bluuebunny/crossref_metadata_2025 huggingface dataset:
Application of Kohonen Neural Network in Sports Cluster
Authors: Mao Youwen
Published: July 2022

People’s physical fitness is directly linked to the national physique of a country. It is an important analysis indicator of the country’s comprehensive national strength and economic level. Moreover, students’ physical and mental health is in a stage of rapid development. Their physical health is not only directly related to their study and life at this stage but it will also have a profound impact on the physical level, health status, and work ability of adults. Starting from the cluster analysis of sports, this article explores the communication effects of sports, communication strategies, and the relationship between sports and the development of users’ healthy habits by defining concepts and types and combining quantitative and qualitative analysis. Study the relationship and then analyze whether sports applications bring people the effect of promoting healthy behavior. This article retrieved documents about the application of Kohonen neural network in sports cluster analysis in domestic literature databases such as Weipu, Wanfang data, and CNKI. A total of 144 documents were retrieved from the database, and the retrieved documents were collected for sports activities. The study of class analysis can avoid human subjective factors and obtain clustering results quickly and objectively, thus providing an ideal clustering method for comprehensive evaluation of sports. The experiment proves the cluster analysis of the impact of sports on people’s physical fitness, the heterogeneity test results are 0% (boys) and 3% (girls), it is believed that there is no statistical heterogeneity in the physical fitness of middle school boys in each study, and

P
<
0.001

, indicating that the influence of sports on people’s physical fitness is significantly different between the experimental group and the control group. This shows that the application of Kohonen neural network clustering analysis method has great practical value for comprehensively evaluating people’s physical functions and physical fitness. It is an objective, reasonable, effective, and rapid quantitative evaluation method.
Silencing of TLR4 Inhibits Atrial Fibrosis and Susceptibility to Atrial Fibrillation via Downregulation of NLRP3-TGF-β in Spontaneously Hypertensive Rats
Authors: Ge Chenliang , Zhao Yaxin , Liang Yuming , He Yan
Published: July 2022

Introduction. This study was aimed at exploring whether silencing of TLR4 could inhibit atrial fibrosis and susceptibility to atrial fibrillation (AF) by regulating NLRP3-TGF-β in hypertensive rats. Methods. Spontaneously hypertensive rats (SHRs) were transfected with either a virus containing TLR4-shRNA to downregulate TLR4 or an empty virus (vehicle) at the age of 14 weeks. Fibrosis of left atrium and susceptibility to AF were detected, and expression of NLRP3-TGF-β in left atrial tissue at 22 weeks of age was measured. Primary cardiac fibroblasts were transfected with TLR4-shRNA or scrambled vehicle and stimulated with angiotensin (Ang) II. Proliferation of cardiac fibroblasts and expression of NLRP3-TGF-β were detected. Results. Silencing of TLR4 reduced left atrial fibrosis and susceptibility to AF in SHRs and downregulated expression of NLRP3, TGF-β, and collagen I. In vitro, TLR4 silencing reduced proliferation of cardiac fibroblasts induced by Ang II as well as expression of NLRP3, TGF-β, and collagen I. Conclusion. Silencing of TLR4 can downregulate NLRP3-TGF-β to reduce atrial fibrosis and susceptibility to AF in SHRs.
[Retracted] Groundwater Suitability Evaluation Using Entropy Weightage Quality Index (EWQI) Model and Human Health Cancer Risk Assessment of Heavy Metal in Eastern India
Authors: Saw Shivam , Singh Prasoon Kumar , Mahato Jaydev Kumar , Patel Rohit , Dhopte Deepak Naresh , Asenso Evans
Published: July 2022

This study evaluated the groundwater using the Entropy Weightage Quality Index model (EWQI). Eighteen samples were taken from the different wellbores during premonsoon seasons in 2021. The present study is aimed at developing a comprehensive approach for groundwater quality assessment and associated health risk along with the cancer risk due to the presence of heavy metals. The water quality of Ranchi city was found to be better except in the western zone. Principal component analysis (PCA) revealed that arsenic (As) was the most influencing element that deteriorated the potability of water which supports our study. The study looked at cancer and noncancer health hazards connected with heavy metal music. The value of hazardous quotient (HQ) was observed to be relatively higher in As (HQ > 1) and Ni, followed by Mn > Fe > Zn > Cu. Also, the children were at higher risk than adults. The cancer risk associated with arsenic was investigated and found that the northern part and southeast‐west (lapung block) of the study are at higher risk. Prolonged ingestion of As causes diseases like arsenicosis that leads to enhanced chances of cancer risk. This research provides an immense research database to assess the potability of drinking water in a similar city like Ranchi.
Three-Dimensional Modeling Design and Color Correction Algorithm of Packaging Structure Based on Human Visual Characteristics
Authors: Liu Jinping
Published: July 2022

Product packaging design is a work that integrates graphic design and three-dimensional design. 3D visualization technology and digital virtual interaction technology in virtual reality are developing rapidly in packaging design applications. On the one hand, this study discusses the application of digital technology in the three-dimensional design of packaging structure, including packaging carton structure design, packaging container modeling design, and packaging two-dimensional visual design. On the other hand, this study studies the color correction algorithm of packaging design and proposes a color correction based on the visual characteristics of human eyes. The pattern search algorithm finds a local optimum, and the initial value affects the correction result. Therefore, inspired by the color perception properties of the human visual system, the image is corrected by combining visual multichannel and visual nonlinearity. The experimental results of the algorithm are more consistent with human visual perception.
Hydroxychloroquine and Fabry Disease: Three Case Reports Examining an Unexpected Pathologic Link and a Review of the Literature
Authors: Sen Rouhin , Borghoff Kathleen , Foster Kirk W. , Radio Stanley J. , Erickson Alan , Hearth-Holmes Michelene
Published: July 2022

Background. Hydroxychloroquine is an effective and widely used treatment in multiple autoimmune connective tissue diseases that gained a lot of publicity in the coronavirus disease 2019 (COVID-19) pandemic. Our case reports are unique in that they explore the rare and sometimes overlooked effects of this drug on multiple organ systems, specifically the kidney, cardiac muscle, and skeletal muscle. We include key histologic features in images which aid in identifying and distinguishing hydroxychloroquine toxicity from mimickers. Lastly, we report the very interesting similarity in the intracellular action of hydroxychloroquine to the pathology of Fabry disease (and its associated lysosomal enzyme, α-galactosidase A). Case Presentation. We will examine the case presentations of three female Caucasian patients: a 22-year-old with lupus nephritis class V, a 72-year-old with long-standing systemic lupus erythematosus, and a 74-year-old with undifferentiated connective tissue disease. All three patients were on hydroxychloroquine therapy for varying amounts of time with histologic evidence of hydroxychloroquine toxicity that is three is present in histological samples of the kidney, the heart, and the skeletal muscle. Conclusions. Hydroxychloroquine is a very important and beneficial medication used for various autoimmune connective tissue diseases. Clinicians should be aware of the rare but sometimes serious side effects that can result from the medication, which at times can mimic manifestations of the connective tissue disease itself or Fabry disease. A thorough investigation should be performed in these cases to properly elucidate the cause followed by the appropriate targeted therapy.
Evaluation of Mathematical Models for Teaching Precision in the Framework of Big Data
Authors: Zhang Ming
Published: July 2022

With the continuous development and application of data computing in the whole society in the construction of digital campus and intelligent campus of each higher education institution. In the environment of education, universities use these data well, which not only affects the orderly operation of higher education but also will become an inexhaustible power to help higher education promote the reform and innovation of education and teaching system. In this paper, we focus on the teaching operation and students’ independent learning by taking students’ evaluation data and students’ online learning data of

Y

school as the research objects. We conducted a preliminary analysis and transformation of students’ evaluation data of a university, eliminated the abnormal evaluation data by using the improved cosine phase dissimilarity algorithm, standardized the evaluation data by using the normalization method, and used the traditional

K

-modes algorithm. Based on these three problems, the traditional

K

-modes algorithm was improved in three aspects, including the determination of the number of clustering families, the determination of the measurement of clustering distances, and the experimental results showed that the improved algorithm was more reasonable and effective.
Panax Notoginseng Saponins Regulate Transforming Growth Factor-β1 through MAPK and Snail/TWIST1 Signaling Pathway to Inhibit Epithelial-Mesenchymal Transition of Pulmonary Fibrosis in A549 Cells
Authors: Nguyen VietDung , Pan Fei , Zhang GuangZhong , Zhang Qing , Lu Yang
Published: July 2022

Panaxnotoginseng saponins (PNS) is one of the active components of traditional Chinese medicine Panax notoginseng which has the function of reducing oxygen consumption, expansion of the cerebrovascular system, and is antithrombotic. PNS also plays a role in the treatment of pulmonary fibrosis. In this study, we found that PNS suppresses fibroblast-like changes in A549 cells through epithelial-mesenchymal transition (EMT). PNS promoted E-cadherin (E-cad) in epithelial cells and decreased Fibronectin (FN) and Vimentin (Vim) expression in myofibroblasts in a dose-dependent manner. Further mechanism studies have shown that PNS inhibits the EMT process by regulating p38, JNK, and Erk signaling factors in the MAPK signaling pathway and then blocking Snail and TWIST1 transcription factors from entering the nucleus. This indicates that PNS can regulate epithelial-mesenchymal transition through MAPK and the Snail/TWIST1 signaling pathway, thereby exerting its antipulmonary fibrosis effect.
Research on Development Strategy of Henan Aviation Economy under the Background of Regional Economy
Authors: Yu Guo , Hao Aimin , Liu Chunling
Published: July 2022

There is no doubt that economic globalization creates a golden opportunity for the development of aviation economy in the world; meanwhile, the world economy has entered the aviation century of the 21st century from the navigation century of the 20th century. As a new type of regional economy, the aviation economy is attracting more and more attention from all sectors of society and becoming a significant field for many countries and regions in the world. As the city that has been strategically promoted as the first pilot zone for airport economy development in China (Liang, 2013), Zhengzhou is endowed with remarkable geographic advantage. Coupled with policy advantages from Chinese government, its development is crucial to the development of regional economy in the entire province; therefore, this research paper studied its advantages, disadvantages, opportunities, and threats for developing aviation economy and analyzed its possibility for developing a well-established aviation industry. Secondly, the current condition of airport logistics in Henan province was analyzed, especially the current situation and noticeable problems. Thirdly, the gray analysis was carried out to analyze the relationship between aviation industry and economy development in Henan. Finally, the according development strategy and suggestions for developing aviation economy were put forward, such as innovating industrial development models, exploring new modes of financing, establishing a sound transportation system and airport supporting facilities, and improving the talent introduction program in airport industry. Overall, this paper researched the aviation economy in Henan province from the perspective of regional economy development, analyzed the current issues occurred in the aviation economy development process, and offered suggestions accordingly.
Evaluation Index System of Ideological and Political Teaching in Colleges and Universities Based on Data Mining under the Background of Big Data
Authors: Shen Zongzheng
Published: July 2022

The big data age has given rise to a new approach for evaluating PIE in colleges and institutions. It is conducive for promoting the development of teaching evaluation in universities and colleges, as well as improving the overall quality of political and ideological education (PIE) in universities and colleges, by using the big data idea and data mining theory to study the Evaluation Index System (EIS) of PIE in universities and colleges. The PIE EIS in universities and colleges is a critical component in achieving PIE Evaluation. It is the main carrier and intuitive manifestation of the evaluation standards of teaching. It clearly defines the content, scope, and scale of the evaluation of political and ideological theory teaching. By using the decision tree algorithm in data mining, it can help process data, complete the data feedback, and determine the indicators of each level of EIS for PIE in universities and colleges. Finally, the effect of this EIS is judged by experiment. The result shows that more than 40% of students are satisfied with the quality of political and ideological course teaching, 36.8% are satisfied with the analysis of the implementation of political and ideological classes in schools, and overall are satisfied with the political and ideological teaching in universities and colleges.
Management of Primary Brainstem Hemorrhage: A Review of Outcome Prediction, Surgical Treatment, and Animal Model
Authors: Chen Peng , Yao Haijun , Tang Xiaoyong , Wang Yanglingxi , Zhang Qingtao , Liu Yang , Hu Jin , Deng Yongbing
Published: July 2022

Primary brainstem hemorrhage (PBH) has the worst prognosis of all types of intracerebral hemorrhage. Currently, the management of PBH is controversial. Hematoma classification, scoring systems, and electrophysiological monitoring are critical for predicting the outcome of PBH. Surgery may be an effective treatment for PBH. Clinical studies have emphasized the importance of animal models for understanding the pathogenesis and pathological mechanisms of PBH. In this study, combined with recent studies, the outcome prediction, surgical treatment, and animal models of PBH were reviewed.
Information Dissemination Model in Rural Live Broadcasting under Blockchain in the Era of Artificial Intelligence
Authors: Liu Jie , Yu Yahui , Ji Peng , Liu Danni
Published: July 2022

This work aims to improve the information dissemination atmosphere of rural live broadcasting and ensure its long-term development. First, it studies and analyzes the current situation and characteristics of rural live broadcasting. Then, it discusses the blockchain (BC) technology and information dissemination mode in the era of artificial intelligence (AI). Finally, the characteristics of BC technology (BT) and the information dissemination model are discussed. A BT-optimized susceptible exposed infected recovered (SEIR) information dissemination model is proposed. The results show that the BT-optimized SEIR model has no effect on the traditional information transmission characteristics and can ensure the conventional transmission of all information. Additionally, BT can effectively improve the overall transmission efficiency of the SEIR model for false information and accurate information and effectively shorten the duration. Specifically, the BT-optimized SEIR model’s maximum false information transmission proportion is reduced by about 13%. The duration is reduced by 15 days over the traditional model. By comparison, in positive information dissemination, the maximum transmission proportion of the proposed BT-optimized SEIR model is about 19% higher than the traditional model. The duration is about 30 days longer. The research provides technical support for controlling and improving the current situation and atmosphere of rural live broadcasting information dissemination.
Factors Affecting Willingness on Sharing of Electronic Health Records Data: A Survey on Chinese Residents
Authors: He Ying , He Qiu , Li Lun , Wang Weihong , Zha Wenting , Liu Qian
Published: July 2022

Background. China has been promoting sharing of Electronic Health Records (EHRs) data for several years. However, only a few studies have explored the views of Chinese residents on sharing personal health data, and the factors that affect sharing of EHRs have not been fully elucidated. This study sought to explore public attitudes toward sharing EHRs and the factors that affect sharing of personal health data among Chinese residents. Methods. A multi-stage stratified sampling design was adopted in this survey to select residents in Hunan province, resulting in 932 responses randomly. The investigation was carried out with the administration of a 19-item questionnaire. The measure includes items on demographics, willingness to share EHRs, experiences on EHRs, public acknowledgment of the benefits of sharing EHRs, and public awareness of potential risks of sharing EHRs. Results. The score of general willingness to share EHRs was 5.784 ± 2.031. Concerning the domain scores for the willingness, the willingness to share EHRs for research was 2.060 ± 0.942, whereas sharing anonymization EHRs for other nonmedical services was only 1.805 ± 0.877. Multiple linear regression showed that general willingness to share EHRs was related to job-related healthcare (β = 0.520), experiences on EHRs (β = 0.192), public awareness of potential risks of sharing EHRs (β = −0.130), and public acknowledgment of the benefits of sharing EHRs (β = 0.290). Conclusion. The willingness to share EHRs data with Chinese residents was not high. The willingness of Chinese residents towards data sharing in EHRs is influenced by several factors, primarily job-related to healthcare, experiences on EHRs, public acknowledgment of the benefits of sharing EHRs, and public awareness of potential risks of sharing EHRs. The results provide a basis for related research and provide information for designing public health strategies such as formulating policies to improve public acceptance of sharing EHRs and promoting EHRs-based public health services.
Chemical Constituents of Plectranthus tomentosa Extract and Its Control Effect on Tetranychus kanzawai
Authors: Sun Yuehua , Liu Tianlei , Sun Cuiying , Luo Qing
Published: July 2022

The repellent and contact effects of Plectranthus tomentosa extracts of leaf and stem tissue on different stages of Tetranychus kanzawai were tested using the leaf-dip and insect-dip methods, and the constituents of the Plectranthus tomentosa extract were also determined. It was found that the repellent effect on Tetranychus kanzawai female adults has reached up to 84.43% after 60 min, with significant mortality of Tetranychus kanzawai at all growth stages. Sixty-nine components of the extract were identified by gas chromatography-mass spectrometry, of which limonene, followed by terpinolene, were present at the highest concentration. This research demonstrated that Plectranthus tomentosa has strong repellent and contact effects against Tetranychus kanzawai, offering potential natural strategies for the environmentally protective control of Tetranychus kanzawai in tea gardens and providing the foundation for the biomimetic synthesis of pesticides.
Statistical Analysis of Employment Education in Colleges and Universities Based on Improved Clustering Algorithm
Authors: Liu Bin
Published: July 2022

In order to improve the effect of employment education in colleges and universities, this study combines the improved clustering algorithm to carry out statistical analysis of employment education in colleges and universities and analyzes the current situation of employment education in colleges and universities. In cluster analysis, considering the complexity of the distribution of statistics after the reestimation of the sample size and the possible complex correlation between the series of statistics in the group sequential design, on the premise that the statistics used will not cause type I error expansion after sample size adjustment, some rules for reestimating the sample size can be formulated. Through the simulation analysis, it can be seen that the statistical analysis system of college employment education based on the improved clustering algorithm proposed in this study has a good effect in the clustering of employment education data and has a certain role in promoting the employment of college graduates.
Study and Application of Full Tailing Deep Concentration and Rapid Dewatering Technology
Authors: Peng Liang , Zheng Bokun , Huang TengLong , Zhu Xin , Liu Yang , Hu Fan
Published: July 2022

The problem of unstable full tailing sand concentration and dewatering in some mine filling systems has led to substandard bottom flow concentration of tailing sand concentration equipment, wide fluctuation ranges of filling concentration, substandard return water concentration at filling stations, and high flocculant addition cost. Through flocculation and sedimentation tests, the effect of the flocculant and sedimentation law and the effect of slurry concentration on sedimentation rate were studied, and the field application of the flocculant addition point model was verified. The results showed that (1) when the dose of the flocculant was added, the F1‐type polyacrylamide as the flocculant made the best settling effect of the whole tailing sand in the test, as judged by comparing the falling rate of the clarified layer and the clarification degree of the supernatant. (2) With the increasing flocculant concentration, the settling speed of tailing sand gradually becomes slower; the range of the best settling concentration was 8%–18% of tailing sand concentration; and the concentration of tailing sand corresponding to the maximum solid flux was 10%–14%. (3) Relying on the site conditions of a domestic copper mine, the feed concentration was diluted from 20%–25% to 10%–12%, and the overflow water clarification test was less than 300 ppm, which verified the flocculant test and the correctness of the flocculant addition point model. The type and dosage of the flocculant as well as the feed concentration of the tailing slurry all have an effect on the flocculation and settling effect. The results of the study can provide some implications for the efficient flocculation and settlement of tailings in other mines.
Effect of Self‐Transcendence Theory Combined with Comprehensive Nursing Intervention under Tumor Nutrition Education on Symptom Improvement, Nutritional Status, and Positive Psychology of Elderly Patients with Gastric Cancer
Authors: Cui Xijuan , Shan Tao , Qiao Lina
Published: July 2022

Objective. To explore the value of self‐transcendence theory combined with comprehensive nursing intervention under oncological nutritional education on improvement in symptoms, nutritional status, and positive psychology of elderly patients with gastric cancer (GC). Methods. A total of 98 elderly patients with GC in the First Affiliated Hospital of Xi’an Jiaotong University from January 2021 to December 2021 were enrolled. All these patients were arbitrarily assigned into the observation group (n = 49) and control group (n = 49). The controlled patients accepted the regular oncological nutritional education. The cases of the observation group were given comprehensive nursing care based on the self‐transcendence theory and oncological nutrition education. The symptom remission rate, subjective global assessment (PG‐SGA) score, self‐transcendence scale score, incidence of malnutrition, Hamilton Anxiety (HAMA) scale score, Hamilton Depression (HAMD) scale score, and Newcastle satisfaction with nursing scale (NSNS) score were observed. Results. The remission rate of symptoms in the observation group was higher than that of the control group after the nursing care. Following nursing, the PG‐SGA score of the observation group was lower than that of the control group (p < 0.05). The score of the self‐transcendence scale in the observation group was higher than that of the control group after nursing (p < 0.05). The incidence of malnutrition in the observation group was significantly lower than that of the control group. After nursing, the scores of the HAMA scale and HAMD scale in the observation group were lower than that of the control group (p < 0.05). The NSNS score of the observation group was statistically higher than that of the control group following nursing. Conclusion. The application value of self‐transcendence theory combined with comprehensive nursing care under oncological nutritional education is more significant in elderly patients with GC, which is more helpful to enhance symptoms and nutritional status and control the incidence of malnutrition. Thus, it is able to reduce anxiety and depression and the rate of adverse reactions related to surgery‐assisted chemotherapy as well.
Analysis of Agricultural Biomass Energy Use and Greenhouse Gas Reduction Evidence from China
Authors: Li Deming
Published: July 2022

China is a large agricultural country, where agricultural activities and rural life cause a large amount of greenhouse gas (GHG) emissions. In the process of crop growth, production, and processing, a large number of crop straws and agricultural wasted products are produced, which become one of the important sources of biomass resources. However, few detailed studies focused on the potential of China’s agricultural biomass energy conversion and carbon emission reduction, and fewer studies proposed GHG emission reduction strategies from the perspective of making full use of China’s agricultural waste resources. In this study, the quantity calculation index of agricultural biomass energy was given, and the GHG emission reduction potential calculation index of agricultural biomass energy was constructed, with which the amount of GHG emissions caused by agricultural waste use in China was measured and the potential of GHG emission reduction caused by agricultural waste use would be easily speculated. Based on the statistical data of China, the quantity and GHG emission reduction potential of agricultural biomass resources in China in the recent 10 years (2009∼2018) were clarified. According to the research, the amount of agricultural waste equivalent to standard coal in China from 2009 to 2018 reached 280,0711 million tons. If all these resources were used to replace coal, a total of 4,474,483 million tons of carbon dioxide emissions could be saved. Assuming that these wastes are anaerobic, carbonized, or fully burned as fuel, CH4 emissions could be reduced by up to 12.024 million tons and N2O emissions by up to 185,000 tons. It can be seen that the effective utilization of agricultural biomass resources can replace coal, reduce backwardness such as land burning, and then reduce CO2, CH4, N2O, and other greenhouse gas emissions, and promote the realization of carbon peak and carbon neutrality.
Influence of Multiple Music Styles and Composition Styles on College Students’ Mental Health
Authors: Zheng Ququ , Lam Vincent
Published: July 2022

The purpose is to reduce students’ psychological pressure and improve their quality of study and life. Here, 400 language-impaired students in the public elective psychology course at Northwestern University and the undergraduate psychology class at Xi’an Foreign Studies University in the 2018-2019 academic year are randomly selected as the research objects for this music psychology experiment. The students were divided into different experimental groups using the Questionnaire Survey (QS) method to analyze the students’ psychological reactions to Baroque, classical, and romantic music styles. Then, it further discusses the students’ emotional response and audiovisual synaesthesia, as well as their recognition and choice of music style. The results show that there are significant differences in the same emotional response intensity of the subjects to different styles of music creation. The music expression is consistent with the actual feelings of the subjects. The tonality and color density of audiovisual synaesthesia vary with the style of music creation. Different music creation styles generate different associations in students’ minds, thus showing different psychological reactions. The QS results indicate that soft and soothing music can relieve students’ learning pressure most, while music with a strong sense of rhythm and vitality has no significant effect. Therefore, different music creation styles affect students’ learning pressure differently. This work discusses the influence of different music creation styles on the mental health of contemporary college students and provides a reference for music therapy to relieve students’ learning pressure in the future.
Internal Control Model of Enterprise Financial Management Based on Market Economy Environment
Authors: Li Qian
Published: July 2022

In order to better solve the problems existing in the internal environment, risk assessment, and internal supervision of enterprise financial management, this paper proposes a method of enterprise financial analysis and control model based on artificial neural network algorithm. The results show that, through the internal control model and management optimization of financial management, a large number of calculations and subjective affairs in the process of financial work can be avoided to the greatest extent. For enterprises, a large number of human, material, and financial resources can be saved for data collection, which is more conducive to improving the enterprise financial management system, improving the quality of financial information, providing technical support for enterprise decision-making, and further reducing the risk in the process of enterprise operation.
A Cumulants-Based Human Brain Decoding
Authors: Zafar Raheel , Javvad ur Rehman Muhammad , Alam Sheraz , Arslan Khan Muhammad , Hussain Asad , Ahmad Rana Fayyaz , Reza Faruque , Jahan Rifat
Published: July 2022

Human cognition is influenced by the way the nervous system processes information and is linked to this mechanical explanation of the human body’s cognitive function. Accuracy is the key emphasis in neuroscience which may be enhanced by utilising new hardware, mathematical, statistical, and computational methodologies. Feature extraction and feature selection also play a crucial function in gaining improved accuracy since the proper characteristics can identify brain states efficiently. However, both feature extraction and selection procedures are dependent on mathematical and statistical techniques which implies that mathematical and statistical techniques have a direct or indirect influence on prediction accuracy. The forthcoming challenges of the brain-computer interface necessitate a thorough critical understanding of the complicated structure and uncertain behavior of the brain. It is impossible to upgrade hardware periodically, and thus, an option is necessary to collect maximum information from the brain against varied actions. The mathematical and statistical combination could be the ideal answer for neuroscientists which can be utilised for feature extraction, feature selection, and classification. That is why in this research a statistical technique is offered together with specialised feature extraction and selection methods to increase the accuracy. A score fusion function is changed utilising an enhanced cumulants-driven likelihood ratio test employing multivariate pattern analysis. Functional MRI data were acquired from 12 patients versus a visual test that comprises of pictures from five distinct categories. After cleaning the data, feature extraction and selection were done using mathematical approaches, and lastly, the best match of the projected class was established using the likelihood ratio test. To validate the suggested approach, it is compared with the current methods reported in recent research.
Diagnostic Value of Image Features of Magnetic Resonance Imaging in Intracranial Hemorrhage and Cerebral Infarction
Authors: Tang Wencai , Zeng Fangyi , Zhao Guangtang
Published: July 2022

This study aimed to investigate the differential diagnosis value of routine magnetic resonance imaging (MRI) and magnetic resonance diffusion‐weighted imaging (DWI) in hyperacute intracranial hemorrhage (HICH) and hyperacute cerebral infarction (HCI). Fifty‐five patients with HICH were set as group A, and 55 patients with HCI were selected as group B. All the patients underwent routine MRI and DWI examinations. The morphological distribution and signal characteristics (low, high, or mixed) of the lesions in the two groups were recorded. The diagnostic accuracy, sensitivity, and specificity of routine MRI and DWI were compared for distinguishing HICH and HCI. The results suggested that the lesions in patients with HICH were mainly manifested as mixed signals (40 cases), while those in patients with HCI showed high signals (48 cases). HICH occurred in the basal ganglia in 44 cases, in the brain stem in 6 cases, in the cerebellum in 4 cases, in the cerebral cortex in 0 cases, and in the corpus callosum in 1 case. HCI occurred in the basal ganglia area, brain stem, cerebellum, cerebral cortex, and corpus callosum in 5, 3, 35, 12, and 0 cases, respectively. The diagnostic accuracy, specificity, and sensitivity of DWI for HICH and HCI were significantly higher than those of routine MRI (P < 0.05). It was indicated that compared with routine MRI, DWI was more effective in the diagnosis of HICH and HCI, with clearer and more accurate images and better diagnostic performance.
Construction of a Novel Clinical Stage-Related Gene Signature for Predicting Outcome and Immune Response in Hepatocellular Carcinoma
Authors: Yang Liu , Zeng Long-fei , Hong Guo-qing , Luo Qing , Lai Xing
Published: July 2022

Hepatocellular carcinoma (HCC) with high heterogeneity is one of the most frequent malignant tumors. However, there were no studies to create a clinical stage-related gene signature for HCC patients. Differentially expressed genes (DEGs) associated with clinical stage of HCC were analyzed based on TCGA datasets. Functional enrichment analysis was carried out by the use of stage-related DEGs. Then, the least absolute shrinkage and selection operator (LASSO) regression and univariate Cox regression were performed to reduce the overfit and the number of genes for further analysis. Next, survival and ROC assays were carried out to demonstrate the model using TCGA. Functional analysis and immune microenvironment analysis related to stage-related DEGs were performed. Reverse transcriptase polymerase chain reaction (RT-PCR) and Cell Counting Kit-8 (CCK-8) assays were applied to examine the expression and function of PNCK in HCC. In this research, there were 21 DEGs between HCC specimens with stage (I-II) and HCC specimens with stage (III-IV), including 20 increased genes and 1 decreased genes. A novel seven-gene signature (including PITX2, PNCK, GLIS1, SCNN1G, MMP1, ZNF488, and SHISA9) was created for the prediction of outcomes of HCC patients. The ROC curves confirmed the prognostic value of the new model. Cox assays demonstrated that the seven-gene signature can independently forecast overall survival. The immune analysis revealed that patients with low risk score exhibited more immune activities. Moreover, we confirmed that PNCK expressions were distinctly increased in HCC, and its silence suppressed the proliferation of HCC cells. Overall, our research offered a robust and reliable gene signature which displayed an important value in the prediction of overall survival of HCC patients and might deliver more effective personalized therapies.
Comparison of Clinical and Radiographic Success between MTA and Biodentine in Pulpotomy of Primary Mandibular Second Molars with Irreversible Pulpitis: A Randomized Double-Blind Clinical Trial
Authors: Eshghi Alireza , Hajiahmadi Maryam , Nikbakht Mohammad Hossein , Esmaeili Mona
Published: July 2022

Introduction. Among the new therapeutic materials, MTA and Biodentine are recommended for pulpotomy and sealing the pulp. Considering the similar characteristics of these two materials and considering that their effects on the treatment of primary second molars with irreversible pulpitis have not been compared properly, this study aimed to compare clinical and radiographic success between MTA and Biodentine in pulpotomy of primary mandibular second molars with irreversible pulpitis. Materials and Methods. This study was conducted as a randomized double-blind clinical trial. Participants were selected according to inclusion criteria and 52 samples were randomly selected using random numbers table in group A. Then, patients in the next group B were matched with the first group in terms of age range and sex. In group A, the remaining pulp was covered with 2 mm MTA+ and in group B with 3 mm Biodentine. Participants were called for clinical evaluation every three months for 12 months (long-term follow-up). Radiographic evaluations were in the sixth and twelfth months. Results. Fischer’s exact test showed that there was no significant difference between MTA and Biodentine in terms of clinical and radiographic success rates (

P

value = 1). According to the results of the Kaplan–Meier test, the survival rate in both pulp treatment methods was similar in symptomatic teeth. Conclusions. The results of this study showed that Biodentine properties are similar to MTA, and both materials show high clinical and radiographic success rates in long-term follow-up.
Privacy Shield: A System for Edge Computing using Asynchronous Federated Learning
Authors: Khalid Adnan , Aziz Zeeshan , Fathi Mohamad Syazli
Published: July 2022

Due to increase in IoT devices, the data produced every day are also increasing rapidly. The growth in data means more processing and more computations are required without delay. This introduced us to a new horizon of the computing infrastructure, i.e., edge computing. Edge computing gained prominence as a solution to the problem of delayed transmission, processing, and response by the cloud architecture. It was further augmented with the field of artificial intelligence. It has become a topic in research with preservation of data privacy as the focal point. This paper provides Privacy Shield, a system for edge computing using asynchronous federated learning, where multiple edge nodes perform federated learning while keeping their private data hidden from one another. Contrary to the pre-existing distributed learning, the suggested system reduces the calls between the edge nodes and the main server during the training process ensuring that there is no negative impact on the accuracy of the mode. We used different values of Ω that affect the accuracy and the compression ratio. In the interval of Ω = [0.2, 0.4], the C-ratio increases and the value of Ω and the compression ratio value are directly proportional regardless of the fluctuations. We analyzed the accuracy of the model which increases along with the increase in compression ratio. Compressing the gradient communications reduces the likelihood of the data of being attacked. As the nodes train asynchronously on limited and different kinds of samples, the binary weights adjustment method was used to handle the resulting “unbalanced” learning. The MNIST and Cifar10 dataset were used for testing in both tasks, respectively.
Application of Internet of Things Based on Big Data Ecosystem in Factory Energy Consumption Analysis Model
Authors: Li Ang , Zhang Chen , Li Lei
Published: July 2022

The demand for energy in factories is huge. With abundant energy supply, factories can raise their production capacity to a new height. Energy is the material basis of domestic economic development. As the largest developing country in the world, energy shortage has become an urgent problem for China. In this paper, an Internet of Things based on big data ecosystem is proposed to analyze the energy consumption of the factory and build a model. The Internet of Things technology of big data ecosystem can be summarized as a technology that uses information sensing devices to complete the transaction and network connection according to the protocol content. A total of 853,000 power distribution operations were carried out in the power grid. In 2019, the average ratio of decision tree algorithm, machine learning algorithm, and machine learning algorithm was 36.8%, 37.4%, and 43.5%, respectively. Compared with the three methods, the method in this paper increased by 37.9% year-on-year and reduced the power outage by 2.63 million households, which is equivalent to a corresponding reduction of 35 users per operation. The functional requirements of the IoT energy consumption analysis system in factories based on big data ecosystem are reflected in three aspects: energy consumption monitoring and management, power control and management, and energy consumption supervision and analysis. Based on the management of energy consumption monitoring and power control through the software platform, the functional requirements of the system are analyzed.
The Clinical Effects of Metronidazole Vaginal Effervescent Tablets Combined with Kushen Suppository in the Treatment of Trichomonas Vaginitis
Authors: Zhang Hongxia , Jing Zeng , Li Feng , Yue Benming , Zhang Ping , Li Hui
Published: July 2022

Objective. The aim of this study was to explore the clinical effects of metronidazole vaginal effervescent tablets combined with Kushen suppository in the treatment of Trichomonas vaginitis. Methods. Ninety patients with trichomoniasis admitted to our hospital from January 2019 to January 2020 were prospectively analyzed and randomly divided into a control group (n = 45) treated with metronidazole vaginal effervescent tablets and an experimental group (n = 45) treated with Kushen suppository on top of the control group using the random number table method. The clinical effects, inflammatory factors, and microcirculation indexes were compared. We assessed patient’s vaginal health by Vaginal Health Score Scale (VHS) before and after treatment and estimated their quality of life according to Generic Quality of Life Inventory-74 (GQOLI-74). A follow-up visit was conducted to compare patient’s recurrence 3 months after treatment. Results. Distinctly higher total clinical effective of the experimental group compared with that of the control group was obtained (

P
<
0.05

); the serum level of inflammatory factors of the experimental group was dramatically lower than that of the control group after treatment (

P
<
0.001

); the experimental group experienced a favorable microcirculation index in comparison with the control group (

P
<
0.001

); superior VHS (

P
<
0.001

) and GQOLI-74 (

P
<
0.05

) scores of the experimental group after treatment compared to those of the control group were observed; the recurrence rate of the experimental group 3 months after treatment was significantly decreased in comparison with that of the control group (

P
<
0.05

). Conclusion. Metronidazole vaginal effervescent tablets combined with Kushen suppository can effectively improve the clinical symptoms of patients with trichomonas vaginitis, abate patient’s inflammatory reaction, and raise their quality of life, which is worthy of promotion.
Outcomes of COVID-19 among Patients with Chronic Liver Disease: A Danish Prospective, Population-Based Cohort Study
Authors: Dahlin Pernille , Nagras Zainab Gassem , Attauabi Mohamed , Burisch Johan , Bendtsen Flemming , Kimer Nina
Published: July 2022

Aims. Chronic liver disease and cirrhosis are associated with immune dysregulation and might increase the risk of acquiring COVID-19 and developing more severe outcomes of it. In a population-based cohort study of patients with chronic liver disease and cirrhosis, we investigated the association between liver disease and COVID-19. We assessed the impact of COVID-19 infection on disease severity and the course of liver disease. Methods. We included all patients living in the Capital Region of Denmark and Region Zealand with chronic liver disease and a positive RT-PCR test for SARS-CoV-2. The background population was 2.7 million people; of these, 19,743 people had a diagnosis of liver disease. Between Feb 1, 2020, and Feb 27, 2021, 7,240 people with chronic liver disease were tested for SARS-CoV-2. Results. There were 261 patients with chronic liver disease and COVID-19 in the study. Sixty-four (24.2%) patients had cirrhosis. People with cirrhosis were more likely to require hospitalization than patients with chronic liver disease (71.8% versus 16.2%,

p
<
0.001

) and more likely to be admitted to an intensive care unit (7.8% versus 3.6%,

p
=
0.005

) and had higher rates of mortality (18.7% versus 1.5%,

p
=
0.001

). In univariate analyses controlled for age, gender, and comorbidities, cirrhosis remained an independent predictor of severe COVID-19. Of hospitalized patients with cirrhosis, 41% experienced a worsening of their liver disease during their COVID-19 infection. Conclusion. Patients with chronic liver disease, especially those with cirrhosis, are at major risk of a severe COVID-19 disease course and higher mortality.
Computer Security Issues and Legal System Based on Cloud Computing
Authors: Li Hui
Published: July 2022

To effectively improve the security and accuracy of computer information storage, a computer security problem and legal system based on cloud computing are proposed. Firstly, this article details the evolution of cloud computing, its characteristics, architecture, and application status of cloud computing in detail. Second, we discussed security strategies to ensure the confidentiality and integrity of cloud computing information, focuses on the data encryption technology of cloud data security, and designs and implements the data backup and recovery system based on the cloud platform. The core layers of the system are the system layer and data operation layer. The system uses multithreading technology based on epoll and thread pool to improve the efficiency of data transmission. At the same time, the basic visual page is realized, and users can use the page to create a convenient operating system. Finally, the system is built in the laboratory environment and tested as a whole. The test results show that through the performance comparison with the current commonly used systems, it is found that the system in this paper has a certain improvement in data transmission rate, but the utilization rate of node CPU is as high as 40%, which leads to certain requirements for node CPU performance. Therefore, the system meets the functional requirements proposed in the design. Compared to the existing system, its performance has been found to meet the actual requirements of use, proving that the system is accessible and efficient.