bluuebunny/crossref_metadata_2025 huggingface dataset:
Prevalence of Asthma among Norwegian Elite Athletes
Authors: Støle Melsom Helene , Randa Anders , Hisdal Jonny , Stang Julie Sørbø , Stensrud Trine
Published: July 2022

Objective. Asthma is a common problem among elite athletes and represents a health risk interfering with the athlete’s performance status. This study aimed to evaluate the asthma prevalence among Norwegian summer and winter elite athletes and asthma prevalence across sport categories. We also aimed to examine whether bronchial hyperresponsiveness (BHR), lung function, fraction of exhaled nitric oxide (FENO), and allergy status differed between asthmatic and non-asthmatic elite athletes. Methods. Norwegian athletes qualifying for the Beijing Olympic Summer Games 2008 (n = 80) and the Vancouver Olympic Winter Games 2010 (n = 55) were included. The athletes underwent clinical respiratory examination including lung function measurement, methacholine bronchial challenge for assessment of BHR, FENO, and skin prick testing. Asthma was diagnosed based on respiratory symptoms and clinical examination including objective measurements. Results. Asthma was more prevalent among winter athletes (50%) than summer athletes (20%). Thirty-three (52%) endurance athletes, 3 (6%) team sport athletes, and 7 (33%) technical sport athletes had medically diagnosed asthma. Significantly lower lung function (

p
<
0.001

) and higher prevalence of severe BHR (

p
<
0.001

) were found in asthmatic athletes compared with non-asthmatic athletes. Conclusion. Asthma is common among Norwegian elite athletes, with winter and endurance athletes showing the highest prevalence. Asthmatic athletes were characterized by lower lung function and more severe BHR compared with non-asthmatic counterparts. The high prevalence among winter and endurance athletes demonstrates a need for increased attention to prevent and reduce the prevalence of asthma among those athletes.
Effect of Ejiao (Asini Corii Colla) and Turtle Carapace Glue on Gut Microbiota in Nude Mice with Uterine Fibroids Based on High-Throughput Sequencing of 16SrRNA Gene
Authors: Qiu Jia-Rou , Yang Ming-Yao , Ma Ye-Lin , Yang Min-Chun
Published: July 2022

Objective. To observe the effects of Asini Corii Colla, turtle carapace glue, and other drugs on the intestinal flora of nude mice with uterine fibroids model, so as to provide evidence for the clinical application of drugs. Methods. Set up five groups: blank control group, turtle carapace glue group, turtle carapace glue and ejiao 4 : 1 mixed group, turtle carapace glue and ejiao 1 : 1 mixed group, and turtle shell glue and Salvia miltiorrhiza (danshen) 1 : 1 mixed group. Then, the model nude mice were fed ejiao, turtle carapace glue, and other corresponding drugs. Before administration, 2 weeks after administration, and 4 weeks after administration, the feces of the model nude mice were taken respectively, subpacked into labeled cryotubes, and stored at −80°C. All samples were sent for gene sequencing after completion. The differences in gut microbiota and abundance in different groups were compared by 16SrRNA segment sequencing. Results. ① There were differences in flora composition and a relative abundance among the groups, but the strains with a high relative abundance were Bacteroides, Firmicutes, and Proteobacteria; ② there were significant differences in the community structure and composition of intestinal flora between nude mice treated for 4 weeks and those not treated (

p
<
0.05

); ③ after 4 weeks of administration, the relative abundance of Bacteroidetes in each group was higher than that before administration, and the relative abundance of Firmicutes decreased. Conclusion. Asini Corii Colla, turtle carapace glue, and other drugs with different compatibility ratios can change the composition of intestinal flora in nude mice with uterine fibroids to a certain extent; the decrease in the relative abundance of Firmicutes and the increase in the relative abundance of Bacteroidetes were important structural changes of intestinal flora in nude mice at 4 weeks after administration.
The Integrated Development of Tourism and Cultural and Creative Industries Based on Smart City Cloud Service Information System
Authors: Yan Jie , Li Zhenhua
Published: July 2022

In response to the integration of tourism and media, this paper proposes research on the integration of tourism and its practice, leadership, and creative business based on smart city weather information. Based on this research, a systematic investigation and evaluation of smart city tourism competition models are conducted to accurately measure and influence the growth and competitiveness of smart cities, build smart tourism cities, and bring health benefits. Build China’s smart tourism city and enhance the international competitiveness of China’s tourism industry. Second, develop a measurement process. As for the evaluation criteria of tourism competitiveness of smart tourism cities, this paper mainly adopts the methods of single index evaluation and expert experience scoring. Select single indicators, especially quantitative indicators, and evaluate about relevant national, local, and industrial standard values. For qualitative indicators, based on the determination of relevant weights, five grades I, II, III, IV, and V are adopted, with a total score of 100, and the corresponding scores of the five grades are ≤50, 50–59, 60–69, 70–89, and ≥90, so as to determine the evaluation standard of smart Tourism city. The research shows that the research on the integration of tourism industry and cultural and creative industry based on smart city weather data is effective.
Clinical and Aberrometric Evaluation of a New Monofocal IOL with Intermediate Vision Improvement
Authors: Bova Alessandro , Vita Stefano
Published: July 2022

Purpose. The aim of the study was to evaluate the visual outcomes, aberrometric results, and subjective and objective optical qualities 12 months after implantation of a new monofocal intraocular lens (Physiol IsoPure 1.2.3) in comparison with a standard monofocal intraocular lens (Tecnis PCB00). Materials and Methods. Cataract patients without ocular comorbidities had bilateral implantation of the IsoPure IOL or the PCB00 IOL. One month after eye surgery, the visual acuity and monocular defocus curve were assessed. Twelve months after surgery, the visual acuity, binocular defocus curve, contrast sensitivity, and subjective/objective optical quality were assessed. Furthermore, wavefront analysis was performed. The primary endpoint was the best distance correct/uncorrected visual acuity at intermediate and far distances. The secondary endpoint was an aberration evaluation of the IOLs and contrast sensitivity. Results. The study comprised a total of 42 patients (84 eyes). Monocular and binocular uncorrected and corrected distance were similar between groups, and uncorrected intermediate visual acuity was significantly higher in the IsoPure group. There was no difference in contrast sensitivity and subjective and objective optical qualities. The optical aberrations at 3.0 and 5.0 mm aperture diameters were similar in both groups. Conclusion. The IsoPure IOL, based on greater depth of focus than the aspheric monofocal IOL, may offer a good option for the distance and intermediate vision without increasing optical aberrations and any photic phenomena.
No Effect on Tumorigenesis in MG63 Cells Induced by Co-Cultured Mesenchymal Stem Cells
Authors: Xing Xin , Hu Yue-Hua , Wang Yan , Shao Yi , Zou Min
Published: July 2022

Osteosarcoma is a kind of bone tumor with an extremely high malignant degree and often occurs in adolescents. Mesenchymal stem cells are believed to play an important role in the microenvironment of osteosarcoma, but whether they promote or inhibit the development of osteosarcoma is controversial. In this study, the coexpression of mesenchymal stem cells (MSCs) with osteosarcoma cell MG63 was used to explore the effect of MSCs on MG63. We found that co-culture of MSCs with MG63 did not affect the proliferation, invasion, and migration of MG63 cells, nor did it significantly affect the epithelial- and glial-mesenchymal transformation of MG63 cells. Therefore, in this study, we obtained a new concept that MSCs neither promote nor inhibit the occurrence and development of osteosarcoma.
The Relationship between Meniere’s Disease and Acute Low-Tone Sensorineural Hearing Loss
Authors: Li Yuemei , Lv Zhe , Han Haixia , Jia Xiaofang , Guo Lijiao
Published: July 2022

Objective. To analyse the vestibular function characteristics of patients with Meniere's disease and acute hypophonic sensorineural hearing loss in order to find more reliable and objective ancillary tests that will reduce misdiagnosis and missed diagnoses. Methods. From January 2021 to December 2021, 60 healthy adults who underwent physical examination in our hospital were included in the control group, 60 patients with Meniere's disease were included in Study Group A, and 60 patients with acute low-tone sensorineural hearing loss were recruited in Study Group B. All participants underwent the caloric test (CT), video-head impulse test (vHIT), headshaking test (HST), and vestibular-evoked myogenic potential (VEMP) testing, which includes ocular vestibular-evoked myogenic potential (oVEMP) and cervical vestibular-evoked myogenic potential (cVEMP). Results. Statistical analyses of unilateral weakness and directional preponderance (DP) in the two groups of patients found no significant differences between the two groups (

P
>
0.05

). There was no statistically significant difference in the abnormal rate of vHIT and HST results between the two study groups (

P
>
0.05

). There was no significant difference in the wave latencies, interwave intervals, and amplitudes of cVEMP and oVEMP, among the three groups (

P
>
0.05

). Conclusion. This study found that factors affecting CT, vHIT, HST, and VEMP results included age, head posture and position during testing, stimulus type, manipulation method, and control of muscle tone, and also those that are related to the testing instrument, statistical software, and manipulation procedures, resulting in different excitation rates and testing parameters. The small sample size prevented a comprehensive assessment of the differences in vestibular function between patients with Meniere's disease and acute hypotonic sensorineural hearing loss, and a larger sample size will be investigated in the future to provide useful insight into the diagnosis, treatment and differentiation of Meniere’s disease, and acute hypotonic sensorineural hearing loss.
[Retracted] A Cohort Study on the Safety and Efficacy of Warfarin and Rivaroxaban in Anticoagulant Therapy in Patients with Atrial Fibrillation Study
Authors: Wang Li , Yao Wentao
Published: July 2022

Objective. To observe the safety and efficacy of warfarin and rivaroxaban in anticoagulation therapy in patients with atrial fibrillation (AF). Methods. A total of 96 patients with AF treated in our hospital from June 2019 to February 2021 were enrolled in this study. According to the different modes of drug administration, the patients were divided into the warfarin group and rivaroxaban group. Demographic and clinical data such as age, body weight, and previous drug use were collected. The blood routine, liver and kidney function, blood coagulation routine, and cardiac color ultrasound were accessed. The valvular atrial fibrillation and anticoagulant taboos were excluded, and the risk of embolism and bleeding was evaluated. Among them, 48 patients in the warfarin group were given warfarin once a day, and the international ratio (INR) was used to adjust the dose, and the INR was controlled between 2.0 and 3.0. In contrast, 48 patients in the rivaroxaban group received a fixed dose of rivaroxaban 20 mg or 15 mg once a day. After administration, regular telephone or outpatient follow‐up was given once a month, to monitor patients’ drug compliance and ask if there was bleeding, and to detect blood routine, urine routine, fecal routine+occult blood, and liver and kidney function. In addition, at the beginning of 3, 6, and 12 months of follow‐up, each patient was given cardiac color Doppler ultrasound, peripheral vascular color ultrasound, and brain CT to determine whether there were mural thrombosis, stroke, and peripheral arterial thromboembolism. The INR attainment rate, coagulation index, thromboembolism, bleeding, and adverse reactions were compared between the two groups. Results. There was no significant difference in serum Dmurd and NT‐proBNP levels between the two groups before treatment and 3, 6, and 9 months after treatment. There was no significant difference in the number of venous embolism, pulmonary embolism, cerebral embolism, and total embolism between the two groups (P > 0.05). There was no significant difference in the number of mild, moderate, and severe bleeding between the two groups (P > 0.05), but the total number of bleeding in the rivaroxaban group was lower than that in the warfarin group (P < 0.05). During the treatment, side effects such as nausea and vomiting, elevated transaminase, glutamyl transpeptidase, and diarrhea occurred between the two groups, and there was no significant difference in the number of adverse reactions between the two groups (P > 0.05). Conclusion. Compared with warfarin, rivaroxaban anticoagulant therapy has the same advantage in tolerance and prevention of thromboembolism in patients with AF, but rivaroxaban can effectively reduce the risk of bleeding in patients with AF.
Analysis of Observed Trends in Daily Temperature and Precipitation Extremes in Different Agroecologies of Gurage Zone, Southern Ethiopia
Authors: Dendir Zelalem , Birhanu Belay Simane
Published: July 2022

Ethiopian climate-sensitive economy is particularly vulnerable to the effects of climate-related extreme events. Thus, examining extreme daily precipitation and temperature in the context of climate change is a critical factor in advocating climate change adaptation at the local scales. Spatial changes of climate indices for extreme precipitation and temperatures were conducted for the period 1986–2016 in three different agroecologies of the Gurage zone, Southern Ethiopia. The study used the Mann–Kendall (MK) test and Sen’s slope estimator to estimate the trend and magnitude of changes in precipitation and temperature. The analysis from the observation indicates that there had been a consistent warming trend and inconsistent changes in precipitation extremes in the study agroecologies. A statistically significant increase in the numbers of warm days and nights and a statistically significant reduction in the numbers of cold days and nights were observed in most of the agroecologies. The duration of extreme trend showed inconsistency; however, a drier condition is observed in lowland agroecology. Therefore, based on the findings of this study, appropriate climate adaptation efforts are needed at the local scale.
Statistical Feature-Based Personal Information Detection in Mobile Network Traffic
Authors: Zhao Shuang , Chen Shuhui , Wei Ziling
Published: July 2022

With the popularity of smartphones, mobile applications (apps) have penetrated the daily life of people. Although apps provide rich functionalities, they also access a large amount of personal information simultaneously. As a result, privacy concerns are raised. To understand what personal information the apps collect, many solutions are presented to detect privacy leaks in apps. Recently, the traffic monitoring-based privacy leak detection method has shown promising performance and strong scalability. However, it still has some shortcomings. Firstly, it suffers from detecting the leakage of personal information with obfuscation. Secondly, it cannot discover the privacy leaks of undefined type. Aiming at solving the above problems, a new personal information detection method based on traffic monitoring is proposed in this paper. In this paper, statistical features are designed to depict the occurrence patterns of personal information in the traffic, including local patterns and global patterns. Then a detector is trained based on machine-learning algorithms to discover potential personal information with similar patterns. Since the statistical features are independent of the value and the type of personal information, the trained detector is capable of identifying various types of privacy leaks and obfuscated privacy leaks. As far as we know, this is the first work that detects personal information based on statistical features. Finally, the experimental results show that the proposed method could achieve better performance than the state-of-the-art.
Sirtuin 4 Inhibits Prostate Cancer Progression and Metastasis by Modulating p21 Nuclear Translocation and Glutamate Dehydrogenase 1 ADP-Ribosylation
Authors: Mao Liang , Hong Xi , Xu Luwei , Wang Xinning , Liu Jingyu , Wang Hao , Qian Yiguan , Zhao Jun , Jia Ruipeng
Published: July 2022

Protein posttranslational modification regulates several biological mechanisms, including tumor progression. In this study, we show that the mitochondrial Sirtuin 4 (SIRT4), which has ADP-ribosylation activity, plays a role in prostate cancer (PCa) progression. Firstly, SIRT4 expression was verified in PCa tissues and cell lines by quantitative real-time PCR (qRT-PCR) and western blotting. Subsequently, we established stable PC-3 and 22rv1 cells that overexpressed SIRT4 and knocked down SIRT4, respectively. The functions of SIRT4 in PCa were explored through various phenotype experiments. The mechanism underlying the functions of SIRT4 was investigated through western blotting, immunoprecipitation, immunofluorescence, and nuclear and cytoplasmic extraction assays. We revealed that SIRT4 inhibited cell progression both in vivo and in vitro. Mechanistically, on the one hand, SIRT4 promoted the ADP-ribosylation of glutamate dehydrogenase 1 to inhibit the glutamine metabolism pathways. On the other hand, SIRT4 inhibited the phosphorylation of AKT, thereby affecting p21 phosphorylation and its cellular localization for cell cycle arrest. In conclusion, our study indicates that SIRT4 is directly associated with PCa progression and could be a novel target for PCa therapy.
Hsa-let-7c-5p, hsa-miR-130b-3p, and hsa-miR-142-3p as Novel miRNA Biomarkers for Melanoma Progression
Authors: Wu Xuerui , Wang Yu , Chen Chen , Xue Yadong , Zheng Shuyun , Cai Limin
Published: July 2022

This study aimed to screen miRNA biomarkers for melanoma progression. Raw melanoma data were downloaded from the Gene Expression Omnibus (GSE34460, GSE35579, GSE18509, and GSE24996) and the Cancer Genome Atlas (TCGA). Then, all differentially expressed miRNAs (DEmiRNAs) between benign vs. primary, metastatic vs. benign, and metastatic vs. primary groups were obtained in the GSE34460 and GSE35579 datasets, and the miRNAs related to disease progression were further screened. Then, the miRNA-gene network was constructed, followed by enrichment, survival, and cluster analyses. Differentially expressed genes (DEGs), tumor-infiltrating immune cells, and tumor mutation burden (TMB) between subtypes were analyzed. miRNAs were verified in the GSE18509 and GSE24996 datasets. A total of 132 and 209 DEmiRNAs were obtained in the GSE34460 and GSE35579 datasets, respectively, and 27 DEmiRNAs related to disease progression were screened. hsa-miR-106b-5p, hsa-miR-27b-3p, and hsa-miR-141-3p had a higher degree and were regulated by numerous genes in the miRNA-gene network. Moreover, four miRNAs were associated with prognosis: hsa-let-7c-5p, hsa-miR-130b-3p, hsa-miR-142-3p, and hsa-miR-509-3p. Furthermore, the bidirectional hierarchical clustering of 27 miRNAs was classified into three subtypes, and TMB and four types of immune cells, including activated dendritic cells, naïve CD4 T cells, M1 macrophages, and plasma cells, showed significant differences among the three subtypes. The expression levels of most miRNAs in the GSE18509 and GSE24996 datasets were consistent with those in the training dataset. These miRNAs, including hsa-let-7c-5p, hsa-miR-130b-3p, and hsa-miR-142-3p, and activated dendritic cells, naïve CD4 T cells, M1 macrophages, and plasma cells may play vital roles in the pathogenesis of melanoma.
Experimental Investigation on the Average Surface Roughness (Ra) of AlSi10Mg Alloy Manufactured by Laser Powder Bed Fusion Method
Authors: Refaai Mohamad Reda A. , Prakash D. , K G Jaya Christiyan , Prasad DVSSSV , Archana E. , Shata Agegnehu Shara
Published: July 2022

AlSi10Mg alloy is an extensively utilised material having good mechanical qualities. The laser powder bed fusion procedure has been applied for fabricating the aluminium alloy (AlSi10Mg) plates in this research. Different exposure periods and scan techniques were applied in this work to measure the average roughness. Results demonstrate that the energy density grew and roughness reduced at first and then improved. Furthermore, there were considerable differences in roughness throughout the created faces. At 125 J/mm3 and 180 J/mm3, excellent surface quality was attained. By this experiment, it was noticed that the direction of scan, wiper movement, and gas flow are the key parameters.
The Reality of Distant Education and Its Contributions to University Education in Saudi Arabia: Prince Sattam Bin Abdulaziz University as a Model
Authors: Al-Dosari Issa Bin Khalaf
Published: July 2022

This study examines distance education at Saudi Arabia’s Prince Sattam Bin Abdulaziz University. So, 705 faculty members were picked from 2114 study participants. The primary data of the effective study tool was processed quantitatively descriptively (the questionnaire). The study indicated that the sample members agreed on distance education requirements to tackle university educational difficulties. The average sample member approval of distance education barriers was 3.25 with a 0.54 standard deviation. The research sample approval for distant education in university academic challenges was 2.92 with a standard deviation of 0.35. As a result of the gender variable in the (requirements-contributions) dimensions, there were statistically significant differences (α ≤ 0.05) in the study sample’s average responses concerning the requirements, hurdles, and contributions of distant education to address university educational crises. In all categories, scientific specialization did not cause statistically significant changes (≤0.05). No statistically significant differences at the significance level (α ≤ 0.05) were attributed to the effect of scientific rank in the (obstacles-contributions) dimensions only, while the significance of the statistical estimate for the impact of scientific rank on the requirements dimension only favored an assistant professor. In the dimensions (requirements and obstacles), only the experience variable showed statistically significant variations (α ≤ 0.05). The essential study proposal is to establish a qualitative strategy to achieve comprehensive quality requirements for remote education programs, provide a supportive administrative environment, and increase faculty knowledge and efficiency in distance education to prevent educational crises.
Sign-Changing Solutions for Biharmonic Equations with Navier Boundary Conditions
Authors: Jiang Ruiting
Published: July 2022

This work is concerned with sign-changing solutions to the biharmonic equation with Navier boundary conditions. By using the method of invariant sets of descending flow and symmetric mountain pass lemma, we obtain the existence of multiple sign-changing solutions when the nonlinear term is odd.
The Feasibility Mechanism of Nerve Interventional Thrombectomy for Occlusion of Cranial Artery M1 and M2 Segments
Authors: Fang Xiang , Liao Taijian , Chen Junhui , Wu Juan , Xu Biyu
Published: July 2022

This study was aimed at exploring the feasibility and clinical efficacy of nerve interventional thrombectomy (NIT) to treat occlusion of cranial artery M1 and M2 segments. 80 patients were selected and rolled into a control group (intravenous thrombolysis) and an experimental group (NIT). Patients’ vascular recanalization rates following therapy were compared, and the National Institutes of Health Stroke Scale (NIHSS) was used to measure neurological function. The improvement in hemodynamics and the occurrence of adverse responses were compared. The results showed that the experimental group’s recanalization rate was up to 74.23%, which was significantly greater than the control group’s (

P
<
0.05

). One week after treatment, the neurological function scores in both groups decreased, and the score in the experimental group was only 15.23, which was much lower than that in the control group (

P
<
0.05

). The peak systolic flow rates of the basilar artery, internal carotid artery, and common carotid artery in the experimental group were 132 cm/s, 147 cm/s, and 114 cm/s, respectively, which were lower greatly than those in the control group (

P
<
0.05

). There was no significant difference in incidence of adverse reactions between the two groups (

P
>
0.05

). In summary, NIT showed a significant therapeutic effect on cranial artery occlusion of M1 and M2 segments, can dredge the occluded blood vessels, and effectively improve the neurological deficits of patients, showing reliable feasibility.
Marketing Archive Management of Drama Intangible Cultural Heritage Based on Particle Swarm Algorithm
Authors: Li Cenxi , Liu Boya
Published: July 2022

Each Chinese region has its own ancient opera, which is a treasure of folk culture and a living fossil for studying the historical origins of a local culture. It has significant academic value and historical significance at the national and local levels, whether from the perspective of promoting and disseminating national culture or from the perspective of protecting the world’s intangible cultural heritage. Based on this practical significance, this paper conducts a study using the particle swarm algorithm to manage the marketing archives of drama intangible cultural heritage. The article employs the PSO algorithm to test the particle swarm optimization algorithm’s convergence and conditions. The effectiveness of the algorithm is analysed in the Sphere function, Rosenbrock function, Griewanks function, and Rastrigin noncont function, and then the algorithm is compared, including the calculation speed comparison between the algorithm in this paper and the three optimal fitness functions. The experimental results show that the PSO algorithm has the highest four items in the statistics of the Schwefel function experimental results. About 45.0379 is the best value and 70.5878 is the maximum precision. The optimal average value is 6.1524, while the average value is 56.15245. In comparison to the QPSO and PSO algorithms, the algorithm in this paper has a faster convergence speed and better search accuracy. The topic of the intersection of the disciplines of drama, intangible cultural heritage marketing, and archive management using the particle swarm algorithm is well-developed.
A Study on the 3D Hopfield Neural Network Model via Nonlocal Atangana–Baleanu Operators
Authors: Rezapour Shahram , Kumar Pushpendra , Erturk Vedat Suat , Etemad Sina
Published: July 2022

Hopfield neural network (HNN) is considered as an artificial model derived from the brain structures and it is an important model that admits an adequate performance in neurocomputing. In this article, we solve a dynamical model of 3D HNNs via Atangana–Baleanu (AB) fractional derivatives. To find the numerical solution of the considered dynamical model, the well‐known Predictor‐Corrector (PC) method is used. A number of cases are taken by using two different sets of values of the activation gradient of the neurons as well as six different initial conditions. The given results have been perfectly established using the different fractional‐order values on the given derivative operator. The objective of this research is to investigate the dynamics of the proposed HNN model at various values of fractional orders. Nonlocal characteristic of the AB derivative contains the memory in the system which is the main motivation behind the proposal of this research.
Selenium Status and Its Antioxidant Role in Metabolic Diseases
Authors: Huang Jing , Xie Ling , Song Anni , Zhang Chun
Published: July 2022

Selenium (Se), in the form of selenoproteins, is an essential micronutrient that plays an important role in human health and disease. To date, there are at least 25 selenoproteins in humans involved in a wide variety of biological functions, including mammalian development, metabolic progress, inflammation response, chemoprotective properties, and most notably, oxidoreductase functions. In recent years, numerous studies have reported that low Se levels are associated with increased risk, poor outcome, and mortality of metabolic disorders, mainly related to the limited antioxidant defense resulting from Se deficiency. Moreover, the correlation between Se deficiency and Keshan disease has received considerable attention. Therefore, Se supplementation as a therapeutic strategy for preventing the occurrence, delaying the progression, and alleviating the outcomes of some diseases has been widely studied. However, supranutritional levels of serum Se may have adverse effects, including Se poisoning. This review evaluates the correlation between Se status and human health, with particular emphasis on the antioxidant benefits of Se in metabolic disorders, shedding light on clinical treatment.
Analyzed and Simulated Prediction of Emission Characteristics of Construction Dust Particles under Multiple Pollution Sources
Authors: Liu Wei , Huang Xiaohui , Chen Huapeng , Han Luyao
Published: July 2022

Dust pollution in construction sites is an invisible hazard that is often ignored as a nuisance. Regulatory and engineering control methods are predominantly used for its mitigation. To control dust, dust-generating activities and their magnitudes need to be established. While researchers have comprehensively studied dust emissions of construction work, prediction of dust concentrations based on work phases and climatic conditions is still lacking. To overcome the above knowledge gap, this article selected two construction stages of a project to monitor dust generation using the HXF-35 dust sampler. Based on the collected data, dust emission characteristics of these two stages are studied, and dust emission characteristics under multiple pollution sources are analyzed. Based on the results, a BP neural network model is built to perform simulations of dust emission concentrations in different work areas and predict construction dust concentrations under different conditions. Except few, the majority of the work areas monitored have exceeded the allowable upper limit of TSP concentration stipulated by relevant standards. In addition, dust emission differences of work areas are pronounced. The results verified that the BP neural network dust concentration prediction model is feasible to be used to predict dust concentration changes in different work faces under different climate conditions and to provide a scientific base for pollution control. This study provides several practical solutions where the prediction of dust concentrations at designated work areas will allow construction companies early warning to implement mitigation measures before it becomes a serious health hazard. In addition, it provides an opportunity to re-evaluate those hazardous work in the light of these revelations. The outcome of this study is both original and useful for both construction companies and regulatory agencies. It can better predict the concentration of construction dust in different operating areas and different weather conditions and provide a guide for the prevention and control of construction dust.
Integrity Testing of a Platform‐Pile System Using a Sensor Array and Wavenumber Domain Analysis
Authors: Fu Minghui , Lin Meihong
Published: July 2022

Appropriate impact and sensor locations must be chosen in pile integrity tests to prevent three‐dimensional effects caused by the torsional and flexural modes. The three‐dimensional characteristics cause high‐frequency interference, especially in bridge and wharf piles. A method is required to minimize the high‐frequency interference without reducing the accuracy of the pile integrity test. A multivelocity integrity test method is proposed based on a sensor array and frequency‐wavenumber (FK) domain analysis to eliminate high‐frequency interference and reduce the errors in the output of integrity tests of platform‐pile systems. FK filtering is performed to eliminate the spatial alias frequency and separate the upward and downward wavefield and the vibration modes in an integrity test of a platform‐pile system. The optimum sensor location to minimize the influence of interference signals is at the bending plane relative to the impact location. Using a sensor array reduces the influence of the sensor location on the test results and minimizes the requirements for determining the location of the excitation point and sensors in the traditional low‐strain integrity testing (LST) method, thereby improving the applicability of this method.
The Influence of Folk Sports Culture on Rural Governance Based on Computer Sensor Network
Authors: Tan Zhigang , Tan Qingwen , Nguyen Oanh
Published: July 2022

At present, in the process of RG (rural governance), problems such as the decline of social morality, the lack of collective identity, the lack of cohesion, and the low degree of autonomy have plagued the improvement of RG quality. FSC (folk sports culture) can promote good social governance with its positive role. As an informal system, FSC heritage derived from traditional society continues its strong vitality and flexibility in modern RG. This paper presents an RG model based on CSN (computer sensor network). The model takes the individual generated content of social media as the sensor data source and perceives the security situation of the online society and the real society through the data of netizens’ behaviors, emotions, and attitudes. The results show that the RMSE of the particles obtained by the improved resampling algorithm is slightly better than that of the traditional resampling algorithm, and the RMSE basically fluctuates between 0.36 and 0.45. This can reflect the effectiveness of the resampling algorithm in this chapter. FSC can play an important role in improving villagers’ political literacy, solving the problem of providing for the aged, maintaining rural stability, establishing rural organizations, and developing public welfare undertakings.
[Retracted] Local Null‐Controllability for Some Quasi‐Linear Phase‐Field Systems with Neumann Boundary Conditions by one Control Force
Authors: Shi Shengzhu , Zhang Dazhi
Published: July 2022

In this article, we study the local null‐controllability for some quasi‐linear phase‐field systems with homogeneous Neumann boundary conditions and an arbitrary located internal controller in the frame of classical solutions. In order to minimize the number of control forces, we prove the Carleman inequality for the associated linear system. By constructing a sequence of optimal control problems and an iteration method based on the parabolic regularity, we find a qualified control in Hölder space for the linear system. Based on the theory of Kakutani’s fixed point theorem, we prove that the quasi‐linear system is local null‐controllable when the initial datum is small and smooth enough.
A Study on the Innovative Use of Blockchain in the Human Resources Service Industry
Authors: Wang Tao
Published: July 2022

The growing maturity of block chain in the context of the big data era has provided new opportunities for the development of the human resources service industry. This paper analyses the problems of the traditional HR service industry from the emerging technology of block chain and innovatively combines block chain technology with HR service industry, conceives a HR service platform based on block chain technology, and uses this platform as the center to connect job seekers, enterprises, partners, and the government, and actively explores the innovative application of block chain technology in HR service industry. The concept of “user profiling” provides new ideas and new ways to realise precise knowledge services for innovation and entrepreneurship. Under the strategic background of the Internet +, mass entrepreneurship, and innovation, we integrate precise service elements into the field of personalised knowledge services for innovation and entrepreneurship, establish a user portrait model for innovation and entrepreneurship, dig deeper into the information resources and knowledge service needs of users for innovation and entrepreneurship from the perspective of portrait, and build a precise knowledge service model that fits the knowledge needs of users for “dual innovation.” It also proposes the implementation and guarantee strategies of the precise knowledge service model for innovation and entrepreneurship based on the dimensions of the concept, resources, users, and services.
Target Filter Tracking Algorithm Based on IABBSCA-IMM
Authors: Jiao Shangbin , Du Jinghang , Li Yujun , Li Yuxing
Published: July 2022

Aiming at the problem that the probability transition matrix is set by prior information and the filtering parameters are fixed in the traditional interactive multimodel (IMM) algorithm, which leads to the model probability lag in the switching process and the low filtering and tracking accuracy, an interactive multimodel filter tracking (IABBSCA-IMM) algorithm with improved parameter adaptive and bare bone sine cosine optimization is proposed. First, the Markov probability transition matrix is dynamically adjusted and limited conditions are added through the parameter adaptation method; then, the filtering parameters Q and R are optimized by the bare bones sine cosine algorithm (BBSCA); finally, three motion models of CV (uniform velocity motion), CA (uniform acceleration motion), and CT (uniform velocity turning motion) are used to conduct filtering and tracking experiments on the target. The simulation results show that, compared with the IMM algorithm, the AMP-IMM algorithm, the IASCA-IMM algorithm, and the IABBSCA-IMM algorithm proposed in this study have the smallest position and velocity root mean square error (RMSE) in the X and Y directions, and the accuracy is better.
Substation Operation Information Maintenance Based on Intelligent Data Mining
Authors: Zhang Songtao , Yuan Guijun
Published: July 2022

In order to solve the problems of redundancy of substation operation information, diversification of monitoring system versions, and heterogeneous data, the author proposes a remote-based intelligent data mining system for substation automation. Use data mining technology to classify and standardize the original alarm data, and associate it with the equipment ledger system to obtain a data warehouse of equipment parameters, status information, and related historical fault information. On this basis, the improved Apriori algorithm is used to extract strong association rules that satisfy the minimum trust threshold from the data warehouse, which provides decision-making basis for the operation and maintenance management of substation equipment. Experimental results show that using the improved Apriori algorithm to perform data mining on the substation operation alarm information in 143 intervals of a power supply bureau substation, the following strong association rules are obtained: association rule 1, “handcart test position ∩ device running alarm ∩ alarm signal has been reset interval debugging and maintenance”,

γ

support

=
57
%

,

γ

confidence

=
69
%

, and association rule 2, “Protection action∩ switch sectional position ∩ reclosing action ∩ total accident (hold) ∩ switch sectional signal has been reset ∩ reclosing action signal has been reset ∩ total accident (hold) signal has been reset Temporary equipment failure”,

γ

support

=
41
%

,

γ

confidence

=
79
%

. The effectiveness of the proposed data mining method is verified by a field case.
Reaction Kinetics of Cinnamaldehyde Hydrogenation over Pt/SiO2: Comparison between Bulk and Intraparticle Diffusion Models
Authors: Al-Shathr Ali , Shakor Zaidoon M. , Al-Zaidi Bashir Y. , Majdi Hasan Sh. , AbdulRazak Adnan A. , Aal-Kaeb Safa , Shohib Adel A. , McGregor James
Published: July 2022

The liquid-phase hydrogenation of cinnamaldehyde over a Pt/SiO2 catalyst was investigated experimentally and theoretically. The experiments were conducted in a 300 cm3 stainless steel stirred batch reactor supplied with hydrogen gas and ethanol as a solvent. Five Langmuir–Hinshelwood kinetic models were investigated to fit the experimental data. The predictions from the bulk model were compared with predictions from the intraparticle diffusion model. Competitive and non-competitive mechanisms were applied to produce the main intermediate compound, cinnamyl alcohol. Reaction rate parameters for the different reaction steps were calculated by comparing between the experimental and mathematical models. All rate data utilized in the present study were obtained in the kinetic regime. The kinetic parameters were obtained by applying a nonlinear dynamic optimization algorithm. Nevertheless, the comparison between the methodology of the present model and these five models indicated that the non-competitive mechanism is more acceptable and identical with the single-site Langmuir–Hinshelwood kinetic model including mass transfer effects and it mimicked the reactant behavior better than the other models. In addition, the observed mean absolute error (MAE) for the non-competitive mechanism of the present model was 2.3022 mol/m3; however, the MAE for the competitive mechanism was 2.8233 mol/m3, which is an increase of approximately 18%. The prediction of the intraparticle diffusion model was found to be very close to that of the bulk model owing to the use of a catalyst with a very small particle size (<40 microns). Employing a commercial 5% Pt/SiO2 catalyst showed a result consistent with previous research using different catalysts, with an activation energy of ≈24 kJ/mol.
Research on the Communication Path of Public Opinion in University Ideological and Political Network for Big Data Analysis
Authors: Xu Shengyu , Liu Jiayu , Chen Kan , Yang Yuling
Published: July 2022

In recent years, with the rapid development of information technology, the Internet has gradually become an interactive platform for people to exchange ideas, collide emotions, spread information, and release emotions. The openness, anonymity, and inclusiveness of the Internet have reduced the obstacles of information dissemination and triggered the conflict of public opinion on the Internet. In addition, students actively express their opinions, attitudes, and feelings on important topics in life and study on the Internet, forming a certain scale of online opinions reflecting students’ unique political attitudes, moral concepts, and values. Because college students are immature physically and mentally and the network environment is full of phenomena, it is easy to arouse their emotional resonance. Therefore, the free and diverse network environment presents new challenges and higher requirements of the times for the stable operation of college network public opinion guidance. Therefore, how to form systematic education in universities combined with ideological and political network public opinions under big data has become an important problem to be solved. Based on this paper presents the communication pattern of network public opinion and model it, namely, the random network public opinion transmission model. By comparing the scope and influence of the two transmission paths of network public opinion, the paper draws the conclusion and strengthens the teaching practice of ideological and political courses. Finally, it is pointed out that the research of the ideological and political network public opinion communication path is a complex digital communication system project, which requires the government, the media, and the schools together to give suggestions in the guidance of the network public opinion.
Research and Application of Cloud Platform-Oriented Intelligent Information Management System
Authors: Xiao Xinmei
Published: July 2022

In order to realize unified deployment and system planning of various types of information and diverse needs, the author proposes an educational information management platform using cloud computing technology. The author introduces the layered architecture and platform advantages of cloud computing technology. Combining the advantages of cloud computing technology with the characteristics of the construction of educational information management platforms in colleges and universities, the B/S architecture is established, and the architecture model of the educational information management platform based on cloud computing technology is designed; the model includes user access layer, SaaS layer, PaaS layer, and IaaS layer, then analyze the functional modules of the platform design. Based on the Linux operating system server terminal, using Apache as the Web application server, the JSP system page was developed and established a SQL Server database, which includes information tables such as users, departments, teachers, courses, teaching resources, and statistical analysis. Finally, the application effect of the education information management platform based on cloud computing technology is analyzed. Experimental results show that the platform was tested, and it was found that the accuracy of system data operation was greater than 90%; the system ran stably and smoothly for more than 2 hours; 200 people could use the system at the same time; the system response delay was less than 3 seconds. Conclusion. The educational information management platform can be user-oriented, meet the personalized application needs of teachers and students in schools, and provide strong technical support for teaching experience innovation.
The Use of Machine Learning Model in the Evaluation of College Students’ Employment and Entrepreneurship Level
Authors: Li Shixiao
Published: July 2022

This exploration aims to investigate the employment and entrepreneurship of college students. College students majoring in information and computing sciences in Xinxiang City are taken as the research object. A machine learning model for college students’ employment and entrepreneurship is established. Experiments are conducted using Python language and a machine learning framework. First, based on the employment and entrepreneurship indexes of college students in machine learning, the initial data of college students’ training quality evaluation are obtained from the educational administration system, library management system, college evaluation materials, and questionnaire survey. Then, the combination weighting method is adopted to determine the index weight, quantify the data, and modify the parameters of the data provided by the framework. The Gaussian kernel is selected as the kernel function, and the sample data used by the machine learning model are labeled. Finally, the sample data are employed to train and test the model. After the consistency test, the model reaches the optimal value after 7 iterations, with an error rate of 0.01 and an accuracy rate of 99%. The final error rate of entrepreneurship and innovation model based on machine learning is less than 0.1, which is consistent with the actual situation. The model can meet the requirements of college students’ entrepreneurship and employment evaluation. It proves that it can be applied to the research of college students’ employment and entrepreneurship and has certain theoretical guidance and practical significance for the evaluation of college students’ employment and entrepreneurship level.