bluuebunny/crossref_metadata_2025 huggingface dataset:
Circular RNA TLK1 Exerts Oncogenic Functions in Hepatocellular Carcinoma by Acting as a ceRNA of miR-138-5p
Authors: Lu Yan , Liu Yao , Zhang Ke , Jiang Li
Published: March 2022

Mounting evidence has shown that circular RNAs (circRNAs) function as key regulators in carcinogenesis and cancer progression, and this study is aimed at investigating the regulatory functions of circRNA TLK1 (circ-TLK1) in hepatocellular carcinoma (HCC). We observed that circ-TLK1 was highly expressed in HCC samples, and its high expression was closely associated with poor clinicopathological variables of HCC patients. The results of functional experiments revealed that knockdown of circ-TLK1 remarkably inhibited the proliferation, migration, invasion, and EMT of HCC cells, while circ-TLK1 overexpression promoted these malignant behaviors. Moreover, we noted that circ-TLK1 was capable of binding to miR-138-5p and upregulating its target gene, SOX4 in HCC. Based on rescue assays, miR-138-5p inhibition partially suppressed the effects of circ-TLK1 knockdown on the malignant behaviors of HCC cells. In short, this study is the first to indicate that circ-TLK1 functions as an oncogene in HCC progression partly through acting as a ceRNA of miR-138-5p, which may be a promising target for HCC therapy.
Intervention Effect of Traditional Chinese Medicine Hot Pressing Combined with Health Education on the Adolescent’s Visual Fatigue
Authors: Tang Yanping , Wei Xiaoxia , Huang Yao , Huang Junying , Jin Weihong , Lu Yanhua , Ge Tan , Tang Ying
Published: March 2022

To explore the intervention effect of traditional Chinese medicine hot pressing combined with health education in adolescents with asthenopia, 92 adolescents with asthenopia admitted to the outpatient department of Guangming Traditional Chinese Medicine Hospital in Pudong New Area from October 2019 to January 2021 were selected and randomly divided into two groups: the control group and the test group, each with 46 cases. Both received health education. The control group was given sodium hyaluronate eye drops, and the test group was given traditional Chinese medicine hot ironing technique intervention. After 2 courses of treatment, the scores of visual fatigue symptoms, clinical curative effect, and eye refractive power of the two groups were observed. The satisfaction of treatment was compared between the two groups. The scores of asthenopia of the two groups were compared at 6 months after intervention. After the intervention, the scores of visual fatigue symptoms in the control group and the test group were reduced after one or two courses of treatment (control group: t = 4.167, 6.318, and

P
=
0.027

, 0.010; test group: t = 4.820, 6.834, and

P
=
0.013

, <0.001). The scores of asthenopia symptoms of the trial group after the intervention for one and two courses were significantly lower than those of the control group

P
<
0.05

; the total clinical effective rate of the trial group was 93.48%, which was significantly higher than that of the control group (80.43%). The difference between the groups was statistically significant

P
<
0.05

; the left and right eyes of the control group did not change significantly before and after the intervention

P
>
0.05

. After the intervention, the left and right eyes of the paper group were significantly reduced

P
<
0.05

. After the intervention, the difference of the two groups in the refractive power of the left and right eyes was statistically significant

P
<
0.05

. After treatment, the satisfaction of the experimental group was significantly higher than that of the control group

P
<
0.05

. After 6 months, there was no significant change in the visual fatigue score of the experimental group, while the visual fatigue score of the control group increased significantly. The traditional Chinese medicine ironing combined with health education intervention can improve the symptoms of adolescents’ asthenopia and improve the treatment efficiency. The method is safe, and the operation is convenient. It is worthy of clinical promotion.
Electric Modulus Analysis of (1 − x) PbMg1/3Nb2/3O3-(x)K1/2Bi1/2TiO3 Ceramics
Authors: Legesse Kebede , Poluri Vijaya Bhaskar Rao , Sampandam Elangovan
Published: March 2022

Ferroelectrics refer to groups of dielectrics having the property of spontaneous polarization. Lead magnesium niobate-potassium bismuth titanate ((1 − x) PbMg1/3Nb2/3O3-(x)K1/2Bi1/2TiO3)) x = 0.15, 0.25, and 0.35 are prepared by solid-state reaction rout technique. The electric modulus of the prepared samples is studied using the complex impedance spectroscopic method at 400°C, 450°C, and 500°C in various frequency ranges. In the lower frequency range, the real modulus (M′ (ω)) decreased with increasing the temperature. Furthermore, the real modulus (M′ (ω)) increased with increasing frequency and the concentration of the doping component. The imaginary modulus (M″ (ω)) increased with increasing the temperature. The significant variations in the real and imaginary coefficients signify the existence of thermally activated dielectric relaxation between the selected components. Moreover, the magnitude of grain capacitance increased with increasing the temperature, confirming the negative temperature coefficient of resistance of the material.
Study on Automatic Multi-Classification of Spine Based on Deep Learning and Postoperative Infection Screening
Authors: Wang Hua , Liu Yanxiao , Li Yancheng
Published: March 2022

The preoperative qualitative and hierarchical diagnosis of intervertebral foramen stenosis is very important for clinicians to explore the effect of multimodal analgesia nursing on pain control after spinal fusion and to formulate treatment strategies and patients’ health recovery. However, there are still many problems in this aspect, and there is a lack of relevant research and effective methods to assist clinicians in diagnosis. Therefore, to improve the accuracy of computer-aided diagnosis of intervertebral foramen stenosis and the work efficiency of doctors, a deep learning automatic grading algorithm of intervertebral foramen stenosis image is proposed in this study. The image of intervertebral foramen was extracted from the MRI image of sagittal spine, and the image was preprocessed. 86 patients with spinal fusion treated in our hospital, specifically from May 2018 to May 2020, were randomly divided into the control group (routine analgesic nursing) and the multimodal group (multimodal analgesic nursing), with 43 cases in each group. The pain control effect and satisfaction of the two groups were observed. The results after multimodal analgesia nursing show that the VASs of the multimodal group at different time points were significantly lower than those of the control group

P
<
0.05

; the satisfaction score of pain control in the multimodal group was significantly higher than that in the control group

P
<
0.05

. Multimodal analgesia nursing for patients undergoing spinal fusion can effectively reduce the degree of postoperative pain and improve the effect of pain control and satisfaction with pain control, which is worthy of promotion.
Prevalence of Certain Urogenital Bacterial Mollicutes in Patients Suffering from Infertility
Authors: Al-Masri Motasem Y. , Ashour Intesar Khaleel , Swafta Ashraf , Al-Shunar Sami
Published: March 2022

Introduction. Mollicutes urogenital tract infections are considered a possible cause of infertility worldwide. Genital Mollicutes infections are difficult and impractical to diagnose by culturing or serology. Mollicutes included in this study were Mycoplasma hominis, Ureaplasma urealyticum, and Mycoplasma genitalium. This cross-sectional study aimed to determine the prevalence of M. hominis, U. urealyticum, and M. genitalium genital infections among infertile males and females patients. Methods. This study included 103 patients who visited Al-Shunar Clinic in Nablus city in Palestine and diagnosed with infertility during January 2018 to October 2018. The semen, urine, and/or vaginal swab specimens collected from patients were examined by PCR for detection of M. hominis, U. urealyticum, and M. genitalium. Results. A total of 57 semen, 37 urine, and 16 vaginal swab specimens were collected. Out of the 110 examined specimens, 35 (31.8%) were PCR positive for at least one Mollicutes, which were 16 (14.6%) M. hominis, 11 (10%) U. urealyticum, and 8 (7.3%) M. genitalium. Significant association were found between infections of M. hominis and U. urealyticum (

P
=
0.044

) and between M. hominis and M. genitalium (

P
=
0.005

) infections. M. hominis infection was found in significantly (

P
=
0.048

) higher percentage in males (20.6%) in comparison with females (5.7%). On the other hand, M. genitalium infection rate in females (8.6%) was slightly higher than males (7.4%). M. hominis was more prevalent in all age groups except for patient’s age group 40–50 years old, where M. genitalium was more prevalent. M. hominis was also more prevalent in all occupation types and among all smokers. Conclusion. Urogenital infections caused by M. hominis, M. genitalium, and U. urealyticum could be a possible cause of infertility among patients with different age groups, genders, and occupations. Thus, more attention by infertility centers and physicians is required in adopting molecular methods for diagnosis of infections by these microorganisms.
Association of MTHFR Polymorphisms with H-Type Hypertension: A Systemic Review and Network Meta-Analysis of Diagnostic Test Accuracy
Authors: Kong Yixuan , Zheng Jinghui , Li Lijuan , Lu Liying , Wang Jie
Published: March 2022

Purpose. An association between MTHFR polymorphisms and H-type hypertension (H-HTN) has been investigated by epidemiological studies, but results have been inconsistent. Thus, a systematic assessment of the association was performed based on a literature review and pooled analysis, to provide stronger evidence on the effects of single nucleotide polymorphisms on H-HTN risk. Methods. Three investigators independently retrieved relevant studies in PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure (CNKI), China Science and Technology Journal Database (VIP), Wanfang Database, and China Biomedical Literature Database (CBM). A fixed or random effects model was selected to calculate pooled odds ratio (OR) and 95% confidence intervals (CIs). A network meta-analysis of diagnostic test and Thakkinstian’s algorithm were used to select the most appropriate genetic model, along with false-positive report probability (FPRP) for noteworthy associations. All data were processed using Stata 15.0 and Meta-Disc. Results. A total of 14 studies involving 1759 cases and 1581 controls for MTHFR were included in our meta-analysis. In a direct meta-analysis, we found that MTHFR C667T rs1801133 significantly increased the risk of H-HTN susceptibility except for an overdominant model. However, MTHFR A1298C rs1801131 polymorphism had no significant correlation with H-HTN risk. Besides, MTHFR C667T rs1801133 is a potential diagnostic biomarker for estimating H-HTN risk. The results indicated that the dominant model was an optimal diagnosis model for excluding diseases, which could reduce a missed diagnosis rate and further improve the accuracy of disease diagnosis. Conclusion. The present result suggests that MTHFR C667T rs1801133 polymorphism is associated with H-HTN risk and may act as a promising predictive biomarker for H-HTN risk. However, further well-designed studies are warranted to confirm these results.
Financial Account Audit Early Warning Based on Fuzzy Comprehensive Evaluation and Random Forest Model
Authors: Zhao Yuting , Fang Yupeng
Published: March 2022

With the continuous and rapid development of China’s economy, the operating environment of listed companies has become more and more complex, and the increasing pressure of international competition among companies has made the issue of financial risks of listed companies more severe. If you do not pay attention to the financial risk status of the enterprise, it will cause the financial risk to accumulate and eventually cause a financial crisis, which will be marked by ST. Therefore, this paper proposes an early warning model of enterprise financial accounts combining fuzzy sets and random forest trees, which specifically includes the following steps. First, the dataset is analyzed, selected and initially constructed by the training prediction sample. It is further explained by the data labels, and is charged whether the label is marked by ST or not. Then, the method of fuzzy mathematics is used to fuzzify the training sample data, and the two‐category label is converted into a multiclass label; then, the random forest model is used to train the above‐mentioned fuzzified sample data. Obtain the trained random forest model. Finally, input the prediction sample data into the trained random forest model to make decisions on the scene application. At the same time, the invention is applied to the enterprise financial risk early warning, which demonstrates the practicability and effectiveness of the invention Sexuality and scientificity. The significant advantage of the present invention is that the two‐class decision making is converted into the multiclass decision making by combining the fuzzy set and the random forest model, which greatly improves the prediction accuracy, efficiency, and data rationality.
Double Mask R-CNN for Pedestrian Detection in a Crowd
Authors: Liu Congqiang , Wang Haosen , Liu Chunjian
Published: March 2022

Aiming at the difficulty of feature extraction and the limitation of NMS (nonmaximum suppression) in crowded pedestrian detection, a new detection network named Double Mask R-CNN based on Mask R-CNN with FPN (Feature Pyramid Network) is proposed in this article. The algorithm has two improvements: firstly, we add a semantic segmentation branch on the FPN to strengthen the feature extraction of crowded pedestrians; secondly, we design a rule to estimate the pedestrian visibility of detected image according to the human keypoints information, and this rule can cover binary mask on the image whose pedestrian visibility is less than a certain threshold. Then we input the masked image into the network to locate occluded pedestrians. Experimental results on the CrowdHuman dataset show that the log-average miss rate (MR) of Double Mask R-CNN is 13, 12% lower than the best results of other mainstream networks. Similar improvements on WiderPerson dataset are also achieved by the Double Mask R-CNN.
A Sparsity-Limitation-Based High-Dimensional Distribution Searching Algorithm for Adversarial Attack
Authors: Zhu Chenxi , Wang Haobo , Zhuang Yan , Li Jie , Cao Yangjie
Published: March 2022

Deep neural networks-based image classification systems could suffer from adversarial attack algorithms, which generate input examples by adding deliberately crafted yet imperceptible noise to original inputs. To reduce the impact on human visual sense and to ensure adversarial attack ability, the input image needs to be modified by pixels in considerable iterations which is time consuming. By using sparse mapping network to map the input into a higher dimensional space, searching space of adversarial perturbation distribution is enlarged to better acquire perturbation information. Taking both searching speed and searching effectiveness into consideration, sparsity limitation is introduced to suppress unnecessary neurons during parameter updating process. Based on different eye sensitivity of different colors, maps of each color channel are disturbed by perturbations with different strengths to reduce visual perception. Numerical experiments confirm that compared with the state-of-the-art adversarial attack algorithms, the proposed SparseAdv performs a relatively high attack ability, better imperceptible visualization, and faster generation speed.
The Association between Baseline, Changes in Uric Acid, and Renal Failure in the Elderly Chinese Individuals: A Prospective Study with a 3-Year Follow-Up
Authors: Lai Xiuxiu , Gao Bo , Zhou Gongmin , Zhu Qingyan , Zhu Yan , Lai Haijia
Published: March 2022

Objective. The objective is to find whether serum uric acid (SUA) levels are associated with the progression of chronic kidney disease (CKD) remains uncertain, and follow-up data among the elderly population are relatively lacking, especially in China. The aim of the present study was to reveal the association between baseline SUA levels, changes in SUA levels, and renal failure in Chinese elderly adults. Methods. In this retrospective cohort study, 425 subjects (age range 71–100 years) were analyzed and divided into quartiles based on baseline SUA levels (Q1: <4.8; Q2: <5.7; Q3: <6.5; and Q4: ≥6.5 mg/dl). CKD was defined as estimated glomerular filtration rate (eGFR) < 60 ml/min/1.73 m2. We used multiple linear and logistic regressions to compare the risk of renal dysfunction among the different SUA level groups. Results. The prevalence of hyperuricemia was 24.24% in the elderly subjects. In the multivariable analysis, the odds ratio (OR) for the development of CKD increased with the increase in SUA quartiles at baseline (1.00 vs. 1.79 (95% CI, 1.00–3.22), 3.4 (95% CI, 1.79–6.47), and 6.79 (95% CI, 3.45–13.75), respectively; P for linear trend <0.001), and a per unit increase in baseline SUA levels gave an OR of 1.76 (95% CI, 1.45–2.14) for renal failure. At the same time, a change in SUA levels had a stronger inverse correlation with a change in eGFR in females (r = −0.318,

P
<
0.001

) than in males (r = −0.187,

P
<
0.01

). In a linear regression analysis, a 1 mg/dl increase in SUA levels was associated with an additional 1.25 (95% CI, −1.83 to −0.67) ml/min/1.73 m2 decrease in eGFR over a 3-year period. Conclusion. Elevated baseline SUA levels and changes in SUA levels were associated with a decline in eGFR and an increased risk of CKD in an elderly Chinese population.
Association of Polymorphisms within HOX Transcript Antisense RNA (HOTAIR) with Type 2 Diabetes Mellitus and Laboratory Characteristics: A Preliminary Case-Control Study
Authors: Sargazi Saman , Ravanbakhsh Mahdiyeh , Nia Milad Heidari , Mirinejad Shekoufeh , Sheervalilou Roghayeh , Majidpour Mahdi , Danesh Hiva , Saravani Ramin
Published: March 2022

Type 2 diabetes mellitus (T2DM) is a complex heterogeneous disease resulting from the environment and genetic interactions. Lately, genetic association studies have shown that polymorphisms in long noncoding RNAs (lncRNAs) are associated with T2DM susceptibility. This preliminary study is aimed at investigating if HOX transcript antisense RNA (HOTAIR) polymorphisms contribute to T2DM development. Five hundred clinically diagnosed T2DM cases and 500 healthy controls were recruited from the southeast Iranian population. Genomic DNA was isolated from nucleated blood cells and genotyped for MspI (C/T) (rs920778) and AluI (A/G) (rs4759314) polymorphisms using the PCR-RFLP technique. For genotyping rs12826786 C/T and rs1899663 G/T variants, ARMS-PCR method was applied. Our findings indicated that HOTAIR rs920778 C/T, rs12826786 C/T, and rs4759314 A/G polymorphisms have a significant positive association with T2DM, while a negative association was observed between rs1899663 G/T T2DM susceptibility. Significant associations were also observed between rs920778 C/T and HDL-C as well as s4759314 A/G and both FBS and LDL-C in T2DM patients. Haplotype analysis indicated that the CGCG, CTTG, TGTA, and TTTG haplotypes of rs920778/rs1899663/rs12826786/rs4759314 significantly enhanced T2DM risk by 1.47, 1.96, 2.81, and 4.80 folds, respectively. No strong linkage disequilibrium was found between the four HOTAIR SNPs. We firstly reported that HOTAIR rs1899663 G/T, rs12826786 C/T, rs4759314 A/G, and rs920778 C/T polymorphisms might influence T2DM susceptibility by modulating different signaling pathways and could be regarded as potential prognostic markers in T2DM patients.
Characterization of PVA Fiber-Reinforced Pervious Concrete with Blended Recycled Ceramic Aggregates and Natural Aggregate
Authors: Xiao Qidan , Feng Liuyang , Xia Yapei , Xu Fandong
Published: March 2022

Effective industrial waste management is one of the important challenges facing modern society. Ceramic wastes occupy an important proportion of industrial waste. The utilization of waste of ceramics is becoming more and more attractive for many researchers to alleviate the environmental impact of industrial waste. As a low-impact development method, pervious concrete (PC) received more and more attention from researchers in recent years. However, the relatively low strength compared with ordinary concrete restricts the application of pervious concrete. This research used recycled ceramic coarse aggregates (RCCA) to partially replace natural coarse aggregates (NCA) to prepare recycled ceramic coarse aggregate pervious concrete (RCCAPC) and fiber-reinforced RCCAPC incorporating polyvinyl alcohol (PVA) fibers, and the effect of the replacement rate of RCCA and the amount of PVA fiber on the mechanical properties and permeability was investigated. The results show that RCCA can improve the mechanical properties of PC at a low substitution rate, as well as PVA fiber, and when the PVA content is about 0.3%, the enhancement effect is the best. Both RCCA replacement rate and PVA fiber content have little effect on the permeability coefficient of PC. Based on described studies, using RCCA to partially replace NCA at a low substitution rate is suitable for the preparation of PC, and PVA fibers can enhance the strength of PC, which may help to broaden the application scenarios of PC.
Analysis of the Management Effect of Cancer Patients after Oral Chemotherapy Based on Nursing Process Reengineering
Authors: Chen Yanqiong , Zhang Wei , Li Xiang
Published: March 2022

With the pollution of the environment and the acceleration of the social rhythm, the prevalence of tumors has increased year by year, and tumors have brought huge pain and inconvenience to patients. However, traditional nursing work consumes a lot of manpower and material resources, but it is difficult to improve the happiness of cancer patients, and it also brings a lot of troubles to many nursing workers. Based on the above reasons, we reengineered the traditional nursing process based on the BPR theory and applied the new process to the analysis of the management effect of cancer patients after oral chemotherapy drugs. The data shows that there are 23 patients with no pressure ulcer risk (score greater than 19) before care, 27 patients with low risk (15–19 points), 32 patients with moderate risk (13–14 points), and 18 people at high risk (less than 12 points). After nursing, there were 82 patients with no pressure ulcer risk, 10 patients with low risk, 7 patients with moderate risk, and 1 patient with high risk. This shows that the risk of pressure ulcers in patients with cancer after the use of chemotherapy drugs is significantly reduced compared with those without nursing. Nursing intervention can improve the psychological state of cancer patients during the recovery period, and nursing intervention can promote the compliance of cancer patients in various aspects of rehabilitation.
Novel 1, 2, 4‐Triazoles as Antifungal Agents
Authors: Kazeminejad Zahra , Marzi Mahrokh , Shiroudi Abolfazl , Kouhpayeh Seyed Amin , Farjam Mojtaba , Zarenezhad Elham
Published: March 2022

The development of innovative antifungal agents is essential. Some fungicidal agents are no longer effective due to resistance development, various side effects, and high toxicity. Therefore, the synthesis and development of some new antifungal agents are necessary. 1,2,4‐Triazole is one of the most essential pharmacophore systems between five‐membered heterocycles. The structure‐activity relationship (SAR) of this nitrogen‐containing heterocyclic compound showed potential antifungal activity. The 1,2,4‐triazole core is present as the nucleus in a variety of antifungal drug categories. The most potent and broad activity of triazoles have confirmed them as pharmacologically significant moieties. The goal of this review is to highlight recent developments in the synthesis and SAR study of 1,2,4‐triazole as a potential fungicidal compound. In this study, we provide the results of a biological activity evaluation using various structures and figures. Literature investigation showed that 1, 2, 4‐triazole derivatives reveal the extensive span of antifungal activity. This review will assist researchers in the development of new potential antifungal drug candidates with high effectiveness and selectivity.
A Prognostic Model for Newly Operated Highway Bridges Based on Censored Data and Survival Analysis
Authors: Huang Liang , Duan Jixin , Xu Shizhan , Zhu Jiapeng , Liu Jun , Niu Danjie , Xu Li , You Jiangtao , Xue Pengtao
Published: March 2022

The service performance of reinforced concrete bridges degrades overtime under environmental and vehicle loads. Accurate bridge deterioration analysis can provide a more scientific suggestion for the formulation of road bridge maintenance, strengthening, and reconstruction plans to ensure the operational safety of road bridges. Combined with bridge inspection data from the bridge database in Henan Province, we propose a prognostic model which is based on the Cox regression model for the service performance of newly operated highway girder bridges based on survival analysis theory. The Cox regression model can not only simultaneously analyze the effects of numerous factors on bridge survival, but also handle the presence of censored data in bridge survival data, which does not require the data to meet a specific distribution type. It shows that the decay rate of the deck system, superstructure, and substructure decreases with time in service, which is consistent with the actual decay pattern of the bridge structure. To further verify the accuracy of the model, the authors built a multilayer perceptron neural network with one hidden layer and used the cross‐entropy error as the loss function. It showed that the importance of the deck system, superstructure, and substructure to the decay of the bridge structure gradually decreased. The model proposed in this paper is highly applicable and reliable. Theoretically, bridge decay prediction at regional and network‐wide levels can be achieved if sufficient comprehensive bridge inspection data can be collected.
KIF26B in the Prognosis and Immune Biomarking of Various Cancers: A Pan-Cancer Study
Authors: Sun Fei , Lian Yingying , Wang Jianlin , Hu Lijun , Luo Judong , Yu Jingping
Published: March 2022

KIF26B has been identified as an oncogene in several tumors; however, its utility as a prognostic indicator for various cancers has not yet been comprehensively evaluated. Here, we first examined how KIF26B intervenes in thirty-three cancers within the TCGA database, including potential immunological functions, and how it affects the prognosis. Based on the open databases TCGA, TIMER2, GEPIA2, GTEx, CPTAC, and HPA, we found that, when compared with normal tissues, KIF26B is overexpressed in 22 tumor tissues. Following a survival analysis, a relationship between the expression of KIF26B and the prognosis of various cancers was observed. Among the genetic alterations assessed, mutations were the most frequent. On the contrary, high phosphorylation levels of S977 were detected in breast cancer, KIRC, LUAD, and UCEC. We also found positive or negative correlations between KIF26B and the immune infiltration of endothelial cells and cancer-associated fibroblast infiltration. This could imply that patients may benefit from immunotherapy. Finally, KEGG pathways and GO enrichment analyses were implemented to identify the molecular mechanisms of KIF26B. This study illustrates the function of KIF26B from a pan-cancer perspective and offers a new horizon for cancer prognostic and immunotherapeutic investigations.
Detection of Human Energy Consumption in Sports Based on MEMS Sensor
Authors: Li Peng , Zhou Jihe
Published: March 2022

In order to explore the problem of human energy consumption in sports, a method based on MEMS sensor is proposed. Firstly, the data of the whole system is analyzed, including acceleration signal preprocessing, data fusion between accelerometer and gyroscope using the Kalman filter method, and feature extraction. Secondly, each module and the whole system are tested, respectively. Finally, the accuracy experiment is compared with other human motion energy consumption measurement devices to verify the feasibility and superiority of the system. The experimental results show that when measuring human motion energy consumption, the average accuracy of a bracelet 1 is 87%, the average accuracy of a bracelet 2 is 88%, the average accuracy of a bracelet 3 is 96%, and the average accuracy of the system is 94%.The system has relatively high accuracy in measuring human motion energy consumption, and its algorithm is more accurate. It is proved that MEMS sensor can effectively detect human energy consumption in sports.
Identification Level of Awareness and Knowledge of Emirati Men about HPV
Authors: Al Shdefat Suzan , Al Awar Shamsa , Osman Nawal , Khair Howaida , Sallam Gehan , Maki Sara
Published: March 2022

One of the most frequent cancers that affects males globally is cervical cancer (CC) that kills hundreds or even thousands of women each year, particularly in underdeveloped nations. The study focuses on human papillomavirus (HPV) that contributes to cervical cancer (CC) development. In the majority of Arab nations, there seems to be no public education or vaccination programs. In research, methodological rigor is employed to find solutions to both theoretical and practical difficulties. This research aims to assess the knowledge and awareness of the HPV vaccination among Emirati men. Results of the research showed that Emirati males had a poor understanding of HPV and its vaccination. According to the findings of this research, Emirati males lack a basic understanding of HPV, which necessitates the implementation of national HPV education initiatives. We have identified several critical knowledge gaps that can be filled in the future regarding HPV infection and vaccination.
Effects of Phototherapy on the Serum Magnesium Level in Neonates with Indirect Hyperbilirubinemia: A Prospective Cohort Study
Authors: Eghbalian Fatemeh , Shabani Somayeh , Faradmal Javad , Jenabi Ensiyeh
Published: March 2022

Objectives. Neonatal jaundice or hyperbilirubinemia is one of the common findings in neonatal medicine. Severe disease can cause neurological damage and even Kernicterus. Magnesium ion is the most important N-methyl-D-aspartate receptor antagonist. The most commonly used treatment for jaundice is phototherapy, but the effect of phototherapy on serum magnesium is less investigated. In this study, we aim to investigate the effects of phototherapy on total serum magnesium levels in icteric neonates. Methods. This prospective cohort study was carried out on 160 neonates with jaundice referring to the Besat Hospital of Hamadan. Based on the bilirubin level, newborns were divided into three subgroups of mild, moderate, and severe disease which were subjected to single, double, and intensive phototherapy, respectively. Serum bilirubin and magnesium levels were measured before and after phototherapy and compared using parametric tests. Results. Subjects have a mean intrauterine age of 38.8 weeks and a jaundice onset age of 3.8 days. In all groups, serum magnesium levels were within the normal range before phototherapy. After phototherapy, on the other hand, the most reduction of total serum magnesium was in the double phototherapy group, which was

−
0.13
±
0.42
 
mg
/
dl

(

P
=
0.018

). The change in serum magnesium level was not significant in the single phototherapy (

−
0.02
±
0.25

) and intensive phototherapy (

−
13.55
±
2.73

) groups (

P
>
0.05

). Conclusion. In the present study, serum magnesium did not increase significantly before the treatment in three groups. After treatment, a significant reduction was seen in the double phototherapy group.
Antibacterial Effect of Noni Juice In Vitro and Applied to Fresh-Cut Papaya to Control Escherichia coli O157 : H7
Authors: Meza-Gutiérrez Nimcy Noemí , Ulloa José Armando , Rosas-Ulloa Petra , Balois-Morales Rosendo , López-Guzmán Graciela Guadalupe , Berumen-Varela Guillermo , Escalera-Lara Ana Alicia , Casas-Junco Paloma Patricia , Bautista-Rosales Pedro Ulises
Published: March 2022

This study aimed to evaluate the effect of noni (Morinda citrifolia L.) juice (NJ) in vitro and applied it to fresh-cut papaya to control Escherichia coli O157 : H7. Furthermore, the NJ effect on the physicochemical characteristics of fresh-cut papaya was evaluated. We determined the minimal inhibitory concentration (MIC) in a microplate reader by the microdilution method using TSB using an initial concentration of 1 × 107 cells of E. coli/mL. Cubes of fresh-cut papaya fruit were immersed in an E. coli suspension (1 × 105 cells/mL) and after that in NJ three times (0, 2.5, and 5 min) and then stored at 4 ± 1°C for 18 days. The presence of E. coli and total coliforms, as well as pH, TSS, and titratable acidity, were evaluated every three days. The results of in vitro assays showed that NJ at 20% inhibited the microbial growth of E. coli, finding a maximum growth rate (μmax) of −0.0066 h−1. Immersion in NJ for 5 min presented a reduction of E. coli of 3.72 ± 1.43 log10 CFU/

g

of fresh-cut papaya fruit treated with this bacteria on day 9 of storage regarding control. Likewise, fresh-cut papaya fruit immersed in NJ for 5 min maintained the total coliforms between 1 and -1 log10 coliforms CFU/g for 18 days. However, the immersion treatment in NJ modified some physicochemical parameters of the fresh-cut papaya fruit, such as acidity and pH (

P

 < 0.05). The application of NJ to fresh-cut papaya fruit showed in vitro and in vivo inhibition of E. coli and total coliforms, evidencing it as a possible bacterial control agent in the precut fruit industry for up to 18 days.
Research on the Agricultural Machinery Path Tracking Method Based on Deep Reinforcement Learning
Authors: Li Hongchang , Gao Fang , Zuo GuoCai
Published: March 2022

With the rapid development of information technology, industry and service industries have achieved rapid development in recent years. Then, looking at the development of agriculture, the popularity of informatization lags far behind industry and service industries, directly hindering the digital development of agriculture. Starting from the current agricultural machinery driving operation scene, this paper carried out a simplified research on the traditional agricultural machinery driving operation method through the agricultural machinery kinematics model, and based on the related theory of deep reinforcement learning to study the agricultural machinery path tracking in the agricultural operation scene, it carried out the controller design, built the agricultural machinery autonomous path tracking framework operating mechanism under deep reinforcement learning, and further researched through experimental design and found that the agricultural machinery autonomous path tracking control can achieve better automatic control after empirical learning. I-DQN algorithm enables agricultural robots to adapt to the environment faster when performing path tracking, which improves the performance of path tracking. It has important guiding significance for further promoting the automatic navigation and control of agricultural machinery to realize the efficient operation of agricultural mechanization.
Music Trend Prediction Based on Improved LSTM and Random Forest Algorithm
Authors: Liu Xiangli
Published: March 2022

As one of the entertainment consumption products, pop music attracts more and more people’s attention. In the context of big data, many pop music listeners can determine the development trend of pop music to a large extent. In order to predict the trend of pop music, we can dig and analyze the audience’s preferences and preferences deeply based on massive user data. This paper proposes a music trend prediction method based on improved LSTM and random forest algorithm. The algorithm first performs abnormal data processing and normalization processing on the test data set. Then the important features are selected by the random forest algorithm and corrected by the rough set compensation system. Finally, the prediction is made by improving LSTM. In the experiment, RMSE and MAER are used as the performance evaluation indexes of the algorithm, and the results show that the proposed algorithm can better predict the music popularity trend. At the same time, the root means square error and mean absolute error index are improved obviously.
Cascading-Failures Effect on Heterogeneous Internet of Things Systems under Targeted Selective Attack
Authors: Yang Xing , Qian Zhen , Zhang Xuhong , Zhao Dandan , Peng Hao , Zhu Dongtao , Liang Zhenyu
Published: March 2022

With the rapid development of the Internet of Things (IoT), the physical system and the network space are further deeply integrated, forming a larger-scale IoT heterogeneous fusion system. The attack mode considered in the security mechanism research of traditional large-scale complex systems is relatively simple; only simple attack types such as random attacks on physical systems or network systems are considered. In addition, existing attack modalities such as selectivity, locality, and distribution cannot fully consider the characteristics of security threats in the IoT system. In this paper, for large-scale heterogeneous IoT system scenarios, attackers can attack network systems or physical systems through cyberspace. We conduct situational awareness analysis on important traffic nodes or backbone nodes and study the cascading failures of two interdependent heterogeneous space systems. In view of the existence of such targeted attack threats in large-scale IoT heterogeneous systems, we focus on security assessment and risk prediction issues. First, this paper analyzes and models different IoT heterogeneous systems. Then using the penetration theory, we analyze the cascading failure process step by step and obtain the critical threshold for system collapse failure. Finally, we further verify the correctness of the theoretical values through simulation to effectively analyze and illustrate the reliability of the parameters affecting the system risk. The experimental results show that the large-scale IoT heterogeneous system presents a first-order discontinuous transition value near the critical threshold and the power-law index of the SF network has little effect on the system security.
Mechanism of Coal Seam Permeability Enhancement and Gas Outburst Prevention under Hydraulic Fracturing Technology
Authors: Wu Xinhua , Zhu Tao , Liu Yufei , Zhang Guoyu , Zheng Guanghui , Wang Fengnian
Published: March 2022

In view of the high gas pressure and low permeability of deep coal seam, it is difficult to control gas, which affects the safety production of coal mine. The technical scheme of hydraulic fracturing to improve the permeability of coal seam is put forward, and the gas drainage technology is used to control the gas emission of coal seam. The fracturing effect under different water pressure, different gradient fracturing times, and in situ stress is analyzed by using 3DEC (3-Dimensional Distinct Element Code) discrete element software. The simulation analysis and field verification results show that the coal seam gas pressure increases linearly with the buried depth. In situ stress characteristics and hydraulic strength are the key factors affecting the effect of hydraulic fracturing. The fracturing radius increases with the increase of flow. When the construction pressure of hydraulic fracturing test is 18 MPa, the distance between fracturing hole and drainage hole is 8.5 m. The actual measurement shows that after hydraulic fracturing and gas drainage, the maximum gas emission is reduced by 51%, and the average gas emission is reduced by 58%.
Analysis on Performance Development Trend of Track-and-Field Throwing Events Based on Blockchain and Mobile Big Data
Authors: Liu Linpeng
Published: March 2022

To promote the development of sports, this study analyzes the results of track-and-field throwing events in a province of China using the methods of literature, comparative analysis, mathematical statistics, and grey prediction, and compares them with the results of track-and-field throwing events in China. The province has made brilliant achievements in track-and-field throwing events in history, but we can also find some problems behind these excellent achievements: the overall results of throwing events in the province are good, relatively outstanding in women’s javelin and men’s discus throw, but still at a low level in women’s shot put and women's hammer throw. In recent years, the throwing events in the province have gradually lost their advantages, especially in women’s shot put and men's hammer throw. Facing the current situation of throwing events in this province, we must clearly understand the characteristics of the performance development of track-and-field throwing events in this province, grasp the advantages of throwing events, and strive to make a breakthrough in other individual events. Only when we have a comprehensive and objective grasp of the development trend and law of achievements, we can fully understand where and how big the gap is with the highest level in China, and then find a breakthrough and catch-up.
Vasorelaxant Effects of the Vitex Agnus-Castus Extract
Authors: Thaçi Shpëtim , Krasniqi Berat , Dërmaku-Sopjani Miribane , Rifati-Nixha Arleta , Abazi Sokol , Sopjani Mentor
Published: March 2022

This study was undertaken to describe and characterize the relaxing effects of the medicinal plant Vitex agnus-castus (VAC) extract on isolated rabbit arterial rings. The VAC extracts (VACE) were extracted with ethanol and tested in aorta rings (3-4 mm) of rabbits suspended in an organ bath (Krebs, 37°C, 95% O2/5% CO2) under a resting tension of 1 g to record isometric contractions. After the stabilization period (1-2 hours), contractions were induced by the addition of phenylephrine (0.5 μM) or high KCl (80 mM) and VACE was added on the plateau of the contractions. Experiments were performed to determine the effects and to get insights into the potential mechanism involved in VACE-induced relaxations. The cumulative addition of VACE (0.15–0.75 mg/mL) relaxed, in a concentration-dependent manner, the rabbit aorta rings precontracted either with phenylephrine- or with high KCl thus suggesting calcium channel blocking activities. The VACE effect appeared to be endothelium-dependent. The preincubation with L-NAME (the inhibitor of nitric oxide synthases (NOS)), ODQ (the selective inhibitor of guanylyl cyclase), and indomethacin (the cyclooxygenase inhibitor), downregulated VACE-induced relaxation of aorta rings precontracted with phenylephrine, whereas the bradykinin (stimulator of NOS) and zaprinast (phosphodiesterase inhibitor) further upregulated relaxant effects induced by VACE. These results revealed that the aorta relaxation effect of VACE was mainly endothelium-dependent and mediated by NO/cGMP and prostaglandins synthesis. This vasodilator effect of VACE may be useful to treat cardiovascular disorders, including hypertensive diseases.
Multithreaded Multiswarm Model for Intelligent Economic Prosumer Load Dispatch for Battery Supported DC Microgrid
Authors: Sarin C. R. , Mani Geetha , Stonier Albert Alexander , Arivarasu M. , Samikannu Ravi , Murugesan Srinivasan
Published: March 2022

Economic load dispatch should be given special care even when the primary responsibility of any demand response model is to provide a consistent supply to the load. Demand can be satisfied by the utility grid as well as self-sustaining user sources. If a user generates excess power after meeting demand, the user can pool it and transfer it to the grid or neighboring consumers. This is referred to as the prosumer model, in which the user serves as both a producer and a consumer. Furthermore, some of the surplus power may be stored in energy storage devices. A sophisticated mathematical model is required to estimate how much power should be generated, pooled, pulled from the grid, gathered from close users, supplied to nearby customers, and so on. This paper tries to present a smart economic load dispatch model for a demand response system that combines a multithreaded swarm model with a reward-based reinforcement system to assure optimal source selection and power flow management. To identify the optimum cost-effective power sharing model among a user, the grid, and neighboring users, the system uses particle swarm optimization (PSO) and artificial bee colony (ABC) optimization. Both models have benefits and drawbacks, and not all models work well with all data input. Using two models at the same time consumes a significant amount of time and computational power. As a consequence, for each data input, an upper bound confidante (UBC) model is used in parallel to select the best economical swarm model based on a semisupervised reinforcement model. A weighted Boruvka’s algorithm based on transmission line cost and transmission loss is being used to construct an optimum economic power sharing model, which is backed by swarm models. The efficiency of each model is evaluated using the same data for both models, and error analysis is performed. It was discovered that each model performs differently for various data, and creating a reinforced multithreaded model helps to increase accuracy, reduce computing time, and improve efficiency.