bluuebunny/crossref_metadata_2025 huggingface dataset:
Prevalence of Treponema Pallidum Antibody among Volunteer Blood Donors in China
Authors: Zheng Xiaofan , Ding Wei , Ling Xia , Shi Jie , Dong Jie , Yu Guangshu , Chen Yan , Li Rui , Xu Lihong , Li Xiaotao , Zhu Hong , Zhu Faming , Hu Wei
Published: August 2022

Background. Infection with syphilis is still a major public health problem. The precise data for syphilis seroprevalence in the populations will help to develop a strategy for prevention and treatment of it. However, the data for syphilis prevalence in continuous years among volunteer blood donors in China is rare. Methods. A retrospective study for Treponema pallidum (TP) antibody in blood donors was conducted from January 2010 to December 2019 at the Blood Center of Zhejiang Province, China. TP antibody was detected with two different reagents using enzyme-linked immunosorbent assay and the only sample which was reactive in the two reagents was defined as seropositive. Results. A total of 992,646 volunteer blood donors were analyzed and the positive rate of TP antibody in the blood donors was 0.43%. From 2010 to 2019, the positive rates of TP antibody were 0.53%, 0.51%, 0.51%, 0.43%, 0.36%, 0.18%, 0.11%, 0.12%, 0.11%, and 0.10%, respectively. The positive rates of TP antibody were significantly different among blood donor age group (

p
<
0.001

), with the highest positive rate in 45–54-years-old group (0.93%). The positive rates of TP antibody in male and female blood donors were 0.44% and 0.41%, respectively. The positive rate was 0.57% among the first-time blood donors, which was significantly higher than that of the repeat blood donors (0.17%). The positive rate of TP antibody in blood donors decreased gradually with the increase of educational level. Conclusion. The syphilis seroprevalence is low in the blood donors of the Hangzhou area, and the positive rate of blood donors is associated with age, educational level, and times of blood donation. Increasing the number of repeat blood donations is helpful to improve blood safety.
Influence of Nurse-Led Health Education on Self-Management Ability, Satisfaction, and Compliance of Elderly Patients with Chronic Obstructive Pulmonary Disease Based on Knowledge, Belief, and Practice Model
Authors: Hu Wenyan , Li Tingyan , Cao Shenglong , Gu Yongping , Chen Liyan
Published: August 2022

Objective. Knowledge, belief, and behavior model (knowledge-attitude-practice (KAP)) is known as a cognitive model. Health education is important to the prognosis of patients, including chronic obstructive pulmonary disease (COPD) patients. However, the investigation regarding health education based on the KAP model is few. Thus, this work is aimed at analyzing the influence of nurse-led health education on self-management ability, satisfaction, and compliance of elderly patients with COPD based on knowledge, belief, and practice model. Methods. 60 elderly patients with COPD cured in our hospital from January 2019 to April 2021 were enrolled for the study. The patients were randomly assigned to control group (

n
=
30

) and study group (

n
=
30

). The former group received routine nursing, and the latter group accepted health education based on “knowledge, belief, and practice” model. Finally, the scores of nursing satisfaction, KAP score, compliance rate, self-management level, pulmonary function, and life quality were compared in the two groups. Results. The nursing satisfaction of the study group (100.00%) was higher than that (83.33%) of the control group (

P
<
0.05

). The scores of knowledge, attitude, and behavior were remarkably higher in the study group than in the control group after nursing (

P
<
0.05

). Moreover, KAP scores also significantly increased in the study group after nursing. The compliance rate of the study group (93.33%) was higher than that of the control group (66.67%) (

P
<
0.05

). After nursing, the scores of symptom management, daily life management, emotion management, information management, and management efficiency were higher in the study group than in the control group (

P
<
0.05

). In addition, pulmonary functions were improved in the two groups following nursing. Compared with the control groups, the 6 min walking distance, FEV1%, and FEV1/FVC% were higher in the study group (

P
<
0.05

). After nursing, the scores of life quality were reduced in the two groups. The scores of physiological function, psychological function, social function, and health self-cognition were lower in the study group than in the control group (

P
<
0.05

). Conclusion. Based on the model of knowledge, belief, and practice, nurse-led health education can successfully enhance the self-management ability, satisfaction, and compliance of elderly COPD patients.
Parasitic Elements Shorted to Ground to Enhance the Bandwidth of a Dual-Polarized Antenna
Authors: Jia Haokai , Mo Jinjun , Peng Lin
Published: August 2022

An ultra-wideband dual-polarized antenna covering multiple communication standards such as LTE700/GSM850/GSM900 is proposed in this paper. The antenna consists of two dipoles that are perpendicularly placed to each other. The two dipoles can generate +45°/−45° linear polarizations, respectively. Dual-loop structure is utilized as the arm of the dipole, while four parasitic patches with shorting walls are coupled to the dipoles to extend the operating bandwidth. The measured results show that the antenna has an impedance bandwidth of 101.4% (0.54 GHz–1.65 GHz) with a reflection coefficient less than −10 dB. The isolation between the two ports is larger than 22 dB, and the cross-polarization is less than −20 dB over the band. Good unidirectional radiation patterns are obtained.
Construction of German Machine Intelligent Translation System Based on Data Mining Algorithm
Authors: Liu Jinglan
Published: August 2022

The continuous expansion of the international market makes more people pay attention to learning different languages. As one of the most popular languages, German is favored by scholars. The use of intelligent translation systems to learn German has become the main way of learning. The increasing development of science and technology is accompanied by the emergence of a large number of new German words. The traditional German intelligent translation system has a slow update speed of words and cannot recognize new words, which seriously affects the accuracy of the translation. According to these questions, in this paper, the data mining algorithm is introduced into the German machine intelligent translation system. By evaluating the German machine intelligent translation system using a data mining algorithm in four aspects: translation speed, accuracy rate, recall rate, and user satisfaction, the evaluation results found that the translation speed of the system increased by 4.68%, the accuracy rate increased by 4.2, the recall rate has increased by 3.8%, and the user satisfaction score has increased by 0.825 points. The data mining algorithm can improve the German machine intelligent translation system and users’ interest in learning and promote German education.
Statins on Spontaneous Intracerebral Hemorrhage: A Meta-Analysis
Authors: Liu Xiaojiao , Luo Wenxiu , Huang Hua , Fan Jin
Published: August 2022

Objective. In order to explore whether the application of statins can improve the prognosis of patients with intracerebral hemorrhage. Methods. Studies of patients with intracerebral hemorrhage taking statins published in English until December 2021 were searched based on limited search terms, the retrieved literature was screened out based on inclusion and exclusion criteria, and the quality assessment and data extraction were carried out independently by two investigators. The extracted clinical data were then meta-analyzed. Results. A total of 17 literatures were included in this study, with a sample size of 16,988 cases, including 3,001 cases in the statin group and 13,487 cases in the control group. MRS score of mortality was used as the prognostic index to evaluate cerebral hemorrhage. According to the Newcastle-Ottawa Scale (NOS), the score of literature quality evaluation scale was 6–8, indicating good literature quality. Meta-analysis of clinical data extracted from the literature showed that the statin group reduced overall mortality after intracerebral hemorrhage compared with the nonstatin group (

P
<
0.01

). In terms of improving functional prognosis, the statin group improved functional prognosis 90 days after intracerebral hemorrhage (

P
=
0.01

). There was no significant difference between the statin and nonstatin groups in reducing the number of intracerebral hematomas. Conclusions. Statins can reduce the total mortality after ICH and improve the survival rate (90 d), without increasing the amount of hematoma.
Early, Noninvasive Clinical Indicators of Kidney Prognosis in Primary Nephrotic Syndrome: A Retrospective Exploratory Study
Authors: Fujimoto Keiji , Haraguchi Takatoshi , Kumano Sho , Yamazaki Keita , Miyatake Nobuhiko , Nomura Kanae , Mukai Kiyotaka , Okino Kazuaki , Hayashi Norifumi , Adachi Hiroki , Yokoyama Hitoshi , Iida Yasuo , Furuichi Kengo
Published: August 2022

This retrospective exploratory study aimed to identify early clinical indicators of kidney prognosis in primary nephrotic syndrome (NS). Univariate Cox proportional hazards regression analysis identified clinical parameters in the 2-month period after initiating immunosuppressive therapy (IST); it predicted 40% reduction in the estimated glomerular filtration rate (eGFR) in 36 patients with primary NS. Time-dependent receiver operating characteristic curve analysis was used to evaluate the performance of the predictors for the cumulative incidence of 40% reduction in the eGFR up to 8 years after initiating IST. The mean follow-up period was 71.9 months. The eGFR was reduced by 40% in four patients. Significant predictors for time to 40% reduction in the eGFR were as follows: an increase in the serum soluble urokinase plasminogen activator receptor (s-suPAR) 2 months after initiating IST (Δs-suPAR (2M); hazard ratio (HR) for every 500 pg/mL increase: 1.36,

P
=
0.006

), s-suPAR at 2 months after initiating IST (s-suPAR (2M); HR for every 500 pg/mL increase: 1.13,

P
=
0.015

), urinary protein-to-creatinine ratio (u-PCR) (u-PCR (2M); HR for every 1.0 g/gCr increase: 2.94,

P
=
0.003

), and urinary liver-type fatty acid-binding protein (u-L-FABP) (u-L-FABP (2M); HR for every 1.0 μg/gCr increase: 1.14,

P
=
0.006

). All four factors exhibited high predictive accuracy for cumulative incidence of 40% reduction in the eGFR up to 8 years after initiating IST, with areas under the receiver operating characteristic curve of 0.92 for Δs-suPAR (2M), 0.87 for s-suPAR (2M), 0.93 for u-PCR (2M), and 0.93 for u-L-FABP (2M). These findings suggest that Δs-suPAR (2M), s-suPAR (2M), u-PCR (2M), and u-L-FABP (2M) could be useful indicators of initial therapeutic response for predicting kidney prognosis in primary NS.
Classifier Adaptation Based on Modified Label Propagation for Unsupervised Domain Adaptation
Authors: Du Yongjie , Zhou Deyun , Xie Yu , Kong Weiren , Li Xiaoyang , Shi Jiao , Lei Yu
Published: August 2022

Unsupervised domain adaptation endeavors to learn a desirable classifier for a target domain by transferring knowledge learned from a related (source) domain. Existing approaches focus on deriving domain-invariant feature representations by aligning the domain distributions. However, those works often require an extra classifier. In contrast, this paper proposes a classifier adaptation method based on modified label propagation (CAMLP) for unsupervised domain adaptation. Inspired by pseudolabeling, CAMLP proposes a simple but effective measurement for relationships among cross-domain samples. Thus, samples from distinct domains are constructed in a same graph. The true labels can then propagate from the source domain to the target one along the graph. We also propose a consistency-aware pseudolabel annotation to alleviate the problem of negative transfer caused by unreliable pseudo labels. Extensive experiments on several benchmark datasets confirm that the proposed method performs favorably against the state-of-the-art approaches.
A Novel Trust Evaluation Mechanism for Edge Device Access of the Internet of Things
Authors: Feng Xiao , Yuan Zheng
Published: August 2022

The purpose of this paper is to build a novel trust evaluation mechanism model for edge devices of the Internet of Things (IoT). First, we use the SM9 authentication mechanism to authenticate the identity of the terminal device. Authentication includes both single-domain and cross-domain authentication of devices, reducing the time overhead of the authentication process. Then, we use the satisfaction function and the time degradation factor to improve the direct trust in the behavioural trust of Bayesian equations. Next, the weight of indirect trust of each device is calculated to improve the gray association method, and the accuracy of indirect trust is improved. Finally, the trust value of the edge device is obtained by combining the authentication result and the behaviour trust. Simulation results verify that the trust evaluation model proposed in this paper has certain advantages for the reliability, accuracy, and efficiency of trust evaluation.
Development and Implementation of a Low-Cost Test Solution for High-Precision ADC Chips Based on Intelligent Sensor Networks
Authors: Liu Xiangjun , Sun Jinkun
Published: August 2022

Analog-to-digital converters (ADCs) are moving toward high speed and high resolution for low-cost testing. Based on the theory of intelligent sensor network, this paper designs a low-cost test solution for high-precision ADC chips, which solves the problems related to signal integrity. It mainly includes the following: designing an appropriate circuit connection scheme, planning an appropriate PCB stack-up structure, formulating detailed layout and wiring constraints, etc., and building a high-speed ADC test platform to obtain static and dynamic performance; based on the existing instruments in the laboratory, the effects of different signal sources, different input powers, and the presence or absence of filters on the dynamic performance of high-speed ADCs are studied. In the simulation process, the HyperLynx simulation platform is used to design and simulate the signal integrity of the high-speed acquisition board. Combined with the relevant theoretical knowledge of the signal integrity of high-speed digital circuits, the signal integrity analysis and simulation of the ADC module circuit and the DDR3 high-speed memory circuit are carried out, respectively. The results show that, taking the histogram method as a reference, when the optimal 30 windows are selected, the integral nonlinearity (INL) error of the proposed method is 0.12 LSB, the highest sampling frequency is up to 5GSps, and 61440 sampling points are required. The time is reduced by about 30% compared with the excitation error identification and removal (SEIR) method, which effectively improves the low-cost test effect of the ADC chip.
Optimization of Plane Image Color Enhancement Based on Computer Vision
Authors: Cao Min
Published: August 2022

In order to enhance the color effect of plane image, this paper presents a method of optimization of color enhancement processing of plane image based on computer vision technology. This method combines Retinex algorithm with adaptive two-dimensional empirical decomposition and decomposes the image to achieve the effect of image color enhancement. The experimental results show that the average value of the image processed by this method is increased by about 0.3. The variance increased by about 0.13. Information entropy increased by about 0.3. The definition is improved by about 0.02. Conclusion. The optimization method of color enhancement processing of plane graphics based on computer vision technology can effectively improve the color of plane images, which is of great significance for image processing.
Investigation of Oxidation and Counter-Oxidation in a One-Quarter Circular Geometry due to Shadow Corrosion
Authors: Enivweru Doctor , Wang Qingyu , Ayodeji Abiodun , Zhou Yu
Published: August 2022

To optimize fission fuel and protect cladding integrity, this work investigates shadow corrosion in a one-fourth circular electrode geometry. The anodic corrosion of Zircaloy-2 (Zry-2) was investigated in a circular geometry electrode configuration under reactor operating conditions. The impact of gamma and neutron radiations on water conductivity and shadow corrosion was examined under two different cathodes. This work also investigates the effect of current exchange density and the cathodic Tafel coefficient on the cathodic current. Using COMSOL Multiphysics 5.2, the Laplace equation was solved to obtain the electrostatic potential and current density distributions in the studied domain. When the distance d between the anode (Zry-2) and cathode (platinum/nickel) is ≤0.5 mm, it was observed that a uniform oxide layer of thickness 20 µm grew on the smooth internal surface of Zry-2 for corrosion lasting 1166 h. When d > 0.5 mm, the oxide thickness falls in a manner dictated by the degree of dissociation α of the electrolyte. At a cladding gap of 0.08 mm, a radiation-enhanced uniform corrosion rate of 2.405 10−1 mmpy was obtained for Zry-2. This value is 142 times greater than that obtained at room temperature in the absence of radiation. It was also observed that the corrosion rate falls at higher cladding gaps, and the rate of change depends on the degree of dissociation. Other phenomena such as the dynamics of shadow corrosion under varying electrode separation and electrolyte conductivities, as well as extensive evaluation of critical fuel cladding parameters, are presented in this work.
Brainwave Acquisition Terminal Based on IoT Smart Sensor for English Listening Test
Authors: Bi Juan
Published: August 2022

In our teaching, teachers cannot understand students’ learning situation deeply, they can only judge students’ mastery of English through usual homework situation and test scores, but this is not an accurate way of judging. In addition, the combination of the Internet of Things and sensors and their application in the teaching field has made preliminary progress, and the phenomenon of Internet of Things smart sensors being used in teaching is becoming more and more common. For this reason, this article proposes that the brainwaves of the students’ learning process can be sent to a remote server for persistent transmission through the Internet of Things. It also collects brainwave data to match the learning structure in the student management system and finally establishes a machine learning model for analyzing the student’s learning process to analyze the student’s learning situation. This article discusses and constructs a brain wave collection terminal based on the intelligent sensor of the Internet of Things for English listening test. Experiments have shown that the brainwave collection terminal in this article has achieved an accurate grasp of how students learn in the English listening test. Its accuracy is as high as 89.34 ols pay more and more attention to the education of their children. However, the understanding of the students’ learning situation only stays on the surface, and it is impossible to have a deep understanding of the students’ specific learning situation. In addition, the development of science and technology has become more and more mature. The Internet of Things and smart sensors are gradually being used in the teaching field. Although they provide convenience for daily teaching activities, their research and development in this area is not very mature, and there are still many problems. In addition, products used in the field of brainwave sensors for teaching have appeared. However, the data cannot be obtained and the computer wave model cannot be established or modified. Therefore, the technology for applying brain wave sensors to teaching is not mature. Therefore, this article needs to study the brainwave collection terminal of English listening test, and provide technical support for more accurate grasp of students’ learning situation.
Influence of Personalized Health Management Model Based on Internet Mode on Self-Management Ability and Life Quality of Patients with Chronic Diseases Undergoing Physical Examination
Authors: Qiao Li , Li Ruijuan
Published: August 2022

Objective. To explore the influence of personalized health management model based on the Internet mode on self-management ability and life quality of patients with chronic diseases of physical examination. Methods. Sixty patients with chronic diseases who went through physical examination from February 2019 to April 2021 were enrolled in our hospital. The patients were arbitrarily assigned into control and research group. The former group received routine nursing, and the latter group received personalized health management mode based on the Internet mode. The nursing satisfaction, self-management behavior ability, blood pressure level, physiological index, mastery of health knowledge, and life quality scores were compared. Results. In terms of nursing satisfaction, the research group was very satisfied in 20 cases, satisfactory in 9 cases, and general in 1 case, with a satisfaction rate of 100.00%; In the control group, 15 cases were very satisfied, 9 cases were satisfied, 1 case was general, 5 cases were not satisfied, and the satisfaction rate was 83.33%; The nursing satisfaction of the research group was higher (

P
<
0.05

). Compared with the self-management behavior ability, the scores of diet control, regular medication, correct medication, and smoking cessation in the research group were remarkably higher (

P
<
0.05

). There exhibited no significant difference in blood pressure level before intervention (

P
>
0.05

); after intervention, the blood pressure levels lessened. Compared with the control group, the systolic blood pressure and diastolic blood pressure of the research group were lower (

P
<
0.05

). The levels of triglyceride, total cholesterol, low-density lipoprotein, and fasting blood glucose in the research group were remarkably lower (

P
<
0.05

). Compared with the control group, the scores of health knowledge in the research group were remarkably higher, including the harm of smoking, the use of drugs, the importance of persisting in taking drugs, the pathogenesis of chronic diseases, the effect of emotional management on the disease, and the dietary awareness in the research group (

P
<
0.05

). There exhibited no significant difference in the score of life quality before nursing (

P
>
0.05

); after nursing, the score of life quality lessened, and the scores of physiological function, psychological function, social function, and health self-cognition in the research group were lower (

P
<
0.05

). Conclusion. The personalized health management model based on the Internet mode can effectively enhance the chronic disease physiological indexes such as blood pressure, blood lipids, and blood sugar and improve the self-management ability of the patients with chronic disease, which is worth further popularizing and applying in the clinical physical examination in clinic.
SDF-1/CXCR4-Mediated Stem Cell Mobilization Involved in Cardioprotective Effects of Electroacupuncture on Mouse with Myocardial Infarction
Authors: Zhao Tian-tian , Liu Jia-jia , Zhu Jing , Li Han , Wang Ya-chao , Zhao Yue , Shao Shui-jin , Guo Hai-dong , Mou Fang-fang
Published: August 2022

Stem cell-based therapeutic strategies have obtained a significant breakthrough in the treatment of cardiovascular diseases, particularly in myocardial infarction (MI). Nevertheless, limited retention and poor migration of stem cells are still problems for stem cell therapeutic development. Hence, there is an urgent need to develop new strategies that can mobilize stem cells to infarcted myocardial tissues effectively. Electroacupuncture (EA) intervention can improve cardiac function and alleviate myocardial injury after MI, but its molecular mechanism is still unclear. This study is aimed at observing the effects of EA treatment on the stem cell mobilization and revealing possible mechanisms in the MI model of mice. EA treatment at Neiguan (PC6) and Xinshu (BL15) acupoints was conducted on the second day after the ligation surgery. Then, the number of stem cells in peripheral blood after EA in MI mice and their cardiac function, infarct size, and collagen deposition was observed. We found that the number of CD34-, CD117-, Sca-1-, and CD90-positive cells increased at 6 h and declined at 24 h after EA intervention in the blood of MI mice. The expression of CXC chemokine receptor-4 (CXCR4) protein was upregulated at 6 h after EA treatment, while the ratio of LC3B II/I or p-ERK/ERK showed a reverse trend. In addition, there was obvious difference in EF and FS between wild-type mice and CXCR4+/− mice. The infarct size, collagen deposition, and apoptosis of the injured myocardium in CXCR4+/− mice increased but could be ameliorated by EA. In a word, our study demonstrates that EA alleviates myocardial injury via stem cell mobilization which may be regulated by the SDF-1/CXCR4 axis.
Omega, Sadhana, Theta, and PI Polynomials of Double Benzonoid Chain
Authors: Farooq Fozia Bashir , Parveen Saima , Awan Nadeem Ul Hassan , Fanja Rakotondrajao
Published: August 2022

Counting polynomials are closely related to certain features of chemical graphs and provide an elegant means of expressing graph topological invariants. The current paper aims to calculate four polynomials for double benzenoid chains, Sadhana, omega, theta, and Padmakar–Ivan (PI). The edge‐cut method is used to derive analytical closed expressions for these polynomials.
Generating 3D Virtual Human Animation Based on Facial Expression and Human Posture Captured by Dual Cameras
Authors: Wang Junming , Chai Xiaojie , Han Guo , Wang Jixia
Published: August 2022

In order to generate 3D virtual human animation with smoother actions and richer and more vivid expressions, this article proposes a system based on dual cameras to synchronously capture human facial expressions and human posture, so as to better generate 3D virtual human animation. Firstly, the 2D features of the image are extracted through facial expression, and the benchmark is provided for the standard 3D coordinate values. At the same time, the 3D pose fusion is realized by using the pose measurement algorithm for human motion capture. Through the test, it is found that the two fusion algorithms can meet the requirements of the static accuracy of 0.5° and the dynamic accuracy of 0°, and the three-dimensional model of a virtual human body has a good effect in data-driven animation. The experiments show that the system can better capture facial expressions and human posture synchronously, and the frame rate in the experimental test can reach 20 fps, which can generate more natural and realistic 3D virtual human animation in real time.
[Retracted] Recent Advances in Cell and Functional Biomaterial Treatment for Spinal Cord Injury
Authors: Liu Tianyi , Zhu Wenhao , Zhang Xiaoyu , He Chuan , Liu Xiaolong , Xin Qiang , Chen Kexin , Wang Haifeng
Published: August 2022

Spinal cord injury (SCI) is a devastating central nervous system disease caused by accidental events, resulting in loss of sensory and motor function. Considering the multiple effects of primary and secondary injuries after spinal cord injury, including oxidative stress, tissue apoptosis, inflammatory response, and neuronal autophagy, it is crucial to understand the underlying pathophysiological mechanisms, local microenvironment changes, and neural tissue functional recovery for preparing novel treatment strategies. Treatment based on cell transplantation has become the forefront of spinal cord injury therapy. The transplanted cells provide physical and nutritional support for the damaged tissue. At the same time, the implantation of biomaterials with specific biological functions at the site of the SCI has also been proved to improve the local inhibitory microenvironment and promote axonal regeneration, etc. The combined transplantation of cells and functional biomaterials for SCI treatment can result in greater neuroprotective and regenerative effects by regulating cell differentiation, enhancing cell survival, and providing physical and directional support for axon regeneration and neural circuit remodeling. This article reviews the pathophysiology of the spinal cord, changes in the microenvironment after injury, and the mechanisms and strategies for spinal cord regeneration and repair. The article will focus on summarizing and discussing the latest intervention models based on cell and functional biomaterial transplantation and the latest progress in combinational therapies in SCI repair. Finally, we propose the future prospects and challenges of current treatment regimens for SCI repair, to provide references for scientists and clinicians to seek better SCI repair strategies in the future.
Credit Risk Evaluation of Asset Securitization of PPP Project of Sports Public Service Venues Based on Random Forest Algorithm
Authors: Wang Yanshou
Published: August 2022

Due to the characteristics of sports public service venues, there are still some financing difficulties under the PPP (public-private partnership) operation mode. Although asset securitization can solve its corresponding problems and enhance the standardization of PPP projects, its many participants, complex transaction structure, and other influencing factors still have a great impact on the financing effect. Therefore, this paper integrates the random forest algorithm into the asset securitization credit risk evaluation system of PPP project of sports public service venues, and screens the audition indicators of credit risk evaluation through the constructed model. The experimental results show that optimizing the parameter setting of random forest model can effectively reduce the misjudgment rate of default samples, while maintaining the stability of other performance indicators. Even if other misjudgment rates will increase to a certain extent, it is within a reasonable range, which improves the overall performance of the model. The ROC curve shows that the risk credit indicators selected by the model have strong evaluation performance and effectiveness and can provide some reference information for the credit risk prevention of asset securitization of PPP project of sports public service venues.
Prediction of College Students’ Sports Performance Based on Improved BP Neural Network
Authors: Tang Hengyao , Jiang Guosong , Wang Qingdong
Published: August 2022

Sports performance prediction has gradually become a research hotspot in various colleges and universities, and colleges and universities pay more and more attention to the development of college students’ comprehensive quality. Aiming at the problems of low accuracy and slow convergence of the existing college students’ sports performance prediction models, a method of college students’ sports performance prediction based on improved BP neural network is proposed. First, preprocess the student’s sports performance data, then use the BP neural network to train the data samples, optimize the selection of weights and thresholds in the neural network through the DE algorithm, and establish an optimal college student’s sports performance prediction model, and then based on cloud computing, the platform implements and runs the sports performance prediction model, which speeds up the prediction of sports performance. The results show that the model can improve the accuracy of college students’ sports performance prediction, provide more reliable prediction results, and provide valuable information for sports training.
Environmental Landscape Modeling Design Based on Smart City Public Facilities
Authors: Cai Pei
Published: August 2022

At present, the development of cities faces many problems of integration and coordination of practical operation and management. Smart cities will change the existing urban management model to a new management level and will bring about changes in many aspects. With the acceleration of urbanization, people will pay more attention to improving the living environment and living standards. Landscape is an important part of people’s living environment. The research of landscape modeling design is of great significance to improve people’s living environment. The purpose of this study is to study the modeling design of the environmental landscape of public facilities in smart cities. It improves the quality of residents’ living environment and the sense of belonging to the city by optimizing the landscape shape. This study firstly describes the point, line, surface, body, and color elements that constitute the landscape modeling and lists the corresponding vivid cases for design reference. Then, this study uses the virtual reality method and BIM technology to conduct a detailed analysis and research on the construction of landscape image and the dynamic visual characteristics of human eyes. Then, this study conducts a field investigation and research with the preference of the community vegetation as the investigation target and collects the residents’ satisfaction with the vegetation design. Experimental data show that more than 80% of residents prefer carefully designed and tailored plant combinations with regular arrangements. Then, based on these experimental results, this study proposes a targeted improvement plan for the landscape modeling design of the community. Through the research on the environmental landscape modeling design of public facilities based on virtual technology and BIM technology, it can enhance the interactivity of landscape experience, reduce design costs, and optimize landscape modeling design. It makes the landscape environment truly serve to improve the quality of life of residents.
A Case of Severe Multisystem Inflammatory Syndrome in Children (MIS-C) Treated with Multiple Biologics
Authors: Zulfiqar Beenish , Imran Hira , Collins Kathleen
Published: August 2022

The COVID-19 virus has impacted global health on a wide scale, affecting humans of all ages and ethnicities. While most have mild upper respiratory viral symptoms, some have died due to severe pneumonia, acute respiratory distress syndrome (ARDS), or coagulopathies to mention a few. It has been postulated that the COVID-19 virus can initiate an autoinflammatory reaction in the body via multiple pathways of cytokine activation. The virus can cause delayed response after 4–8 weeks of acute infection, which resembles a cytokine storm or MAS (macrophage activation syndrome). This highly inflammatory syndrome, called MIS-C or multisystem inflammatory response syndrome, needs to be diagnosed and treated early to prevent multiorgan damage and mortality. There are widespread lab abnormalities including highly elevated acute phase reactants ferritin, D-Dimer, lactate dehydrogenase (LDH), creatinine kinase (CK), sedimentation rate (ESR), and C-reactive protein (CRP) as well as markers of cardiac damage including troponin and brain natriuretic peptide (BNP). The syndrome can present in unique ways from classic MIS-C with hypovolemic shock to Kawasaki disease-like presentation. We present a case of a 12-year-old boy who presented to Le Bonheur Children’s Hospital in Memphis with classic signs and symptoms of “severe” MIS-C requiring intubation, multiple pressors, ECMO, and renal replacement therapy. He was treated successfully with immunomodulating medicines including intravenous immune globulin (IVIG), steroids, interleukin-6 inhibitor, tumor necrosis factor-a inhibitor, interleukin-1 inhibitor, and Janus kinase inhibitor.
Design of the Oral English Teaching Method Based on Multimodal Feature Fusion
Authors: He Xiaolei
Published: August 2022

In order to solve the problems of too complex speech extraction algorithm and insufficient representation ability in oral English teaching, this paper proposes a speech scoring mechanism based on multimodal fusion. Firstly, feature extraction of multimodal audio and video is carried out, and a multimodal speech error detection model of LSTM-CTC is proposed; Then, the distance of MCFF, volume intensity, and pitch track are calculated by the DTW algorithm, and the speech scoring model is established. The experimental results show that under the condition of no noise and strong noise, multimodal speech detection can achieve a better error detection effect, and its system score is close to the actual situation, which can provide new ideas for oral English teaching methods.
The Influence of Demographic Factors on Urban Medical Insurance Expenditure under Big Data
Authors: Ye Ning
Published: August 2022

As the urban basic medical insurance with the most widespread area and age coverage, a series of research is conducive to the optimization and better promotion of policies. As the main receptor of medical insurance, people analyze the impact of population factors on the expenditure of urban basic medical insurance, which is conducive to the improvement and implementation of the medical insurance system. In this paper, birth rate, total dependency ratio, urban population proportion, and educational population proportion were selected as independent variables, urban basic medical insurance expenditure was selected as dependent variables, and a regression model was established after data processing and analysis. The results show that the birth rate, the proportion of the urban population, and the expenditure of the urban basic medical insurance fund will change in the opposite direction; the expenditure of the urban basic medical insurance fund, the total dependency ratio, and the illiteracy rate will change in the same direction.
Effect of Propofol Intravenous Anesthesia Combined with Press-Needle Therapy on Analgesic Effect during Painless Abortion
Authors: Zhu Xia , He Xueming , Fan Baojun , Liu Jing , Wu Shuqing , Wang Hongli , Chen Chunwei
Published: August 2022

Objective. To discover the effect of propofol intravenous anesthesia along with press-needle therapy on analgesic effect during painless abortion. Methods. A total of 128 cases who experienced painless abortion in our hospital from January 2019 to August 2021 were recruited as the research subjects. They were categorized into control and observation groups through the haphazard number table approach, with 64 patients in each group. Propofol intravenous anesthesia was given to the control group, and the observation group was given combined anesthesia with press-needle on this basis. Ramsay score, hemodynamic indexes, operation-related indexes, and postoperative recovery were studied between the two groups before anesthesia (T0), at the time of uterine aspiration (T1), promptly following the operation (T2), and at the recovery time of directional force (T3). The stress state and the level of pain mediators in the two groups of sufferers were observed at each time period, and the visual analogue scale (VAS) was employed to assess the degree of postoperative uterine contraction pain. Results. Ramsay score at T1 and T2 time points in observation group was lesser than that in control group (

P
<
0.05

). There existed no meaningful discrepancies in operation time and recovery time between both groups (

P
>
0.05

). The total dosage of propofol in the observation group was lesser compared to that in the control group, and the recovery time of directional force was much shorter compared to that in the control group (

P
<
0.05

). There existed no meaningful discrepancies in perioperative diastolic blood pressure (DBP), systolic blood pressure (SBP), and heart rate (HR) between both groups (

P
>
0.05

). The levels of norepinephrine (NE), cortisol (Cor), glucose (GLU) and substance P (SP), prostaglandin E2 (PGE2), and 5-hydroxytryptophan (5-HT) in the observation group were lesser than those in the control group immediately after surgery and 24 hours following the operation (

P
<
0.05

). There existed no meaningful discrepancies in vaginal bleeding time, endometrial thickness 3 weeks after operation, and time to start menstruating between both groups (

P
>
0.05

). The score of VAS for the observation group was lesser than that of the control group at 10 min and 30 min after operation (

P
<
0.05

). There existed no substantial discrepancy in the incidence of negative reactions between both groups (

P
>
0.05

). Conclusion. Propofol intravenous anesthesia combined with press-needle therapy can ameliorate the analgesic impacts during painless abortion, reduce postoperative uterine contraction pain, inhibit the release of postoperative pain mediators, and improve the stress state of the body.
Research on the Development of Hospital Intelligent Finance Based on Artificial Intelligence
Authors: Ma Mengxuan
Published: August 2022

Based on the development background of the interweaving and integration of computer technology and Internet technology, China’s artificial intelligence industry is quietly rising. In the social life of the information age, the artificial intelligence industry represented by machine deep learning is playing a very important role. This study in combination with the background of the new health reform, in view of the reform of the medical industry, analyzes the connotation of financial wisdom based on the important role of the hospital financial development problems, puts forward the development direction of artificial intelligence hospital financial wisdom development measures, designed to meet the changing external environment demand, reduces human costs, and improves the overall efficiency of hospital financial fund management. Based on the evaluation results, this paper proposes the correct direction for the development of hospital intelligence finance by using the BP neural network model. After the analysis, it is found that the development of artificial intelligence is an important measure to promote the development of hospital intelligent finance. In other words, hospital intelligent financial management is the product of the continuous progress of artificial intelligence technology. At the present stage, the intelligent financial management problems of hospitals are mainly as follows: (1) lack of financial informatization, (2) lack of perfect financial risk early warning system, and (3) the phenomenon of “information island” in the financial system. After analyzing the above problems, the research believes that the development of hospital intelligent finance based on artificial intelligence needs to solve the above thorny problems, so as to improve the outcome of hospital intelligent finance development. The following work should be done: (1) strengthen the design of information sharing module, (2) intelligent control of the cost of hospitals, and (3) intelligent treatment of hospital accounting. Combining the development of artificial intelligence and hospital intelligent finance theory, combined with the actual trend of financial intelligence development under the background of artificial intelligence development in the new era, it provides scientific basis for the development of hospital intelligent finance.
Application of the Full-Width-at-Half-Maximum Image Segmentation Method to Analyse Retinal Vascular Changes in Patients with Diabetic Retinopathy
Authors: Xu Bo Lun , Li Yi Jie , Zhou Wen Li , Zhan Hai Jing , Lu Jie Yi , Tong Yu Hua
Published: August 2022

This study used spectral domain optical coherence tomography (SD-OCT) and full-width-at-half-maximum image segmentation to investigate the morphological changes of retinal blood vessels in patients with diabetic retinopathy (DR). Seventy-five patients with type 2 diabetes mellitus (T2DM) without DR and 65 patients with DR were studied. Vascular images of superior temporal region B of the retina were obtained by SD-OCT. The edges of retinal vessels were identified by the full-width-at-half-maximum image segmentation method. The lumen diameter, wall thickness (WT), wall cross-sectional area (WCSA), and wall-to-lumen ratio (WLR) were investigated. We found that, compared with the no diabetic retinopathy (NDR) group, patients in the DR group had an increased retinal arteriolar lumen diameter (RALD), retinal arteriolar outer diameter (RAOD), and WT (128.80 μm versus 104.88 μm; 147.01 μm versus 135.60 μm; 18.29 μm versus 15.26 μm,

P
<
0.05

, respectively). The retinal venular lumen diameter (RVLD), retinal venular outer diameter (RVOD), and venular WT in the DR group were also increased (146.17 μm versus 133.66 μm; 180.20 μm versus 156.43 μm; 17.01 μm versus 11.38 μm,

P
<
0.05

, respectively). The morphological changes in retinal vessels were significantly correlated with DR stage. In conclusion, in diabetic patients with DR, both retinal arteries and veins are widened and exhibit increased vascular thickness.
Effect of Free Formaldehyde on Chemical Structure and Thermal Properties of Nano-Titanium Dioxide Resin
Authors: Lv Li , Wang Airong , Zhong Yingying
Published: August 2022

In order to understand and improve the degradation rate of formaldehyde, the study on the chemical structure and thermal properties of nano-titanium dioxide resin by free formaldehyde was proposed. In this research, nano-titanium dioxide was prepared by the low temperature hydrolysis method and characterized by using the scanning electron microscope (SEM) and X-ray diffraction (XRD). The degradation behavior of formaldehyde was studied by using the degradation rate of formaldehyde in the container as the evaluation index. The influence of the photocatalytic coating on the degradation rate of formaldehyde under different loading conditions, different temperatures, and different humidity was investigated. The experimental results show that the formaldehyde degradation rate of the photocatalytic coating prepared by loading 5 g nano-TiO2 into a 200 g emulsion system can reach 93% under the conditions of room temperature of 25°C, humidity of 50%, and UV lamp irradiation of 120 min. Conclusion. This study is obviously better than the commercial P25 nano-titanium dioxide degradation effect of formaldehyde.
Efficacy and Clinical Value of Negative-Pressure Wound Therapy with Instillation (NPWTi) of Compound Phellodendron Liquid in the Treatment of Diabetic Foot Ulcer: A Prospective Cohort Study
Authors: Zhao Yang , Dai Xiaohong , Sun Yan , Liao Weixiang , Peng Yan , Yang Jiuyi
Published: August 2022

Objective. To evaluate the efficacy and application value of compound Phellodendron liquid (CPL) for negative-pressure wound therapy with instillation (NPWTi) in the treatment of diabetic foot ulcers by observing the improvement of diabetic foot ulcers. Methods. Sixty patients with diabetic foot ulcers who met the inclusion criteria were admitted to the Department of Peripheral Blood Vessels (Wound Repair) of Chongqing Hospital of Traditional Chinese Medicine from August 2020 to August 2021. The random number table method divided it into the CPL NPWTi group and normal saline NPWTi group, with 30 cases in each group. The experimental group adopted FufangHuangbaiye for NPWTi, and the control group used normal saline for NPWTi. The treatment effect was evaluated by baseline index, wound healing observation index, inflammatory factor index, pain scores during dressing change, and the number of days in hospital. Results. After 10 days of treatment, the symptom integration, procalcitonin (PCT), and C reactive protein (CRP) of the CPL NPWTi group were significantly reduced compared with the normal saline NPWTi group, while there was no obvious difference between wound area and erythrocyte sedimentation rate (ESR). The wound area, symptom integral, PCT, ESR, and CRP of the CPL NPWTi group were significantly reduced compared with the normal saline NPWTi group after treatment for 20 days and 30 days. The positive proportion of bacterial culture in the CPL NPWTi group was significantly reduced compared with the normal saline NPWTi group after treatment for 10 days, 20 days, and 30 days. After treatment, the pain scores during dressing change and the number of days in hospital in normal saline NPWTi group were significantly lower than those in the CPL NPWTi group. Conclusion. Compound Phellodendron liquid NPWTi therapy can improve diabetic foot ulcers, providing a safe and effective method for treating diabetic foot ulcers.