bluuebunny/crossref_metadata_2025 huggingface dataset:
The Adoption of Geographic Information Systems in the Public Sector of Saudi Arabia: A Conceptual Model
Authors: Alzahrani Nouf Abdulaziz , Sheikh Abdullah Siti Norul Huda , Mohamed Ibrahim , Mukred Muaadh
Published: November 2021

The development of fuzzy sets in geographic information systems (GIS) arose out of the need to handle uncertainty and the ability of soft computing technology to support fuzzy information processing. Fuzzy logic is an alternative logical foundation coming from artificial intelligence (AI) technology with several useful implications for spatial data handling. GIS has been found to have a crucial role in the performance of public sector organizations (PSO). However, the literature shows no universal model to support and shed light on GIS adoption, which lessens the chances for effective GIS adoption and usage. Therefore, a new model is needed for successful adoption and eventual enhanced organization’s performance. Thus, there is a need to investigate the factors that can bring about GIS adoption. Models for GIS adoption in literature are few and far between, and the few that exist are not applicable as they do not cover all the significant factors that can contribute to adoption success. Hence, this paper brought a GIS adoption model for PSOs to promote their performance. The model was developed through the extension of the Technology Acceptance Model (TAM) in addition to the DeLone and McLean’s Success Model. The study involved interviews with ten experts in ranking the extracted factors, and data was analyzed through thematic analysis. On the basis of the obtained analysis findings, the fundamental factors were found to be significant in their effects, and GIS adoption sufficiently related to the overall performance. Thus, the study contributes to the body of knowledge by filling the gap in the literature.
Investigation of Structural and Optical Properties of ZnO Thin Films Grown on Different Substrates by Mist-CVD Enhanced with Ozone Gas Produced by Corona Discharge Plasma
Authors: Kutlu-Narin Ece , Narin Polat , Lisesivdin Sefer Bora , Sarikavak-Lisesivdin Beyza
Published: November 2021

This study focuses on the growth and physical properties of ZnO thin films on different substrates grown by mist-CVD enhanced with ozone (O3) gas produced by corona discharge plasma using O2. Here, O3 is used to eliminate the defects related to oxygen in ZnO thin films. ZnO thin films are grown on amorphous soda-lime glass (SLG) and single crystals SiO2/Si (100) and c-plane Al2O3 substrates at 350°C of low growth temperature. All ZnO thin films show dominant (0002) diffraction peaks from X-ray diffraction (XRD). As expected, full width at half maximum (FWHM) of (0002) is decreasing in ZnO thin films on single-crystal substrates, especially c-Al2O3 due to similar crystal structure. It is found that the strain in the films is lowest in ZnO/c-Al2O3. The surface morphologies of the thin films are studied with atomic force microscopy (AFM) and scanning electron microscopy (SEM) measurements. Grown ZnO films have a hexagonal and triangular nanostructure with different nanostructure sizes depending on the used substrate types. The calculated surface roughness is dramatically decreased in ZnO/c-Al2O3 compared to the other grown structures. The confocal Raman measurements show the E2(H) peak of ZnO thin films at 437 cm−1. It is suggested that O3 gas produced by corona discharge plasma using O2 can be useful to obtain better crystal quality and physical properties in ZnO thin films.
Identification of Diabetic Retinopathy through Machine Learning
Authors: Bader Alazzam Malik , Alassery Fawaz , Almulihi Ahmed
Published: November 2021

A cross-sectional study of patients with suspected diabetic retinopathy (DR) who had an ophthalmological examination and a retinal scan is the focus of this research. Specialized retinal images were analyzed and classified using OPF and RBM models (restricted Boltzmann machines). Classification of retinographs was based on the presence or absence of disease-related retinopathy (DR). The RBM and OPF models extracted 500 and 1000 characteristics from the images for disease classification after the system training phase for the recognition of retinopathy and normality patterns. There were a total of fifteen different experiment series, each with a repetition rate of 30 cycles. The study included 73 diabetics (a total of 122 eyes), with 50.7% of them being men and 49.3% being women. The population was on the older side, at 59.7 years old on average. The RBM-1000 had the highest overall diagnostic accuracy (89.47) of any of the devices evaluated. The RBM-500 had a better autodetection system for DR signals in fundus images than the competition (100% sensitivity). In terms of specificity, RBM-1000 and OPF-1000 correctly identified all of the images that lacked DR signs. In particular, the RBM model of machine learning automatic disease detection performed well in terms of diagnostic accuracy, sensitivity, and application in diabetic retinopathy screening.
Quercetin Improves Mitochondrial Function and Inflammation in H2O2-Induced Oxidative Stress Damage in the Gastric Mucosal Epithelial Cell by Regulating the PI3K/AKT Signaling Pathway
Authors: Yao Xueting , Mei Yingbing , Mao Wanyu
Published: November 2021

Functional dyspepsia (FD) is one of the most common functional gastrointestinal disorders, the therapeutic strategy of which it is limited due to its complex pathogenesis. Oxidative stress-induced damage in gastric mucosal epithelial cells is related to the pathogenesis and development of FD. Quercetin (Que) is one of the active ingredients of Zhishi that showed antioxidant, antiapoptotic, and anti-inflammatory effects. The aim of this study is to investigate the effect of Que on oxidative stress-induced gastric mucosal epithelial cells damage and its underlying molecular mechanism. The gastric mucosal epithelial cell line GES-1 was treated with 200 μM of H2O2 to construct an oxidative stress-induced damage model. The H2O2 cells were then administrated with different concentrations of Que. The results indicated that high concentration of Que (100 μM) showed cytotoxicity in H2O2-induced GES-1 cells. However, appropriate concentration of Que (25 and 50 μM) alleviated the oxidative stress damage induced by H2O2, as demonstrated by the increase of proliferation, decrease of ROS generation, apoptosis, inflammation, and alleviation of mitochondrial function and cell barrier. In addition, Que increased the activation of phosphorylation of PI3K and AKT decreased by H2O2. To investigate whether Que alleviated the oxidative stress damage in GES-1 cells by the PI3K/AKT signaling pathway, the GES-1 cells were treated with Que (25 μM) combined with and without LY294002, the PI3K inhibitor. The results showed that LY294002 suppressed the alleviation effect on Que in H2O2-induced GES-1 cells. In conclusion, the current study demonstrates that Que alleviates oxidative stress damage in GES-1 cells by improving mitochondrial function and mucosal barrier and suppressing inflammation through regulating the PI3K/AKT signaling pathway, indicating the potential therapeutic effects of Que on FD.
Prevalence of Erectile Dysfunction and Associated Factors among Hypertensive Patients Attending Governmental Health Institutions in Gondar City, Northwest Ethiopia: A Cross-Sectional Study
Authors: Abuhay Deribew Abebaw , Gela Yibeltal Yismaw , Getu Ayechew Adera
Published: November 2021

Introduction. Erectile dysfunction is a common sexual problem affecting men with hypertension. It may result in withdrawal from sexual engagement, decreased work productivity, psychosocial problems including poor self-esteem and depression, and reduction in quality of life for both the affected men and their female partners. Objective. This study was aimed to determine the prevalence of erectile dysfunction and associated factors among hypertensive patients attending governmental health institutions in Gondar city, Northwest Ethiopia. Materials and Methods. An institutional-based cross-sectional study was conducted on 423 hypertensive men randomly selected using a systematic random sampling technique. Erectile dysfunction was assessed using the International Index of Erectile Function-5 tool. Sociodemographic, clinical, and behavioral factors were also collected using pretested interviewer-administered questionnaires. Data were entered into EpiData version 4.6 and analyzed using Stata-14. Binary logistic regression was performed to identify factors associated with erectile dysfunction. The level of significance was computed at a

p

value ≤ 0.05. Results. The mean age of the study participants was 58.84 ± 13.52 years. The prevalence of erectile dysfunction among hypertensive men was 46.34% (95% CI: 41.61, 51.12). About 28% of them had a mild form of erectile dysfunction while nearly 6% had severe forms. Age above 60 years (AOR = 3.8, 95% CI: 1.62, 6.55), stage II hypertension (AOR = 3.5, 95% CI: 1.63, 5.74), hypertension duration >10 years (AOR = 2.5, 95% CI:1.12, 4.19), comorbidity (AOR = 1.7, 95% CI: 1.04, 3.15), depression (AOR = 2.35, 95% CI: 1.31, 4.21), and being physically active (AOR = 0.48, 95% CI: 0.28, 0.83) were factors significantly associated with erectile dysfunction. Conclusion. Nearly half of the study participants had some form of erectile dysfunction, indicating the presence of a high burden of the problem. Assessment of hypertensive men for erectile dysfunction should be part of routine medical care.
A Poisson Equation-Based Method for 3D Reconstruction of Animated Images
Authors: Lei Ziang
Published: November 2021

3D reconstruction techniques for animated images and animation techniques for faces are important research in computer graphics-related fields. Traditional 3D reconstruction techniques for animated images mainly rely on expensive 3D scanning equipment and a lot of time-consuming postprocessing manually and require the scanned animated subject to remain in a fixed pose for a considerable period. In recent years, the development of large-scale computing power of computer-related hardware, especially distributed computing, has made it possible to come up with a real-time and efficient solution. In this paper, we propose a 3D reconstruction method for multivisual animated images based on Poisson’s equation theory. The calibration theory is used to calibrate the multivisual animated images, obtain the internal and external parameters of the camera calibration module, extract the feature points from the animated images of each viewpoint by using the corner point detection operator, then match and correct the extracted feature points by using the least square median method, and complete the 3D reconstruction of the multivisual animated images. The experimental results show that the proposed method can obtain the 3D reconstruction results of multivisual animation images quickly and accurately and has certain real-time and reliability.
GaitVision: Real‐Time Extraction of Gait Parameters Using Residual Attention Network
Authors: Hashmi Mohammad Farukh , Kumar Ashish B. Kiran , Chaitanya Prabhu , Keskar Avinash , Salih Sinan Q. , Bokde Neeraj Dhanraj
Published: November 2021

Gait walking patterns are one of the key research topics in natural biometrics. The temporal information of the unique gait sequence of a person is preserved and used as a powerful data for access. Often there is a dive into the flexibility of gait sequence due to unstructured and unnecessary sequences that tail off the necessary sequence constraints. The authors in this work present a novel perspective, which extracts useful gait parameters regarded as independent frames and patterns. These patterns and parameters mark as unique signature for each subject in access authentication. This information extracted learns to identify the patterns associated to form a unique gait signature for each person based on their style, foot pressure, angle of walking, angle of bending, acceleration of walk, and step‐by‐step distance. These parameters form a unique pattern to plot under unique identity for access authorization. This sanitized data of patterns is further passed to a residual deep convolution network that automatically extracts the hierarchical features of gait pattern signatures. The end layer comprises of a Softmax classifier to classify the final prediction of the subject identity. This state‐of‐the‐art work creates a gait‐based access authentication that can be used in highly secured premises. This work was specially designed for Defence Department premises authentication. The authors have achieved an accuracy of 90%±1.3% in real time. This paper mainly focuses on the assessment of the crucial features of gait patterns and analysis of gait patterns research.
Artificial Intelligence Assistive Technology in Hospital Professional Nursing Technology
Authors: Cai Yanxue , Clinto Moorhe , Xiao Zhangbo
Published: November 2021

Global aging is becoming more and more serious, and the nursing problems of the elderly will become very serious in the future. The article designs a control system with ATmega128 as the main controller based on the function of the multifunctional nursing robot. The article uses a convolutional neural network structure to estimate the position of 3D human joints. The article maps the joint coordinates of the colour map to the depth map based on the two camera parameters. At the same time, 15 joint heat maps are constructed with the joint depth map coordinates as the centre, and the joint heat map and the depth map are bound to the second-level neural network. The prediction of the position of the user’s armpit is further completed by image processing technology. We compare this method with other attitude prediction methods to verify the advantages of this research method. The research background of this article is carried out in the context of global aging in the 21st century.
Suppression of Bridge Flutter Using Suction Control
Authors: Tao Shibo
Published: November 2021

To verify the effectiveness of the suction‐based method for improving flutter stability of long‐span bridges, the forced vibration experiments for extracting the flutter derivatives of a section model with and without suction were performed, and the corresponding critical flutter wind speeds of this structure were calculated out. It is shown by the experiment that the flutter stability of the bridge depends on suction configuration. As the suction holes locate at the leeward side of the model, the critical flutter wind speed can attain maximum under the same suction velocity. In the analytical results, it is remarkably effective that the suction control improves the long‐span bridge flutter stability.
An Analysis of Community Group Buying Behavior of Urban Residents Based on Big Data
Authors: Huang Nanxin , Yu Kexin , Chen Cheng
Published: November 2021

By using keywords crawled by big data as a survey reference, this research applied latent category clustering method and binary logistic regression model analysis method to analyze the differences in community group buying behaviors of residents from different city scale and summarize the shopping behavior and features of different types of residents, for the purpose of offering advice on different marketing methods for different types of urban residents, so as to realize the precise marketing of community e-commerce and promote the further development of the industry.
Research on Audit Data Analysis and Decision Tree Algorithm for Benefit Distribution of Enterprise Financing Alliance
Authors: Bai Jie , He Tian
Published: November 2021

When traditional methods analyze the audit data of enterprise financing alliance, there are some problems, such as long algorithm modeling time and low accuracy of interest distribution algorithm of enterprise financing alliance. Therefore, this paper proposes an analysis method of interest distribution of enterprise audit data financing alliance based on the decision tree algorithm. The audit data collection process of enterprise financing alliance is given, and the continuous attributes of audit data are discretized by the C4.5 algorithm. We perform enterprise financing alliance audit data analysis, remove inconsistencies from audit data through data cleaning, and finally realize enterprise financing alliance audit data analysis based on the improved C4.5 algorithm. The experimental results show that this method can shorten the modeling time and improve the accuracy of interest distribution algorithm of enterprise financing alliance. We achieved an average accuracy of 84.7% with the C4.5 algorithm while 84.35% with NBTree.
[Retracted] Quercetin Prevents Radiation‐Induced Oral Mucositis by Upregulating BMI‐1
Authors: Zhang Jing , Hong Yiyang , Liuyang Zhenyu , Li Haozhe , Jiang Zhongyang , Tao Jingjing , Liu Hai , Xie Anyong , Feng Yili , Dong Xingjian , Wang Yihong , Dong Qinghua , Wang Guanyu
Published: November 2021

Radiation‐induced oral mucositis is a major adverse event of radiotherapy. Severe oral mucositis may cause unwanted interruption in radiotherapy and reduce long‐term survival in cancer patients receiving radiotherapy, but until now, there have been no effective options for preventing radiation‐induced oral mucositis. Quercetin is a flavonoid that is widely found in food species and has anti‐inflammatory, antioxidant, and anticancer activities. In this study, we investigated a new role of quercetin in preventing radiation‐induced oral mucositis. Quercetin exerted preventive effects against radiation‐induced oral mucositis induced by single‐dose (25 Gy) ionizing radiation or fractionated ionizing radiation (8 Gy × 3) in C57BL/6 mice and maintained the proliferation ability of basal epithelial cells. Quercetin pretreatment alleviated reactive oxygen species generation, NF‐κB pathway activation, and downstream proinflammatory cytokine production and reduced DNA double‐strand breaks and cellular senescence induced by ionizing radiation. Quercetin also upregulated BMI‐1 expression in oral epithelial cells and promoted ulcer repair. In addition, quercetin exerted similar radioprotective effects in irradiated primary cultured normal human keratinocytes, reduced reactive oxygen species generation and proinflammatory cytokine release, and promoted DNA double‐strand break repair and wound healing by upregulating the expression of BMI‐1, which is a polycomb group protein. Thus, quercetin can block multiple pathological processes of radiation‐induced oral mucositis by targeting BMI‐1 and may be a potential treatment option for preventing radiation‐induced oral mucositis.
A New Modified Model of the Streaming Potential Coupling Coefficient Depends on Structural Parameters of Soil-Rock Mixture
Authors: Zhang Xin , Zhao Mingjie , Wang Kui
Published: November 2021

The streaming potential effect in soil-rock mixture (SRM) is related to the compactness and rock content, but there is no model to quantitatively describe this behavior. In this paper, the Kozeny–Carman (KC) equation is modified by using the compactness and rock content. Then, the modified KC equation is substituted into the equation of streaming potential coupling coefficient. A new modified model of streaming potential coupling coefficient that depends on the compactness, rock content, particle shape, and particle gradation is proposed. The reliability of the new modified model is tested by experiments, and the applicable scope of the model is obtained. The results show that when the rock content is 30%, the permeability coefficient prediction accuracy of the modified KC equation is higher in the range of 85–95% compactness. The new modified model of the streaming potential coupling coefficient represents well the control of the compactness (75–95%) on the coupling coefficient. When the compactness remains 85%, the permeability coefficient calculated by the modified KC equation in the range of 10–70% rock content is consistent with the experimental data. The influence of the rock content (10–90%) on the coupling coefficient is well described by the new modified model of the streaming potential coupling coefficient. The new modified model of streaming potential coupling coefficient is helpful to quantitatively evaluate the internal structure evolution of embankment dam by using streaming potential phenomenon.
Natural Jute Fibre‐Reinforced Polymer Composite System for Posttensioned Beam Strengthening in Flexure
Authors: Archana D. P. , Jagannatha Reddy H. N. , Jeevan N. , Prabhakara R. , Aswath M. U. , Paruti Basavaraju
Published: November 2021

Existing structures require repair and strengthening owing to degradation caused by incorrect design and construction, environmental impacts, or structural upgradation to meet new seismic design standards or to correct execution problems that occurred during construction. These strengthening requirements can be satisfied by a variety of strengthening techniques. The creation of a fibre‐reinforced polymer (FRP) composite system offers a new design method for the strengthening of existing structures. In this study, posttensioned beams are strengthened by using sustainable materials such as natural jute fibre‐reinforced polymer (FRP) composites. The performance of these composite systems in the flexural strengthening of posttensioned beams was used to assess their effectiveness. Consequential result for longitudinal reinforcement throughout the length of the beam for flexural strengthening was evaluated. Flexural performance, crack width, ductility, and load‐deflection relationship study of control beams (Scheme A) and retrofitted beams (Schemes B and C) under different wrappings were considered in the investigation. An experimental study depicts that using the full wrapping (FW) technique increases the flexural strength of PSC beams wrapped in JFRP by 23% and, by using the strip wrapping (SW) technique, the flexural strength is increased by 10%. The JFRP composite system of strengthening has shown the highest deformability index and showed that the JFRP material has enormous potential as a structural strengthening material.
Choroidal Vascularity Index as a Biomarker for Visual Response to Antivascular Endothelial Growth Factor Treatment in Diabetic Macular Edema
Authors: Dou Ningxin , Yu Shanshan , Tsui Ching-Kit , Yang Boyu , Lin Jianqiang , Lu Xi , Xu Yue , Wu Benjuan , Zhao Jinfeng , Liang Xiaoling
Published: November 2021

Purpose. To investigate the choroidal vascularity index (CVI) as a prognostic factor for the visual efficacy of antivascular endothelial growth factor (VEGF) treatment in diabetic macular edema (DME). Methods. We retrospectively reviewed 92 DME eyes receiving anti-VEGF treatment, which were stratified as responders (≥5 letters gained) and nonresponders (<5 letters gained or lost). Baseline systematic features and optical coherence tomography features, including the CVI, adjusted ellipsoid zone (EZ) reflectivity, subretinal fluid (SRF), and disorganization of the retinal inner layers (DRIL), were evaluated between the two groups. Results. The baseline CVI was significantly lower in nonresponders than in responders (

0.66
±
0.05

,

0.69
±
0.05

, and

0.72
±
0.05

,

p
=
0.014

). After adjusting for other factors, the baseline CVI, DRIL, SRF, and adjusted EZ reflectivity were significantly associated with visual outcomes (CVI:

odds
 
ratio
 

OR

=
0.17

,

p
=
0.006

; adjusted EZ reflectivity:

OR
=
0.56

,

p
=
0.007

; DRIL:

OR
=
6.71

,

p
=
0.001

; and SRF:

OR
=
0.29

,

p
=
0.008

). Conclusion. DME patients with a higher CVI, higher adjusted EZ reflectivity, the presence of SRF, and the absence of DRIL at baseline were more likely to gain >5 letters in visual acuity after anti-VEGF treatment. CVI may serve as a novel biomarker for visual response to anti-VEGF treatment in DME.
Research on Classroom Online Teaching Model of “Learning” Wisdom Music on Wireless Network under the Background of Artificial Intelligence
Authors: Shan Jie , Talha Muhammad
Published: November 2021

This article uses a multimodal smart music online teaching method combined with artificial intelligence to address the problem of smart music online teaching and to compensate for the shortcomings of the single modal classification method that only uses audio features for smart music online teaching. The selection of music intelligence models and classification models, as well as the analysis and processing of music characteristics, is the subjects of this article. It mainly studies how to use lyrics and how to combine audio and lyrics to intelligently classify music and teach multimodal and monomodal smart music online. In the online teaching of smart music based on lyrics, on the basis of the traditional wireless network node feature selection method, three parameters of frequency, concentration, and dispersion are introduced to adjust the statistical value of wireless network nodes, and an improved wireless network is proposed. After feature selection, the TFIDF method is used to calculate the weights, and then artificial intelligence is used to perform secondary dimensionality reduction on the lyrics. Experimental data shows that in the process of intelligently classifying lyrics, the accuracy of the traditional wireless network node feature selection method is 58.20%, and the accuracy of the improved wireless network node feature selection method is 67.21%, combined with artificial intelligence and improved wireless, the accuracy of the network node feature selection method is 69.68%. It can be seen that the third method has higher accuracy and lower dimensionality. In the online teaching of multimodal smart music based on audio and lyrics, this article improves the traditional fusion method for the problem of multimodal fusion and compares various fusion methods through experiments. The experimental results show that the improved classification effect of the fusion method is the best, reaching 84.43%, which verifies the feasibility and effectiveness of the method.
Intelligent Method of Supply Chain Circulation Industry Structure Based on Machine Learning
Authors: Ran JingFei
Published: November 2021

In the deepening of supply chain competition, whether the structure of supply chain industry is reasonable and scientific has been severely tested. For warehousing, purchase and distribution channels, and customers, it largely determines whether the structure of supply chain is stable and efficient. The rationality of structure can determine the value of supply chain. By analyzing these four levels, this paper judges whether the supply chain structure is reasonable; the judgment standard is based on the three popular machine learning models, Stochastic Forest, XGBoost, and Support Vector Machine. The three models are based on a large number of real data environments. Through data simulation and parameter optimization, four supply chain characteristics are put into the model for simulation training for many times, and the three error numbers of MAE, RMSE, and MAPE of the model are analyzed to judge the reliability of the model. On this basis, through the combination of models, it is determined that the average percentage error of the combination of the three models is higher than that of the other pairwise combinations, reaching 0.937, which completes the expectation of intelligent prediction of supply chain structure.
The Eigenspace Spectral Regularization Method for Solving Discrete Ill-Posed Systems
Authors: Wireko Fredrick Asenso , Barnes Benedict , Sebil Charles , Ackora-Prah Joseph
Published: November 2021

This paper shows that discrete linear equations with Hilbert matrix operator, circulant matrix operator, conference matrix operator, banded matrix operator, TST matrix operator, and sparse matrix operator are ill-posed in the sense of Hadamard. Gauss least square method (GLSM), QR factorization method (QRFM), Cholesky decomposition method (CDM), and singular value decomposition (SVDM) failed to regularize these ill-posed problems. This paper introduces the eigenspace spectral regularization method (ESRM), which solves ill-posed discrete equations with Hilbert matrix operator, circulant matrix operator, conference matrix operator, and banded and sparse matrix operator. Unlike GLSM, QRFM, CDM, and SVDM, the ESRM regularizes such a system. In addition, the ESRM has a unique property, the norm of the eigenspace spectral matrix operator

κ

K

=

K

−
1

K

=
1

. Thus, the condition number of ESRM is bounded by unity, unlike the other regularization methods such as SVDM, GLSM, CDM, and QRFM.
The Evolutionary Game Analysis of Public Opinion Supervision of Engineering Quality in the Network Citizen Journalism Environment
Authors: Yang Yaohong , Zeng Yi , Dai Jing , Liu Ying
Published: November 2021

With the rapid development of mobile networks and citizen journalism, public opinion supervision has become an essential social supervision on engineering quality. They consider the dynamic characteristics of the spread process of public opinion and the game process of social supervision on engineering quality. The tripartite evolutionary game model of the government, contractors, and the public was constructed by coupling the Susceptible-Exposed-Infected-Removed (SEIR) model of public opinion spread and the evolutionary game model. Then, the influence laws of public opinion spread on the tripartite evolutionary game were analyzed and discussed through numerical simulation analysis. The results show that the public with more significant influence or authority is more able to restrain the quality behavior of government and contractors; increasing the probability of transforming ignorant into latent, the probability of converting latent into the communicator and topic derivation rate or reducing the direct immunization self-healing can improve the effectiveness of public opinion supervision; the true online public opinion can effectively restrain the quality behavior of contractors and urge the government to supervise actively. The research conclusions can provide a reference for improving the social supervision mechanism of engineering quality in the era of network citizen journalism.
Recurrent Adult Sacrococcygeal Teratoma Developing Adenocarcinoma: A Case Report and Review of Literatures
Authors: Cui Shengjie , Han Jing , Khandakar Binny , Friedman Barak , Nunez Domingo , Sara Gabriel A. , Levi Gabriel S.
Published: November 2021

Sacrococcygeal teratomas (SCT) are most commonly seen in infants and children but are rare in adults. Most adult SCT are benign and mature with a minority of tumors having immature components or overt malignancy. Here, we report a 65-year-old female with a SCT developing adenocarcinoma. The patient was diagnosed with benign sacrococcygeal cystic teratoma on her initial hospital visit and was treated with surgical resection. She was followed up postoperatively and was noted to have a markedly elevated CA 19-9 level 13 months after the surgery. Radiological and clinical examination revealed thickening of the perirectal soft tissues, located near the inferior portion of her previous incision site. Histological evaluation of the lesion showed invasive, moderately differentiated adenocarcinoma. Immunohistochemical staining results were suggestive, but not diagnostic, of anal gland adenocarcinoma. This case report expands the knowledge regarding an adenocarcinoma arising from a previously benign, adult SCT.
A Vehicle Detection Model Based on 5G‐V2X for Smart City Security Perception
Authors: Liu Teng , Xu Cheng , Liu Hongzhe , Li Xuewei , Wang Pengfei
Published: November 2021

Security perception systems based on 5G‐V2X have become an indispensable part of smart city construction. However, the detection speed of traditional deep learning models is slow, and the low‐latency characteristics of 5G networks cannot be fully utilized. In order to improve the safety perception ability based on 5G‐V2X, increase the detection speed in vehicle perception. A vehicle perception model is proposed. First, an adaptive feature extraction method is adopted to enhance the expression of small‐scale features and improve the feature extraction ability of small‐scale targets. Then, by improving the feature fusion method, the shallow information is fused layer by layer to solve the problem of feature loss. Finally, the attention enhancement method is introduced to increase the center point prediction ability and solve the problem of target occlusion. The experimental results show that the UA‐DETRAC data set has a good detection effect. Compared with the vehicle detection capability before the improvement, the detection accuracy and speed have been greatly improved, which effectively improves the security perception capability based on the 5G‐V2X system, thereby promoting the construction of smart cities.
Privacy-Preserving Fingerprint Authentication Using D-H Key Exchange and Secret Sharing
Authors: Wang Huiyong , Luo Mingjun , Ding Yong
Published: November 2021

Biometric based remote authentication has been widely deployed. However, there exist security and privacy issues to be addressed since biometric data includes sensitive information. To alleviate these concerns, we design a privacy-preserving fingerprint authentication technique based on Diffie-Hellman (D-H) key exchange and secret sharing. We employ secret sharing scheme to securely distribute fragments of critical private information around a distributed network or group, which softens the burden of the template storage center (TSC) and the users. To ensure the security of template data, the user’s original fingerprint template is stored in ciphertext format in TSC. Furthermore, the D-H key exchange protocol allows TSC and the user to encrypt the fingerprint template in each query using a random one-time key, so as to protect the user’s data privacy. Security analysis indicates that our scheme enjoys indistinguishability against chosen-plaintext attacks and user anonymity. Through experimental analysis, we demonstrate that our scheme can provide secure and accurate remote fingerprint authentication.
Study on the Characteristics of Self‐Stabilizing Height Distribution for Deep Foundation Pit Vertical Sidewall in Binary Strata of Upper Soil and Lower Rock
Authors: Ziguang Zhang , Li Yihang , Zhang Jiesheng , Xu Tao , Cao Guangyong , Xu YiKang
Published: November 2021

The self‐stability height of the foundation pit sidewall is an important criterion for evaluating the safety degree and designing the supporting structure. The strength reduction elastic‐plastic finite element numerical calculation method has been adopted in this paper. Based on comparative analysis of the stability characteristics for deep foundation pit in binary strata of upper soil and lower rock under multiple working conditions, the potential fracture surface of deep foundation pit and the evolution law of corresponding safety factor have been revealed under different Hs and H. A new idea that the vertical soil sidewall height (Hs) and the vertical rock sidewall height (Hr) are used as two independent evaluation indexes, respectively, for deep foundation pit stability in binary strata of upper soil and lower rock has been put forward. The distribution characteristics and variation law of Hs0 and Hr0 under different Hs and different H have been revealed, respectively. The spatial distribution map of the self‐stabilizing height for deep foundation pit vertical sidewall in upper soil and lower rock binary stratum has been constructed, and the mathematical fitting equation between Hr0 and Hs has been obtained. Finally, combined with the implementation effect of the deep foundation pit project of Ningxia Road Station for Qingdao Metro Line 3, the rationality of the conclusions is verified. The research results provide theoretical basis for quickly determining the self‐stability characteristics of foundation pit vertical sidewall.
Theoretical Analysis of Cu-H2O, Al2O3-H2O, and TiO2-H2O Nanofluid Flow Past a Rotating Disk with Velocity Slip and Convective Conditions
Authors: Dawar Abdullah , Bonyah Ebenezer , Islam Saeed , Alshehri Ahmed , Shah Zahir
Published: November 2021

The nanofluids can be used in the subsequent precise areas like chemical nanofluids, environmental nanofluids, heat transfer nanofluids, pharmaceutical nanofluids, drug delivery nanofluids, and process/extraction nanofluids. In short, the number of engineering and industrial applications of nanofluid technologies, as well as their emphasis on particular industrial applications, has been increased recently. Therefore, this exploration is carried out to analyze the nanofluid flow past a rotating disk with velocity slip and convective conditions. The water-based spherical-shaped nanoparticles of copper, alumina, and titanium have been considered in this analysis. The modeled problem has been solved with the help of homotopic technique. Convergence of the homotopic technique is shown with the help of the figure. The role of the physical factors on radial and tangential velocities, temperature, surface drag force, and heat transfer rate are displayed through figures and tables. The outcomes demonstrate that the surface drag force of the water-based spherical-shaped nanoparticles of Cu, Al2O3, and TiO2 has been reduced with a greater magnetic field. The radial and tangential velocities of the water-based spherical-shaped nanoparticles of Cu, Al2O3, and TiO2, and pure water have been augmented via magnetic parameter. The radial velocity of the water-based spherical-shaped nanoparticle of Cu has been augmented via nanoparticle volume fraction, whereas reduced for the Al2O3 and TiO2 nanoparticles. The tangential velocity of the water-based spherical-shaped nanoparticles of Cu, Al2O3, and TiO2 has reduced via nanoparticle volume fraction. Also, the variations in radial and tangential velocities are greater for slip conditions as compared to no-slip conditions.
Effect of Surgical Timing on the Refracture Rate after Percutaneous Vertebroplasty: A Retrospective Analysis of at Least 4‐Year Follow‐Up
Authors: He Bin , Zhao Jinqiu , Zhang Muzi , Jiang Guanyin , Tang Ke , Quan Zhengxue
Published: November 2021

Introduction. The effect of surgical timing on vertebral refracture rate and mortality remains elusive after percutaneous kyphoplasty (PKP) or percutaneous vertebroplasty (PVP), and we aim to assess the impact of surgical timing on vertebral refracture rate and mortality in patients undergoing percutaneous vertebroplasty. Methods. We did a retrospective cohort study of patients who underwent PKP or PVP because of osteoporotic vertebral compression fracture (OVCF) between April 1, 2014 and March 31, 2016. The primary outcome measure was the incidence of vertebral refracture. Secondary outcomes included the mortality and chronic back pain. Results. The rate of vertebral refracture was significantly lower in early surgical timing group than that in late surgical timing group (HR 2.415, 95% CI 1.318–4.427; P = 0.004). We found that the bone mineral density (BMD) was only the risk factor to increase the vertebral refracture rate after vertebroplasty (P = 0.001). In addition, there was similar mortality between the two groups (15.7% in early surgical timing group versus 10% in late surgical timing group). Male patients (27.3%, 12/44) had higher mortality compared to female patients (10.6%, 20/189), while the mortality was higher in patients with cerebral infarction (25%, 3/12) than those without cerebral infarction (12.1%, 17/140). Conclusions. Surgical timing significantly affects the vertebral refracture rate after PKP or PVP, which is also influenced by BMD. The mortality after the surgery is not affected by the surgical timing, but gender and cerebral infarction may be the risk factors of mortality.
Efficient Intrusion Detection System for SDN Orchestrated Internet of Things
Authors: Zeleke Esubalew M. , Melaku Henock M. , Mengistu Fikreselam G.
Published: November 2021

Internet of Things (IoT) can simply be defined as an extension of the current Internet system. It extends the human to human interconnection and intercommunication scenario of the Internet by including things, to bring anytime, anywhere, and anything communication. A discipline in networking evolving in parallel with IoT is Software Defined Networking (SDN). It is an important technology that is aimed to solve the different problems existing in the traditional network systems. It provides a new convenient home to address the different challenges existing in different network-based systems including IoT. One important security challenge prevailing in such SDN-based IoT (SDIoT) systems is guarantying service availability. The ever-increasing denial of service (DoS) attacks are responsible for such service denials. A centralized signature-based intrusion detection system (IDS) is proposed and developed in this work. Random Forest (RF) classifier is used for training the model. A very popular and recent benchmark dataset, CICIDS2017, has been used for training and validating the machine learning (ML) models. An accuracy result of 99.968% has been achieved by using only 12 features on Wednesday’s release of the dataset. This result is higher than the achieved accuracy results of related works considering the original CICIDS2017 dataset. A maximum cross-validated accuracy result of 99.713% has been achieved on the same release of the dataset. These developed models meet the basic requirement of a supervised IDS system developed for smart environments and can effectively be used in different IoT service scenarios.
Integrative Analytics for Technological Pedagogical Content Knowledge
Authors: Zhang Jin-E.
Published: November 2021

In this paper, we deeply analyze the general framework of technological pedagogical content knowledge (TPACK): it mainly involves technological knowledge (TK), pedagogical knowledge (PK), content knowledge (CK), technological content knowledge (TCK), technological pedagogical knowledge (TPK), and pedagogical content knowledge (PCK). Meanwhile, we also show that the conceptual framework of TPACK can help teachers to integrate a lot of complexity and tension in teaching and learning. Also, this study suggests that the framework of TPACK may be able to change the application mode of technology in education and the training mode of teachers and then provide a panoramic analysis for building a learning community.
A New Two-Stage Bargaining Game Approach for Intra- and Inter-WBAN Management
Authors: Kim Sungwook
Published: November 2021

The Internet of Medical Things (IoMT) is an amalgamation of smart devices to operate the wireless body area network (WBAN) by using networking technologies. To reduce the burden on WBANs, they link to the mobile edge computing (MEC), on which captured medical data can be stored and analyzed. In this paper, we design a new control scheme to effectively share the limited computation and communication resources in the MEC-assisted WBAN (M-W) platform. Based on the bargaining game theory, our proposed scheme explores the mutual benefits of intra- and inter-WBAN interactions. To dynamically adapt the current system conditions, we shape each WBAN’s aspirations to reach a reciprocal consensus for different application services. Utilizing two control factors, we provide a unifying framework for the study of intra- and inter-WBAN bargaining problems to share the limited system resource. Based on the feasibility and real-time effectiveness, the main novelty of the proposed scheme is the ability to achieve a relevant tradeoff between efficiency and fairness through the interactive bargaining process. At last, the experimental results show that the proposed scheme achieves substantial performance improvements to the comparison schemes.
Research on Load Characteristics of Axle‐Box Bearing Raceway under Wheel‐Rail Excitation
Authors: Liao Xiaokang , Yi Cai , Ou Fengyu , Zhang Yi , Chen Zili , Lin Jianhui
Published: November 2021

With the increasing speed of high‐speed trains, the service conditions of axle‐box bearing system worsen, and meanwhile, the dynamic performance of the axle‐box bearing directly affects the operational safety. However, the dynamic interactions of the axle‐box bearing in the traditional vehicle‐track system are often ignored. In this paper, a vehicle‐track coupling dynamic model considering axle‐box bearing has been built, and the effectiveness of the model is proved by field tests. Dynamic performance of the axle‐box bearing has been analyzed and discussed through numerical simulations under different working conditions. Comparing the roller‐raceway contact load characteristics under different working conditions, results show that the peak values of roller‐outer raceway contact load with wheel‐polygonal excitation are basically the same with those without wheel‐rail excitation. However, most of the peak values of roller‐outer raceway contact force under track irregularity and comprehensive excitation conditions are far greater than those under wheel‐polygonal excitation and no wheel‐rail excitation conditions, which indicates that the impact of track irregularity on the contact load is dominant.
Learning Obstacle on Addition and Subtraction of Primary School Students: Analysis of Algebraic Thinking
Authors: Sidik Geri Syahril , Suryadi Didi , Turmudi Turmudi
Published: November 2021

This study aims at exploring learning obstacles about arithmetic operations, and problems of addition and subtraction of whole numbers in primary schools. This preliminary qualitative research used a didactic research design. The participants of this study were 50 second-grade students at primary schools in three regencies. The instruments used were test and nontest. The test technique was conducted by giving questions about algebra, whereas the nontest technique was in the form of interviews. The data were analyzed using interactive analysis by Miles & Huberman. The findings indicate that there are three types of learning obstacles, namely, (1) ontogenic obstacles with psychological and instrumental types (students feel afraid and do not understand the prerequisite material), (2) epistemological obstacles (students’ experience in working on story problems with the concept of algebraic thinking does not exist), and (3) didactical obstacle (the methods taught tend to focus on the counting process instead of understanding the concept). Learning barriers can be categorized into three types, namely, ontogenic, epistemological, and didactic barriers. With the discovery of these learning barriers, a solution is found in the form of making learning designs that are tailored to the learning obstacles found. One of them is by applying grading questions from story problems into mathematical sentences.
Fatigue Life Calculation Method and Experimental Study of the Multiple Corrugated Diaphragm Coupling
Authors: Cao Angang , Ding Chunhua , Li Wei , Zhang Zhiyong
Published: November 2021

The multiple corrugated diaphragm (MCD) coupling is a new flexible coupling developed based on the diaphragm and diaphragm disc coupling. Compared to traditional couplings, the MCD coupling has the advantages of high torque diameter, high torque weight, and high compensation capability. It is more suitable for high power speed and high power density working conditions. The MCD coupling is subjected to axial, angular, torque, and centrifugal force loads. The fatigue failure caused by alternating stress is the primary failure mode of the coupling. The fatigue life of the MCD coupling cannot be accurately calculated because of the complexity of the force in operation. Some theoretical simplifications can only obtain the approximate result. In this paper, a parameterized finite element model of the MCDs is established. A method for calculating the fatigue safety factor of the MCD coupling is proposed based on a modified Goodman curve to know the design of the MCD coupling. The feasibility of this method is verified by the fatigue life test of the coupling.