bluuebunny/crossref_metadata_2025 huggingface dataset:
Design of English Teaching Sharing System Combining Internet of Things and Memory Mechanism
Authors: Guo Jie
Published: June 2022

In the era of Internet of Everything, English teaching has evolved continuously undergoing radical changes. Informatization and modern technologies are continuously promoting the reform of education, and the application of these technological tools makes information sharing a reality. Timely information sharing contributes to the development of English teaching as a part of curriculum requirements. As a consequence of this rapid progress, the theoretical and practical research on IoT-based English teaching sharing systems is also increasing. In this paper, we initiate an exhaustive research of the popular methodologies and then adopt LSTM network management platform data to address the shortcomings of the current teaching system has memory mechanism issues. At the outset, the standard English curriculum is discussed to establish the background, and then, data fusion among various types of information is considered. This is done by completely utilizing independent and scattered heterogeneous data in the information platform without changing or minimizing the information available in the shared system. Then, the information fusion is thoroughly analyzed resulting in the proposal of a multisource and multigranularity information fusion method based on a neural network. The method implements a study considering multisource heterogeneous data, which is followed by carrying out of functional design and process design. The paper also conducts a study on CNN-based multisource information association and designs information association algorithms to customize the dataset. Finally, the study of multigranularity feature fusion based on CNN and LSTM is implemented. The design relevant to granularity calculation algorithm helps in the customization of the dataset. The multigranularity feature fusion is conducted integrating CNN and LSTM. The experimental results show that the proposed method effectively integrates the scattered teaching information in the system, which is conducive to improving the utilization rate of teaching resources and simultaneously promoting the development of teaching information.
Effects of Pelvic Floor Muscle Massage on the Pregnancy Outcome of Frozen Embryo Transfer in Patients with Thin Endometrium
Authors: Shen Longying
Published: June 2022

Objective. To observe the effects of pelvic floor muscle mass on the priority outcome of frozen embryo transfer in patients with thin endometrium. Methods. The patients who were prepared for freeze-thaw embryo transfer were randomly divided into the study group and control group. Both groups of patients began to take estradiol valerate tablets 3 mg on the third day of menstrual cycle and added progesterone for luteal support after 14 days. Both groups selected high-quality embryos for embryo transfer on the day of embryo transfer. The basic information, embryo transfer, intimal thickness, intimal type, clinical pregnancy rate, and early abortion rate of the two groups were compared. Results. The intimal thickness of patients in the control group and the study group on the second day of menstruation was (

0.49
±
0.03

) and (

0.45
±
0.02

) and that before progesterone was (

1.17
±
0.03

) and (

1.20
±
0.04

), respectively (

P
<
0.05

). At the same time, the number of excellent embryos in the study group was significantly higher than that in the control group (

P
<
0.05

), but there was no significant difference in the number of transplants between the two groups (

P
>
0.05

). The proportion of intimal blood flow of type III + II in the study group was significantly higher than that in the control group (

P
<
0.05

). The main adverse pregnancy outcomes of the whole group included biochemical pregnancy, early abortion, and ectopic pregnancy. The incidence of biochemical pregnancy in the control group and the study group was 63.3% (38/60) and 40.0% (24/60), respectively. The incidence of biochemical pregnancy in the control group was significantly higher than that in the study group, but there was no significant difference in the incidence of early abortion and ectopic pregnancy between the two groups (

P
>
0.05

). Conclusion. Pelvic floor muscle massage can improve endometrial thickness and subendometrial blood flow, so as to improve the pregnancy rate of frozen thawed embryo transfer patients.
Analysis of the Running Ability Mining Model of Football Trainers Based on Dynamic Incremental Clustering Algorithm
Authors: Zhao Peng , Xue Fei , Zhang Xipeng
Published: June 2022

Fast-running ability is a very important basic quality of football players. However, players are dynamic. It is difficult for coaches to grasp the running speed, instantaneous acceleration, and other indicators of small athletes in real time with the naked eye. Therefore, to accurately test the performance of athletes in fast-running ability, this paper studies the running ability mining model of football coaches based on the dynamic incremental clustering algorithm. According to scientific procedures and methods, the evaluation model and standard of running ability of Chinese elite female football players are established. The effectiveness of the model is 0.83, as verified by the standard recognition method, which shows that the evaluation model is efficient. The research considers the denoising of the original data. The model has rich data and standard test methods and procedures. It can be used as a measure of the running ability of China’s elite female football players in a certain period and range. The research solves the problem of the insufficient running ability of domestic football players. It provides an important reference for training the next generation of excellent national football players.
Association between Oxidative Burden and Restenosis: A Case-Control Study
Authors: Ganjali Shiva , Mansouri Atena , Abbasifard Mitra , Moallem Seyed Adel , Tayarani-Najaran Zahra , Sahebkar Amirhossein
Published: June 2022

Background. In-stent restenosis (ISR) is an important clinical complication that occurs following stent implantation. The application of drug-eluting stents (DES) and even consumption of drugs such as antiplatelet agents and statins are not completely effective in reducing ISR risk. Since the number of these patients continues to rise, it is pivotal to detect patients who are at a higher risk of ISR. In addition, identification of biochemical markers of ISR could give the right perspective on choosing the proper strategy to treat these patients. Several pathophysiological pathways including oxidative stress (OS) are implicated in the progression of ISR. Hence, this study aimed to evaluate the association between oxidative/anti-oxidative markers and ISR. Methods. This was a case-control study which comprised 21 ISR, 26 NISR (non-ISR), and 20 healthy subjects. The serum levels of OS markers including malondialdehyde (MDA), thiol groups (GSH), total antioxidant capacity (TAC), and the activity of serum antioxidant enzymes such as glutathione peroxidase (GPx) and superoxide dismutase (SOD) were assessed by colorimetric methods. The overall oxidative burden was assessed using a pro-oxidant-antioxidant balance (PAB) assay. Results. MDA levels were considerably higher in the ISR group when compared to healthy subjects (

P
=
0.004

). PAB also indicated significantly higher values in both ISR (

P
<
0.001

) and NISR (

P
<
0.001

) groups related to healthy subjects. No significant differences were observed between the studied groups regarding thiol levels, antioxidant enzyme activities, and TAC. Multinomial logistic regression analysis showed that elevated serum levels of MDA (OR: 1.028, 95% CI: 1.008-1.048;

P
=
0.006

) and PAB (OR: 1.076, 95% CI: 1.017-1.139;

P
=
0.011

) were significantly associated with higher ISR risk; however, increased values of TAC (OR: 0.990, 95% CI: 0.982-0.999;

P
=
0.030

) were significantly associated with decreased ISR risk, while after adjustment for confounders, only SOD activity (OR: 0.0, 95% CI: 0.0-0.0;

P
<
0.001

) and PAB value (OR: 1.866, 95% CI: 1.856-1.900;

P
<
0.001

) showed association with ISR risk. Conclusion. According to the present findings, some oxidative and antioxidative markers like PAB and SOD activity showed the potential in the prediction of ISR risk.
Acclimation of Ecophysiological and Agronomic Traits to Increasing Growth Temperature in Three Cowpea Genotypes Grown in Anuradhapura, Sri Lanka
Authors: Wijayaraja Imanthi , Piyarathne Malika , Alahakoon Thilakshi , Devasinghe Udeni , Weerasinghe Lasantha , Kumarathunge Dushan , Dissanayake Dharmasiri , Egodawatta Chaminda , Geekiyanage Nalaka
Published: June 2022

The future of food crop production is uncertain due to the negative effects of global warming. Cowpea is grown in warm environments including in Sri Lanka, where less is known about the potential acclimation of ecophysiological and agronomic traits to increasing temperatures. We evaluated the acclimation potential of yield components and ecophysiological traits of three recommended cowpea genotypes to the seasonal variation in growth temperature in Anuradhapura, Sri Lanka. This study was conducted at the Faculty of Agriculture, Rajarata University of Sri Lanka, in two consecutive seasons with average daytime temperatures of 30.4°C and 33.2°C. Three genotypes, Dhawala, Waruni, and MI-35, were tested in this study, and their rates of leaf photosynthesis and respiration at the 50% flowering stage and final yield parameters were measured at their respective average growth temperatures in both seasons. The total yield per hectare showed an average decrease of 16%, 17%, and 22% in the Dhawala, Waruni, and MI-35 genotypes at high average growth temperature, respectively. These reductions were associated with the reduction in the number of seeds per pod, hundred seed weight, and number of pods per plant, suggesting that there could be an among-genotype variation in flower abscission, fertilization, and biomass partitioning during the season in which the average growth temperature was high. In the season with high average growth temperature, genotype Dhawala showed an increased carbon gain per unit carbon loss and increased water use efficiency compared to MI-35 and Waruni genotypes. Therefore, genotype Dhawala is a better candidate than MI-35 and Waruni genotypes in the face of global warming, which may be considered in further breeding programs and market preferences. More work is proposed to examine the patterns of biomass partitioning and radiation use efficiency in three cowpea genotypes at elevated temperatures.
An Efficient Anchor-Free Face Detector with Attention Mechanisms
Authors: Zhu Xiangxian , Lou Yilun
Published: June 2022

Enormous progress has been made in face detection tasks due to the rapid development of deep learning techniques. Meanwhile, debates arise on whether face detection should be treated as a generic object detection task or considered differently. In this paper, we design an efficient anchor-free face detector that focuses on a low flops regime and combines recent advances in generic object detection with the methods for detecting tiny faces. Specifically, we adopt the anchor-free Fully Convolutional One-Stage (FCOS) method with a recently developed Visual Attention Network (VAN) as the base detector. In accordance with the characteristics of the face dataset, we reallocate the computation across the network components by adjusting the network configurations of the base detector. Then we redesign the criteria for marking positive samples to realize a balanced distribution in pixel maps, and we also adopt the quadruple pixel prediction, which enables more positive samples matched with the model outputs. Under VGA resolution, our face detector achieves 70.5% in AP on the hard subset of the WIDER FACE dataset, while the computational cost is only 1.05 Gflops. This accuracy efficiency trade-off is comparable to state-of-the-art results.
Analyzing College Students’ Reading Behavior by AI Techniques
Authors: Zheng Fangxia
Published: June 2022

In order to deeply understand the requirements of artificial in the evaluation of high school reading behavior education, first of all, we compare the differences between reading behavior evaluations empowered by artificial intelligence and unwritten reading evaluations. Subsequently, the connotation of intelligent educational evaluations is revealed and combined. And skill education evaluation is divided into comprehension diagnosis evaluation. Libraries are places for the dissemination of (appellation) wisdom, the might office for the promotion of inn editions, and can provide a multifariousness of lection resources. The aware classroom of the library is to use communicative slaves to transfer readers to enjoy reading, to extract valuable scholarship from compacted documents, and to have the capability to exactly decay and solve problems. By insert the artificial intelligence (AI) techniques, manifold intelligent technologies such as arrange learning and semantic web last to emerge. The intelligent evaluation display plan for intelligently assists the English version of reading evaluation in high schools provides more subjective and accurate evaluations for English reading classroom readings, reduces teachers’ knowledge pressure, and improves students’ timely and effective erudite audio feedback.
Quantitative Analysis of Multicomponents in Qufeng Zhitong Capsule and Application of Network Pharmacology to Explore the Anti-Inflammatory Activity of Focused Compounds
Authors: Xue Mengjie , Zhao Yuting , Cui Ying , Yang Jing , Wang Yuefei , Chai Xin
Published: June 2022

Qufeng Zhitong capsule (QZC) is a well-known Chinese patent medicine that has been widely applied for the clinical treatment of rheumatoid arthritis and other inflammatory diseases. To date, its material basis is still unclear, which has greatly limited its clinical application. In this study, by taking advantage of ultra-high-performance liquid chromatography tandem Q-Exactive Orbitrap high-resolution mass spectrometry, 16 chemical components such as gallic acid, protocatechuic acid, and neochlorogenic acid in QZC were characterized and unambiguously identified based on comparison with the corresponding reference standards. In addition, the correlation between the focused components and their corresponding raw herbs from QZC prescription was investigated. For the first time, the relationship between the components mentioned above and their anti-inflammatory activity was explored via network pharmacology analysis, and a visualized network of “medicinal materials-QZC-compounds-targets-pathways” was established. Based on the brief prediction results of network pharmacological analysis, ultra-performance liquid chromatography coupled with photodiode array detector method was validated in terms of linearity, limit of detection, limit of quantification, precision, repeatability, stability, and recovery test and was successfully employed to determine 16 compounds in 28 batches of QZCs, which confirmed the feasibility and reliability of the established method for the quantitative analysis of 16 compounds in QZC. Considering the content and bioactivity of the tested components, four compounds were recommended as candidate indicators for quality evaluation ultimately. The potential value of this study could not only support a quality evaluation of QZC but also provide a theoretical basis for further in-depth research of QZC in clinical research.
Design Method of Smart City Public Planning under the Constraint of Public Acceptability
Authors: Pi Ben , Liu Pinghui
Published: June 2022

In order to improve the design effect of smart city public planning, this paper studies the design method of urban public planning under the constraint of public acceptability and designs the corresponding intelligent system. Moreover, from the perspective of the planning system and practical application, this paper is devoted to improve the performance of the planning system and expand the application field of planning technology. In addition, this paper analyzes and studies the preprocessing stage and the planning search stage of the planning system and applies its domain knowledge modeling to practical planning problems. The experimental research results show that intelligent public urban planning and design method proposed in this paper under the public acceptable constraints has a good effect.
Waveform Feature Extraction of Intelligent Singing Skills under the Background of Internet of Things
Authors: Luo Chengping
Published: June 2022

Aiming at the complex and changeable characteristics of intelligent singing skills in the context of Internet of Things, this paper proposes a feature extraction method suitable for intelligent singing skills in this context. Firstly, focusing on vocal features, the time-domain algorithm based on open-loop and closed-loop gene extraction extracts the genetic features of songs with accompaniment; then, the section and its features are extracted by using the windowed moving matching algorithm, and the segments are divided by using the similarity between adjacent segments to obtain the segment features with emotional factors. The segment features are input into the improved BP emotion recognizer for emotion recognition. Finally, the intelligent singing skills of the whole music are determined. The experimental results show that, with the increase in feature extraction time, the accuracy of the extraction results of the existing methods changes little, which is basically maintained at a low level between 15% and 30%. When the proposed method is for feature extraction of intelligent singing skill information, the accuracy shows a continuous growth trend, and with the growth of time, its accuracy is significantly higher than the existing methods, indicating that the proposed method has significant advantages in the accuracy of feature extraction. Because this waveform feature extraction method is applied to the intelligent singing skills under the background of the Internet of Things, it has the advantages of high extraction efficiency, high accuracy, and reliability.
Mining Cryptocurrency-Based Security Using Renewable Energy as Source
Authors: Gundaboina Lokesh , Badotra Sumit , Bhatia Tarandeep Kaur , Sharma Kulbhushan , Mehmood Gulzar , Fayaz Muhammad , Khan Inam Ullah
Published: June 2022

Cryptocurrency mining and blockchain technology using renewable energy as the main electricity source has gained attention for sustainable development in financial areas. However, very few studies have been reported concerning the power usage of cryptocurrencies using renewable energy. In this article, we report the effect of overclocking and undervolting on power usage and the hash rate for mining dogecoin with solar energy as renewable energy. The mining rig used in this work consists of different graphics processing units (GPUs) and non-LHR (lite hash rate) cards. The UnMineable software has been used for mining dogecoin as well as for wallet integration. The results indicate that mining dogecoin with solar energy as renewable energy consumes 2000 Watts power with overclocking and 1700 Watts power with undervolting technique. This work implicates the potential future of crypto-mining with renewable energy and the hardware configuration associated with it, which is expected to reduce e-waste and improve sustainable development. To reduce the e-waste and high electricity consumption, we have introduced two important techniques named GPU optimization and use of renewable energy for mining, which helps the miners to reduce the e-waste and electricity consumption significantly at the same time getting most out of the GPU by not having any impact on the environment.
Analysis of Co-Construction and Sharing Mechanism of Digital Education Resources based on Digital Information Encryption Technology
Authors: Zhang Mingbao , Xiang Li
Published: June 2022

In order to solve the problem of information security, the process of digital resource development and integration has become the key. A method based on focusing on the development and integration of digital instructions is proposed, which discusses digital data encryption in detail, focusing on the DES algorithm in the symmetric encryption algorithm and the RSA algorithm in the asymmetric encryption algorithm and conducts a security evaluation. Through comparative analysis, the comprehensive communication system based on the combination of DES encryption algorithm and RSA encryption algorithm aims to realize the integration and sharing of digital display. Through experimental analysis and comparison with traditional commonly used encryption methods, 64-bit keys are very easy to generate, but the keys must be distributed before communication, and the keys must be changed from time to time. In this way, key management consumes a lot of system overhead. From the final experimental data, it can be concluded that the encryption algorithm has performance advantages over the separate DES and RSA algorithms.
Network Pharmacology and Bioinformatics Methods Reveal the Mechanism of Berberine in the Treatment of Ischaemic Stroke
Authors: Song Ke , Sun Yikun , Liu Haoqi , Li Yuanyuan , An Na , Wang Liqin , Zhang Hanlai , Yang Fan , Xing Yanwei , Gao Yonghong
Published: June 2022

Aim. To elucidate the mechanism of action of berberine on ischaemic stroke based on network pharmacology, bioinformatics, and experimental verification. Methods. Berberine-related long noncoding RNAs (lncRNAs) were screened from public databases. Differentially expressed lncRNAs in ischaemic stroke were retrieved from the Gene Expression Omnibus (GEO) database. GSE102541 was comprehensively analysed using GEO2R. The correlation between lncRNAs and ischaemic stroke was evaluated by the mammalian noncoding RNA-disease repository (MNDR) database. The component-target-disease network and protein-protein interaction (PPI) network of berberine in the treatment of ischaemic stroke were constructed by using network pharmacology. We then performed gene ontology (GO) and Kyoto Encyclopaedia of Genes and Genomes (KEGG) enrichment analyses. Finally, according to the molecular docking analysis and the binding probability between the lncRNA and key proteins, the effectiveness of the results was further verified by in vitro experiments. Results. After matching stroke-related lncRNAs with berberine-related lncRNAs, four genes were selected as potential targets of berberine in the treatment of ischaemic stroke. Subsequently, lncRNA H19 was identified as the potential crucial regulatory lncRNA of berberine. Here, 52 target proteins of berberine in the treatment of ischaemic stroke were identified through database mining. Through topological analysis, 20 key targets were identified which were enriched in inflammation, apoptosis, and immunity. Molecular docking results showed that MAPK8, JUN, and EGFR were central genes. Finally, in vitro experiments demonstrated that lncRNA H19, p-JNK1/JNK1, p-c-Jun/c-Jun, and EGFR expressions were significantly increased in hypoxia-treated SH-SY5Y cells and were restored by berberine treatment. Conclusion. The potential targets and biological effects of berberine in the treatment of ischaemic stroke were predicted in this study. The lncRNA H19/EGFR/JNK1/c-Jun signalling pathway may be a key mechanism of berberine-induced neuroprotection in ischaemic stroke.
LINC00092 Modulates Oxidative Stress and Glycolysis of Breast Cancer Cells via Pyruvate Carboxylase-Mediated AKT/mTOR Pathway
Authors: Chen Wei , Liu Yushan , Kang Shaohong , Lv Xinying , Fu Wenfen , Zhang Jie , Song Chuangui
Published: June 2022

Background. The discovery of noncoding RNAs (ncRNAs) offers new options for cancer-targeted therapy. This study is aimed at exploring the regulatory function of LINC00092 on breast cancer (BC) oxidative stress and glycolysis, along with internal mechanism concerning pyruvate carboxylase (PC). Methods. Bioinformatics analysis was used to explore LINC00092 (or friend leukemia virus integration 1 (FLI1)) expression on BC progression, as well as oxidative stress and glycolysis in BC. After LINC00092 overexpression or silence, BC cell viability, proliferation, migration, invasion, oxidative stress, glycolysis, and AKT/mTOR pathway were detected. Following 2-DG, SC79, or MK2206 treatment, effects of LINC00092 on BC cells were measured. Moreover, regulatory activity of LINC00092 in PC expression was analyzed. Whether PC participated in the modulation of LINC00092 on BC cell functions was explored. Results. LINC00092 was lowly expressed in BC and negatively related to BC progression. FLI1 bound to LINC00092 promoter to positively modulate LINC00092. LINC00092 overexpression inhibited BC cell proliferation, migration, invasion, oxidative stress, glycolysis, and AKT/mTOR pathway and likewise suppressed BC growth in vivo. Silence of LINC00092 had opposite influences. 2-DG partially reversed the LINC00092 silence-resulted increase of BC cell proliferation. SC79 alleviated the function of LINC00092 overexpression on BC cell functions. MK2206 had the contrary influence of SC79. Besides, LINC00092 bound to PC to modulate ubiquitination degradation of PC protein. PC took part in the influences of LINC00092 on BC cell functions. Conclusions. LINC0092 modulates oxidative stress and glycolysis of BC cells via the PC-mediated AKT/mTOR pathway, which is possibly a target for BC diagnosis and therapy.
Measures for Airlines to Reduce Airport Congestion Fees: Scheme Design and Performance Assessment
Authors: Wang Xinjian
Published: June 2022

Congestion at busy airports has become one of the major bottlenecks to air transportation development around the world. Airport congestion pricing is one of the most popular market-based mechanisms to relieve airport congestion. This study develops a steady-state congestion model, which considers the market power of airlines and the costs of externalities (i.e., airlines, passengers, and the environment), to estimate congestion fees for different times and queue lengths. To reduce airport congestion fees, we propose and discuss two different options for airlines: schedule adjustment and flight merging in detail from the views of economic, operational, and environmental benefits, and provide a comparative performance analysis of two different measures using an empirical example of Guangzhou Baiyun International Airport (CAN). Our analysis shows that: (1) during the peak period, the congestion fees for one specific flight (operated by B738) may exceed 10,000 RMB, even reach 25,000 RMB; (2) both the methods can relieve congestion and effectively reduce congestion fees; (3) in the CAN case, flight merging by a bigger aircraft B744 is more effective in congestion relief, total fees reduction, and emission mitigation; and (4) schedule adjustment has a better performance of reducing fees per adjusted flight and is more simple and straightforward. We also provide several recommendations to relieve congestion and cut congestion fees.
A Study on China’s Cultural Product Export Trade and Its Forecast Based on Hausmann’s Export Complexity
Authors: Ye Juhua , Luo Xinxing
Published: June 2022

The cultural and creative industries are another fast-growing new industry after the information technology industry and have become a major driving force in global international trade and economic development. In this paper, the index of “export complexity” is chosen to measure the export complexity of cultural and creative products in China and 42 representative countries selected by UNCTAD’s “Creative Economy” database for measurement and comparative analysis. This paper uses a grey prediction model to forecast the relative export complexity of China’s cultural and creative products. The prediction results show that from 2016 to 2025, the relative export complexity of China’s cultural and creative products is less than 1, but the value is increasing, and the gap between the export structure of China’s cultural and creative products and the global average in the increasingly competitive international market will narrow year by year.
IFN-γ induces PD-L1 through p38/JNK/ERK signaling pathways and counteracts the tumor promoting effect mediated by PD-L1 in Glioblastoma
Authors: Jia Huafang , Xie Xiaoli , Wang Long , Wang Lijuan , Che Fengyuan
Published: June 2022

Glioblastoma is the most malignant primary glioma. Conventional treatment methods that include surgery, radiotherapy, and chemotherapy have a limited curative effect on the tumor. With the deepening of molecular biology research, molecular targeted therapy has opened a new era of tumor therapy. Programmed death ligand 1 (PD-L1) has been proved to play a pivotal role in the tumor immune evasion process. Previous studies have confirmed the specific expression of PD-L1 in glioblastoma tissues and cells, but there are few studies on inflammation regulating PD-L1 in glioblastoma. In this study, real-time PCR, flow cytometry, and western blot were applied to detect PD-L1 in glioblastoma cells. Short hairpin RNA was used to knock down PD-L1 in glioblastoma cells. Cell counting kit-8 experiment and wound-healing assay were used to detect the proliferation and migration of glioblastoma cells. Here we demonstrated that PD-L1 was overexpressed in glioblastoma cells, and interferon-gamma (IFN-γ) induces PD-L1 in glioblastoma cells via activating p38/JNK/ERK signaling pathways. To summarize, PD-L1 promotes the occurrence and development of glioblastoma. IFN-γ counteracts the tumor-promoting effects mediated by PD-L1 in glioblastoma. IFN-γ regulates PD-L1 through multiple signaling pathways, but the total effect of IFN-γ-mediated inflammatory signals still need to be further explored in glioblastoma. PD-L1 enhances the proliferation and migration of glioblastoma cells by regulating CDK4, CDK6, MMP-2, and vimentin molecules. Most importantly, targeting PD-L1 can be applied in the treatment of glioblastoma. We speculate that IFN-γ may affect glioblastoma through other pathways, and we will continue to further explore the mechanisms in the future.
Design of a Blockchain-Based Traceability System with a Privacy-Preserving Scheme of Zero-Knowledge Proof
Authors: Xue Yudai , Wang Jinsong
Published: June 2022

With the fast development of the industrial Internet, its interconnectivity poses new challenges for the cooperation of industrial entities. Cooperation among these entities is built on trust, and trust is based on high-quality industrial products at reasonable prices. A traceability system can play an essential role in objectively reflecting the production process and promoting this trust. However, traditional traceability systems often have data privacy issues. Because traceability data are collected or generated during the production process (namely, production-related data), they could be considered privacy data. Several researchers have introduced privacy protection schemes into the traceability system, such as authentication or encryption. Nevertheless, when a privacy protection scheme is established, the original data are disclosed to the legal user of the system, but the data may still be leaked intentionally or unintentionally. Except for data privacy issues, a traditional traceability system can be vulnerable to network attacks, data unavailability, and reliability issues. The authors conducted a study to overcome these shortcomings, and this paper reports the results. We built a traceability prototype system using a blockchain protocol and a zero-knowledge proof method. First, we built a blockchain to record key production process data, aiming to maintain data reliability and availability. Second, through an analysis of traceability purpose using production knowledge, the traceability purpose could be divided into multiple provable statements. By introducing privacy protection through a zero-knowledge proof, the traceability process was converted to proving relative statements. Finally, the statements were validated by a smart contract that provided openness and reliability during the traceability process. Analysis has shown that our approach could meet the requirements for high security and privacy. In addition, the paper also discusses the calculation cost of the traceability process to show our work’s viability. The traceability system described in this paper creates new possibilities for constructing a healthy and reliable trust relationship between production entities to provide further support in the development of the industrial Internet.
Realization of Intelligent Scoring System of Taekwondo Protective Gear under the Application of Neural Network BP Model
Authors: Xie Xiaoqing , Tan Fei
Published: June 2022

This article presents the novel design of the technology acceptance model to create a predictive model of whether or not people will accept Taekwondo safety gear. A survey containing 28 items was completed by 200 collegiate Taekwondo practitioners associated with the Taekwondo Association. A significance level of 0.05 was employed for the correlation and structural equation modeling analyses. The perceived usefulness of the proposed system is practical compared to the existing system, which is significantly influenced by perceived quality. Perceived ease of use and perceived usefulness were also unaffected by visual beauty. Wearability had a substantial impact on perceived ease of use but significantly negatively impacted perceived usefulness. Perceived ease of use and perceived usefulness were not affected by the functionality of the proposed system. Perceived usefulness is significantly influenced by perceived ease of use, and the acceptance intention is affected by perceived usefulness which also affects the system’s performance. These findings imply that increasing the device’s perceived quality and wearability will increase its acceptance. This research shows an adequate verification model to validate the desired range of signals to accept Taekwondo electronic protective devices.
Decision Model of Wireless Communication Scheme Evaluation via Interval Number
Authors: Li Man , Ouyang Yuhong , Kang Wenqian , Che Xiangbei , Ye Ruixian
Published: June 2022

This study aims to evaluate the communication schemes of wireless communication systems to make reasonable decisions. Firstly, the wireless communication scheme is assessed based on the interval number technology, and the primary evaluation process and evaluation index system are described. Secondly, the analytic hierarchy process of interval numbers is studied. Besides, a decision model has been established for wireless communication scheme evaluation. Thirdly, the evaluation index of the wireless communication scheme is determined through the simulation analysis of the model. Finally, experiments verify the decision model for evaluating wireless communication schemes based on interval numbers. Channel encoding can be adjusted automatically and can effectively track electrical signals. The results demonstrate that under the same high signal-to-noise ratio (SNR), the error rate in the 16 quadrature amplitude modulation (QAM) mode decreases faster than that in the 2 frequency shift keying (FSK) mode, so the 16QAM mode is better than the 2FSK mode. Under a low SNR, the binary phase shift keying mode is superior to the 2FSK mode, and the 2FSK mode is superior to the 16QAM mode. The bit error rate of the communication signal in the additive white Gaussian noise channel is the lowest. These findings provide a solid foundation for a universal and scalable wireless communication system. This research has practical application value for scheme evaluation and model decision-making in the wireless communication field. Models need to be tested and evaluated based on large amounts of statistical data in future studies.
Artificial Intelligence-Based Translation Technology in Translation Teaching
Authors: Kong Linghui
Published: June 2022

With the advent of the era of artificial intelligence revolution, deep learning is undoubtedly injecting new vitality into machine translation technology. In the context of artificial intelligence, teachers must find new and effective teaching ideas to improve the actual effect of translation teaching, which has drawn the attention of university teachers in recent years. With the development of society and the change of the times, English is becoming one of the implicit requirements of society for talents. Not only in the context of the new changes in curriculum, English teaching in schools and teachers is no longer limited to examinations, but more importantly, it is also significant to cultivate students’ comprehensive English ability so that they can really use their English knowledge and solve practical problems in life. On this basis, this paper investigates the practice of teaching English in college in the context of artificial intelligence.
Identification of Potential miRNA‐mRNA Regulatory Network in Denervated Muscular Atrophy by Bioinformatic Analysis
Authors: Wang Jianhua , Liu Yuhang , Zhang Yongming , Liu Bin , Wei Zhijian
Published: June 2022

Muscle atrophy caused by long‐term denervation leads to the loss of skeletal muscle mass and strength, resulting in a poor recovery of functional muscles and decreasing quality of life. Increasing differentially expressed microRNAs (DEMs) have been reported to be involved in the pathogenesis of denervated muscle atrophy. However, there is still insufficient evidence to explain the role of miRNAs and their target genes in skeletal muscle atrophy. Therefore, an integrative exploration of the miRNA‐mRNA regulatory network in denervated muscle atrophy is necessary. A total of 21 (16 upregulated and 5 downregulated) DEMs were screened out in the GSE81914 dataset. Med1, Myod1, Nfkb1, Rela, and Camta1 were predicted and verified to be significantly upregulated in denervated muscle atrophy, from which 6 key TF‐miRNA relationship pairs, including Med1‐mir‐1949, Med1‐mir‐146b, Myod1‐mir‐29b, Nfkb1‐mir‐21, Rela‐mir‐21, and Camta1‐mir‐132, were obtained. 60 target genes were then predicted by submitting candidate DEMs to the miRNet database. GO and KEGG pathway enrichment analysis showed that target genes of DEMs were mainly enriched in the apoptotic process and PI3K/Akt signaling pathway. Through the PPI network construction, key modules and hub genes were obtained and potentially modulated by mir‐29b, mir‐132, and mir‐133a. According to the qRT‐PCR results, the expression of COL1A1 and Ctgf is opposite to their related miRNAs in denervated muscle atrophy. In the study, a potential miRNA‐mRNA regulatory network was firstly constructed in denervated muscle atrophy, in which the mir‐29b‐COL1A1 and mir‐133a‐Ctgf pathways may provide new insights into the pathogenesis and treatment.
Conceptions and Viewpoints of English as a Foreign Language Undergraduate Students towards Flipped Instructed Classroom
Authors: Hasan Md. Kamrul , Ibna Seraj Prodhan Mahbub , Fakih Abdul-Hafeed , Klimova Blanka
Published: June 2022

There have been extensive studies that have investigated the favourable impacts of flipped classroom instruction regarding the introductory language/first language (i.e., L1) setting. However, there is limited research about the effect of flipped classroom instruction in foreign language backdrop in Asia, particularly in Bangladesh. The purpose of this study is to investigate the perceptions and attitudes of the undergraduate Bangladeshis learners towards the flipped learning classroom method. The current study employed an explanatory sequential design under mixed-methods among a sample of two hundred students. A questionnaire and semistructured interview as research instruments were used to collect data in this study. The results of the questionnaire revealed that the flipped learning strategy assisted students in learning grammar. Furthermore, learners had favourable conceptions and viewpoints regarding the flipped classroom instruction method. Correspondingly, the results of the interview which was semistructured in nature highlighted foursome key characteristics of the flipped classroom instruction method: collaboration, improvement of relationship, use of more technology, and favourable learning environment. This research might be of interest to English teachers, students, researchers, and other stakeholders as well.
FSCN1 Promotes Glycolysis and Epithelial-Mesenchymal Transition in Prostate Cancer through a YAP/TAZ Signaling Pathway
Authors: Li Minghui , Gao Zhiming , Ding Honglin , Wang Zhanhua , Mu Hada , Zhang Lei , Wei Jiufu , Ma Zhanshu
Published: June 2022

Objective. The aim of the study is to investigate the role and possible mechanism of fascin-1 (FSCN1) in the invasion, migration, glycolysis, and epithelial-mesenchymal transition (EMT) of prostate cancer. Methods. Real-time quantitative polymerase chain reaction (qRT-PCR) was utilized to determine the mRNA expression level of FSCN1 in prostate cancer tissues and prostate cancer cells PC-3 and DU145. The transwell and the scratch test were applied to detect the invasion and migration abilities of cells, respectively. A metabolic assay was used for measuring the glucose consumption, lactate production, and the extracellular acidification rate (ECAR) in cells; western blot was used for checking FSCN1, EMT, and yes-associated protein/transcriptional co-activators with the PDZ-binding motif (YAP/TAZ) signaling pathway-related protein expression level in cells or tissues. Results. FSCN1 was significantly highly expressed in prostate cancer tissues and cells. On the one hand, interference with the expression of FSCN1 could inhibit the invasion, migration, EMT, and glycolysis of prostate cancer cells. On the other hand, overexpression of FSCN1 promoted the invasion, migration, EMT, and glycolysis of prostate cancer cells. Besides, further mechanistic studies revealed that FSCN1 could activate the YAP/TAZ signaling pathway in prostate cancer cells. Conclusion. FSCN1 promotes invasion, migration, EMT, and glycolysis in prostate cancer cells by activating the YAP/TAZ signaling pathway. FSCN1 may be used as a biomarker for the diagnosis or treatment in prostate cancer.
Physical Layer Security Technology Based on Nonorthogonal Multiple Access Communication
Authors: Wei Qingmei , Wang Buhong , Cao Kunrui
Published: June 2022

NOMA (nonorthogonal multiple access) technology is an effective technical means to improve spectral efficiency and system capacity. At present, due to the proliferation of access devices and other reasons, the network security communication is facing very serious challenges. This research combines TAS (antenna selection) technology and AN (artificial noise) technology, applies them to NOMA system, and proposes a physical layer optimized security transmission scheme in which AN signals are superimposed at the base station. In this scheme, a part of the total power is divided into the AN signal, and the AN signal and the useful information are superimposed and encoded for transmission. The exact solution of SOP and the asymptotic solution under high signal-to-noise ratio are obtained by mathematical derivation. Moreover, the influence of the power allocation coefficient and target rate of legitimate users on the security performance of the physical layer is explored. The study found that when the solution proposed in this study is adopted, when the fixed SOP size is 10−2, taking the ideal SOP curve as the benchmark, it can be observed that the RHI only occurs when the user node is eavesdropped, and performance improvement of about 2 dB can be obtained. This is because only the system eavesdropping user performance is degraded at this time, so the security performance is improved. In addition, under the same SOP performance, the user is closer to the legal node and can obtain a better channel to resist fading and eavesdropping. The scheme proposed in this study effectively improves the security performance of the NOMA scenario and provides some theoretical guidance for the design process of the secure communication system.
Optimization of the Spark Plasma Sintering Process for High-Volume Fraction Tungsten Carbide/Al 2025 Composites
Authors: Mahesha C. R. , R Suprabha , Polayya Chintada , Rinawa Moti Lal , Sakthi T. , Munjal Neha , Komalnu Raghavan Ishwarya , Ganeshan P. , C Chanakyan
Published: June 2022

With an orthogonal experimental design, Spark plasma sintering method was used to create tungsten carbide with Al 2025 composites. Pressure, temperature, and hold time all had an influence on the mechanical characteristics of the composites. Pressure had the greatest effect on density and bending strength, followed by temperature and holding duration. After five minutes of sintering at 556°C under 40 MPa, a 50% tungsten carbide/Al 2025 composite material was produced, resulting in a density of 997.7 percent and a spectacular bending strength of 766.65 MPa. This study revealed the ability of high-volume fraction mixes to support huge loads.
Voice Anomaly Detection and Music Website Teaching Design for 5G Internet of Things
Authors: Chen Jin
Published: June 2022

Information technology has brought tremendous changes to many industries. 5G and Internet of Things technology have also driven the development of the music industry. Network communication has replaced the traditional method and has become a brand-new method of music communication. An online music instructional teaching website based on Internet of Things is designed, the basic functions of the website are introduced, and a voice anomaly detection system was designed from the landing test, search function test, song display, administrator maintenance, and management of songs. The basic functions of the website were tested in four aspects. According to the needs of music websites, a voice anomaly detection system is designed. The system includes two aspects, namely, an abnormal sound classification system and a microphone array abnormal sound detection system; two music rhythm algorithms are proposed, based on international music detection. The music data of the wrong retrieval platform was tested on two different music algorithms, and it was found that the two different detection methods have different results for different types of music, and the Bossa-Brazil music type has the highest error rate. In order to detect the accuracy of the detection of the abnormal voice system, a comparison experiment of three different voice detection systems was set up under the condition of no noise and noise, to test their experimental accuracy. The music teaching system designed in this paper has the highest accuracy, which can meet most of the requirements and improve the efficiency of music detection. In the design of music teaching, because the music website has rich functions and various products, it improves the effect of online teaching and the efficiency of teaching design. Instructional design is applied to online learning to improve the dissemination of music and art, and high-quality pronunciation is also one of the important contents.