bluuebunny/crossref_metadata_2025 huggingface dataset:
Multimodality and Computational Intelligence-Enabled Intercultural Communicative Competence of College-English-Teaching Students
Authors: Zhang Hua , Liu Xuelin
Published: April 2022

With the intensification of global economic integration, international exchanges have become increasingly frequent, and employers have put forward higher requirements for ICC (Intercultural Communication Competence) of college students. In this paper, in ICC mode, the multimodal evaluation model framework of ICC is constructed by using multimodal theory. The evaluation object is Chinese college students, the evaluation media are computers and networks, and the evaluation contents include knowledge, consciousness, speculation, attitude, skills, and strategies of cross-cultural communication. The research results will help Chinese college students overcome their fears during the cross-cultural communications, meanwhile,can strengthen the cultivation of ICC for students as well. After comprehensive consideration of various influencing factors, comparing the overall teaching quality of universities of different grades or the same grade can objectively reflect the overall teaching level of the university, hoping to provide some reference for the application of multimodal discourse analysis theory and CET (college English teaching).
Semantic-Based Multi-Keyword Ranked Search Schemes over Encrypted Cloud Data
Authors: Hu Zheng , Dai Hua , Yang Geng , Yi Xun , Sheng Wenjie
Published: April 2022

Traditional searchable encryption schemes construct document vectors based on the term frequency-inverse document frequency (TF-IDF) model. Such vectors are not only high-dimensional and sparse but also ignore the semantic information of the documents. The Sentence Bidirectional Encoder Representations from Transformers (SBERT) model can be used to train vectors containing document semantic information to realize semantic-aware multi-keyword search. In this paper, we propose a privacy-preserving searchable encryption scheme based on the SBERT model. The SBERT model is used to train vectors containing the semantic information of documents, and these document vectors are then used as input to the Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN) clustering algorithm. The HDBSCAN algorithm generates a soft cluster membership vector for each document. We treat each cluster as a topic, and the vector represents the probability that the document belongs to each topic. According to the clustering process in the schemes, the topic-term frequency-inverse topic frequency (TTF-ITF) model is proposed to generate keyword topic vectors. Through the SBERT model, searchable encryption scheme can achieve more precise semantic-aware keyword search. At the same time, the special index tree is used to improve search efficiency. The experimental results on real datasets prove the effectiveness of our scheme.
Tumor-Derived Exosome FGD5-AS1 Promotes Angiogenesis, Vascular Permeability, and Metastasis in Thyroid Cancer by Targeting the miR-6838-5p/VAV2 Axis
Authors: Liu Bo , Chen Jiaming , Shang Fangjian , Lian Meng , Shen Xixi , Fang Jugao
Published: April 2022

Exosomes are small vesicles with a diameter of 30~150 nm secreted by cells, which are rich in mRNA, microRNA, and long noncoding RNA (lncRNA). The biological functions of most exosomal lncRNAs are not well understood. Studies have shown that tumor exosome FGD5-AS1 plays an important role in the proliferation, migration, and invasion of tumor cells. In this study, SW1736 and KAT18 TC cells with high expression of FGD5-AS1 were screened. Exosomes with high expression of FGD5-AS1 were collected. The collected exosomes were then added to HUVEC cells. After incubation for 24 h, the effects on the proliferation and migration of HUVEC cells and vascular permeability were detected. The results showed that TC cells SW1736 and KAT18 could secrete a large number of exosomes, which could be taken up by HUVEC cells. Overexpression of FGD5-AS1 enhanced proliferation, migration, angiogenesis, and permeability of HUVEC. This effect is achieved through activation of the miR-6838-5p/VAV2 axis. These results suggest that FGD5-AS1 in tumor-derived exoskeleton promotes angiogenesis, vascular permeability, and metastasis by regulating the endothelial miR-6838-5p/VAV2 axis and ultimately promotes the occurrence and development of TC.
Bus Predictive-Control Method considering the Impact of Traffic Lights
Authors: Li Maosheng , Li Yao
Published: April 2022

Amid the COVID-19 pandemic, many travelers have switched from public transit to other modes. How to maintain the stability and service quality of the bus system under regular pandemic prevention and control, so as to maintain the attractiveness of the bus, is an important research direction. Predicting operation states and adopting appropriate control measures for running buses are effective means of improving the bus system’s schedule reliability and service quality. Focusing on the impacts of intersection traffic lights on the link’s travel time durations, we establish a probabilistic prediction model for bus headways, classifying the bus headways into three states: bunching, stable, and big gap states. Based on the prediction of bus headways, the most suitable control strategy is selected by the proposed method from the plan set, such as holding control, speed-adjusting control, and stop-skipping control to minimize the bus headway deviation. Simulation experiments were employed to verify the effectiveness of the proposed method. Compared with the no-control situation, the expected headway variation, average passenger waiting time, and bus bunching frequency for 100 simulations by the proposed method are reduced by 77.73%, 41.66%, and 87.11%, respectively. Compared with some control methods without prediction, the proposed method is more robust, maintains good control performance, and reduces bus bunching despite significant variations in environmental parameters. In addition, the model still performs well when considering the execution errors of bus drivers.
Determining the Geographical Origin of Fuji Apple from China by Multivariate Analysis Based on Soluble Sugars, Organic Acids, and Stable Isotopes
Authors: Zhang Hui , Nie Jiyun , Tong Zhaoguo , Li Jing , Li An , Shen Youming , Zhang Jia , Kuang Lixue
Published: April 2022

The aim of this study was to explore the regional characteristics of soluble sugars, organic acids, and stable isotopes (δ2H, δ18O, and δ13C) in Fuji apple and the viability of tracing the geographical origin. Totally, 181 Fuji apple samples from 2017 and 2018 from three main apple production regions in China, Bohai Bay (BHB), Loess Plateau (LP), and Northwest region (NW) were collected. The parameters of soluble sugars, organic acids, and stable isotopes in samples were analyzed with HPLC, IC, and IRMS, respectively. The results of regional difference analysis, multiway variance analysis, and correlation analysis indicated that sorbitol (Sor), glucose (Glu), fructose (Fru), sucrose (Sucr), δ2H, and δ13C can be used to distinguish the samples from the three regions. Stepwise linear discriminant analysis (SLDA) showed that the correct discriminant rate of samples from the advantageous production areas of apples in China (BHB and LP) was 82.2%, and the most effective indexes were Glu, Fru, Sucr, and δ2H. Moreover, satisfactory classification can be achieved in samples from BHB and NW, with a correct classification rate of 90.0%, and Sor, Glu, and Fru were included in the discrimination model. Furthermore, the validity of the discriminant model was verified by the prediction set. The study also found that organic acids were not suitable to distinguish the apple samples from the three regions. In addition, soluble sugars and stable isotopes could not effectively distinguish LP and NW samples, which was also the reason that the samples from the three main apple production regions could not be distinguished well.
Research on Tourism Resource Evaluation Based on Artificial Intelligence Neural Network Model
Authors: Li Gang , Cheng Jinlong
Published: April 2022

The rational evaluation of tourism resources and the discovery of valuable potential tourism resources are important foundations for promoting the development of tourism industry. This paper systematically reviews the development history of China’s ethnic tourism resource evaluation, analyzes the three different stages of tourism resource evaluation changes and their basic characteristics, and conducts research on tourism resource evaluation based on artificial intelligence neural network model to avoid the influence of subjective factors on the evaluation results to the greatest extent. This paper uses the literature comparison method, theoretical analysis method, and expert consultation method to construct an evaluation index system containing 5 primary indicators and 12 secondary indicators on the basis of which an evaluation model is designed focusing on the error values in the evaluation model, and the evaluation model is applied to the evaluation of tourism resources in several major cities, and its evaluation results and error ranges meet the requirements.
The Significance of Tumor Microenvironment Score for Breast Cancer Patients
Authors: Tian Yuan , Wang Jingnan , Wen Qing , Gao Aiqin , Huang Alan , Li Ran , Zhang Ye , Su Guohai , Sun Yuping
Published: April 2022

Purpose. This study was designed to clarify the prognostic value of tumor microenvironment score and abnormal genomic alterations in TME for breast cancer patients. Method. The TCGA‐BRCA data were downloaded from TCGA and analyzed with R software. The results from analyses were further validated using the dataset from GSE96058, GSE124647, and GSE25066. Results. After analyzing the TCGA data and verifying it with the GEO data, we developed a TMEscore model based on the TME infiltration pattern and validated it in 3273 breast cancer patients. The results suggested that our TMEscore model has high prognostic value. TME features with the TMEscore model can help to predict breast cancer patients’ response to immunotherapy and provide new strategies for breast cancer treatment. Signature 24 was first found in breast cancer. In focal SCNAs, a total of 95 amplified genes and 169 deletion genes in the TMEscore high group were found to be significantly related to the prognosis of breast cancer patients, while 61 amplified genes and 174 deletion genes in the TMEscore low group were identified. LRRC48, CFAP69, and cg25726128 were first discovered and reported to be related to the survival of breast cancer patients. We identified specific mutation signatures that correlate with TMEscore and prognosis. Conclusion. TMEscore model has high predictive value regarding prognosis and patients’ response to immunotherapy. Signature 24 was first found in breast cancer. Specific mutation signatures that correlate with TMEscore and prognosis might be used for providing additional indicators for disease evaluation.
Research on Mechanical Response of Polymer Grouting Repair for Longitudinal Cracks in Reconstructed and Expanded Expressway Pavement
Authors: Li Songtao , Niu Yongding , Wang Baolin , Gao Yanlong , Zhu Yongchao
Published: April 2022

Polymer grouting materials have been widely used in road repair projects. In order to study the application of polymer grouting materials in repairing the joint cracks and voids of new and old subgrades in the reconstruction and expansion projects of expressways. According to the phenomenon investigation data, ABAQUS finite element software was used to establish a three-dimensional road mechanical response analysis model, and the mechanical response characteristics of the road before and after polymer grouting were systematically analyzed. The research results of the road which was repaired by polymer grouting show that the shear force between the polymer grouting material and the materials on both sides of the old and new subgrades can repair the cracks at the joint and the diseases in the void area of the new subgrade, so as to reduce the displacement and settlement of the road surface. The maximum dynamic stress peak value of the old and new subgrade road surfaces is located at the load action position, and with the increase of the distance from the load action position, the dynamic stress peak value gradually decreases, showing an M-shaped distribution as a whole. The original stress transfer law of the road structure was changed, so that the dynamic stress of the new subgrade is significantly smaller than that of the old subgrade. The critical surface formed between polymer grouting material and subgrade material has a certain shear strength, which reduces the tensile stress and strain between structural layers. It will improve the bearing capacity of the subgrade and at the same time provide a practical reference for the treatment of longitudinal cracks in the reconstruction and expansion of expressway.
Serological Surveillance of the H1N1 and H3N2 Swine Influenza A Virus in Chinese Swine between 2016 and 2021
Authors: Zhao Yuzhong , Han Lebin , Chen Ting , Sang Haotian , Ding Guofei , Li Yingchao , Wang Bin , Qin Liting , Liu Sidang , Hou Yanmeng , Xiao Yihong
Published: April 2022

Background. Swine influenza A virus (IAV‐S) is a common cause of respiratory disease in pigs and poses a major public health threat. However, little attention and funding have been given to such studies. The aim of this study was to assess the prevalence of the Eurasian avian‐like H1N1 (EA H1N1), 2009 pandemic H1N1 (pdm/09 H1N1), and H3N2 subtype antibodies in unvaccinated swine populations through serological investigations. Such data are helpful in understanding the prevalence of the IAV‐S. Methods. A total of 40,343 serum samples from 17 regions in China were examined using hemagglutination inhibition (HI) tests against EA H1N1, pdm/09 H1N1, and H3N2 IAV‐S from 2016 to 2021. The results were analyzed based on a reginal distribution, seasonal distribution, and in different breeding stages. Results. A total of 19,682 serum samples out of the 40,343 were positive for IAV‐S (48.79%). The positivity rates to the EA H1N1 subtype, pdm/09 H1N1 subtype, and H3N2 subtype were 24.75% (9,986/40,343), 7.94% (3,205/40,343), and 0.06% (24/40,343), respectively. The occurrences of coinfections from two or more subtypes were also detected. In general, the positivity rates of serum samples were related to the regional distribution and feeding stages. Conclusions. The results of this study showed that the anti‐EA H1N1 subtype and pdm/09 H1N1 subtype antibodies were readily detected in swine serum samples. The EA H1N1 subtype has become dominant in the pig population. The occurrences of coinfections from two or more subtypes afforded opportunities for their reassortment to produce new viruses. Our findings emphasized the need for continuous surveillance of influenza viruses.
Factors Affecting the Readmission of Patients with Pancreatic Cancer after Surgery
Authors: Gu Xiaojing , Zhou Wei , Han Juan
Published: April 2022

Objective. Pancreatic cancer is one of the deadliest solid malignancies. Its surgical resection is technically very challenging and has a high risk of complications even after discharge. This study analyzed the risk factors associated with unplanned readmission after pancreatic cancer surgery. Methods. Pancreatic cancer patients who were readmitted within 30 days after surgery were classified as the observation group, while those not readmitted within 30 days postsurgery were classified as the control group. The serum levels of gastrointestinal hormones, stress hormones, and peripheral immune cells of the two groups were compared at different intervals. Results. No significant differences in gender and age were observed between the two groups. At 7, 14, and 21 days postsurgery, the levels of gastrointestinal hormones motilin, gastrin, calcitonin gene-related peptide, and growth hormone-releasing peptide of the observation group were lower than the control group, while the levels of adrenocorticotropin, renin, angiotensin, and plasma aldosterone of the observation group were significantly higher than the control group. In addition, compared to the control group, lower levels of CD4+T cells, CD8+T cells, and NKT cells and higher levels of Treg, Breg, and MDSC cells were observed in the peripheral blood of the observation group. Conclusion. The serum levels of gastrointestinal hormones, stress hormones, and peripheral immune cells could be associated with the risk of unplanned readmission within 30 days after pancreatic cancer surgery.
[Retracted] Can Swimming Teaching Prevent Drowning? An Experimental Study of Children in China
Authors: Zhang Shichao , Dai Jia , Nie Zhenxin
Published: April 2022

Background. The drowning death rate of Chinese students ranks among the top three in the world, and drowning has become an urgent problem for the country and society to solve. Objective. To test whether traditional swimming teaching can improve students’ knowledge and skills of water safety and reduce the probability of drowning in China. Methods. A total of 82 second‐grade students in elementary school were selected as experimental subjects, and the repeated measures analysis of variance experiment design was used to carry out the research. Results. After the experiment, the swimming safety education model significantly increased the scores of swimming safety knowledge and skills and the difference was statistically significant (t = 4.060, 5.325, P < 0.05); the attitude and behavior scores decreased, and the difference was statistically significant (t = −4.392, −2.201, P < 0.05). After the experiment, the swimming safety education model is more effective in teaching swimming safety knowledge, attitude, and behavior than the traditional swimming teaching, and the difference is statistically significant (t = 2.699, 3.852, 4.308, P < 0.05). After the experiment, when the traditional swimming teaching model is compared with the control group, the difference in swimming safety skills was statistically significant (t = 4.704, P < 0.05) and other dimensions were homogeneous. In conclusion, the traditional swimming teaching can only improve student’s swimming safety skills but cannot reduce student’s drowning injuries. The swimming safety education model is superior to the traditional swimming teaching in terms of swimming safety knowledge, attitudes, and behaviors. Recommendations. For beginners in swimming, the teaching content of swimming self‐rescue skills and swimming safety knowledge should be added.
Antineuroinflammatory Effect of Amburana cearensis and Its Molecules Coumarin and Amburoside A by Inhibiting the MAPK Signaling Pathway in LPS-Activated BV-2 Microglial Cells
Authors: de Araújo Ana Bruna , Azul Francisco Vinícius Clemente Serra , Silva Francisca Raysse Mesquita , de Almeida Talysson Silva , Oliveira João Victor Nunes , Pimenta Antônia Torres Ávila , Bezerra Antônio Marcos Esmeraldo , Machado Nuno J. , Leal Luzia Kalyne Almeida Moreira
Published: April 2022

Microglia plays an important role in the neuroinflammatory response, identified as one of the major factors in the development and progression of neurodegenerative diseases. Amburana cearensis and its bioactive compounds, including coumarin (CM), vanillic acid (VA), and amburoside A (AMB), exert antioxidant, anti-inflammatory, and neuroprotective activities, on 6-OHDA-induced neurotoxicity in rat mesencephalic cells determined by our group. The present study investigated the anti-inflammatory effect of the dry extract from A. cearensis (DEAC), CM, AMB, and VA on lipopolysaccharide- (LPS-) stimulated microglial cells and elucidated the possible molecular mechanism of action. The DEAC was characterized by HPLC-PDA (chemical markers: CM, AMB, and VA). The BV-2 microglial cell line was pretreated with increasing concentrations of DEAC, CM, AMB, or VA in the presence or absence of LPS to evaluate the toxicity and anti-inflammatory activity. The cytotoxicity of DEAC, CM, AMB, or VA on BV-2 cells was evaluated by the MTT test, the free radical scavenging activity of test drugs was investigated, and the nitric oxide (NO) production was determined using the Griess reagent, while cytokine levels were measured by ELISA. The expressions of toll-like receptor 4 (TLR-4), nuclear factor kappa B (NF-κB), MAPK members (JNK and ERK1/2), and iNOS were determined through Western blot analysis. DEAC, CM, AMB, or VA (5-100 μg/mL) did not induce any detectable cytotoxicity in BV-2 cells. All test drugs (100 μg/mL) showed free radical scavenging activity (hydroxyl and superoxide radicals); however, only DEAC, CM, and AMB (5-100 μg/mL) significantly reduced NO production. DEAC (100 μg/mL), as well as CM (50 and 100 μg/mL) and AMB (25 μg/mL), reduced at least 50% of NO produced and markedly decrease the production of TNF-α and IL-6 but they did not significantly affect IL-10 levels. Only DEAC (100 μg/mL) and AMB (25 μg/mL) reduced the expression of iNOS, and they did not affect arginase activity. DEAC (100 μg/mL) suppressed the activation of the MAPKs JNK and ERK1/2 in LPS-activated BV-2 cells but it did not suppress the expression of TLR-4 nor the phosphorylation of NF-κB. In conclusion, DEAC, CM, and AMB exerted anti-inflammatory activity in LPS-activated microglial cells as observed by the reduction in the production of inflammatory mediators and the expression of iNOS. We identified the MAPK signaling pathway as a probable mechanism of action to the anti-inflammatory effects observed.
Verification Grid and Map Slipping Based Graphical Password against Shoulder-Surfing Attacks
Authors: Wang Ziqi , Liao Lingzhi , Meng Ruohan , Yang Ching-Nung , Zhou Zhili , Yang Hengfu
Published: April 2022

Graphical password systems have received significant attention as one potential solution to the need for more usable authentication, but graphical passwords are often considered prone to shoulder-surfing attacks. In this paper, in order to build a balance between usability and security for authentication, we propose a new graphical password scheme by combining a specific verification grid with map slipping strategy. In the proposed scheme, a set of fixed grids are pregenerated on a map. During the registration process, the user is not only asked to select several points in sequence on the map to form a password route, but also required to choose one of the pregenerated grids as a specific verification grid for the subsequent authentication. The password route and the specific verification grid together form the complete graphical password. During the authentication process, the user needs to slip the map to let each point on the password route sequentially fit inside the specific verification grid which is already remembered by the user but difficult to be detected by the attackers. With the specific verification grid and the map slipping strategy, the proposed scheme can effectively defend against shoulder-surfing attacks. Meanwhile, the password points are represented as coordinates on the map; therefore, the proposed scheme has a negligible storage burden. The comparative experiments show that, using the proposed scheme, the success rate of shoulder-surfing defense can be increased by 37% to 56% with different grid sizes and password point numbers, and the usability of passwords can also be improved by 3% to 6%. Therefore, the proposed scheme can achieve good shoulder-surfing defense and reasonable usability simultaneously.
Effects of Academic Integrity of Faculty Members on Students’ Ethical Behavior
Authors: Almutairi Yousef Mubrik N.
Published: April 2022

Education is fundamental tool in achieving sustainable development. Higher education institutions play vital role in providing a nation with required skilled manpower, needed to foster sustainable development. For these higher education institutions to achieve their goals and respond positively towards meeting needs of the society, ethical behavior of various actors is crucial. Therefore, this study examined the effects of faculty members’ academic integrity on students’ ethical behavior in universities in the Kingdom of Saudi Arabia. A total of 450 students were sampled across three public universities in the country. Random sampling method was used in selecting the participants in this study. The study made use of a 30-item questionnaire on academic integrity and ethical behavior. This was adapted into Kingdom of Saudi Arabia universities. The methods of data analysis used in this study are simple percentage and Pearson Correlation Coefficient. The Pearson Correlation Coefficient was used to examine the relationship between faculty members’ academic integrity and students’ ethical behavior. The result shows that there is a relationship between honest, fairness, responsibility, respect, trust, and ethical behavior of students. In order to ensure sustainable higher education development in Kingdom of Saudi Arabia academic, leaders and policy makers must encourage faculty members to uphold true academia and display good academic integrity as a measure towards influencing the moral and ethical behavior of their students.
The Reaction Mechanism Study for the F3 System
Authors: Wang Dequan , Gao Nan , Yu Hongmei , Bai Yuxuan , Cao Jing , Hu Chunmei , Li Yanchun , Liu Huiling , Huang Xuri
Published: April 2022

In order to study the F3 system, an accurate global adiabatic potential energy surface is reduced in the present work. The high‐level ab initio (MCSCF/MRCI level) methods with big basis set aVQZ are used to calculate 27690 potential energy points in the MOLPRO quantum chemistry package using the Jacobi coordinate. Meanwhile, the B‐spline fit method is used to reduce the global potential energy surface in this present work. The shallow well complexes are found in the present work when the angles θ = 30°, 60°, and 90°. Analysing the global potential energy surfaces can get the conclusion that reactants should overcome at least 0.894 eV energy to cross the transition state and reach products. This study will be helpful for the analysis in histopathology and for the study of biological and medical mechanisms.
Collaborative Filtering Algorithm-Based Destination Recommendation and Marketing Model for Tourism Scenic Spots
Authors: Lin Kejun , Yang Shixin , Na Sang-Gyun
Published: April 2022

The information age of rapid development of tourism industry provides abundant travel information, but it also comes with the problem of information overload, which makes it difficult to meet the growing personalized needs of people. The traditional collaborative filtering recommendation algorithm (CFA) also suffers from the problem of data sparsity when the user population increases. Therefore, this study optimizes the CFA through the similarity factor and correlation factor and enhances the tourism sense of travel experience through the satisfaction balance strategy. The experimental results show that the improved CFA method has the highest average accuracy on the overall dataset and the best recommendation performance of the satisfaction balance strategy. Overall, the recommendation model in this study is useful for attraction selection of users and marketing optimization of travel companies.
Public Sector Performance Assessment Based on DEA Model: The Case of Environmental Policy
Authors: Zhang Rongguang
Published: April 2022

The contradiction between economic development and environmental protection is a core issue that plagues developing countries. The Chinese government has continuously implemented different environmental policies to alleviate the contradiction between economic development and environmental protection, but how they will perform remains unknown. Therefore, this paper revises the classical DEA model and then empirically evaluates the efficiency of environmental policies in 31 Chinese provinces from 2015 to 2020. It is found that the environmental efficiency of each local government has steadily improved, and the provincial differences show a trend of continuous reduction. However, when decomposed, the technical efficiency gap among provinces is large, and the scale efficiency even shows a downward trend. This paper also adopts the Malmquist index for dynamic analysis of environmental efficiency, and the research findings have important theoretical value for scientific formulation of environmental policies.
A Rapid Integration Method of Wild Ornamental Plant Resources Based on Improved Clustering Algorithm
Authors: Cong Linlin , Han Dong
Published: April 2022

Wild ornamental plants are beneficial as well as dangerous for the environment. Because the introduction of attractive plants that are not suited to the local ecosystem can result in significant environmental damage, a quick integration strategy based on an enhanced clustering algorithm is proposed for wild ornamental plant resources. The technique is enhanced with density stratification by integrating the k-means distance measurement formula and establishing the objective function of clustering optimization. The cluster termination condition is controlled by the number of clusters k, and the wild plant data categories are continually merged. Uneven density distribution is used to deal with the wild plant distribution dataset. To obtain the distribution of wild ornamental plants in different regions, to estimate the optimal parameters of wild plant samples, to combine with maximum likelihood classification to obtain the plant flora differentiation degree, and to complete the resource integration, remote sensing images were used. Comprehensive survey and systematic sampling were used to conduct a complete survey of the protected area. The heat map of the plant size distribution shows that there is a clear negative correlation between the spatial scale difference and the overall density difference of the plant distribution, that is, it appears spatially. From the experimental analysis, it is observed that the high-density small-scale and low-density large-scale agglomeration distribution characteristics delay is 1.96 s.
Artificial Intelligence for Higher Education Development and Teaching Skills
Authors: Xia Xiaolin , Li Xiaojun
Published: April 2022

In the context of the information age, the development of artificial intelligence is flourishing, and it is becoming more and more closely integrated with economic life, which is an inevitable trend of future social development. Education is also inseparable from the support of science and technology. The penetration of artificial intelligence has changed traditional teaching models and methods. Under the influence of artificial intelligence technology, college education is developing more and more in the direction of informatization and intelligence. For college teachers, the study and application of artificial intelligence is an important and necessary means to achieve professional development. It is more important to train students to take independent self-study exams and focus on applying social skills, so that students can better adapt to the coming era of intelligence. Therefore, the purpose of this article is to explore the development of higher education and the improvement of teaching skills based on artificial intelligence and to analyze the problems and solutions in the process of higher education development. This article will use the research methods of specific problems and specific analysis to compare the data and draw conclusions. The research results show that in the information-based education innovation created by knowledge sharing, the teaching goals and methods are constantly changing. And about 85% of the students believe that the development prospect of intelligent teaching is good, which verifies the feasibility of artificial intelligence technology in the development of college education. Only by training students’ imagination, creativity, critical thinking, and autonomous learning can they adapt to today’s rapidly developing society. Therefore, active learning and research on artificial intelligence is the embodiment of cultivating lifelong learning ability, improving rich teaching skills, constantly summing up experience, actively improving and trimming relevant change programs, and jointly promoting the rapid development of higher education under artificial intelligence.
An Entity Relationship Extraction Model Based on BERT-BLSTM-CRF for Food Safety Domain
Authors: Zhang Qingchuan , Li Menghan , Dong Wei , Zuo Min , Wei Siwei , Song Shaoyi , Ai Dongmei
Published: April 2022

Dealing with food safety issues in time through online public opinion incidents can reduce the impact of incidents and protect human health effectively. Therefore, by the smart technology of extracting the entity relationship of public opinion events in the food field, the knowledge graph of the food safety field is constructed to discover the relationship between food safety issues. To solve the problem of multi-entity relationships in food safety incident sentences for few-shot learning, this paper adopts the pipeline-type extraction method. Entity relationship is extracted from Bidirectional Encoder Representation from Transformers (BERTs) joined Bidirectional Long Short-Term Memory (BLSTM), namely, the BERT-BLSTM network model. Based on the entity relationship types extracted from the BERT-BLSTM model and the introduction of Chinese character features, an entity pair extraction model based on the BERT-BLSTM-conditional random field (CRF) is established. In this paper, several common deep neural network models are compared with the BERT-BLSTM-CRF model with a food public opinion events dataset. Experimental results show that the precision of the entity relationship extraction model based on BERT-BLSTM-CRF is 3.29%∼23.25% higher than that of other models in the food public opinion events dataset, which verifies the validity and rationality of the model proposed in this paper.
Influence of Chemical Corrosion on Dynamic Fracturing Mechanical Behavior of Marbles
Authors: Zheng Chunmei , Zheng Jiayan , Peng Xiaojuan , Zhou Lei
Published: April 2022

To investigate the influences of the chemical corrosion on the dynamic fracture mechanical properties and failure characteristics of marble, the dynamic fracture test for the notched semicircular bend (NSCB) marble specimens with different degrees of corrosion damage was conducted using a split Hopkinson pressure bar. The results show that both the porosity and corrosion damage variable Dc characterized by porosity increase as corrosion time T increases. The dynamic fracture toughness decreases linearly from 5.22 to 2.15 MPa m1/2 as Dc increases from 0 to 4.42%. This is because the corrosion damage done to interior structure leads to a reduction of cohesion and internal friction angle inside the specimen. In the Dc range of 0–4.42%, the fractal dimension of the main crack propagation path increases from 1.47 to 1.59, by an increase rate of 8.16%. Both the joint roughness coefficient and the actual area of the fracture surface increase as Dc increases. Due to the degradation of the connected force between the rock particles inside the specimen, there is an obvious decrease in the fracture energy per unit fracture surface from 0.94 to 0.38 J cm−2, with a decrease rate of 59.39%. With T increases, the contents of CaO, MgO, and Al2O3 in specimen increase, indicating that the degree of corrosion damage increases.
Characterization of a Pyroptosis-Related Signature for Prognosis Prediction and Immune Microenvironment Infiltration in Prostate Cancer
Authors: Zhang Guian , Luo Yong , Dong Weimin , Zhong Weide
Published: April 2022

This study was aimed at constructing a pyroptosis-related signature for prostate cancer (PCa) and elucidating the prognosis and immune landscape and the sensitivity of immune checkpoint blockade (ICB) therapy in signature-define subgroups of PCa. We identified 22 differentially expressed pyroptosis-related genes in PCa from The Cancer Genome Atlas (TCGA) database. The pyroptosis-related genes could divide PCa patients into two clusters with differences in survival. Seven genes were determined to construct a signature that was confirmed by qRT-PCR to be closely associated with the biological characteristics of malignant PCa. The signature could effectively and independently predict the biochemical recurrence (BCR) of PCa, which was validated in the GSE116918 and GSE21034. We found that patients in the high-risk group were more prone to BCR and closely associated with high-grade and advanced-stage disease progression. Outperforming clinical characteristics and nine published articles, our signature demonstrated excellent predictive performance. The patients in the low-risk group were strongly related to the high infiltration of various immune cells including CD8+ T cells and plasma B cells. Furthermore, the high-risk group with higher TMB levels and expression of immune checkpoints was more likely to benefit from immune checkpoint therapy such as PD-1 and CTLA-4 inhibitors. The sensitivity to chemotherapy, endocrine, and targeted therapy showed significant differences in the two risk groups. Our signature was a novel therapeutic strategy to distinguish the prognosis and guide treatment strategies.
Isolation of Thymol from Trachyspermum ammi Fruits for Treatment of Diabetes and Diabetic Neuropathy in STZ‐Induced Rats
Authors: Sachan Neetu , Saraswat Nikita , Chandra Phool , Khalid Mohammad , Kabra Atul
Published: April 2022

Terpenoids and phenols from Trachyspermum ammi (T. ammi) have reported some pharmacological actions. The objective of the work was to isolate the active constituent, its identification by spectroscopic techniques, and evaluation of the antidiabetic and neuroprotective activity from T. ammi on STZ Wistar rats. The dried fruits of T ammi were kept in a hydrodistillation apparatus to collect essential oil. The isolated fraction went through TLC, UV, FTIR, HPLC, HRMS, C13, and 1H NMR for characterization. Two dosage concentrations from the isolated compound were prepared as 10 and 20 mg/kg for treatment groups. The groups were tested for thermal and mechanical hyperalgesia, writhing, grip strength, spontaneous locomotor test, neuromuscular coordination tests, and histopathological and lipid profile analysis. Diabetes was induced by streptozotocin (45 mg/kg i.p.) and 12 weeks of treatment‐induced diabetic neuropathy in Wistar rats. Biomarkers were evaluated to understand the neuropathic protection of thymol on STZ‐treated Wistar rats. The biomarker studies (SOD, NO, LPO, Na+K+ATPase, and TNF‐α) further confirmed thymol’s diabetic neuropathy protective action. This study suggests that isolated compound thymol was antidiabetic and neuroprotective as it has shown controlled glucose levels defensive nerve damage in STZ Wistar rats. P < 0.05 level of significance was observed in the levels of endogenous biomarkers, fasting blood glucose levels, actophotometer response, and response latency in treated groups compared to the diabetic group, whereas P < 0.001 level of significance during lipid profile levels, thermal algesia, and neuromuscular comparison tests was noted in treated groups compared to the diabetic group.
Artificial Intelligence in Construction of English Classroom Situational Teaching Mode Based on Digital Twin Technology
Authors: Gu Shan , Zhang Si , Miao Yuji
Published: April 2022

It is combined the digital twin technology to construct the English classroom situational teaching mode. The system uses advanced virtual reality technology and computer image technology and combines with video and audio synchronization processing technology to provide a new set of methods for students’ language learning. The scene interactive teaching system’s graphics rendering server produce and create 3D virtual scenes or actual photos in real time. Furthermore, according to the English classroom teaching situation, this paper constructs the functional modules of the situational teaching system, conducts an in-depth analysis of the system implementation methods, expresses the system core algorithm flow in the form of diagrams and tables, and obtains the overall system framework. Finally, it is evaluated the effect of the English classroom situational teaching model proposed in this paper through experimental research. From the experimental results, it can be seen that the teaching model proposed in this paper is very effective.
FGL_Droid: An Efficient Android Malware Detection Method Based on Hybrid Analysis
Authors: Wang Weiping , Ren Congmin , Song Hong , Zhang Shigeng , Liu Pengfei
Published: April 2022

With the popularity of Android intelligent terminals, malicious applications targeting Android platform are growing rapidly. Therefore, efficient and accurate detection of Android malicious software becomes particularly important. Dynamic API call sequences are widely used in Android malware detection because they can reflect the behaviours of applications accurately. However, the raw dynamic API call sequences are very usually too long to be directly used, and most existing works just use a truncated segment of the sequence or statistical features of the sequence to perform malware detection, which loses the execution order information of applications and consequently results in high false alarm rate. In this work, we propose a method that transforms the dynamic API call sequence into a function call graph, which retains most of the application execution order information with significantly reduced sequence size. To compensate for the missed behaviour information during the transformation, the advanced features of permission requests extracted from the application are utilized. We then propose FGL_Droid, which fusions the transformed function call graph feature and the extracted permission request feature to perform accurate malware detection. Experiments on benchmark dataset show that FGL_Droid achieves a high detection accuracy of 0.975 and a high F-score of 0.978, which are better than the existing methods.
Clinical Effect of Laminectomy with Lateral Mass Screw Fixation in Treating Cervical Schwannoma: A Retrospective Study
Authors: Guo Xiaohui , Yang Sidong , Li Zhaohui , Yang Dalong , Ding Wenyuan
Published: April 2022

Background. The objective of this study was to evaluate the clinical effectiveness and safety of laminectomy combined with lateral mass screw fixation in treating cervical intradural extramedullary schwannoma. Methods. We retrospectively collected and analyzed medical records of 38 patients who underwent resection of cervical intraspinal schwannoma between January 2012 and April 2019. Based on different surgical procedures, two groups were divided among all participants: laminectomy‐only (n = 21) and laminectomy with instrumented fixation (n = 17); the minimum follow‐up time was 1 year. The visual analogue scale (VAS) score and neck disability index (NDI) were utilized for pain assessment; the Japanese Orthopedic Association (JOA) score was carried out for the assessment of neurological impairment. Radiographic changes of Cobb angle were compared before and after the surgery. Results. Consequently, demographics were well matched in both groups, without any statistical difference (P > 0.05). Compared with preoperation, both surgical procedures significantly improved VAS, NDI, and JOA scores (P < 0.001), but no differences between them (P > 0.05). In terms of postoperative spinal instability/deformity, laminectomy‐only caused more events than instrumented fixation, which is statistically significant (P < 0.001). Conclusions. In summary, laminectomy with lateral mass screw fixation is an effective and safe approach to treat cervical intraspinal schwannoma, which is likely to be a better choice than the laminectomy‐only approach.
Effect of Probiotic‐Assisted Eradication of cagA+/vacA s1m1 Helicobacter pylori on Intestinal Flora
Authors: He Chenxi , Kong Fanting , Chai Xiukun , Zou Chunyan , Zhu Xinying , Zhao Dongqiang
Published: April 2022

Objective. We attempted to evaluate the effects of probiotic‐assisted eradication of cytotoxin‐associated gene A (cagA)+/vacuolating cytotoxin A (vacA) s1m1 Helicobacter pylori (H. pylori) on the intestinal flora, inflammatory factors, and clinical outcomes. Methods. A total of 180 patients with cagA+/vacA s1m1 H. pylori were randomly divided into two groups. Group A was treated with bismuth quadruple therapy (BQT). Group B was treated with S. boulardii in addition to BQT. The distribution of intestinal flora, serum interleukin‐8 (IL‐8), IL‐17, tumor necrosis factor‐α (TNF‐α) levels, recovery time of clinical symptoms, total effective rate of clinical symptoms, H. pylori eradication rate, and adverse reactions were observed. Results. 2 weeks after treatment, the contents of Bifidobacterium, Bacteroides, and Lactobacillus in the intestinal tract of Group A decreased, while the amounts of Enterococcus and Enterobacter increased. In Group B, the contents of Bifidobacterium, Bacteroides, and Lactobacillus increased, while the amounts of Enterococcus and Enterobacter did not change significantly. Moreover, the trend of this flora change was still present at 4 weeks after treatment. Compared with Group A, Group B had lower IL‐8, IL‐17, and TNF‐α levels, shorter recovery time of clinical symptoms, higher overall efficiency of clinical symptoms, and lower occurrence of adverse reactions. The eradication rate did not differ significantly between the two groups. Conclusion. BQT can lead to intestinal flora disorders in cagA+/vacA s1m1 H. pylori patients. S. boulardii can improve the distribution of intestinal flora, downregulate immune‐inflammatory mediators, and modify clinical symptoms in patients.
Enhanced Laterality Index: A Novel Measure for Hemispheric Asymmetry
Authors: Li Yuwen , Zhang Zhimin
Published: April 2022

During sleep, the two hemispheres display asymmetries in their activation pattern. Various hemispheric asymmetry measures have been utilized in existing works. Nevertheless, all these measures have one common problem that they would merely take one representative quantity into account when evaluating the functional asymmetry. However, there is a complex series of information exchanges between the two cerebral hemispheres, and only considering one quantity inevitably leads to one-sided or even incorrect conclusions. Consequently, to address the limitation of conventional laterality indices, we propose the so-called enhanced laterality index (ELI), which considers multiple measures of functional asymmetries. Normal sleep and obstructive sleep apnea electroencephalograms (EEGs) from 21 subjects collected in the clinical acquisition system are applied, and two representative quantities are considered simultaneously in this paper. We measure the signal complexity by using fuzzy entropy, and the signal strength is evaluated by calculating EEG energy. The difference of ELI is demonstrated by the comparison with the traditional laterality index (LI) in evaluating the functional asymmetry during sleep.
A Novel Optimization Model of Integrated Energy System considering Thermal Inertia and Gas Inertia
Authors: Qu Yanhua , Lin Sheng
Published: April 2022

Aiming at the energy multivariate heterogeneity of thermal system and natural gas system, a novel optimization model of integrated energy system considering thermal inertia and gas inertia is proposed. First, the dynamic characteristics of the thermal system in the integrated energy system are studied, and the inertia model of the heat network pipeline and thermal building is established. Second, the characteristics of natural gas pipeline network storage are studied, and the natural gas storage and pressure energy generation models are established. Then, the optimization objective of the minimum integrated operating cost of the integrated energy system is established, and the YALMIP solver is used to solve it. Finally, a numerical example is introduced to analyze the operating cost of the integrated energy system in different scenarios, and it is verified that the integrated energy system optimization model considering the inertia of the thermal and gas proposed in this paper can effectively improve the system regulation capability and reduce the system operating cost.