bluuebunny/crossref_metadata_2025 huggingface dataset:
Transmission Line Planning Based on Artificial Intelligence in Smart Cities
Authors: Yang Dong , He Tao , Du Bolin , Wang Shou , Zhang Zhong , Zhang Suxin
Published: March 2022

With the development of smart cities, it is particularly important to realize scientific and reasonable planning of transmission lines as the backbone of the power transmission system. Through the geographic information system (GIS) platform, this paper obtains the geographic information of the planning area. Then, through the typical design cost of the 110 kV transmission line subvolume of the typical cost of the power transmission and transformation project of the State Grid Corporation and the local documents of the smart city planning area, this paper obtains the estimated cost of each grid after gridding in the smart city area. After that, the research uses the ant colony algorithm to search for the optimal transmission line route in the smart city. Finally, the achievements of primary economic and technical indexes are evaluated in transmission line planning of smart city.
An Improved Data Mining Model for Predicting the Impact of Economic Fluctuations
Authors: Zhou Liting , Chen Qiang , Zhu Tianyu
Published: March 2022

In order to explore the influencing factors of economic fluctuations, this article combines data mining technology to mine the factors that affect economic fluctuations and introduces financial network theory to the transfer problem of investment strategies, which provides an effective research method for economic behavior research. Moreover, this article calculates the fund network parameters from a quantitative perspective by constructing the topological characteristic index of the financial network to illustrate the influence of the degree of network evolution and the time scale. In addition, this article constructs an economic fluctuation data mining model based on economic fluctuations and uses data to verify the effects of the method proposed in this article. The experimental results show that the data mining method proposed in this article can play an important role in the analysis of factors affecting economic fluctuations and accurately mine the relevant factors that affect the economy.
Multiobjective Optimization of EDM Parameters for Rice Husk Ash/Cu/Mg‐Reinforced Hybrid Al‐0.7Fe‐0.6Si‐0.375Cr‐0.25Zn Metal Matrix Nanocomposites for Engineering Applications: Fabrication and Morphological Analysis
Authors: Muni Ram Narayan , Singh Jujhar , Kumar Vineet , Sharma Shubham , Sudhakara P. , Aggarwal Vivek , Rajkumar S.
Published: March 2022

The advanced class of Al/(RHA+Mg+Cu) hybrid metal matrix nanocomposites (MMNCs) has exhibited superior physical, and mechanical properties with superior wettability and chemical compatibility. This work has also been reported on the machining and multiobjective optimization of process variables for the machining of Al/(RHA+Mg+Cu) hybrid MMNCs on EDM using L27 Taguchi’s orthogonal array integrated with Grey rational analysis (GRA). The primarily target goal of this study is to produce nanocomposite having better properties with minimal production cost, with the use of reinforcement rice husk ash (RHA). RHA is utilized in the base matrix of Al 6061 at wt.% of 6, 8, and 10. On the other hand, the elements such as Cu and Mg are placed fixed, i.e., 3 wt.% and 1 wt.%, respectively. The hardness, tensile strength, and impact strength of the nanocomposites increased with the maximum increment of 35.11%, 15.76%, and 16.67%, respectively, as compared to neat composite. Further, the purpose of this investigation was to determine the effect of various factors such as the percentage of RHA in the workpiece electrode (W), the discharge current (I), the voltage (V), the duty factor (τ), the pulse‐on time (Ton), and the flushing pressure (P) on the material removal rate (MRR), the surface roughness (SR), and the tool wear rate (TWR) during the machining of hybrid nanocomposites using Taguchi’s approach. The results revealed that MRR decreased with increasing the RHA content in the workpiece which can be reasoned to isolating nature of the RHA. It clearly shows that SR has decreased with an addition of RHA content from 6 wt.% to 8 wt.% in workpiece, but it slightly increased by further addition of RHA from 8 wt.% to 10 wt.%. SR has decreased with an increase in duty factor while performing EDM trials with the copper electrode, but it slightly increases with a further increase in duty factor. By the increase in pulse‐on time, spark energy also increases also leading to the formation of craters. Therefore, SR has increased with an increase in pulse‐on time. The TWR has increased with an increase in RHA content in the workpiece, because of the existence of hard reinforcements on the matrix which causes larger wear in the tool. Analysis of SEM micrographs showed the presence of voids, shallow and deep craters, and black voids on the machined surface of the fabricated hybrid nanocomposites. As calculated using the response graph for GRG, confirmation tests for optimal parametric setting show improvement over initial parametric setting of machining parameters. The mean of optimal MRR, SR, and TWR is estimated at the significant level of machining factors at A1B3C3D2E3F1, A2B1C1D2E1F3, and A1B1C1D1E1F3, respectively.
Oxidative Stress in Intervertebral Disc Degeneration: New Insights from Bioinformatic Strategies
Authors: Zhao Yongzhao , Xiang Qian , Lin Jialiang , Jiang Shuai , Li Weishi
Published: March 2022

Oxidative stress has been proved to play important roles in the development of intervertebral disc degeneration (IDD); however, the underlying mechanism remains obscure to date. The aim of this study was to elucidate the vital roles of oxidative stress-related genes in the development of IDD using strict bioinformatic algorithms. The microarray data relevant to the IDD was downloaded from Gene Expression Omnibus database for further analysis. A series of bioinformatic strategies were used to determine the oxidative stress-related and IDD-related genes (OSIDDRGs), perform the function enrichment analysis and protein-protein interaction analysis, construct the lncRNA-miRNA-mRNA regulatory network, and investigate the potential relationship of oxidative stress to immunity abnormality and autophagy in IDD. We observed a significantly different status of oxidative stress between normal intervertebral disc tissues and IDD tissues. A total of 72 OSIDDRGs were screened out for the further function enrichment analysis, and 10 hub OSIDDRGs were selected to construct the lncRNA-miRNA-mRNA regulatory network. There was a very close association of oxidative stress with immunity abnormality and autophagy in IDD. Taken together, our findings can provide new insights into the mechanism research of oxidative stress in the development of IDD and offer new potential targets for the treatment strategies.
Spondias purpurea L. Bark Extract Protects against Oxidative Stress and Reduces Hypercholesterolemia in Mice Fed High-Fat Diet
Authors: Antunes Kátia A. , Monteiro-Alfredo Tamaeh , Cunha Janielle S. M. , Espindola Priscila P. T. , Oliveira Alex S. , Ramalho de Oliveira Caio F. , de Carvalho José Tarcísio G. , Domingues Nelson L. C. , Silva Denise B. , Olinto Silvia C. F. , dos Santos Edson L. , de Picoli Souza Kely
Published: March 2022

Oxidative stress plays a key role in the initiation and progression of metabolic diseases, including obesity. Preventing the accumulation of reactive oxygen species and oxidative damage to macromolecules is a beneficial strategy for reducing comorbidities associated with obesity. Fruits from the Spondias genus are known for their antioxidant activity, but they are not available year-round due to their seasonality. In this context, we investigated the antioxidant activity and identified the chemical constituents of the aqueous extract of the stem bark of Spondias purpurea L. (EBSp). Additionally, we evaluated the effect of EBSp consumption on metabolic parameters in mice with obesity induced by a high-fat diet. Chemical analyses revealed 19 annotated compounds from EBSp, including flavan-3-ols, proanthocyanidins, methoxylated coumarin, and gallic and ellagic acids, besides other phenolic compounds. In vitro, EBSp showed antioxidant activity through the scavenging of the free radicals and the protection of macromolecules against oxidative damage. Cellular assays revealed that EBSp reduced the levels of malondialdehyde produced by erythrocytes exposed to the oxidizing agent AAPH. Flow cytometry studies showed that EBSp reduced reactive oxygen species levels in human peripheral blood mononuclear cells treated with hydrogen peroxide. Obese mice treated with EBSp (400 mg.kg-1) for 60 days showed reduced levels of malondialdehyde in the heart, liver, kidneys, and nervous system. The total cholesterol levels in mice treated with EBSp reached levels similar to those after treatment with the drug simvastatin. Together, the results show that the combination of the different phenolic compounds in S. purpurea L. bark promotes antioxidant effects in vitro and in vivo, resulting in cytoprotection in the context of oxidative stress associated with obesity and a reduction in hypercholesterolemia. From a clinical perspective, the reduction in oxidative stress in obese individuals contributes to the reduction in the emergence of comorbidities associated with this metabolic syndrome.
The Efficacy and Safety of Plasma Exchange in the Treatment of Thrombotic Thrombocytopenic Purpura
Authors: Pan Zhilan , Zhang Zhimin , Yang Yan , Hao Weihua
Published: March 2022

Background. Thrombotic thrombocytopenic purpura (TTP) is a clinically rare thrombotic cardiovascular and microvascular disease. The purpose of this study was to observe the clinical efficacy and safety of plasma exchange in the treatment of TTP. Methods. A total of 16 TTP patients who underwent plasma exchange from January 2015 to December 2020 were selected. The clinical data of all patients were collected for retrospective analysis. The effective rate of treatment, the changes of blood cell count before and after treatment, and adverse reactions during treatment were analyzed. Results. A total of 50 plasma exchanges were performed in 16 TTP patients. After plasma exchange treatment, there were 4 invalid and 12 improved patients. The total effective rate of plasma exchange in patients with TTP was 75.0%. After treatment, platelet count (PLT) and hemoglobin (Hb) levels were significantly increased in TTP patients. Compared with before treatment, lactate dehydrogenase (LDH), indirect bilirubin (IBIL), total bilirubin (TBIL), and broken red blood cells were significantly reduced. In addition, 3 adverse reactions occurred in 50 plasmapheresis procedures, and the incidence of adverse reactions was 6.0%. Conclusion. Plasma exchange therapy has a good therapeutic effect on TTP and can significantly improve abnormal blood cell count in patients with high safety.
Deep Reinforcement Learning for UAV Intelligent Mission Planning
Authors: Yue Longfei , Yang Rennong , Zhang Ying , Yu Lixin , Wang Zhuangzhuang
Published: March 2022

Rapid and precise air operation mission planning is a key technology in unmanned aerial vehicles (UAVs) autonomous combat in battles. In this paper, an end‐to‐end UAV intelligent mission planning method based on deep reinforcement learning (DRL) is proposed to solve the shortcomings of the traditional intelligent optimization algorithm, such as relying on simple, static, low‐dimensional scenarios, and poor scalability. Specifically, the suppression of enemy air defense (SEAD) mission planning is described as a sequential decision‐making problem and formalized as a Markov decision process (MDP). Then, the SEAD intelligent planning model based on the proximal policy optimization (PPO) algorithm is established and a general intelligent planning architecture is proposed. Furthermore, three policy training tricks, i.e., domain randomization, maximizing policy entropy, and underlying network parameter sharing, are introduced to improve the learning performance and generalizability of PPO. Experiments results show that the model in this work is efficient and stable, and can be adapted to the unknown continuous high‐dimensional environment. It can be concluded that the UAV intelligent mission planning model based on DRL has powerful intelligent planning performance, and provides a new idea for researching UAV autonomy.
Application of Decision Tree Algorithm in Early Entrepreneurial Project Screening
Authors: Wang Yu Min , Xue Lin
Published: March 2022

Venture capital firms are always faced with insufficient information and insufficient time when evaluating whether startups are worth investing in. This paper focuses on how to combine the public information of startups with the decision tree algorithm to assist investors in project screening. By extracting the public information of 1104 AI and big data companies from January 2016 to June 2017 and the financing progress in the following 18 months, this paper finds that: the six indicators of having a working background in well-known companies, being reported by well-known media, having patents and being invested by excellent institutions, working experience is highly related to this venture, and having well-known financing consultants can effectively help investors screen out projects that can obtain sustainable financing, that is, high potential projects. Considering the problem of data availability in the real world, combined with industry experience, this paper makes a more detailed variable mining for semistructured information, such as the team resume of start-ups, and selects a decision tree algorithm that is insensitive to missing values and has strong interpretability to amplify the value of fragmented information. Finally, by the improvement of the algorithm, a project screening model that can meet the needs of investment practice is designed, and the fusion mode of public information and private information is discussed, which has a more complete guiding significance for optimizing investment work.
Effect of Strong Mining on the Fracture Evolution Law of Trick Rise in the Mining Field and Its Control Technology
Authors: Li Zhaolin , Wang Lianguo , Ding Ke
Published: March 2022

This study investigates the law of stress field and fracture field of the surrounding rock at the trick rise of the mining area affected by strong mining. It is found that as the working face continues to approach, large-scale cracks occur in the surrounding rock on the track rise. In particular, when the working face crosses the track rise, the equivalent stress

τ

oct

concentration area expands, gradually intersecting with the surrounding rock concentration area of the roadway. It indicates that the working face advancement caused a dramatic change in the stress field of the roadway envelope, which will have an immediate adverse effect on the track rise. With comprehensive support costs, economic efficiency, and other factors, the working face will no longer cross the track rise, and the stopping line is roughly controlled at -20 m so that the track rise can serve other working faces for a long time. The reinforcement support scheme of “anchor mesh spray + grouting anchor” is proposed for the key areas such as arch shoulder. Through the analysis of the field monitoring of the roadway surface displacement, the deformation of the roadway surrounding rock showed a change trend of increasing first and then stabilizing with time, which indicates that the support effect was good and greatly improved the stability and safety of the roadway.
Combustion Characteristics of Briquette Fuel Produced from Biomass Residues and Binding Materials
Authors: Kebede Temesgen , Berhe Dargie Tsegay , Zergaw Yohannes
Published: March 2022

Proper management and effective conversion of biomass residues for biofuel production are crucial to reduce deforestation due to the cutting of trees for cooking and heating as a primary source of fuel and improving energy utilization of households. Thus, this study is aimed at investigating the effects of biomass residues of the coffee husk (CH), sawdust (SD), khat waste (KW), and dry grass (DG) and binding materials prepared from the waste paper pulp (PP) and clay soil (CS) under a low-pressure piston press densification machine. The biomass waste and binders were combined in a 3 : 1 ratio of CH : PP, CH : CS, SD : PP, SD : CS, KW : PP, KW : CS, DG : PP, and DG : CS. The briquettes were produced using a manually operated closed-end piston press machine compacted at an average pressure of 2 MPa. Briquette proximate and ultimate analysis of moisture content, volatile matter, fixed carbon, and ash content was determined using standard ASTM methods, while the calorific value was determined using a bomb calorimeter and data analysis was carried out using the R-program. Results revealed that the briquette produced from biomass residues has a mean value of fixed carbon and calorific value that ranged from38.62±1.53to41.75±2.14and3979.21±232.05 cal/g to4577.34±397.11 cal/g, respectively. Generally, briquettes produced from saw dust residue and the paper pulp binder had better quality of fuel and this could be used as an alternative source of energy and proper waste management option.
A Systematic Review and Network Meta‐Analysis of Biomedical Mg Alloy and Surface Coatings in Orthopedic Application
Authors: Lu XinYue , Cai HongXin , Li Yu Ru , Zheng Xinru , Yun Jiahao , Li Wenhui , Geng XiaoYu , Kwon Jae-Sung , Jiang Heng Bo
Published: March 2022

Magnesium alloys have great application prospects as ideal bone implant materials. However, their poor corrosion resistance limits their clinical orthopedic application. Surface modification promotes the corrosion resistance of magnesium. Conversion coatings, such as calcium phosphate (Ca‐P) coating, microarc oxidation (MAO) treatment, and fluoride (FLU) treatment, have been extensively investigated in in vivo studies. This systematic review and network meta‐analysis compared the influence of different conversion coatings on bone repair, material properties, and systemic host response in orthopedic applications. Using the PICOS model, the inclusion criteria for biodegradable magnesium and its alloys were determined for in vivo studies. Four databases were used. The standard and weight mean differences with 95% confidence intervals were used to analyze new bone formation and degradation rate. Network structure and forest plots were created, and ranking probabilities were estimated. The risk of bias and quality of evidence were assessed using SYRCLE, CERQual, and GRADE tools. In the qualitative analysis, 43 studies were selected, and the evaluation of each outcome indicator was not entirely consistent from article to article. In the quantitative analysis, 21 articles were subjected to network meta‐analysis, with 16 articles on implant degradation and 8 articles for new bone formation. Additionally, SUCRA indicated that Ca‐P coating exhibited the highest corrosion resistance, followed by FLU treatment. MAO demonstrated the best capability for new bone formation, followed by Ca‐P coating. Ca‐P coating exhibited the highest overall performance. To conclude, coated Mg can promote better new bone formation than bare Mg and has considerable biocompatibility. Ca‐P‐coated Mg and MAO‐coated Mg have the greatest potential to significantly promote corrosion resistance and bone regeneration, respectively. The findings of this study will provide a theoretical basis for the investigation of composite coatings and guidance for the orthopedic application of Mg bone implants.
Analysis of the APOB Gene and Apolipoprotein B Serum Levels in a Mexican Population with Acute Coronary Syndrome: Association with the Single Nucleotide Variants rs1469513, rs673548, rs676210, and rs1042034
Authors: Aceves-Ramírez Maricela , Valle Yeminia , Casillas-Muñoz Fidel , Martínez-Fernández Diana Emilia , Parra-Reyna Brenda , López-Moreno Víctor Arturo , Flores-Salinas Héctor Enrique , Valdés-Alvarado Emmanuel , Muñoz-Valle José Francisco , García-Garduño Texali , Padilla-Gutiérrez Jorge Ramón
Published: March 2022

Apolipoprotein B (APOB) is associated with the development of atherosclerosis and consequently in the acute coronary syndrome (ACS) physiopathology. Single number variants (SNVs) in apolipoprotein B gene (APOB) influence over the susceptibility for this syndrome. The aim of this study was to determine the impact of the rs1469513, rs673548, rs676210, and rs1042034 SNVs and serum levels of APOB in the risk of ACS in a population from western Mexico. We included 300 patients in the group of cases (ACSG) and 300 individuals in the control group (CG). APOB levels were evaluated by immunonephelometry, and SNVs were genotyped with TaqMan probes. We found significant allelic and genotypic differences between groups for rs673548 and rs676210 (OR = 1.33,

p
=
0.030

, OR = 2.69,

p
<
0.001

) and rs1042034 (OR = 0.50,

p
=
0.037

) SNVs. We found a risk haplotype TAGT (OR: 2.14, IC 1.50–3.04,

p
<
0.001

). Our findings support a significant risk association between rs673548 and rs676210 variants for ACS; meanwhile, rs1042034 could be considered protective factor in a western Mexican population. Also, in this population, haplotype TAGT may confer 2.14 times a higher risk. APOB serum levels were compared by genotype variants in both groups without any significant statistical difference.
Associations of Urinary Phytoestrogen Concentrations with Nonalcoholic Fatty Liver Disease among Adults
Authors: Xiong Guang , Huang Changbo , Zou Yuping , Tao Ziyin , Zou Jun , Huang Jiean
Published: March 2022

Phytoestrogens can alleviate some pathological processes related to nonalcoholic fatty liver disease (NAFLD). However, there are limited and contradictory studies on the relationships between phytoestrogens (especially single phytoestrogen) and NAFLD. The purpose of this study was to explore the relationships between urinary phytoestrogen concentrations and NAFLD in American adults. This cross-sectional study used the data of the National Health and Nutrition Examination Survey from 1999 to 2010, and 2294 adults were finally enrolled in this study. The concentrations of phytoestrogens were measured in urine samples, and urinary phytoestrogens were divided into tertiles according to the concentration distributions. The diagnosis of NAFLD was determined by the United States fatty liver index. The main analysis used a multivariate logistic regression model. The fully adjusted models included gender, age, race, education, marriage, poverty, body mass index, waist circumference, smoking, diabetes, hypertension, total cholesterol, high-density lipoprotein cholesterol, triglycerides, and other five phytoestrogens. In the fully adjusted model, the urinary enterolactone (ENL) concentration was negatively correlated with NAFLD (OR of Tertile 3 : 0.48, 95% CI 0.25–0.94). When stratified by age and gender, the urinary ENL concentration was negatively correlated with NAFLD in males aged 40–59 years (OR of Tertile 3 : 0.08, 95% CI 0.01–0.82), while the urinary equol concentration was positively correlated with NAFLD in such population (OR of Tertile 3 : 4.27, 95% CI 1.02–17.85). In addition, a negative correlation between enterodiol (END) concentration and NAFLD was observed in males aged 60 years or over (OR of Tertile 2 : 0.18, 95% CI 0.05–0.69). Collectively, in middle-aged males, urinary ENL may be associated with a lower risk of NAFLD, while urinary equol may be related to a higher risk. In addition, urinary END has a possible relationship with a reduced risk of NAFLD in elder males. Definitely, clinical randomized controlled trials are needed to further verify the conclusions.
Which Has a Greater Impact on the Recurrence in Young Breast Cancer Patients: Recent Childbirth or Recent Breastfeeding?
Authors: Yan Caiyun , Bai Jianling , Bao Shengnan , Xia Yiqin , Yu Hao , Yin Yongmei
Published: March 2022

Purpose. This study explored the effects of recent childbirth and recent breastfeeding on the risk of recurrence in patients with postpartum breast cancer (PPBC). Materials and Methods. A bidirectional cohort study was conducted in the First Affiliated Hospital of Nanjing Medical University. 1013 young female breast cancer patients between May 2003 and October 2019 were enrolled. Breast cancer cases were grouped according to the time between giving birth or weaning and diagnosis. The end point of the analysis was disease-free survival (DFS). Results. Breast cancer patients diagnosed within 2 years after parturition showed more tumor characteristics that represented poor prognosis and remained at an increased risk for recurrence, even after adjusting for confounding factors (HR = 1.83,

p
=
0.035

). When the analysis was limited to patients with ER positive or histological grades I and II, they had a higher risk of recurrence. When weaning was used as the grouping node, patients diagnosed within 2 years after weaning did not show a higher risk of recurrence after adjustment, even when analysis was nearly limited to ER-positive patients. Conclusion. Recent reproductive history is an independent prognostic factor and seems to have a stronger impact on breast cancer with lower malignancy. In addition, the effect of recent childbirth on the recurrence of young breast cancer is significantly stronger than that of recent breastfeeding.
Antiosteoporosis Studies of 20 Medicine Food Homology Plants Containing Quercetin, Rutin, and Kaempferol: TCM Characteristics, In Vivo and In Vitro Activities, Potential Mechanisms, and Food Functions
Authors: Shen Dayue , Feng Yating , Zhang Xilan , Gong Le , Liu Jing , Li Yuanping , Liao Hui
Published: March 2022

Dietary nutraceutical compounds have been evidenced as backbone for bone health in recent years. It is reported that medicine food homology (MFH) plants have multiple nutraceutical compounds. Based on our literature research, 20 MFH plants caught our attention because they contain three popular antiosteoporosis compounds simultaneously: quercetin, rutin, and kaempferol. According to traditional Chinese medicine (TCM), their characteristics including natures, flavors, attributive to meridian tropism, and efficacies were listed. The relationships between TCM efficacies, such as “heat clearing,” “tonic,” and “the interior warming,” and antiosteoporosis pharmacological actions such as antioxidant and immune regulation were discussed. The in vivo antiosteoporosis effects of the 20 MFH plants were summarized. The in vitro antiosteoporosis activities and related mechanisms of the 20 plants and quercetin, rutin, kaempferol were detailed. The TGF-β-Smad signaling, fibroblast growth factor, and Wnt/β-catenin signaling on bone formation and the RANKL signaling, NF-κB signaling, and macrophage-colony-stimulating factor on bone resorption were identified. From food point, these 20 MFH plants could be classified as condiment, vegetable, fruit, tea and related products, beverage, etc. Based on the above discussion, these 20 MFH plants could be used as daily food supplements for the prevention and treatment against osteoporosis.
Statistical Calculation of Dense Crowd Flow Antiobscuring Method considering Video Continuity
Authors: Tao Huiqiang
Published: March 2022

People flow statistics have important research value in areas such as intelligent security. Accurately identifying the occluded target in video surveillance is a difficulty in the video surveillance system. Now the popular moving object tracking algorithm is based on detection and cannot accurately determine the relationship between overlapping. For the statistics of people flow in the video surveillance system, a dense crowd flow antiocclusion statistical algorithm considering video continuity is proposed. This study focuses on the improved faster R-CN algorithm for small target detection, moving target correlation matching, and two-way human flow intelligent statistics. According to the small-scale characteristics of the human head target, the faster R-CNNV network structure is adaptively improved. The shallow images features are used to improve the feature extraction ability of the network for small targets. The occlusion relationship function is constructed to clearly express the relationship between the occlusion targets, and it is incorporated into the framework of the tracking algorithm. A tracking algorithm based on trajectory prediction is used to follow moving targets in real time, and a two-way human flow intelligent statistical method is used to accomplish human flow. To prove the strength of the method, tests are managed in scenes with different degrees of density, and the results show that the improved target detection algorithm improves the average accuracy of 7.31% and 10.71% on the Brainwash test set and Pets2009 benchmark data set, respectively, compared with the original algorithm. The F-value of the comprehensive evaluation index of video stream of people intelligent statistical method in various scenes can reach more than 90%. Compared with the excellent methods SSD sorting algorithm and yolov3 deepsort algorithm in recent years, its F value is increased by 1.14%–3.04%.
Design of Children’s Pleasure Grounds in China’s Residential Areas Based on Signal Processing System
Authors: Li Shenqiao
Published: March 2022

As a significant children’s recreational facility, children’s pleasure ground not merely affects children’s mental health, but is closely bound up with children’s physical health and growth. 2-3 hours of outdoor activities every day is indispensable for children, especially for preschool children. Currently, China’s pleasure grounds are too commercialized, and the recreational facilities are monotonous and boring, which severely restricts children’s creativity and imagination. This paper aims to improve the design of children’s playgrounds in China based on the signal processing system and help designers design more helpful playgrounds for children in terms of space layout, facility standards, safety hazards, education, and other aspects.
Clinical Effect of Acupuncture Combined with Traditional Chinese Medicine Application on the Treatment of Functional Dyspepsia in Children and the Influence on Serum 5-HT and NO Levels
Authors: Li Junxia , Nie Qiuhua , Chen Hongyu
Published: March 2022

Objective. To explore the clinical effect of acupuncture combined with traditional Chinese medicine (TCM) application on the treatment of functional dyspepsia (FD) in children and the influence on serum 5-HT and NO levels. Methods. 94 FD children admitted to the pediatric department of our hospital from March 2019 to March 2020 were selected as the research object and divided into the study group (n = 45) and reference group (n = 49) by the number table method. The routine Western medicine therapy was given to the reference group and the combination therapy of acupuncture and TCM application was given to the study group to analyze the effect of different therapies on FD children by detecting their serum 5-hydroxytryptamine (5-HT) and nitric oxide (NO) levels and electrogastrogram (EGG) before and after treatment. Results. The sex ratio, mean age, mean duration of disease, mean weight, mean BMI value, and residence of children in the two groups were not significantly different (

P
>
0.05

); after treatment, the study group obtained significantly lower symptom scores and shorter disappearance time of clinical symptoms when comparing with the reference group (

P
<
0.001

); the total clinical effective rate of the study group was significantly higher than that of the reference group (

P
<
0.05

); the treated serum 5-HT and NO levels of children in both groups were significantly lower than those before treatment (

P
<
0.05

), and in the between-group comparison, those of the study group were significantly lower (

P
<
0.05

); and the treated AP, FP, and normal slow wave ratio of gastric antrum and body were significantly higher in the study group than in the reference group (

P
<
0.05

). Conclusion. The combination therapy of acupuncture and TCM application is a reliable method for improving the clinical symptoms in FD children. This strategy greatly reduces the levels of serum factors in child patients and shortens the corresponding treatment time. Further research will be conducive to establishing a better solution for such patients.
Research on E-Commerce Customer Feature Extraction Question Answering System Based on Artificial Intelligence Semantic Analysis
Authors: Niu Wenbo
Published: March 2022

In order to analyze e-commerce customer behavior and preference, a migration identification method of consumer behavior tendency is proposed. Data mining technology is adopted to mine social data in individual online we-media platforms and to mine individual personal attributes and preferences from their unconscious social language. Its methods are through the customer identification model construction related research, consumer preference identification and analysis related research, based on data mining technology of consumer preference identification and analysis, and the introduction of feature extraction method: semantic analysis. According to the data, there are 2,990 customer interest consumption forecasts, 1,836 customer social network data consumption forecasts, and 3,652 customer preference consumption forecasts. In order to screen out the main factors that have the greatest impact on consumer behavior from all kinds of consumer behavior propensity factors, the multiple step-based regression method is adopted for factor selection. Because of the large difference in the multidimensional dynamic vector, the corresponding consumer behavior tendency changes greatly, so the migration identification method of consumer behavior tendency is feasible.
Machine Learning Empowered Accurate CSI Prediction for Large-Scale 5G Networks
Authors: Uma Mageswari R. , Gousebaigmohammad  , Dulam Devee siva prasad , Shitharth S. , Surya Narayana G. , Suresh A. , JaikumarR  , Bojaraj Leena , Chandragandhi S. , GosuAdigo Amsalu
Published: March 2022

Wi-Fi networks rely on channel estimation to ensure their performance. The computational complexity and dependability of fifth generation telecommunication networks have significantly improved using supervised learning. In this paper, we develop a channel estimation model that uses a machine learning approach and the study uses multipath channel simulations for the estimation of channel state information (CSI) over arbitrary transceiver antennas. The simulation is conducted to test the efficacy of the model against various machine learning channel estimation models. The results of simulation show that the proposed model obtains increased channel estimation quality than other methods. Further, the bit error rate is recorded low among other methods using the machine learning model. Thus, it is seen that the proposed method achieves a reduced mismatch rate of

1.26
×

10

−
1.5

than other methodson Doppler frequency during channel estimation, where the mismatch rate is higher in existing methods.
Discrimination of Pakistani Fountain Pen Inks by Gas Chromatography-Mass Spectrometry (GC-MS)
Authors: Sharif Mehwish , Jalees Muhammad Irfan , Ali Shah Tirmazi Syed Azhar , Athar Muhammad Makshoof , Durrani Arjumand Iqbal , Batool Madeeha
Published: March 2022

In developing countries, the chances of fraud in written documents are comparatively high. Therefore, comparison of fountain pen inks is especially imperative in examination of forensic questioned documents. We have investigated the use of the gas chromatography-mass spectrometry technique in profiling and discrimination of fountain pen ink used in Pakistan for forensic purpose. The main purpose of this study was to discriminate different Pakistani fountain pen inks. The datum for Pakistani inks of fountain pen is not obtainable. In this research study, blue, black, and green colors fountain pen inks commercially used in Pakistan have been extracted from paper using micropunch and then investigated using the gas chromatography-mass spectrometry technique. Gas chromatography-mass spectrometry (GC-MS) was used to differentiate various brands of different colors of fountain pen inks based on their chemical composition. Molecular ion peaks for different components were obtained, and components were identified on the basis of detected ions. Results have been calculated and compared in terms of discriminating power (D.P.). The D.P. for blue, black, and green inks of fountain pen was 1.0 by using the gas chromatography-mass spectrometry technique.
[Retracted] Intervention Study of Dictyophora Polysaccharides on Arsenic‐Induced Liver Fibrosis in SD Rats
Authors: Wang Guoze , Zuo Peipei , Ding Kai , Zeng Qibing , Hu Ting , Wei Shaofeng , Luo Peng
Published: March 2022

Long‐term arsenic (As) exposure can cause liver injury, hepatic cirrhosis, and cancer. Meanwhile, Dictyophora polysaccharides (DIP) have excellent antioxidation, anti‐inflammation, and immune protection effects. There are currently few reports on the protection effects of DIP on As‐induced hepatotoxicity and its pharmacological value. Therefore, this study was aimed at elucidating the protection of DIP on As‐induced hepatotoxicity and exploring its preventive role in antifibrosis. In our study, the SD rat As poisoning model was established by the feeding method to explore the influence of As exposure on liver fibrosis. Then, DIP treatment was applied to the rats with As‐induced liver fibrosis, and the changes of serum biochemical indexes and liver tissue pathology were observed. And the expression of fibrosis‐related proteins TGF‐β1, CTGF, and α‐SMA levels was then determined to explore the DIP intervention function. The results demonstrated that through reduced pathological changes of hepatic and increased serum AST, ALT, TP, ALB, and A/G levels, DIP ameliorated liver fibrosis induced by As as reflected. And the administration of DIP decreased the concentration of HA, LN, PCIII, CIV, TBIL, and DBIL. In addition, the synthesis of TGF‐β1 inhibited by DIP might regulate the expression of CTGF and decrease the proliferation of fibrinogen and fibroblasts, which reduced the synthesis of fibroblasts to transform into myofibroblasts. And a decrease of myofibroblasts downregulated the expression of α‐SMA, which affected the synthesis and precipitation of ECM and alleviated the liver fibrosis caused by exposure to As. In conclusion, based on the pathological changes of liver tissue, serum biochemical indexes, and related protein expression, DIP can improve the As‐induced liver fibrosis in rats and has strong medicinal value.
GC-MS Analysis and Various In Vitro and In Vivo Pharmacological Potential of Habenaria plantaginea Lindl.
Authors: Mahnashi Mater H. , Alqahtani Yahya S. , Alyami Bandar A. , Alqarni Ali O. , Ahmed Alshrahili Mohammad , Abou-Salim Mahrous A. , Alqahtani Mohammed N. , Mushtaq Sadaf , Sadiq Abdul , Jan Muhammad Saeed
Published: March 2022

Background. The current study aims to give a scientific origin for employing Habenaria plantaginea Lindl. as a potential candidate against nociception, inflammation, and pyrexia. The pharmacological studies were performed on crude extract and subfractions. In the gas chromatography-mass spectroscopy analysis, a total of 21 compounds were identified. The plant samples were displayed for in vitro anti-inflammatory potentials. The observed IC50 for chloroform against cyclooxygenase-2 and 5-lipoxygenase enzymes was 33.81 and 26.74 μg/mL, respectively. The in vivo activities were prerequisites with the acute toxicity studies. In carrageenan-induced inflammation, the chloroform fraction exhibited 46.15% inhibition similar to that of standard drug diclofenac sodium 47.15%. Likewise, in the acetic acid-induced writhing test, the ethyl acetate fraction displayed 71.42% activity, which was dose-dependent as that of standard drug. In Brewer’s yeast-induced antipyretic activity, a significant decrease in rectal volume was observed after 30, 60, and 90 minutes. Moreover, the results of this study indicated that the chloroform and ethyl acetate fractions inhibited nociception, inflammation, and pyrexia dose dependently. Likewise, mechanistic insights indicated that naloxone antagonized the antinociceptive effect of chloroform and ethyl acetate fractions, thereby signifying the involvement of opioidergic mechanisms respectively. These results suggest that these molecules present in this plant have synergistically beneficial potential for the cure and management of analgesia, inflammation, and pyrexia.
Value Chain and Technology-Based Complexity Analysis of China’s Manufacturing Exports
Authors: Zhang Xiguang
Published: March 2022

In recent years, China’s manufacturing industry has developed rapidly, but numerous studies have shown that China is not a manufacturing powerhouse. In recent years, the division of labor in global value chains has been booming, and the Chinese manufacturing industry has been actively integrated into it with its labor cost advantage and achieved rapid development. There is an urgent need to transform and upgrade to high value-added links in the value chain. This paper measures the upstream degree of China’s manufacturing industry through the world input-output table and uses it as an indicator to measure the global value chain status, focusing on the heterogeneous impact of different types of productive services on the upgrading of China’s manufacturing industry’s global value chain status. This study examines the impact of global value chain boundary lessness and institutional quality on the technological complexity of China’s equipment manufacturing exports, using panel data of six types of Chinese equipment manufacturing industries from 2007 to 2018 as a sample. The findings show that intermediate manufactured goods from intermediate imports and intermediate products from developing economies make the strongest contribution to imported intermediate manufactured goods from developing economies. By industry, the impact areas of Graph Visualization (GV) embedding and institutional quality are different. GV embedding has a stronger contribution to the manufacturing of communication, computer, and other electronic equipment, while institutional quality has a stronger contribution to the manufacturing of special office machinery, and the interaction between the two is the same as that of institutional quality.
Predicting Hypertensive Disease in the First Trimester of Pregnancy: Risk Models and Analysis of Serum D‐dimer Levels Combined with Plasma Pregnancy‐Associated Protein A, Free β‐Subunit of Human Chorionic Gonadotropin, and Fetal Nuchal Translucency
Authors: Chen Yiming , Ning Wenwen , Chu Xuelian , Chen Yijie , Gu Linyuan , Xie Zhen , Li Liyao , Wen Caihe , Wang Xiaoying
Published: March 2022

We aimed to investigate the predictive ability of serum levels of D‐dimer (DD) in the first trimester for the occurrence of hypertensive disorders of pregnancy (HDP). In this retrospective, case‐cohort study, we measured the levels of DD, plasma pregnancy‐associated protein A (PAPP‐A), and free β‐subunit of human chorionic gonadotropin (free β‐hCG) and analyzed fetal nuchal translucency (NT) in 150 healthy gravidas, 126 cases of gestational hypertension (GH), 53 cases of preeclampsia (PE), and 41 cases with severe preeclampsia (SPE). Likelihood ratio models and risk models were built using single markers (DD, PAPP‐A, free β‐hCG, and NT) and combinations of those markers. Analyses showed that the levels of DD multiple of the median (MoM) in the GH, PE, and SPE groups were all significantly higher than those in the control group, with significant differences between groups (χ2 = 70.325, P < 0.001). The area under curve (AUCs) for DD in the GH, PE, and SPE groups was 0.699, 0.784, and 0.893, respectively; the positive likelihood ratio (+LR) was 1.534, 1.804, and 2.941, respectively; and the negative likelihood ratio (‐LR) was 0.022, 0.081, and 0, respectively. When the cut‐off values of DD for the GH, PE, and SPE groups were 0.725, 0.815, and 0.945 MoM, respectively, the corresponding sensitivities were 0.992, 0.962, and 1.000, respectively. As gestational hypertension progressed, the levels of DD tended to increase gradually. The maternal serum level of DD in the first trimester had correlative and diagnostic value for HDP. The sensitivity and specificity of maternal serum levels of DD level in the first trimester for different types of HDP were significantly different; the best sensitivity and specificity were detected in the SPE group. First trimester DD level, combined with other biochemical markers, may improve our ability to diagnose HDP.
Prediction of Vocational Education Coursework Assessment Results Based on the Simulated Annealing Neural Network
Authors: Gao Yan , Tan Aidi , Wei Yanping
Published: March 2022

In order to improve the predictive effect of vocational education assessment results and provide a reliable boundary assessment platform for vocational education, this paper uses the simulated annealing neural network algorithm to process vocational education assessment data. Moreover, this article uses the SA algorithm based on the simulated annealing fish school algorithm (SAFSA) in the local search in the later stage of the AFSA algorithm to help the AFSA algorithm jump out of the local optimal solution. Finally, this article combines the improved algorithm to construct a simulated annealing neural network algorithm and builds a vocational education coursework assessment result prediction system, which verifies the prediction effect and assessment effect of this system through experimental research.
Outcomes of Patients with Cervical Spinal Cord Injury Treated by Surgery and Their Prognostic Factors
Authors: Wu Xinfeng , Song Qingpeng , Jin Peihao , Liu Bo
Published: March 2022

Objective. To investigate the outcomes of patients with cervical spinal cord injury treated by surgery and their prognostic factors. Methods. We retrospectively analyzed 139 patients with cervical spinal cord injury treated by surgery at our hospital, who were admitted between January 2017 and December 2018. Depending on the Barthel index at last follow-up, the patients were divided into the recovery group (

n
=
60

, Barthel

index
>
45

) and the nonrecovery group (

n
=
79

, Barthel

index
≤
45

). General information of patients in the two groups was compared. The significant factors were further introduced into the logistic regression model. The poor prognostic factors of cervical spinal cord injury treated by surgery were analyzed, and specific nursing measures were taken. Results. There were significant differences in the duration of injury before admission, duration of injury before surgery, transportation and protection before admission, spinal canal invasion rate, and hormonal therapy within 8 h after injury between the patients achieving good postoperative recovery and those not (

P
<
0.05

). Logistic regression analysis showed that all the factors above were prognostic factors for cervical spinal cord injury treated surgically. Conclusion. The duration of injury before admission, duration of injury before surgery, transportation and protection before admission, spinal canal invasion rate, and hormonal therapy within 8 h after injury were prognostic factors of patients with cervical spinal cord injury treated by surgery. The following factors should be considered for favorable outcomes: spinal protection during transportation to hospital, timely hormonal shock therapy to delay injury progression, and timely surgery to relieve pain. The spine is composed of cervical, thoracic, lumbar, sacral, and caudal vertebrae.