bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessment of Clinical Reasoning and Diagnostic Thinking among Dental Students
Authors: Owlia Fatemeh , Keshmiri Fatemeh , Kazemipoor Maryam , Rashidi Maybodi Fahimeh
Published: September 2022

Introduction. This study aimed to investigate dental students’ clinical reasoning and diagnostic thinking ability by key feature test and “diagnostic thinking inventory” questionnaire. Methods. The present study was a descriptive cross-sectional study. The participants consisted of 61 senior dental students. Clinical reasoning and diagnostic thinking were assessed by key feature tests and the “diagnostic thinking inventory” “DTI” questionnaire, respectively. The “diagnostic thinking inventory” was developed by Bordage et al. in France and consisted of 41 questions on a 6-point Likert scale. The satisfaction of students was assessed through a 10-item questionnaire. Data were analyzed using SPSS 19 with descriptive tests (mean, SD, and percentage), student independent T-test, and Pearson correlation. The significance level was determined atp<0.05. Results. The mean scores of the key feature test were 56.55 ± 7.80. Diagnostic thinking scores of learners were reported in diagnostic thinking 136.47 ± 16.45, flexibility in thinking 72.22 ± 11.15, and structure of memory 64.24 ± 7.84. The difference in students’ scores in flexibility in thinking was significantly higher among male students than female students. (p-value = 0.04). The students’ satisfaction scores were 3.53 ± 0.52, which showed relative satisfaction. Conclusion. The participants’ clinical reasoning and diagnostic thinking skills were reported at a low level. This issue emphasizes the need for training to enhance diagnostic thinking and clinical reasoning in dental education. Formative evaluation and reform of the educational programs of this course should be considered.
Internet of Vehicles Information Processing Method with Vehicle-Mounted Cloud Grid as the Underlying Data Fusion Structure
Authors: Han Yibo , Li Xia , Li Xiaocui , Zhou Zhangbing , Li Jingshuo
Published: September 2022

With the development of electronic information network technology, large car networking systems can produce all kinds of data such as text, images, and videos, a large number of heterogeneous data, different features of heterogeneous data, and different data structures. In the Internet of vehicles, the beacon message generation strategy needs to be researched and designed on the premise of meeting the requirements of vehicle location accuracy and wireless communication performance. According to the Kalman filter differential prediction equation, the message generation model of Kalman filter beacon is established. In the deep learning research on the underlying data fusion algorithm, the most effective way to solve the problem of insufficient integration degree between the underlying data is to improve the data quality and ensure data sharing and reuse between multisource heterogeneous data. Therefore, the D-S evidence theory fusion model and rough set underlying model are proposed in the vehicle-mounted cloud network. Among them, the D-S evidence theory fusion model ensures the improvement of underlying data quality, forms effective rule combination, and reduces conflicts between rules through filtering evidence theory. The rough set underlying data fusion model optimizes the underlying data of each device by improving the rough set attribute reduction method of particle swarm optimization algorithm.
Promising Neutrophil-Associated Biomarkers in Lung Diseases of Patients with Antisynthetase Syndrome and Dermatomyositis
Authors: Liu Lei , Wang Jundi , Zhang Peiyu , Sun Wenjia , Zhu Xiuliang , Sun Xiujuan , Xue Jing , Wu Huaxiang
Published: September 2022

Objectives. Antisynthetase syndrome (ASS) and dermatomyositis (DM) are serious autoimmune diseases, with lungs being the most frequently involved organ and sometimes fatal. This study is aimed at clarifying the role of neutrophil-associated biological markers in suggesting ASS and DM-associated respiratory infections and interstitial lung diseases. Methods. We carried out a retrospective review of the medical records of 46 cases of ASS and DM diagnosed at the Second Hospital of Zhejiang University College of Medicine, between January 2017 and December 2020. Serum myeloperoxidase (MPO), neutrophil elastase (NE), α1 anti-trypsin (AAT), and interleukin-6 (IL-6) were also detected. Results. Gottron’s sign is characteristic of dermatomyositis, while polyarthritis is more characteristic of ASS. Pulmonary function is worse in ASS than in DM patients. Patients with ASS and DM had abnormal lymphocyte and neutrophil counts compared to healthy subjects, but not in relation to lung function and rapid progression of interstitial lung disease (RP-ILD). Elevated serum NE, MPO, and IL-6 levels are suggestive of respiratory infections, whereas decreased circulating IL-6 is predictive of RP-ILD. Conclusion. Our study identified the neutrophil-associated biomarkers MPO, NE, and IL-6 as promising indicators with different suggestive roles in respiratory infections and interstitial lung diseases in patients with ASS and DM.
Assessment of the Phase-to-Ground Fault Apparent Admittance Method with Phase/Ground Boundaries to Detect Types of Electrical Faults for Protective Relays Using Signature Library and Simulated Events
Authors: Piesciorovsky Emilio C. , Morales Rodriguez Marissa E.
Published: September 2022

Protective relays in electric power grids recognize the types of electrical faults in a few seconds. The most common detection method to detect the types of electrical faults is based on measuring the angle between the zero and negative sequence currents. However, it is not completely accurate because the phase-to-phase-ground and phase-to-ground electrical faults could have the same detection conditions. Therefore, engineers need to plot the events after an electrical fault to observe the nature of the incidents in detail. In this study, the phase-to-ground fault apparent (PGFA) admittance method with phase/ground boundaries identified the types of electrical faults located in distribution power lines and feeders. This method was based on measuring the PGFA admittance magnitudes for the faulted and nonfaulted phases, resulting in greater than zero and near zero, respectively. The PGFA admittance algorithm was built with MATLAB/Simulink software and tested with signature library and grid simulation events. The PGFA method with phase/ground boundaries was evaluated with the confusion matrix. The measured and predicted values matched in more than 90% of the tests, and the PGFA admittance method with phase/ground boundaries presented an accuracy of 94.3% and a precision of 100%.
The Variation of Transcriptomic Perturbations is Associated with the Development and Progression of Various Diseases
Authors: Dong Zehua , Yan Qiyu , Wang Xiaosheng
Published: September 2022

Background. Although transcriptomic data have been widely applied to explore various diseases, few studies have investigated the association between transcriptomic perturbations and disease development in a wide variety of diseases. Methods. Based on a previously developed algorithm for quantifying intratumor heterogeneity at the transcriptomic level, we defined the variation of transcriptomic perturbations (VTP) of a disease relative to the health status. Based on publicly available transcriptome datasets, we compared VTP values between the disease and health status and analyzed correlations between VTP values and disease progression or severity in various diseases, including neurological disorders, infectious diseases, cardiovascular diseases, respiratory diseases, liver diseases, kidney diseases, digestive diseases, and endocrine diseases. We also identified the genes and pathways whose expression perturbations correlated positively with VTP across diverse diseases. Results. VTP values were upregulated in various diseases relative to their normal controls. VTP values were significantly greater in define than in possible or probable Alzheimer’s disease. VTP values were significantly larger in intensive care unit (ICU) COVID-19 patients than in non-ICU patients, and in COVID-19 patients requiring mechanical ventilatory support (MVS) than in those not requiring MVS. VTP correlated positively with viral loads in acquired immune deficiency syndrome (AIDS) patients. Moreover, the AIDS patients treated with abacavir or zidovudine had lower VTP values than those without such therapies. In pulmonary tuberculosis (TB) patients, VTP values followed the pattern: active TB > latent TB > normal controls. VTP values were greater in clinically apparent than in presymptomatic malaria. VTP correlated negatively with the cardiac index of left ventricular ejection fraction (LVEF). In chronic obstructive pulmonary disease (COPD), VTP showed a negative correlation with forced expiratory volume in the first second (FEV1). VTP values increased with H. pylori infection and were upregulated in atrophic gastritis caused by H. pylori infection. The genes and pathways whose expression perturbations correlated positively with VTP scores across diseases were mainly involved in the regulation of immune, metabolic, and cellular activities. Conclusions. VTP is upregulated in the disease versus health status, and its upregulation is associated with disease progression and severity in various diseases. Thus, VTP has potential clinical implications for disease diagnosis and prognosis.
Container Freight Rates and International Trade Causality Nexus: Evidence from Panel VAR Approach for Shanghai and ASEAN‐6 Countries
Authors: Ding Xingong , Wang Mengzhen
Published: September 2022

Container shipping drives the development of international trade, yet previous studies have not fully appreciated the possible bidirectional causal relationship between container freight rates and international trade. In the context of the “twenty‐first Century Maritime Silk Road,” we use data on export container freight rates and import/export data from Shanghai to ASEAN‐6 countries (Singapore, Vietnam, Thailand, Philippines, Malaysia, and Indonesia) from February 2017 to January 2020 and apply a panel VAR to explore the relationship between maritime transport costs and international trade in the container shipping market. We use the freight rate data are from the Southeast Asia Freight Index, which is used for the first time in an empirical study. The quality and reliability of the freight rate data allow this paper to better identify causal relationships. The results of the panel Granger causality test and the orthogonal impulse response function suggest a bidirectional causal relationship between freight rates and export trade; to further explain, an increase in export trade lowers export freight rates, but an increase in export freight rates hinders export trade, and a growth in import trade unidirectionally raises export freight rates. We believe that international trade may impact freight rates through economies of scale and trade imbalances.
Relationship among Insulin Therapy, Insulin Resistance, and Severe Coronary Artery Disease in Type 2 Diabetes Mellitus
Authors: Song Jing , Xia Xinyi , Lu Ye , Wan Jing , Chen Haibing , Yin Jun
Published: September 2022

Objectives.The effect of insulin therapy on coronary artery disease (CAD) remains controversial. This study aimed to analyze the association between insulin resistance and the morbidity of severe CAD in type 2 diabetes mellitus (T2DM). Methods. A total of 2044 T2DM patients aged ≥40 years were included in this cross-sectional observational study. Clinical information and laboratory results were collected from the medical records. Those who underwent percutaneous coronary intervention (PCI) were classified as severe CAD, while those who did not have a history of and were not suffering from CAD were classified as patients without CAD. Results. T2DM patients with severe CAD and without CAD had no significant differences in glycosylated hemoglobin A1c (8.55% ± 2.10% vs. 8.39% ± 1.77%,

P
=
0.234

). The proportion of insulin treatment was also similar between the two groups (56.85% vs. 53.65%, odds ratio = 1.138,

P
=
0.310

). In the patients without insulin treatment, the levels of fasting C peptide (FCP) correlated with severe CAD prevalence. FCP was categorized into 3 tertiles (<1.5 ng/mL, 1.5 ng/mL- 3 ng/mL, and ≥3 ng/mL), and the prevalence rates of severe CAD were 7.88%, 14.31%, and 18.28%, respectively (

P
<
0.05

). In the patients with insulin treatment, the body mass index (BMI) was the significant risk factor of severe CAD. The prevalence of severe CAD according to BMI tertiles (<24 kg/m2, 24 kg/m2–28 kg/m2, and ≥28 kg/m2) was 11.22%, 14.61%, and 24.62%, respectively (

P
<
0.01

). Conclusions. Our results showed that insulin resistance, rather than insulin therapy, increases the risk of severe CAD in T2DM patients with inadequate glycemic control. Non-insulin treated patients with high FCP and insulin-treated patients with high BMI are at higher risk of severe CAD.
Evaluation Analysis and Key Index System Construction of Urban Public Management Service Quality Based on Grey Judgment Method
Authors: Chen Zimeng
Published: September 2022

The development of today’s society has entered an era dominated by technology and efficiency, leading enterprises and governments to overemphasize the role of efficiency in the process of rapid development, while ignoring the fundamental goal of social development. The degree of urbanization has increased significantly, but the problems existing in the city are becoming more and more serious, especially the neglect of public services, which has caused great dissatisfaction. This paper firstly compares and synthesizes the performance of several methods to obtain that the grey judgment method is more suitable for this paper; that is, the grey judgment method is used to analyze the evaluation of urban public management service quality and to construct the key index system. The two-level indicators are all in line with the standard after screening the indicators by the method; the first-level indicators have the largest weight in the assess of the quality of urban common management services, and equipment management is considered to be the most important, followed by cultural construction, emergency management, greening management, and sanitation management; among the secondary indicators, the public health portfolio has the largest weight value, with a combined weight of 0.0989, followed by timely maintenance, quality of green vegetation, accident treatment, water and sewage treatment, natural disaster treatment, maintenance quality, garbage disposal, daily maintenance, the quality of cultural facilities, the daily maintenance of greening, and the quality of cultural activities; experts scored the indicators to get the highest score for equipment management, with a score of 0.7799, followed by emergency management, sanitation management, greening management, and cultural construction. By examining the quality of urban public services, it can more respond to the needs of national for public serving, and it can more effectively facilitate the future growth of the town and improve the overall level of community services.
The Value of CT Perfusion Parameters and Apparent Diffusion Coefficient Value of Magnetic Resonance Diffusion Weighted Imaging in Diagnosis of Hepatocellular Carcinoma
Authors: Li Kezhen , Wang Baiping
Published: September 2022

Background. Hepatocellular carcinoma is one of the malignant tumors with the highest incidence in the world. According to the latest statistics of the National Cancer Center, the incidence of liver cancer ranks fifth in malignant tumors and its mortality rate ranks second in China, which seriously threatens people’ s life and health. Aim. To investigate the value of CT perfusion parameters and apparent diffusion coefficient (ADC) of magnetic resonance imaging (MRI) diffusion weighted imaging (DWI) in the diagnosis of hepatocellular carcinoma. Methods. 43 patients with hepatocellular carcinoma and 40 patients with hepatic hemangioma treated in our hospital from August 2018 to August 2021 were selected for CT perfusion imaging and MRI examination. Results. The liver blood flow (BF), liver blood volume (BV), and hepatic artery perfusion (HAP) in the hepatocellular carcinoma group were (267.38 ± 35.59) ml/(min·100 g), (30.20 ± 8.82) ml/100 g, and (0.64 ± 0.10) ml/(min·ml), respectively, which were significantly higher than those in the hepatic hemangioma group (

p
<
0.05

). The ADC value of hepatocellular carcinoma DWI sequence was (1.20 ± 0.17) ×10-3 mm2, which was significantly lower than that of hepatic hemangioma (

p
<
0.05

). The area under ROC curve of BF, BV, HAP, and ADC values for hepatocellular carcinoma was 0.860, 0.754, 0.804, and 0.890, respectively. The area under ROC curve of the four groups was compared (

p
>
0.05

). Conclusion. CT perfusion parameters BF, BV, HAP, and DWI sequence ADC values have certain application value in the diagnosis of hepatocellular carcinoma, and there is no significant difference between the diagnostic value of each parameter.
A Mental Health Management and Cognitive Behavior Analysis Model of College Students Using Multi-View Clustering Analysis Algorithm
Authors: Dong Danhui , Shen Xiaoying
Published: September 2022

In this new era that is full of social changes, ongoing economic transformation, an abundance of information resources, and a fast pace of life, the pressure that people feel to compete with one another is also increasing day by day. Because of the vast differences in people’s states of consciousness and worldviews, interpersonal relationships have become increasingly difficult to navigate. Students in higher education institutions will eventually emerge as the dominant demographic in society. Their mental health has a significant bearing on all aspects of life, including learning and future growth. An objective condition that must be met in order to guarantee that the next generation of talent will have a high level of overall quality is the improvement of the mental health of college students (CSMH) in the new era. One component of public health is the emotional well-being of students in higher education. The state of the public’s health is consistently ranked among the most urgent problems facing modern society. However, there is not much hope for the Chinese CSMH. In order to effectively manage their mental health, a variety of educational institutions, including colleges and universities, have proposed a large number of management strategies for CSMH. The vast majority of these strategies are not targeted, and they do not offer a variety of management strategies that are based on the many different psychological states. It is necessary to first be able to accurately predict the mental health status of each individual college student in order to achieve the goal of improving the mental health management of students attending colleges and universities. This study proposes using a multi-view K-means algorithm, abbreviated as MvK-means, to analyze the CSMH’s data on mental health. This is possible because the data can be obtained from multiple perspectives. This paper presents a multi-view strategy as well as a weight strategy in light of the fact that each point of view contributes in its own unique way. Different weight values should be assigned to each view’s data, which will ultimately result in an improved evaluation effect of the model. The findings of the experiments indicate that the model that was proposed has a beneficial impact on the analysis of the data pertaining to the mental health of college students.
Developing High‐Resolution Population and Settlement Data for Impactful Malaria Interventions in Zambia
Authors: Borkovska Olena , Pollard Derek , Hamainza Busiku , Kooma Emmanuel , Renn Silvia , Schmidt Jolynn , Engin Hasim , Heaton Matthew , Miller John M , Psychas Paul , Riley Christina , Martin Annie , Nyirenda James , Bwalya Frazer , Winters Anna , Sobel Corey
Published: September 2022

Foundational high‐resolution geospatial data products for population, settlements, infrastructure, and boundaries may greatly enhance the efficient planning of resource allocation during health sector interventions. To ensure the relevance and sustainability of such products, government partners must be involved from the beginning in their creation, improvement, and/or management, so they can be successfully applied to public health campaigns, such as malaria control and prevention. As an example, Zambia had an ambitious strategy of reaching the entire population with malaria vector control campaigns by late 2020 or early 2021, but they lacked the requisite accurate and up‐to‐date data on infrastructure and population distribution. To address this gap, the Geo‐Referenced Infrastructure and Demographic Data for Development (GRID3) program, Akros, and other partners developed maps and planning templates to aid Zambia’s National Malaria Elimination Program (NMEP) in operationalizing its strategy.
Assessment of Pattern of Abdominal Injury over a Two-Year Period at St Paul’s Hospital Millenium Medical College and AaBET Hospital, Addis Ababa, Ethiopia: A Retrospective Study
Authors: Demeke Altaye Kassaye , Zewdie Tadesse Ayalew , Bekele Muleta Mahteme , Wagenew Dode Woldesenbet
Published: September 2022

Background. Globally, injury continues to be an important cause of morbidity and mortality both in developed and developing countries. Abdominal injuries are among the major causes of trauma admissions. This study aimed to assess patterns of abdominal injury at AaBET and St. Paul’s Hospital Millennium Medical College. Methods. A cross-sectional study was done on all adult patients who sustained abdominal injuries presented to the emergency department and managed at AaBET and St. Paul’s Hospital Millennium Medical College over a two-year period from January 2018 to December 2019. Results. A total of 165 abdominal injured patients presented during the study period. Among those patients, 140 (84.8%) were male, with a male-to-female ratio of 5.61. The mean age of patients was 29.3 years. 85 (51.5%) of the patients sustained penetrating injuries. 53 (32.1%) patients sustained road traffic accidents, 47 (32.1%) had stab injuries, and 34 (20.6%) had gunshots. Thirty-four (20.6%) of the patients were managed conservatively and 79.4% (n = 131) were managed surgically. The commonest complications found were shock (n = 20 (12.1%)), peritonitis (n = 18(10.9%)), HAP (n = 9 (5.5%)), and surgical site infection (n = 4 (2.4%)).The mortality rate was 3.6% (n = 6), of which 4 (67%) had the penetrating mechanism of injury. Conclusion. Abdominal trauma predominantly affects the male and economically productive age. The three main causes of abdominal injuries in this study were road traffic accidents, stab injuries, and gunshots, which require increased public awareness of the need to prevent road traffic accidents and to handle weapons and sharp items properly.
Banana Pseudostem Width Detection Based on Kinect V2 Depth Sensor
Authors: Wang Jinzhi , Li Xiuhua , Zhou Yonghua , Wang Huaihai , Li Minzan
Published: September 2022

This study used Kinect V2 sensor to collect the three-dimensional point cloud data of banana pseudostem and developed an automatic measurement method of banana pseudostem width. The banana plant was selected as the research object in a banana plantation in Fusui, Guangxi. The mobile measurement of banana pseudostem was carried out at a distance of 1 m from the banana plant using the field operation platform with Kinect V2 as the collection equipment. To eliminate the background data and improve the processing speed, a cascade classifier was used to recognize banana pseudostems from the depth image, extract the region of interest (ROI), and transform the ROI into a color point cloud combined with the color image; secondly, the point cloud was sparse by down-sampling; then, the point cloud noise was removed according to the classification of large-scale and small-scale noise; finally, the stem point cloud was segmented along the y-axis, and the difference between the maximum and minimum values in the x-axis direction of each segment was calculated as its horizontal width. The center point of each segment point cloud was used to fit the slope of the stem centerline, and the average horizontal width was corrected to the stem diameter. The test results show that the average measurement error is only 2.7 mm, the average relative error was 1.34%, and the measurement time is only about 300 ms. It could provide an effective solution for the automatic and rapid measurement of stem width of banana plants and other similar plants.
How Energy Sector Reacted to COVID‐19 Pandemic? Empirical Evidence from an Emerging Market Economy
Authors: Armeanu Daniel Ştefan , Joldeș Camelia Cătălina , Gherghina Ştefan Cristian
Published: September 2022

The European Union is facing the highest natural gas prices in 15 years, owing largely to an upward trend in electricity prices, which is also on an uphill curve. However, the rise in electricity and natural gas prices is a widespread phenomenon that is being felt not only in Europe but also globally, as economic activity resumes and energy consumption returns to prepandemic levels. Consequently, this paper investigates how COVID‐19 influenced the Romanian energy market. To accomplish our goal, we used daily data for variables and market indices that characterize COVID‐19 and the energy market from July 1 to December 21, 2021. The results of the GARCH (1, 1) model estimation show that the major performer in Romania’s energy allocation and supply market had the highest conditional variance. In addition, the ARDL model was chosen because of the variable integration mix (order 0 and 1), as well as the VAR and the Granger causality framework. The empirical results of ARDL models provide the first conclusion of the analysis, indicating that the number of short‐term connections was greater than long‐term connections, which is also explained by the presence of short episodes of high volatility recorded in the investigated time interval. Another conclusion drawn from this study is that COVID‐19 cases registered in Europe and around the world have made a significant contribution to explaining the evolution of the energy market, owing to the large number of cases registered in these regions and the level of contagion transmitted from these markets to the energy market. Furthermore, based on the Granger causality test results, only one‐way causal relationships were identified from the variables that capture the evolution of the COVID‐9 pandemic to the yields of Romanian energy companies. The novelty of this article is the examination of the impact of COVID‐19 on the energy market throughout the fourth wave of coronavirus using the GARCH framework, the ARDL model, which allows for the capture of both short‐ and long‐term reactions, the variance decomposition, and the Granger causality test. Because of the ongoing changes in the pandemic’s evolution, additional research on this topic is undoubtedly on the horizon in the near future.
[Retracted] Traditional Chinese Medicine Treatment and Sports Rehabilitation of Sports Dance Athlete’s Waist Injury
Authors: Wu Xiaoli , Jia Baotong , Yang Wenqian
Published: September 2022

The issue of sports injury and rehabilitation has been a hot topic in competitive sports. With the continuous development of sports dance sports requirements and competition system, the competition is becoming increasingly fierce and the special technical requirements are more stringent; it can easily cause eye damage. Traditional Chinese medicine clinics often use Chinese medicine internal treatment, external Chinese medicine, acupuncture, massage, cupping, scraping, exercise, and other treatment methods to treat waist injuries, which have the characteristics of significant curative effect, small side effects, and being not easy to relapse. It plays an important role in the recovery and treatment of athletes, allowing athletes to better repair, reduce physical discomfort, and achieve better results. The increase in training difficulty and intensity leads to more frequent sports injuries, so the recovery of athletes after injury is particularly important. Based on the above background, the purpose of this article was to study the traditional Chinese and Western medical treatment and sports rehabilitation for waist injuries of sports dance athletes. This article analyzes the technical problems existing in the training process of sports dance athletes from the perspective of sports training, and analyzes the nature of sports dance athletes’ waist injuries and the causes of injuries. In this article, 45 sports dance athletes were randomly divided into three groups: traditional Chinese medicine and Western medicine, traditional Chinese medicine, and Western medicine. Patients treated with the optimized combination of traditional Chinese and Western medicine were regarded as the traditional Chinese and Western medicine group. The clinical symptoms, limb circumference, waist function rehabilitation, and overall efficacy of the three groups were observed. At the same time, changes in physical examination indicators before and after treatment were observed to evaluate the safety of the treatment. The experimental results showed that the total effective rate of the Chinese and Western medicine group was 95%, the total effective rate of the Chinese medicine group was 84%, and the total effective rate of the Western medicine group was 90%. The symptoms and waist injuries of the three groups were improved to varying degrees. The results of this experiment provide a reference for protecting the physical health and scientific training of athletes, and also provide training ideas and methods for coaches and scientific and medical personnel.
Construction and Development Strategy of an Application System of Intelligent Sports in China’s Sports Industry
Authors: Tang Yuxin , Zan Shengfeng , Zhang Xiaowen , Zhu Wenyan
Published: September 2022

Methods of literature review and model construction were used to study the construction and development strategy of an intelligent sports application system in the sports industry. After the literature review of the sports industry and the application of artificial intelligence in this industry, we analyzed the significance of the intelligent sports application system for the development of the Chinese sports industry from the perspective of elements, data, and policies in the sports industry. The research followed four principles of system construction, which are scientificity, practicalness, efficiency, and coordination. First, we built a framework for the intelligent sports application system and designed its function from governmental, industrial, political, and individual perspectives. Second, the content of the application system was analyzed in detailed in five layers including technology, industry, application, challenge, and security. Finally, we structured the operation model according to four units: the database, intermediary platform, social subjects, and industrial subjects. This study put forward the following policy implication: it is required to (1) improve the top-level design of intelligent sports, (2) optimize the intelligent sports market environment, (3) innovate and upgrade the intelligent sports industry, and (4) build an intelligent sports talent system.
TCM Physical Health Management Training and Nursing Effect Evaluation Based on Digital Twin
Authors: Jiang Jing , Li Qijia , Yang Fei
Published: September 2022

Traditional Chinese medicine (TCM) has been shown to be effective in the treatment of diseases such as malaria, being better understood and accepted by the world. TCM physical health management is based on the policy of “preventive disease,” comprehensively collects patients’ information, and provides timely and appropriate rehabilitation guidance to achieve the best nursing effect. However, the current TCM physical health management has not been understood by the public, and the effect of its nursing evaluation has not been concluded yet. Therefore, this paper aims to design a TCM physical health management training and learning system based on digital twin technology and to evaluate and analyze the nursing effect. For TCM physical health management training, this paper designed a training system based on the VIKOR algorithm. Based on digital twin technology, the training can be carried out at different times and places, and the teaching content can also be displayed in real time through the cloud platform, which intuitively and comprehensively reflects the teaching content. For the evaluation of nursing effect, this paper selected 100 patients and divided them into two groups to compare the nursing effect of TCM physical health management and general Western medicine nursing. The experimental results of this paper found that the nursing effect of TCM physical health management is 20%–60% better than that of Western medicine nursing in terms of blood pressure, TCM syndromes, exercise tolerance, and quality of life.
New Paths for the Development of National Sports Intangible Cultural Heritage Based on Computer Nonlinear 3D Model Modeling Technology from the Perspective of Scene Theory
Authors: Yuan Fusong
Published: September 2022

Purpose. The AI era has brought rapid progress and many changes in life, which challenge the survival of cultural heritage. One of the topics that has attracted much attention at the moment is how to better inherit and develop the intangible cultural heritage of national sports. In order to improve the development level of national sports intangible cultural heritage, this article explores a new path for its development. Methodology. Through the analysis and research of scene theory and computer nonlinear three-dimensional (3D) model modeling technology, it can be applied to the development of national sports intangible cultural heritage. This article analyzes the scene theory, three-dimensional modeling, and intangible cultural heritage of national sports, conducts experimental analysis on its functions, and uses relevant theoretical formulas to explain. Research Findings. The results show that this development path is more effective than the traditional development path. It has a lower error rate than the traditional model, which differs by 0.124. The public satisfaction increased by 56.7% before and after. Research Implications: The new method proposed in this article provides a new path reference for the development of national sports intangible cultural heritage in the future. Practical Implications. This method can meet the needs of the development of intangible cultural heritage of national sports culture, and the satisfaction and development level of the masses have been greatly improved.
Differentiating Primary Tumors for Brain Metastasis with Integrated Radiomics from Multiple Imaging Modalities
Authors: Cao Guoquan , Zhang Ji , Lei Xiyao , Yu Bing , Ai Yao , Zhang Zhenhua , Xie Congying , Jin Xiance
Published: September 2022

Objectives. To differentiate the primary site of brain metastases (BMs) is of high clinical value for the successful management of patients with BM. The purpose of this study is to investigate a combined radiomics model with computer tomography (CT) and magnetic resonance imaging (MRI) images in differentiating BMs originated from lung and breast cancer. Methods. Pretreatment cerebral contrast enhanced CT and T1-weighted MRI images of 78 patients with 179 BMs from primary lung and breast cancer were retrospectively analyzed. Radiomic features were extracted from contoured BM lesions and selected using the Mann–Whitney

U

test and the least absolute shrinkage and selection operator (LASSO) logistic regression. Binary logistic regression (BLR) and support vector machine (SVM) models were built and evaluated based on selected radiomic features from CT alone, MRI alone, and combined images to differentiate BMs originated from lung and breast cancer. Results. A total of 10 and 6 optimal radiomic features were screened out of 1288 CT and 1197 MRI features, respectively. The mean area under the curves (AUCs) of the BLR and SVM models using fivefolds cross-validation were 0.703 vs. 0.751, 0.718 vs. 0.754, and 0.781 vs. 0.803 in the training dataset and 0.708 vs. 0.763, 0.715 vs. 0.717, and 0.771 vs. 0.805 in the testing dataset for models with CT alone, MRI alone, and combined CT and MRI radiomic features, respectively. Conclusions. Radiomics model based on combined CT and MRI features is feasible and accurate in the differentiation of the primary site of BMs from lung and breast cancer.
Multilayered Electroactive Polyaniline-ZnO Modified GCE for Electrochemical Detection of Paracetamol
Authors: Chufamo Samuel , Kelita Bezabih , Berhanu Sintayehu , Kemal Almaz , Lelago Alemu
Published: September 2022

Paracetamol (PC) is widely used for defensive and medicinal purposes for human beings. But their deposition in the human body will persuade thoughtful health risks. So, the enhancement of sensitive and selective techniques for the easy and fast detection of PC is extremely fundamental. Multilayered electroactive polyaniline-ZnO nanocomposite (NC) film was developed for PC detection which was based on the oxidation of PC with polyaniline doped zinc oxide on a glassy carbon electrode (PANI/ZnO/GCE). PANI and PANI/ZnO NCs were fabricated by both electrochemical and in-situ oxidative chemical polymerization methods. The morphology of PANI/ZnO shows that the polymer was distributed on the surface of ZnO, and the XRD pattern confirms that the average size calculated was 7.48 nm for PANI/ZnO. From UV-Vis measurements, the PANI/ZnO composite shows a redshift relative to PANI and ZnO. Moreover, FT-IR spectra show that chemical bonds and stretching are assigned to different peaks. Using differential pulse voltammetry, the fabricated PANI/ZnO/GCE electrochemical sensor displays good analytical performance for PC with detection limits of 4 × 10−8 M and a sensitivity of 2.571 mA/1 × 10−8 M with a linear concentration of PC within the range of 1.0 to 7.0 × 10−8 M.
Application Value of Total Knee Arthroplasty plus Platelet-Rich Plasma Therapy in Traumatic Arthritis of the Knee
Authors: Zhang Canhong , Nie Pengfei
Published: September 2022

Purpose. This work is aimed at determining the application value of platelet-rich plasma (PRP) therapy plus total knee arthroplasty (TKA) in traumatic arthritis (TA) of the knee. Methods. A retrospective study was conducted on 78 cases of TA of the knee admitted between March 2021 and January 2022 to the Quanzhou First Hospital Affiliated to Fujian Medical University. Based on different treatment methods, 38 cases treated with TKA were assigned to the control group, and 40 cases intervened by PRP+TKA were included in the observation group. The operation time (OT), drainage volume (DV), total blood loss (TBL), incision inflammatory reaction rate, and grade A healing rate were recorded. Besides, preoperative and postoperative knee joint Hospital for Special Surgery (HSS) scores, knee joint pain assessed by visual analogue scale (VAS), knee joint range of motion (ROM), and bone metabolism parameters (osteocalcin (OST), total N-terminal propeptide of type I procollagen (tPINP), and β-isomerized C-terminal telopeptides (β-CTX)) were recorded. Results. The observation group showed reduced postoperative DV and TBL than the control group (

P
<
0.05

). The two cohorts differed insignificantly in OT, incision inflammatory response rate, and grade A healing rate (

P
>
0.05

). The observation group also had better improvement in the HSS score, pain VAS score, and knee ROM (

P
<
0.05

). And higher postoperative OST and tPINP levels while lower β-CTX were determined in the observation group (

P
<
0.05

). Conclusions. PRP+TKA can validly improve the levels of bone metabolism markers in patients with TA of the knee and promote their knee functional recovery, with favorable safety.
The Application of Computer Intelligence in the Cyber-Physical Business System Integration in Network Security
Authors: Lin Shi , Yang Ma , Lu Yan , Chen Liquan
Published: September 2022

In order to address the false alarm detection problem caused by the inability to identify the transgression scene pages in the process of horizontal transgression detection, this study proposes a deep learning-based LSTM-AutoEncoder unsupervised prediction model. The model uses long short-term memory network to build AutoEncoder, extracts text features of page response data of horizontal transgression scenario, and reconstructs text features to restore. Meanwhile, it counts the error between the restored result and the original page response, judges whether the detection result of horizontal transgression is false alarm according to the error threshold of unknown page, and tests the effectiveness of the model effect under real business data by comparing it with other two algorithms, one-class SVM and AutoEncoder, which provides security for enterprise network business. The results show that the LSTM-AutoEncoder model achieves a more balanced index in terms of accuracy, precision, recall, and F1-score in the case of MAE, which is 0.3% more and 0.2% more than the case of MSE in terms of recall and accuracy. It is concluded that the LSTM-AutoEncoder model is more in line with the real business requirements, and the simple model architecture selected for this study can reduce the complexity of the model, speed up the prediction time of the model in the application phase, and improve the performance of the detection software. This indicates that this study has some application prospects in network security.
Partner Matching Mechanism of Hainan Cold Chain Logistics Based on Multiobjective Optimization
Authors: Mo Haipeng , Deng Chun , Chen Yuting , Huang Yuchen
Published: September 2022

With the sustained and rapid development of the economy, the food consumption structure has changed correspondingly and the market of cold and fresh products has developed rapidly, which puts forward the matching of cold chain logistics. Under the background of the construction of the belt and road and the pilot-free trade zone, the organic integration of the fresh agricultural products market and industry in Hainan is facing opportunities and challenges. In particular, in-depth research on the design and planning of the entire logistics system has not been carried out and the research on the distribution vehicle routing problem is still in the initial stage. This paper combs the relevant policies of cold chain logistics development in Hainan province. Given the imperfect system, the lack of policy guarantee measures, and the lack of regionality of the policy objective system, this paper puts forward some suggestions for improvement. The effective inventory control model of Hainan fresh agricultural products under cold chain logistics is explored by using the inventory management theory and the related theory of system dynamics. The simulation is carried out by using Vensim software, which provides a reference for improving the status of cold chain logistics of fresh agricultural products in Hainan. By saving funds, the profits of cold and fresh products are increased and the market competitiveness is improved.
Study on Heat Transfer Characteristics and Intelligent Optimization of Protective Clothing Materials in front of the Blast Furnace
Authors: Hu Zhibin , Li Yifan , Duan Yuanshuai , Han Yang , Yang Aimin , Chen Ziyan , Wang Lijing
Published: September 2022

Special protective clothing should have a certain thermal insulation and protective effect in the production in front of the blast furnace. In order to study the design of special protective clothing for blast furnace foreman, its temperature distribution and internal thickness structure are deeply analyzed. First, based on the existing experimental data, combined with heat transfer and the Fourier law theory, a one-dimensional unsteady heat conduction equation is established. Using the explicit finite difference solution algorithm, the distribution law of the temperature of each fabric layer with time is obtained and the error analysis is performed. The error result is 0.42877%, which shows that the numerical solution is stable and convergent. Then, through the intelligent optimization model of a simulated annealing ant colony (SA-ACO), compared with the single ant colony algorithm (ACO) and a simulated annealing algorithm (SA), it avoids falling into the local optimal solution, reversely solves the optimal thickness of two layers of protective clothing in front of the blast furnace, improves the convergence speed of optimization, and verifies the reliability of the model with a sensitivity test. Finally, this paper actually solves the problem of the protective clothing design and mathematical intelligent model in front of the blast furnace and combines it with numerical simulation software to realize the numerical simulation of temperature distribution and thickness optimization of special protective clothing in front of the blast furnace, so as to provide theoretical guidance for enterprise blast furnace production and development of special protective clothing.
Three Acupuncture Methods for Postoperative Pain in Mixed Hemorrhoids: A Systematic Review and Network Meta-Analysis
Authors: Ye Sunsong , Zhou Jianhua , Guo Xiutian , Jiang Xiaoxue
Published: September 2022

Background. Mixed hemorrhoids are a common anorectal disorder, surgery is the most effective means of eradicating hemorrhoids, and pain is the most common postoperative complication of mixed hemorrhoids. Objective. To compare the clinical efficacy of auricular plaster, acupoint application, and acupoint catgut embedding for treating postoperative pain in mixed hemorrhoids. Method. PubMed, Embase, The Cochrane Library, Web of Science, CNKI, Wanfang, VIP, and CBM databases were searched for randomized controlled trials (RCTs) of three acupuncture-related therapies for postoperative pain in mixed hemorrhoids from the time of database creation to October 2021. After screening the literature, extracting information, and evaluating the risk of bias of included studies, statistical analysis was performed using RevMan 5.3 and Stata 15.0. Result. Forty-seven RCTs with a total of 5121 patients were included. Network meta-analysis (NMA) showed that auricular plaster (

OR
=
5.90

, 95%

CI
=

2.02
,
17.21

) and acupoint catgut embedding therapy (

OR
=
5.55

, 95%

CI
=

1.01
,
30.40

) were more effective than analgesics in the treatment of postoperative pain in mixed hemorrhoids. The cumulative ranking probability (SUCRA) showed that acupoint application (73.6%) had the best overall efficacy and the rest were auricular plaster (68.7%), acupoint catgut embedding therapy (64.6%), auricular plaster combined with acupoint application (63.4%), and pain medication (8.9%) in that order. Secondly, auricular plaster (

OR
=
−
0.93

, 95%

CI
=

−
1.66

,

−

0.20

), acupoint catgut embedding (

OR
=
−
0.8

, 95%

CI
=

−
1.50

,

−

0.10

), and acupoint application (

OR
=
−
1.4

, 95%

CI
=

−
2.50

,

−

0.31

) all led to a significant decrease in pain scores and were all more effective than analgesics. As ranked by SUCRA, the results showed that the efficacy of acupoint application (73.5%) was optimal and the rest were auricular plaster (56.1%), acupoint catgut embedding (50.2%), and pain medication (15.3%) in that order. In terms of pain degree, acupoint application (

OR
=
3.83

, 95%

CI
=

1.25
,
11.74

) was significantly better than pain medication. Conclusion. Acupoint application can improve the overall efficiency, reduce pain scores, and relieve the degree of postoperative pain in mixed hemorrhoids.