9-day curing. The role of polymer treatment is to provide soil interparticle binding, which becomes particularly important in humid environments. In curing environments of high moisture, polymer-treated soils always have greater strength, but the effectiveness of polymer treatment decreases with polymer content. The scanning electron microscopies indicate that soil structure is reinforced mostly by three-dimensional interparticle polymeric bridges. The tension in polymeric threads and textiles provides the interparticle bonding that prevents the development of cracks.
lncRNA-DANCR Promotes Taxol Resistance of Prostate Cancer Cells through Modulating the miR-33b-5p-LDHA Axis
Authors: Wang Yu-yong , Chen Chao
Published: May 2022

Prostate cancer (PCa) is one of the most common malignancies in men with high death rate worldwide. Paclitaxel (Taxol) is a widely used anticancer agent. Despite recent improvements in clinical application and research, development of drug resistance limits the efficacy of the Taxol-based chemotherapy. Previous studies revealed that the long noncoding RNA DANCR positively regulated progression of prostate cancer. However, the precise roles of DANCR in the Taxol sensitivity of PCa and the underlying molecular mechanisms remain largely unknown. Here, we report that the expressions of DANCR were significantly upregulated and miR-33b-5p were downregulated in prostate tumor specimens and cells as well as the Taxol-resistant prostate cancer cell line (PC3-TXR). Silencing DANCR or overexpressing miR-33b-5p effectively enhanced the Taxol sensitivity of PCa cells. Bioinformatics analysis, RNA pull-down assay, and luciferase assay consistently illustrated that DANCR was associated with miR-33b-5p, leading to downregulation of miR-33b-5p in PCa. Interestingly, glucose metabolism of PC3-TXR cells was remarkedly elevated. The glucose uptake, extracellular acidification rate (ECAR), and glycolysis speed-limiting enzyme expressions were significantly promoted in PC3-TXR cells. We further identified the glucose metabolism enzyme; LDHA was a direct target of miR-33b-5p in PCa cells. LDHA restoration attenuated miR-33b-5p-mediated PTX sensitization. Finally, the rescue of miR-33b-5p in DANCR-overexpressing PC3-TXR cells successfully overrode the DANCR-promoted Taxol resistance. In summary, this study uncovered biological roles and molecular mechanisms of the DANCR-promoted chemoresistance, contributing to the development of noncoding RNA-based therapeutic strategies against drug-resistant prostate cancer.
House Price Prediction Model of Zhaoqing City Based on Correlation Analysis and Multiple Linear Regression Analysis
Authors: Chen Ningyan
Published: May 2022

Situated in southern China, Zhaoqing City is a part of Guangdong Province, China. The total administrative area of the city covers 14,891 square kilometers. The data of China’s seventh population census in 2020 showed that the permanent resident population in Zhaoqing City reached up to 4,413,594. Meanwhile, Zhaoqing is one of the cities in the Guangdong-Hong Kong-Macao Greater Bay Area. House price analysis and prediction carried out against Zhaoqing City will have directive significance for relevant policies formulated by the local government, residential investment or purchase of consumers, and prediction of house price trend as well as business decisions made by enterprises. By virtue of machine learning and statistical theory, the house price in Zhaoqing City from 2010 to 2020 will be researched, and the house price prediction model of Zhaoqing City will be constructed in this paper with several variables including GDP, proportion of tertiary industry, income of urban residents, fiscal revenue, land price, investment volume in real estate development, permanent resident population, population density, and proportion of urban population in net migration. First of all, the methods of correlation analysis will be utilized, to select variables that are highly correlated with house price data based on correlation coefficients. Then, the model will be constructed for predicting the house price on the basis of multiple linear regression analysis that is conducted with selected variables. Finally, the prediction model will be adjusted gradually based on data with different correlations selected from available data, to realize better imitative effect and more precise predictive effect and select optimum prediction model. By means of the above model, the house prices of Zhaoqing City in 2021 and beyond will be predicted accurately, with preferable fitting effect and prediction effect.
Do Specific Craniomaxillofacial Features Correlate with Psychological Distress in Adult Pretreatment Orthodontic Patients? A Cephalometric Study
Authors: Xiao Chu-Qiao , Wan Yi-Dan , Yan Zhe-Bin , Li Ya-Qi , Fan Pei-Di , Cheng Qiao-Yu , Xiong Xin
Published: May 2022

Purpose. To explore the relationship between craniomaxillofacial features and psychological distress among adult pretreatment orthodontic patients. Methods. A group of 190 patients (95 males and 95 females) was included. Questionnaires including the Kessler psychological distress scale (K10) were sent to patients, and cephalograms were collected. Patients were divided into two groups according to K10 score: psychological distress group (score≥20) and no psychological distress group (score<20). Nineteen hard tissue and thirteen soft tissue parameters were traced on cephalograms to characterize the craniomaxillofacial features. Results. There was no significant difference in gender or age distribution between the two groups. Male patients with psychological distress showed statistically significantly larger anterior facial height (AFH) (126.62 mm vs. 120.97 mm), upper lip length (25.11 mm vs. 23.26 mm), and smaller overbite (1.21 mm vs. 2.75 mm) than patients without psychological distress. Male patients with hyperdivergent pattern and open bite were more likely to have psychological distress. None of the parameters showed statistical differences across groups in females. Frankfort-mandibular plane angle (r=0.235), Bjork’s sum (r=0.311), AFH (r=0.322), overbite (r=−0.238), AFH/posterior facial height (r=0.251), and upper anterior facial height (UAFH)/lower anterior facial height (LAFH) (r=−0.230) were correlated with K10 score in males. After adjusting gender and age, the AFH (B=0.147) and UAFH/LAFH (B=−14.923) were significantly related with the K10 score. Conclusion. Psychological distress was mainly correlated with hyperdivergent pattern, open bite, and larger lower anterior facial height proportion in pretreatment orthodontic patients. Orthodontists should be aware of the possible underlying psychological distress in patients with specific craniomaxillofacial features. Clinical assessment of psychological distress may need to take into account gender differences in patients.
Evaluation Method of Ecological Tourism Carrying Capacity of Popular Scenic Spots Based on Set Pair Analysis Method
Authors: Yan Xiangrong
Published: May 2022

By making adaptive adjustments to the tourism activities and tourism structure carried out in the tourist area, the natural resources of the scenic area can be protected while pursuing economies of scale. Moreover, it achieves a benign interaction between scenic spot development, planning, carrying capacity, and benefits, so that the scenic spot can develop sustainably under the condition of grasping the carrying capacity and restrictive conditions. This paper combines the set pair analysis method to evaluate the ecological tourism carrying capacity of scenic spots, so as to improve the quantitative effect of ecological tourism carrying capacity of scenic spots. In addition, this paper introduces the fuzzy analytic hierarchy process to determine the weight of the evaluation indicators and combines the set pair analysis method to establish a comprehensive evaluation model. The research results show that the evaluation method of ecotourism carrying capacity of popular scenic spots based on set pair analysis proposed in this paper has a good effect.
Clinical Performance of Triage Strategies for Hr-HPV–Positive Women; A Longitudinal Evaluation of Cytology, p16/K-67 Dual Stain Cytology, and HPV16/18 Genotyping
Authors: Stanczuk Grazyna , Currie Heather , Forson William , Baxter Gwendoline , Lawrence James , Wilson Allan , Palmer Timothy , Arbyn Marc , Cuschieri Kate
Published: May 2022

Background:

We evaluated the longitudinal performance of three options: HPV16/18 genotyping (HPV16/18), cytology (LBC), and p16/Ki-67 dual stain cytology (DS) for the triage of high-risk Human Papillomavirus–positive (Hr-HPV+) women within the cervical screening program in Scotland.

Methods:

Data were derived from a cohort of Hr-HPV+ women (n = 385) who participated in PaVDaG (Papillomavirus Dumfries and Galloway) study. Performance of triage strategies for detecting high-grade disease was assessed at 3 (in women <50 years) or 5 years (in women >50 years). Sensitivity, specificity, PPV, and cNPV of each triage test were calculated for CIN2+ and CIN3+ when used singly or sequentially.

Results:

The sensitivity of LBC (≥ borderline), DS, and HPV 16/18 genotyping for the detection of CIN2+ was 62.7% (50.7–73.3), 77.7% (63.1–83.7), and 62.7% (50.7–73.3) with corresponding cNPVs of 10.9%, 8.4%, and 11.9%. The option with the highest sensitivity and lowest cNPV was HPV 16/18 genotyping followed by LBC of Hr-HPV other+ and then DS of the LBC negatives. This yielded sensitivity of 94.7% (86.2–98.3) and cNPV 2.7% for CIN2+. Triage performance was similar if women had tested Hr-HPV+ positive by vaginal self-sampling.

Conclusions:

Two-step triage with HPV 16/18 genotyping before LBC (or DS) for Hr-HPV other+ women was associated with a lower risk of significant disease at follow-up compared with single triage approaches.

Impact:

This study provides longitudinal performance data on triage strategies in Hr-HPV+ women and will be informative for the evolution of cervical screening programs that increasingly rely on molecular technologies.
Evaluating the Potential of Polygenic Risk Score to Improve Colorectal Cancer Screening
Authors: Arnau-Collell Coral , Díez-Villanueva Anna , Bellosillo Beatriz , Augé Josep M. , Muñoz Jenifer , Guinó Elisabet , Moreira Leticia , Serradesanferm Anna , Pozo Àngels , Torà-Rocamora Isabel , Bonjoch Laia , Ibañez-Sanz Gemma , Obon-Santacana Mireia , Moratalla-Navarro Ferran , Sanz-Pamplona Rebeca , Márquez Márquez Carmen , Rueda Miret Rebeca , Pérez Berbegal Rocio , Piquer Velasco Gabriel , Hernández Rodríguez Cristina , Grau Jaume , Castells Antoni , Borràs Josep M. , Bessa Xavier , Moreno Victor , Castellví-Bel Sergi
Published: May 2022

Background:

Colorectal cancer has high incidence and associated mortality worldwide. Screening programs are recommended for men and women over 50. Intermediate screens such as fecal immunochemical testing (FIT) select patients for colonoscopy with suboptimal sensitivity. Additional biomarkers could improve the current scenario.

Methods:

We included 2,893 individuals with a positive FIT test. They were classified as cases when a high-risk lesion for colorectal cancer was detected after colonoscopy, whereas the control group comprised individuals with low-risk or no lesions. 65 colorectal cancer risk genetic variants were genotyped. Polygenic risk score (PRS) and additive models for risk prediction incorporating sex, age, FIT value, and PRS were generated.

Results:

Risk score was higher in cases compared with controls [per allele OR = 1.04; 95% confidence interval (CI), 1.02–1.06; P < 0.0001]. A 2-fold increase in colorectal cancer risk was observed for subjects in the highest decile of risk alleles (≥65), compared with those in the first decile (≤54; OR = 2.22; 95% CI, 1.59–3.12; P < 0.0001). The model combining sex, age, FIT value, and PRS reached the highest accuracy for identifying patients with a high-risk lesion [cross-validated area under the ROC curve (AUROC): 0.64; 95% CI, 0.62–0.66].

Conclusions:

This is the first investigation analyzing PRS in a two-step colorectal cancer screening program. PRS could improve current colorectal cancer screening, most likely for higher at-risk subgroups. However, its capacity is limited to predict colorectal cancer risk status and should be complemented by additional biomarkers.

Impact:

PRS has capacity for risk stratification of colorectal cancer suggesting its potential for optimizing screening strategies alongside with other biomarkers.
Association of Blood Pressure with Prostate Cancer Risk by Disease Severity and Prostate Cancer Death: A Pooled Cohort Study
Authors: Jochems Sylvia H.J. , Häggström Christel , Stattin Pär , Järvholm Bengt , Stocks Tanja
Published: May 2022

Background:

The association of blood pressure (BP) with prostate cancer risk after accounting for asymptomatic prostate-specific antigen (PSA) testing, and with prostate cancer death, is unclear.

Methods:

We investigated BP, measured at a mean age of 38 years among 430,472 men from five Swedish cohorts, in association with incident prostate cancer (n = 32,720) and prostate cancer death (n = 6718). HRs were calculated from multivariable Cox regression models.

Results:

Increasing systolic and diastolic BP levels combined were associated with a slightly lower prostate cancer risk, with a HR of 0.98 (95% CI, 0.97–0.99) per standard deviation (SD) of mid-BP (average of systolic and diastolic BP). The association was restricted to the PSA era (1997 onwards, HR, 0.96; 95% CI, 0.95–0.98), to diagnoses initiated by a PSA test in asymptomatic men (HR, 0.95; 95% CI, 0.93–0.97), and to low-risk prostate cancer (HR, 0.95; 95% CI, 0.92–0.97). There was no clear association with more advanced disease at diagnosis. In cases, a slightly higher risk of prostate cancer death was observed for higher BP levels (HR, 1.05; 95% CI, 1.01–1.08) per SD of mid-BP; however, the association was restricted to distant metastatic disease (Pheterogeneity between case groups = 0.01), and there was no association for BP measured less than 10 years prior to diagnosis.

Conclusions:

Prediagnostic BP is unlikely an important risk factor for prostate cancer development and death. Less asymptomatic PSA testing among men with higher BP levels may explain their lower risk of prostate cancer.

Impact:

Elevated BP is unlikely to be an important risk factor for prostate cancer.