bluuebunny/crossref_metadata_2025 huggingface dataset:
A Practical Exploration of Constructive English Learning Platform Informatization Based on RBF Algorithm
Authors: Tang Ning , Li Bing , Tsai Sang-Bing
Published: November 2021

The constructive English learning approach provides better technical support and learning concepts for English learners. This paper firstly introduces the theoretical basis of constructive English learning and the status of domestic and international research and analyzes the advantages over the traditional English learning approach. This paper also analyzes the RBF neural network model, especially the locally adjusted RBF algorithm, and considers the training model and construction method of the RBF neural network to simulate the learning pattern of good learners of English in grades 4 and 6 to better realize the effect of the English learning platform and allow the English learning platform to play a supportive role in the learning process of students, and through the evaluation of the design, we can better improve the software design, which can be improved by evaluating the design. In the subsequent research, we should add a more user-friendly interface design, use larger model samples to train the model to make it more universal in accuracy and ensure good stability in operation, and integrate multiple algorithms to improve the training algorithm of RBF neural network to obtain a more general algorithm model. The rich teaching methods can cultivate students’ independent inquiry ability, and the construction of this English learning platform can help improve students’ ability to use information technology. By making students become the main subject of teaching and learning, we can stimulate students’ enthusiasm and a good awareness of English learning. Using the radial basis function (RBF) algorithm and the constructive pod language teaching method, this English learning platform is a good and positive aid for students to learn English, and as a better English education tool, it has certain research value and positive significance for the study of English teaching.
Meta-Analysis of Contrast Enhanced Ultrasound in Judging Benign and Malignant Thyroid Tumors
Authors: Wan Qing , Cao Peng , Liu Jing
Published: November 2021

In recent years, the incidence of thyroid cancer (TC) patients has gradually increased, and it ranks first among all endocrine tumors. TC has no obvious characteristics at the initial stage of onset. Thyroid tumors (TT) have formed when they are discovered, and they are easy to see when they are diagnosed. The disease is confused, so it is necessary to rely on imaging methods for tumor diagnosis. Contrast-enhanced ultrasound (CEUS), as the most commonly used imaging method in current clinical testing, is simple, safe, highly sensitive, can accurately display tumor conditions, and has high clinical value in the judgment of TC tumors. This article uses meta-analysis to select 63 published studies on CEUS to determine benign and malignant (BAM) TT to analyze and explore its clinical application value. This article understands the analysis of BAM TT and its diagnostic methods, clarifies the diagnostic efficiency of CEUS for TT, imaging methods, and imaging characteristics, and uses statistical analysis to analyze its heterogeneity. In this paper, the meta-analysis of CEUS in judging BAM TT is mainly based on references. The sensitivity, specificity, and difference of CEUS in diagnosing BAM TT are analyzed. Real-time elastography (RTE) is the comparison experiment object, and CEUS is used to compare the diagnostic efficiency, pathological results, and diagnostic efficiency of thyroid nodules in CEUS mode. The results of the study show that the nodule with higher diagnostic sensitivity is the echo feature, with a sensitivity of 97.73%, followed by the halo feature, with a sensitivity of 86.36%. In terms of diagnostic specificity, the boundary feature is the most specific. The specificity is 89.47%. In the judgment of BAM tumor nodules, the most obvious difference is the echo feature, which is as high as 14.09, followed by the acoustic halo feature, and the difference is 10.65.
5G Wireless Networking Connection and Playback Technology Assist the Low‐Latency Propagation of New Media
Authors: Yu Xueyong
Published: November 2021

This article conducts an indepth study on the delay caused by time division multiple access (TDMA) technology and theoretically analyzes some methods that can reduce the TDMA delay. Traditional dynamic time slot allocation algorithms usually only consider the completion of conflict‐free time slot allocation in distributed scenarios, but they do not clearly specify the order of time slot allocation. The order of time slots allocated to each node is ultimately consistent with the new data flow. The order of media dissemination is not the same. Aiming at the scheduling delay problem caused by the inconsistency of the new media low‐latency propagation time slot allocation sequence and the data stream sequence, a protocol using the master time slot adaptive time slot exchange technology is proposed. The protocol designs the corresponding super frame structure and realizes the neighbor node discovery strategy and the time slot allocation based on the priority list. At the same time, the time slot switching technology is used to adjust the time slot sequence so that it tends to the data flow sequence. The exchange criterion based on the low‐latency propagation data stream value of the new media is designed to solve the problem of optimizing the time slot of multiple data streams in the network. Through the simulation results and analysis, it can be seen that the architecture design proposed in this paper can fulfill the expected requirements of the wireless Mesh network and can achieve good low‐latency performance for the highly dynamic network topology. It can also achieve good performance in terms of network throughput and data flow delivery rate, and it has adaptability to high dynamic topologies. By comparing with the traditional algorithm design, the design proposed in this paper has a large improvement in low latency and high submission rate. Therefore, it can be considered that the low‐latency architecture design proposed in this article has better performance for new media’s low‐latency propagation and highly dynamic network topology.
Irisin as a Potential Biomarker Associated with Myocardial Injuries in Patients with Severe Hypothyroidism
Authors: Yao Zhi , Ding Xiaoyu , Gao Xia , Yang Ning , Jia Yumei , Liu Jia , Wang Guang
Published: November 2021

Objective. Irisin, a novel myokine, has recently been considered to produce a cardioprotective effect. Potential biomarkers for myocardial injuries in patients with severe hypothyroidism have yet to be identified. We aimed to investigate whether serum irisin may serve as a promising biomarker for early detecting the myocardial injuries in patients with severe hypothyroidism. Methods. This cross-sectional study comprised 25 newly diagnosed drug-naive patients with severe primary hypothyroidism and 17 age- and sex-matched healthy controls. Circulating irisin levels and cardiac magnetic resonance (CMR) were evaluated in each participant. Left ventricular (LV) myocardial injuries were detected by CMR-based T1 mapping technique using a modified look-locker inversion recovery (MOLLI) sequence, which is quantified as native T1 values. Results. Compared with healthy controls, the severe hypothyroidism group had significantly lower levels of serum irisin, especially those with pericardial effusion (

P
<
0.05

). The severe hypothyroidism subjects exhibited lower peak filling rates (PFRs) and higher native myocardial T1 values than controls (

P
<
0.05

). Additionally, the ROC analysis displayed that the sensitivity and specificity of serum irisin for diagnosing pericardial effusion in patients with severe hypothyroidism were 73.3% and 100.0%, respectively. The AUC was 0.920 (0.861–1.000) (

P
<
0.001

). The cutoff value was 36.94 ng/mL. Moreover, the results in subgroup analysis revealed that the native T1 values of the low-irisin group were significantly higher than that of the high-irisin group (

P
<
0.05

). According to multivariate linear regression analysis, serum irisin concentrations were negatively and independently correlated with native myocardial T1 values after adjustment for age, sex, and other conventional confounding factors (β = −1.473,

P
<
0.05

). Conclusions. Irisin may be a potential biomarker for predicting myocardial injuries in patients with severe hypothyroidism.
Application of Artificial Intelligence Techniques in Operating Mode of Professors’ Academic Governance in American Research Universities
Authors: Wang Ruishu , Li Jiannan , Shi Wanbing , Li Xin
Published: November 2021

Artificial intelligence technology is an important transformative force for teaching innovation in the intelligent era. It is being widely used in American school teaching, including the design of intelligent tutoring systems to achieve precise problem solving, the machine learning technology to ensure personalized activity design, the creation of intelligent virtual reality to promote classroom teaching contextualization, and the development of intelligent evaluation systems to ensure the scientific evaluation of capabilities. In the process of advancing the teaching and application of artificial intelligence technology, the United States has built a linkage mechanism of federal leadership, university follow‐up, and social collaboration and implemented the smart technology in school teaching and professors’ academic governance. This paper is aimed at studying the professors’ academic governance of American research universities by Internet data mining, historical analysis method, documentary method, survey method, and other methods. Professors’ academic governance is a vital part of the modern university system that causes the institutional reform of the internal governance structure of modern universities. The United States is a powerful country in higher education, and professors in American research universities have always participated in university academic governance for centuries. By studying the definition, history, and development and mode of operation of professors’ academic governance in American research universities, the results indicate a clear division of power and responsibility between the professors and administrators based on an artificial intelligence decision system in American research universities. Also, there is a good communication platform based on artificial intelligence environment for professors to discuss their opinions on academic affairs. Third, professors exercise academic power under the guarantee of diversified guaranteed systems based on the artificial intelligence evaluation system and the ideology of mutual respect based on the artificial intelligence management and service system. Studying the application of artificial intelligence techniques in operating mode and enlightenment of professors’ academic governance in an American research university is of great significance to promote the construction of other modern universities’ professors’ academic governance system.
Ram Horn-Shaped Inspired Folded Compact Antenna for 4G LTE-A and WLAN Portable Mobile Applications
Authors: Abolade Jeremiah O. , Konditi Dominic B. O.
Published: November 2021

A compact dual-band ram horn-like folded antenna is presented in this work. The antenna is based on a ram horn-like folded strip, asymmetric microstrip feeding (AMF) technique, partial ground, and protruding stub at the ground plane. The dimension of the proposed antenna is 0.11

λ

g

 × 0.17

λ

g

at 2.3 GHz (10 × 15 mm2). The proposed shape is achieved through the combination of two circular arcs with different radii. The antenna operates at 2.3 GHz and 5.8 GHz with a measured bandwidth of 100 MHz and 820 MHz, a gain of 0.62 dBi and 2.2 dBi, and radiation efficiency of 93.67% and 99.87%, respectively. The prototype of the proposed antenna is fabricated and measured. The measured result shows a good agreement with the simulated result. The parametric study of the proposed antenna is performed and results are presented. Besides, a comparative study between the antennas proposed in this work and the state of the art is performed and presented. The proposed antenna is comparatively small in size than all the recently reported works in the literature while ensuring good radiation characteristics. Therefore, the antenna proposed in this work is a better candidate for future portable sub-6GHz fifth-generation (5G), Advance Long-term Evolution (LTE-A), Worldwide Interoperability for Microwave Access (WiMAX), and Wireless Local Area Network (WLAN) applications.
Analysis of the Fluctuation of Bank Interest Rate Based on Computer Statistical Model and Machine Learning
Authors: Cao Jiangning
Published: November 2021

In order to improve the effect of bank interest rate volatility analysis, this article combines actual conditions and machine learning algorithms to construct a fluctuation analysis model of bank interest rate based on computer statistical model and machine learning. For the data with system transformation, the data contains stationary and nonstationary processes; so, the power of the standard unit root test is low. This paper therefore proposes a new unit root test method. From demand analysis, system design to system implementation, and testing, advanced software engineering‐related ideas are adopted, and the bank’s interest rate management system is designed and implemented in strict accordance with software development‐related processes. This paper adopts the modular design idea, classifies the functions to be realized according to their content, and conducts structural verification and performance analysis of the functional modules. Through experimental analysis, we can see that the system model constructed in this paper has certain effects in the analysis of interest rate fluctuations.
Efficacy and Safety of Dahuang Zhechong Pill in Silicosis: A Randomized Controlled Trial
Authors: Tang Wu-Yi-Nuo , Liang Jing-Tao , Wu Ju , Liu Li , Lu Ming-Zhang , He Xiao-Yan , Wu Li-Juan , Jiang Huan-Yu , Wang Fei , Meng Xiao , Li Shun-Pin
Published: November 2021

Background. There is no effective therapy for silicosis, and Dahuang Zhechong pill (DHZCP), an ancient Chinese medicine prescription, may have a therapeutic effect on silicosis. This study aims to verify the efficacy and safety of DHZCP in silicosis. Methods. This is a randomized controlled clinical trial done at Panzhihua Second People’s Hospital (Panzhihua City, Sichuan Province, China). Participants diagnosed with silicosis were recruited and randomized to the conventional treatment group (CG) or DHZCP combined with the conventional treatment group (DG). Forced vital capacity % predicted (FVC%), diffusing capacity of the lung for carbon monoxide % predicted (DLCO%), six-minute walk distance (6MWD), peripheral oxygen (SpO2), King’s Brief Interstitial Lung Disease Questionnaire (K-BILD), and safety outcomes were measured at baseline and 9 weeks. Results. Fifty-six participants (28 in each group) completed the study, and 53 of them (26 in DG and 27 in CG) completed pulmonary function. At 9 weeks, compared with no DHZCP, DHZCP treatment was associated with significant improvements in FVC% (mean ± SD, 95%CI) (8.2 ± 3.9, 0.3 to 16.0), DLCO% (8.6 ± 3.5, 1.5 to 15.7), SpO2 (3.8 ± 0.7, 2.3 to 5.2), and K-BILD total score (6.0 ± 2.3, 1.4 to 10.7). And, there were no statistical differences of safety outcomes between the two groups. Eight patients accepting DHZCP developed mild diarrhea during the first week, which subsequently resolved on its own. Conclusion. DHZCP could improve the pulmonary function, the quality of life, and the exercise capacity of silicosis patients.
NEUT-SFL in Patients with COVID-ARDS: A Novel Biomarker for Thrombotic Events?
Authors: Stiel Laure , Rabouel Yannick , Debliquis Agathe , Pointurier Valentin , Mootien Joy , Kuteifan Khaldoun
Published: November 2021

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an enveloped RNA virus first identified in December 2019 in Wuhan, China, and responsible for coronavirus disease 2019 (COVID-19). The ongoing COVID-19 pandemic is impacting healthcare worldwide. Patients who develop coagulopathy have worse outcomes. The pathophysiology of COVID-19 suggests a strong interplay between hemostasis and immune cells, especially neutrophils. Our purpose was to assess neutrophil fluorescence as a potential biomarker of deep vein thrombosis (DVT) in patients with COVID-acute respiratory distress syndrome (COVID-ARDS). Sixty-one patients with COVID-ARDS admitted to the four intensive care units (ICUs) of a French general hospital were included in this prospective study. Neutrophil activation was assessed by measuring neutrophil fluorescence (NEUT-Side Fluorescence Light, NEUT-SFL) with a specific fluorescent dye staining analyzed by a routine automated flow cytometer Sysmex XN-3000™ (Sysmex, Kobe, Japan). DVT was diagnosed by complete duplex ultrasound (CDU). We found that NEUT-SFL was elevated on admission in patients with COVID-ARDS (49.76 AU, reference value 46.40 AU,

p
<
0.001

), but did not differ between patients with DVT (49.99 AU) and those without (49.52 AU,

p
=
0.555

). NEUT-SFL is elevated in patients with COVID-ARDS, reflecting neutrophil activation, but cannot be used as a marker of thrombosis. Because neutrophils are at interface between immune response and hemostasis through release of neutrophil extracellular traps, monitoring their activation could be an interesting approach to improve our management of coagulopathy during COVID-ARDS. Further research is needed to better understand the pathophysiology of COVID-19 and identify high-performance biomarkers.
The Method of Dynamic Identification of the Maximum Speed Limit of Expressway Based on Electronic Toll Collection Data
Authors: Zou Fumin , Guo Feng , Tian Junshan , Luo Sijie , Yu Xiang , Gu Qing , Liao Lyuchao
Published: November 2021

To overcome the drawbacks of the maximum speed limit information of expressways (i.e., long update cycle and great complexity of information recognition), in this work, an Electronic Toll Collection (ETC) gantry data-based method for dynamically identifying the maximum speed limit information of expressways is proposed. Firstly, the characteristics of the ETC gantry data are analyzed, and then data are cleaned and reconstructed, after which an algorithm is proposed for constructing a vehicle travel speed data set. Secondly, the speed feature vector model of the road section is established by taking the relationship among the speed distribution feature, time domain feature, and the maximum speed limit of the road section into consideration. Then, a data supplement algorithm is constructed to solve the problem of the imbalance of data samples. Finally, the combined GC-XGBoost classification algorithm is used to train and learn the potential speed limit features, and it is verified through the Fujian Provincial Expressway ETC data and the speed limit information provided by the Fujian Traffic Police. The result shows that the accuracy of the method in the recognition of the maximum limited speed information of the expressway is 97.5%. Compared with the traditional limited speed information recognition and extraction methods, the proposed approach can identify the maximum limited speed information of each section of the expressway more efficiently. It can also accurately identify the dynamic change of the maximum limited speed information, which is able to provide data support for intelligent expressway management systems and map providers.
Theoretical and Numerical Analysis of Soil‐Pipe Pile Horizontal Vibration Based on the Fractional Derivative Viscoelastic Model
Authors: Zhang Hao , Niu Jienan , Huang Ningning , Yan Qifang
Published: November 2021

To describe the mechanical properties of the system of pipe pile‐soil reasonably and accurately, the constitutive relations of the soil around pile and pile core soil are characterized by the fractional derivative viscoelastic model. We assume that the radial and circumferential displacements of the soil around the pile and pile core soil are the functions of r, θ, and z. The horizontal dynamic control equations of soil layers are derived by using the fractional derivative viscoelastic model. Considering the fractional derivative properties, soil layer boundary condition, and contact condition of pile and soil, the potential function decomposition method is used to solve the radial and circumferential displacements of the soil layer. Then, the force of unit thickness soil layer on the pipe pile and the impedance factor of the soil layer are obtained. The horizontal dynamic equations of pipe pile are established considering the effect of soil layers. The horizontal dynamic impedance and horizontal‐swaying dynamic resistance at the pile top are obtained by combining the pipe pile‐soil boundary conditions and the orthogonal operation of trigonometric function. Numerical solutions are used to analyze the influence of pile and soil parameters on the soil impedance factor and horizontal dynamic impedance at pile top. The results show that the horizontal impedance factors of the soil layer and horizontal dynamic impedance of pipe pile by using the fractional derivative viscoelastic model can be degraded to those of the classical viscoelastic model and the elastic model. For the fractional derivative viscoelastic model of soil layer, the influence of soil around pile on the dynamic impedance is greater than that of pile core soil. The model parameter TOa, the inner radius of pipe pile, and the pile length have obvious effects on the horizontal impedance of the soil layer and pipe pile, while the influence of the pile core soil on the pile impedance is smaller.
School Travel Inequity between Students from Public and Private Schools in the City of Shenzhen, China
Authors: Xiao Zuopeng , Lin Taoyu , Liao Jingying , Lin Yaoyu
Published: November 2021

Understanding school travel inequities and promoting active travel policies more effectively is an increasingly important issue in the international transport policy agenda. Using the dataset of the 2014 Shenzhen primary and secondary school travel survey, this study empirically revealed the permanent residence permit (hukou) system in the context of China shapes the evident inequities between students from public schools and private schools. Students without a legitimated hukou to local areas suffer from more constraints, longer distances, and more time to access private schools which are excluded from the public sponsorship and have disadvantages in geographical locations. Applying the ordered logistic model, this study specifically investigated the influential factors of school commuting travel mode. Household vehicle ownership and travel features (i.e., chauffeuring and home-school distance) have a much more significant role in school travel mode decisions, which largely surpassed the role individual demographic attributes and the school surrounding built environment play. The implications of this study shed light on making more specific strategies for private schools to mitigate mobility inequity imposed on disadvantaged students.
Application of Wireless Virtual Reality Perception and Simulation Technology in Film and Television Animation
Authors: Lei Di , Kim Sae-Hoon
Published: November 2021

Wireless virtual reality integrated multidisciplinary technology, combined with related industries and fields, has changed the way of human‐computer interaction and opened up a new field of user experience. In recent years, with the rapid improvement of computer technology and hardware conditions, interactive technology has developed rapidly. The existing wireless virtual reality interactive system is too single and cannot be used in multiple environments. The original system requires a large number of sensor equipment, the cost is high, and the traditional perception technology is too restrictive and cannot realize human‐computer interaction more naturally. This paper proposes a dual intention perception algorithm based on the fusion of touch (obtained by experimental simulation equipment), hearing, and vision. The algorithm can perceive the user’s operation intention through the user’s natural behavior and can identify the user’s two intentions at the same time. This paper proposes a navigational interactive mode, which provides users with multimodal intelligent navigation through intelligent perception of user intent and experimental progress. We determine the impact model of the interactive system effect evaluation and analyze its effect evaluation strategy in depth and then further quantify the indicators under the four effect dimensions of information perception, artistic reflection, social entertainment, and aesthetic experience. A combination of qualitative and quantitative methods was used to carry out relevant research on effect evaluation, usability test, and questionnaire interview. The experimental results show that this interactive system has better entertainment effects than other forms of film and television animation, but still needs to pay attention to and strengthen the construction and embodiment of film and television animation content, as well as the optimization and perfection of the fault‐tolerant mechanism in the design process.
Research on Recognition of Faces with Masks Based on Improved Neural Network
Authors: Zhang Song , Sun Jiandong , Kang Jie , Wang Shaoqiang
Published: November 2021

Background. At present, the new crown virus is spreading around the world, causing all people in the world to wear masks to prevent the spread of the virus. Problem. People with masks have found a lot of trouble for face recognition. Finding a feasible method to recognize faces wearing masks is a problem that needs to be solved urgently. Method. This paper proposes a mask recognition algorithm based on improved YOLO-V4 neural network and the integrated SE-Net and DenseNet network and introduces deformable convolution. Conclusion. Compared with other target detection networks, the improved YOLO-V4 neural network used in this paper improves the accuracy of face recognition and detection with masks to a certain extent.
rRNA Analysis Based on Long‐Read High‐Throughput Sequencing Reveals a More Accurate Diagnostic for the Bacterial Infection of Ascites
Authors: Yu Xiaoling , Jiang Wenqian , Huang Xinhui , Lin Jun , Ye Hanhui , Liu Baorong
Published: November 2021

Traditional pathogenic diagnosis presents defects such as a low positivity rate, inability to identify uncultured microorganisms, and time‐consuming nature. Clinical metagenomics next‐generation sequencing can be used to detect any pathogen, compensating for the shortcomings of traditional pathogenic diagnosis. We report third‐generation long‐read sequencing results and second‐generation short‐read sequencing results for ascitic fluid from a patient with liver ascites and compared the two types of sequencing results with the results of traditional clinical microbial culture. The distribution of pathogenic microbial species revealed by the two types of sequencing results was quite different, and the third‐generation sequencing results were consistent with the results of traditional microbial culture, which can effectively guide subsequent treatment. Short reads, the lack of amplification, and enrichment to amplify signals from trace pathogens, and host background noise may be the reasons for the high error in the second‐generation short‐read sequencing results. Therefore, we propose that long‐read‐based rRNA analysis technology is superior to the short‐read shotgun‐based metagenomics method in the identification of pathogenic bacteria.
A Conservative Approach to a Large Mycotic Pulmonary Pseudoaneurysm
Authors: Torpey Erin , Spears Jenna , Al-Saiegh Yousif , Roeser Mindi
Published: November 2021

Pulmonary mycotic pseudoaneurysm is a rare complication of bacteremia with high associated mortality. We present a case of a large proximal pulmonary artery pseudoaneurysm as a result of methicillin-sensitive Staphylococcus aureus bacteremia, originating from a tunneled dialysis catheter infection. This case was ultimately managed conservatively with surveillance imaging and a prolonged intravenous antibiotic course, rather than with surgical or interventional management. To our knowledge, this is the first reported case of a mycotic pulmonary pseudoaneurysm due to septic embolization of an infected superior vena cava thrombus.
Research on the Impact of Sino-US Trade Structure on the Real Effective Exchange Rate of RMB
Authors: Yan Jiajia , Cai Jinlong
Published: November 2021

Since the beginning of 2018, Sino-US trade frictions have been escalating to the fields of science and technology, finance, and geography. Especially in the financial field, the United States has forcibly identified China as a “currency manipulator.” In order to analyze the impact of Sino-US trade on the RMB exchange rate, based on the Sino-US import and export trade data under the quarterly HS classification from 2003 to 2019 and the RMB real effective exchange rate, this article carries out the traditional time series test, seasonal unit root test, and cointegration test and further constructs the seasonal error correction model to explore the long-term and short-term dynamic impact of Sino-US import and export trade structure on RMB real effective exchange rate. The results shows that the upgrading and optimization of the overall trade structure between China and the United States will increase the appreciation pressure of RMB real effective exchange rate. There are seasonal and long-term trends between RMB real effective exchange rate and different types of import and export trade structures between China and the United States. Therefore, this article not only strongly refutes the “theory of RMB appreciation” and puts forward policy suggestions to effectively deal with the negative impact of Sino-US trade friction but also provides a research framework for global trade, especially the decoupling of trade structure and exchange rate between developing and developed countries.
[Retracted] Construction of New Intelligent Teaching Scene Based on Multimodal Wireless Sensing Technology
Authors: Zhou Lin
Published: November 2021

With the continuous development of computer technology and the gradual popularization of information technology application, the construction of intelligent teaching scene based on wireless sensing technology plays a more and more important role in modern information education. Taking a primary school as an example, this paper introduces multimodal wireless sensing technology into the construction of intelligent teaching system. The purpose of this paper is to explore the construction of a new teaching scene. Firstly, this paper deeply analyzes the sensing mechanism of wireless signal and optimizes the sensing mode, deployment structure, and signal processing in practical application, so that the system can run more effectively in the actual environment. Then, based on multimodal wireless sensing technology, this paper designs and optimizes the basic architecture and functions of intelligent teaching scene. The results show that combining the characteristic information of each mode to get the information conducive to identity confirmation, which can get better recognition performance and improve the accuracy. Combining the information of multiple modes can greatly improve the recognition performance. The user interest model combined with dynamic and static is used to optimize the system recommended resources, so that students can obtain high‐quality and highly matched learning resources more quickly and accurately, so as to improve students’ learning efficiency in resource acquisition.
Treatment of Shiga-Toxin Hus with Severe Neurologic Features with Eculizumab
Authors: Umscheid Jacob H. , Nevil Collin , Vasudeva Rhythm , Ali Mohammed Farhan , Agasthya Nisha
Published: November 2021

Hemolytic Uremic Syndrome (HUS) is a constellation of microangiopathic hemolytic anemia, thrombocytopenia, and acute renal failure. Shiga toxin-producing Escherichia coli- (STEC-) mediated HUS is a common cause of acute renal failure in children and can rarely result in severe neurological complications such as encephalopathy, seizures, cerebrovascular accidents, and coma. Current literature supports use of eculizumab, a monoclonal antibody that blocks complement activation, in atypical HUS (aHUS). However, those with neurologic complications from STEC-HUS have complement activation and deposition of aggregates in microvasculature and may be treated with eculizumab. In this case report, we describe a 3-year-old boy with diarrhea-positive STEC-HUS who developed severe neurologic involvement in addition to acute renal failure requiring renal replacement therapy. He was initiated on eculizumab therapy, with clinical improvement and organ recovery. This case highlights systemic complications of STEC-HUS in a pediatric patient. The current literature is limited but has suggested a role for complement mediation in cases with severe complications. We review the importance of early recognition of complications, use of eculizumab, and current data available.
Analysis of Rural Tourism Demand Characteristics and Experience Differences Based on Association Rule Mining
Authors: Jiang Qun
Published: November 2021

Whether the characteristics of rural tourism changes or not provides the scale and basis for judging whether the rural tourism landscape has changed, but it cannot provide a judgment on the impact of rural tourism landscape changes. The impact is relative to the rural tourism landscape goal. The determination of rural tourism landscape objectives provides a baseline for judging the direction and impact of rural tourism characteristics and provides a prerequisite for rural tourism landscape actions. The determination of the quality target of the rural tourism landscape is mainly determined by the internal process and external demand of the rural tourism landscape. Through in‐depth research on the frequent pattern growth algorithm FP‐Growth, the algorithm can find frequent item sets by not generating candidate item sets. The core of the algorithm is the frequent pattern tree FP‐tree, which can efficiently compress the transaction database. Based on the advantages of FP‐tree, this paper improves a FP_Apriori algorithm based on frequent pattern trees. This algorithm projects the entire transaction database onto the FP‐tree, avoiding a lot of I/O overhead. At the same time, I propose a more directional and targeted search strategy for FP‐tree, which reduces the running time of the algorithm and uses the principle of the Mapping_Apriori algorithm to prethin the frequent item sets. This article uses the text analysis method of network data to excavate the characteristics and internal structure of rural tourism demand. The rural tourism market has a wide range of needs and multiple levels, and traditional research methods such as questionnaires have limited sample size and sample structure. With the help of network data, text mining, and other statistical analysis methods, in‐depth empirical research on the characteristics and spatial structure of rural tourism in a certain region can cover more research groups. The research confirms that the results of using text analysis and questionnaire analysis on the perception of destination image are relatively consistent. Therefore, the network text analysis method is an effective tool to study the demand structure of the rural tourism market.
Construction of miRNA‐mRNA‐TF Regulatory Network for Diagnosis of Gastric Cancer
Authors: Fu Zhenjie , Xu Yuqin , Chen Yan , Lv Hang , Chen Guiping , Chen Yitao
Published: November 2021

Gastric cancer (GC), as an epidemic cancer worldwide, has more than 1 million new cases and an estimated 769,000 deaths worldwide in 2020, ranking fifth and fourth in global morbidity and mortality. In mammals, both miRNAs and transcription factors (TFs) play a partial role in gene expression regulation. The mRNA expression profile and miRNA expression profile of GEO database were screened by GEO2R for differentially expressed genes (DEGs) and differentially expressed miRNAs (DEMs). Then, DAVID annotated the functions of DEGs to understand the functions played in biological processes. The prediction of potential target genes of miRNA and key TFs of mRNA was performed by mipathDB V2.0 and CHEA3, respectively, and the gene list comparison was performed to look for overlapping genes coregulated by key TFs and DEMs. Finally, the obtained miRNAs, TF, and overlapping genes were used to construct the miRNA‐mRNA‐TF regulatory network, which was verified by RT‐qPCR. 76 upregulated DEGs, 199 downregulated DEGs, and 3 upregulated miRNAs (miR‐199a‐3p/miR‐199b‐3p, miR‐125b‐5p, and miR‐199a‐5p) were identified from the expression profiles of mRNA (GSE26899, GSE29998, GSE51575, and GSE13911) and miRNA (GSE93415), respectively. Through database prediction and gene list comparison, it was found that among the 199 downregulated DEGs, 61, 71, and 69 genes were the potential targets of miR‐199a‐3p/miR‐199b‐3p, miR‐125b‐5p, and miR‐199a‐5p, respectively. 199 downregulated DEGs were used as the gene list for the prediction of key TFs, and the results showed that RFX6 ranked the highest. The potential target overlap genes of miR‐199a‐3p/miR‐199b‐3p, miR‐125b‐5p, and miR‐199a‐5p were 4 genes (SH3GL2, ATP4B, CTSE, and SORBS2), 7 genes (SLC7A8, RNASE4, ESRRG, PGC, MUC6, Fam3B, and FMO5), and 6 genes (CHGA, PDK4, TMPRSS2, CLIC6, GPX3, and PSCA), respectively. Finally, we constructed a miRNA‐mRNA‐TF regulatory network based on the above 17 mRNAs, 3 miRNAs, and 1 TF and verified by RT‐qPCR and western blot results that the expression of RFX6 was downregulated in GC tissues. These identified miRNAs, mRNAs, and TF have a certain reference value for further exploration of the regulatory mechanism of GC.
On the Hadamard Well-Posedness of Generalized Mixed Variational Inequalities in Banach Spaces
Authors: Ceng Lu-Chuan , Liou Yeong-Cheng , Wen Ching-Feng , Hu Hui-Ying , He Long , Cui Yun-Ling
Published: November 2021

We introduce a new concept of Hadamard well-posedness of a generalized mixed variational inequality in a Banach space. The relations between the Levitin–Polyak well-posedness and Hadamard well-posedness for a generalized mixed variational inequality are studied. The characterizations of Hadamard well-posedness for a generalized mixed variational inequality are established.
Insulin Topical Application for Wound Healing in Nondiabetic Patients
Authors: Sun Shudong , Zhang Lei , Liu Jun , Li Huiling
Published: November 2021

Background. Low-cost and safe strategies to improve wound healing will be of great social and economic value. The goal of this pilot clinical trial is aimed at analyzing how effective insulin therapy is at healing wounds in nondiabetic people. Methods. In this protocol research, 346 individuals were included. Patients were divided as 2 groups at random: experimental patients were given a ten-unit answer. For each 10 cm2 of wound, insulin was injected in solution with 1 mL 0.9 percent saline, whereas the control group got a standard dressing with normal saline. Results. During the therapy period, no adverse effects were reported. After insulin therapy, no substantial insulin-related side effects were reduced. After 10 days of therapy, the experimental group’s granulation tissue coverage rate and thickness were considerably improved as compared to control. Furthermore, a momentous difference in the occurrence of wound bleeding and suppurative wounds between the two groups (

P
=
0.05

). Conclusion. The results of this pilot research suggest that insulin injections could harmless and effective alternative therapy for wound healing in nondiabetic individuals and that larger, placebo-controlled trials are needed to evaluate effectiveness and safety of insulin treatment in wound healing patients.
Macrophage-Targeted Therapy Unlocks Antitumoral Cross-talk between IFNγ-Secreting Lymphocytes and IL12-Producing Dendritic Cells
Authors: Pfirschke Christina , Zilionis Rapolas , Engblom Camilla , Messemaker Marius , Zou Angela E. , Rickelt Steffen , Gort-Freitas Nicolas A. , Lin Yunkang , Bill Ruben , Siwicki Marie , Gungabeesoon Jeremy , Sprachman Melissa M. , Marquard Angela N. , Rodell Christopher B. , Cuccarese Michael F. , Quintana Jeremy , Ahmed Maaz S. , Kohler Rainer H. , Savova Virginia , Weissleder Ralph , Klein Allon M. , Pittet Mikael J.
Published: November 2021

Macrophages often abound within tumors, express colony-stimulating factor 1 receptor (CSF1R), and are linked to adverse patient survival. Drugs blocking CSF1R signaling have been used to suppress tumor-promoting macrophage responses; however, their mechanisms of action remain incompletely understood. Here, we assessed the lung tumor immune microenvironment in mice treated with BLZ945, a prototypical small-molecule CSF1R inhibitor, using single-cell RNA sequencing and mechanistic validation approaches. We showed that tumor control was not caused by CSF1R+ cell depletion; instead, CSF1R targeting reshaped the CSF1R+ cell landscape, which unlocked cross-talk between antitumoral CSF1R− cells. These cells included IFNγ-producing natural killer and T cells, and an IL12-producing dendritic cell subset, denoted as DC3, which were all necessary for CSF1R inhibitor–mediated lung tumor control. These data indicate that CSF1R targeting can activate a cardinal cross-talk between cells that are not macrophages and that are essential to mediate the effects of T cell–targeted immunotherapies and promote antitumor immunity.

See related Spotlight by Burrello and de Visser, p. 4 .
Vasyl Pastushenko’s Scientific School in the Development of Soil Protection Technologies in Ukraine
Authors:   Institute of History of Agrarian Science, Education and Technology, Kovalenko Nataliia
Published: November 2021

The article describes the achievements of scientists of the leading scientific school of thought on the development of soil protection technologies in Ukraine, founded by Vasyl Onufriievych Pastushenko (1907–1999). The introduction of the years of the scientists’ research in Ukrainian farms with different soil and climatic conditions has resulted in efficient production of quality agricultural products and improvement of environmental conditions, particularly, the improvement of soil protection crop rotations with the cultivation of mixtures of perennial legumes and siderates, anti-erosion cultivation of soil across the slopes, fertilizer and mulching, etc. Among the followers of Vasyl Pastushenko are the well-known scientists P. I. Boiko, V. O. Borodan, V. V. Kulbida, H. K. Medvid, I. H. Predko, I. H. Zakharchenko, and others. The purpose of the article is to review the achievements of these scientists in the development of soil protection, anti-erosion measures in different soil and climatic conditions in Ukraine.
Effect of COVID‐19 on Acute Ischemic Stroke Hospitalizations and Treatments: Population‐Level Experience
Authors: Kim Youngran , Sharrief Anjail , Khose Swapnil , Abdelkhaleq Rania , Salazar‐Marioni Sergio , Krause Trudy Millard , McCullough Louise D. , Zhang Guo‐Qiang , Sheth Sunil A.
Published: November 2021

Background

Several studies have reported changes in the volume and type of acute ischemic stroke (AIS) hospitalizations during the early stage of the COVID‐19 pandemic. However, population‐based assessments, which include lower volume centers and more comprehensive geographic areas, are limited. Here, we evaluate an entire state‐level experience during the first peak COVID pandemic and compare against a 1‐year prior historical period.

Methods

We conducted a retrospective population‐based study using the Texas Inpatient Public Use Data File, capturing all discharges from hospitals in the State of Texas, except federal hospitals. AIS admission volumes, patient characteristics, proportions of large vessel occlusion (LVO), admission rates to comprehensive stroke centers, use of intravenous tissue plasminogen activator and endovascular treatment, and patient outcomes were compared between April 1, 2019 and June 30, 2019 (historical control period) and April 1, 2020 and June 30, 2020 (pandemic period).

Results

A total of 9277 hospitalized AIS cases were identified during the pandemic period, a decrease of 12% (10 524) compared with the control period. Cases without LVO dropped by 15%, whereas LVO cases dropped by only 5%. There were no significant differences in age or race and ethnicity of patients. While admission rates to comprehensive stroke centers (39.6% versus 39.4%,
P
=0.81) and endovascular treatment use in LVO (17.0% versus 16.3%,
P
=0.45) were not different between the 2 periods, the use of intravenous tissue plasminogen activator (15.0% versus 13.6%, relative risk [RR], 0.90; 95% CI, 0.84–0.97;
P
=0.004) decreased. The percentage of patients who died or were discharged to hospice increased from 7.2% to 8.25% (RR, 1.17; 95% CI. 1.06–1.29;
P
=0.001).

Conclusions

This study from a statewide population‐level analysis confirms smaller hospital‐based cohorts observing decreasing numbers of milder AIS admissions, and lower use of thrombolysis. Although LVO admissions and endovascular treatment use were largely unchanged, these findings suggest missed treatment opportunities for patients with AIS in the pandemic.
New combinations and re-lectotypification in the genus Imbralyx (Fabaceae: Millettieae)
Authors: SONG ZHU-QIU
Published: November 2021

Imbralyx R. Geesink (Fabaceae: Millettieae) was long recognized as part of the genus Fordia Hemsl. However, Imbralyx has a unique characteristic combination of characters within Millettieae and it can be readily distinguished from Fordia and other genera of the tribe, including transitional inflorescences to pseudoracemes, distinctly imbricate calyx lobes in buds, spindle-shaped flowerbuds, white flowers, distinct hypanthium, monadelphous stamens, and glabrous leaflets with raised nervation on both surfaces. Recent molecular evidence also suggested that Imbralyx should be treated as a genus distinct from Fordia, because the two genera were placed respectively in two different main subclades within the core Millettieae, i.e. Canavanine group and Non-canavanie group, which is consistent with previous chemical evidence. So far the genus Imbralyx comprises nine species and two varieties from Asia, but only one epithet has been definitely associated with the generic name. Therefore, ten new combinations in Imbralyx are proposed in this paper. Additionally, lectotypes are re-designated here for the two basionyms Millettia albiflora Prain and M. unifoliata Prain.
Two new genera and six new species of Stenosini (Coleoptera: Tenebrionidae: Pimeliinae) from Myanmar (Burma), collected by René Fouquè
Authors: SCHAWALLER WOLFGANG , BIGALK SONIA
Published: November 2021

New taxa of the tenebrionid tribe Stenosini Schaum, 1859 (subfamily Pimeliinae Latreille, 1802) from central Myanmar (Burma) in the region around Mandalay are described: Bamarosis gen. nov. fouquei sp. nov. (subtribe Dichillina), Shanosis gen. nov. renei sp. nov. (subtribe Dichillina), Gebieniella ellenae sp. nov., Gebieniella matthiasi sp. nov., Stenosis helenae sp. nov., Stenosis mandalayca sp. nov. The proposed subgenera in some genera of Stenosini, based on certain species, but not on complete revisions of the corresponding genera remain doubtful and are not considered herein. A checklist of all taxa of Stenosini known from Burma is added.