bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Sustainable Development of Olympic Games Based on Ecological Carrying Capacity Analysis
Authors: Zhang Bin , Liu YuFeng
Published: May 2022

The Olympic Games is a comprehensive social and cultural activity with the most complicated system and the largest scale. With the development of the Olympic Games, the ecological problems brought by the Olympic Games have attracted increasing attention, and the sustainable development of the Olympic Games has been put on the agenda. Based on the comprehensive index of Ecological Carrying Capacity (ECC), Environmental Kuznets Curve, and carbon footprint analysis of the Olympic Games host city competition cycle, this study analyzes three modes of ECC of the host city: light urban ecological burden mode, heavy urban ecological burden mode, and overload urban ecological burden mode. Based on the temperature sensor and GPS positioning, the land surface temperature change map of Tokyo, Japan, from 1990 to 2015 is obtained, and the heat island effect of Tokyo is obtained. This paper analyzes the case of using sensors for intelligent event management such as venue detection in the sustainable development plan of the 2020 Tokyo Olympics; the idea and practice of thrifty hosting of 2022 Beijing Winter Olympics and 2022 Hangzhou Asian Games holds that in most cases, the ECC of the host city of the Olympic Games is under great pressure, so it is necessary to pay attention to the ECC of the host city. The sustainable development of the Olympic Games is an important issue in the development of the Olympics, but the sustainable development plan of the Olympics is still being explored. It is suggested that the sustainable development of the Olympic Games needs to evaluate the ECC of the host city in the whole cycle, establish the principle of ecological priority to avoid the overload mode of ecological burden, strive to achieve carbon neutrality in the competition, and practice the idea of scientific frugality in running the competition.
Performance of the 2D Coupled Map Lattice Model and Its Application in Image Encryption
Authors: Liu Zhuo , Liu Jin Yuan , Zhang Leo Yu , Zhao Yong , Gong Xiao Feng
Published: May 2022

The two‐dimensional coupled map lattice (2D CML) model has been extensively employed as the basis component for designing various schemes in the cryptography system due to its complicated chaotic dynamic behavior. In this study, we analyze the chaotic characteristics of the 2D CML model, such as the Lyapunov exponent (LE), synchronization stability, bifurcation, and ergodicity. We then show that the chaotic sequences generated by the 2D CML model are random according to the NIST testing. Furthermore, we propose an image encryption scheme based on the 2D CML model and Singular Value Decomposition (SVD). In our scheme, the SVD method is used to reduce the image storage, and the Red, Green, and Blue channels of a color image will be encrypted through confusion and diffusion. The simulation results, as well as the results of the comparison with other schemes, demonstrate that our scheme possesses outstanding statistics, excellent encryption performance, and high security. It has great potential for ensuring the security of digital images in real applications.
Nonlinear Dynamics and Multistability in a Cobweb Model
Authors: Askar S. S.
Published: May 2022

This paper studies the dynamic characteristics of an economic cobweb model whose producers adopt a gradient‐based mechanism. The model’s producers are taken to be boundedly rational, and then the model is studied as a 1D and 2D discrete time dynamical system. Due to the lack of information in the market regarding the function of demand, the producers depend on the estimation of the marginal profit variations so as to update their prices next period. The equilibrium price point is calculated, and its local stability conditions are discussed through analytical and numerical investigations. In the 2D model, where the memory factor is introduced, the equilibrium price is obtained, and it is shown that it can be destabilized through chaotic behaviors, which are formed due to period doubling and Neimark‐Sacker bifurcation. Furthermore, we study the symmetric case when the producers update their prices based on the marginal profit in the past two time periods, and therefore, we investigate the influence of the speed of adjustment parameter on the stability of equilibrium price.
Compilation of Smart Cities Attributes and Quantitative Identification of Mismatch in Rankings
Authors: Marzouk Osama A.
Published: May 2022

One practical way to define a “smart city” is to look at the specific qualities listed in a ranking study about smart cities. Such method gives de facto guidelines for classifying a city as being smart or not. Building upon this rationale, the current work in its first objective presents features adopted in evaluating the “smartness” of cities in seven evaluations and in its second objective arranges them in a suggested structure of six scopes with forty-three keywords. With these two objectives, the current study serves as a summary of various ranking studies in terms of being a collection place of many evaluation criteria. Four of the considered studies are the 2018 and 2019 annual editions from two sources, and comparing these criteria shows some changes over one year, and these updates are highlighted. A third objective of this study considers analyzing assigned ranks and utilizing a normalized score (limited to a maximum of unity) derived from the raw scores given in six ranking studies (out of the seven considered, with one ranking study excluded as it does not give raw numerical scores) to the six cities that commonly appear in all of them. This part shows with details the existence of mismatch not just in a one-time ranking, but also in a year-to-year trend, where a city appears to be improving according to one evaluator while appears to be degrading according to another evaluator. As a fourth objective, statistical analysis of the evaluation results was conducted, with quantitative assessment of rankings mismatch.
College Students with Oral Habits Exhibit Worse Psychological Status and Temporomandibular-Related Quality of Life: A Correlational Study
Authors: Yang Wenke , Xiong Xin , Wu Yange , Zhu Yufan , Liu Jiaqi , Ye Chengxinyue , Zhang Qinlanhui , Wang Jun
Published: May 2022

Purpose. To evaluate the relationship between oral habits, psychological status, and temporomandibular-related quality of life among college students. Materials and Methods. An online questionnaire was sent to college students who were willing to participate in this anonymous survey, which contained questions about the demographic characteristics of the participants, the Patient Health Questionnaire for Depression and Anxiety (PHQ-4), the Fonseca Anamnestic Index (FAI), and the Oral Health Impact Profile for temporomandibular disorders (OHIP-TMDs). Results. A total of 505 valid questionnaires were collected from 200 males and 305 females (a mean age of 21.81 ± 2.81 years). The prevalence of oral habits in college students was 58% (294/505). Female gender (odds ratio (OR) 1.786) and having oral habits (OR 1.893) were associated with depression and anxiety. Medical students had significantly less depression and anxiety (OR 0.459) than nonmedical students. The possibility of suffering from temporomandibular disorder (TMDs) as evidenced by the OHIP-TMDs score was associated with female gender (OR 1.989) and having oral habits (OR 3.482). Students with oral habits had higher OHIP-TMDs scores. Conclusion. More than half of the college students surveyed had specific oral habits, with a higher prevalence in women than in men. Having oral habits was related to a worse psychological status, higher risk of TMD, and worse temporomandibular-related quality of life.
A Global and Sector-Based Comparison of OCT Angiography and Visual Field Defects in Glaucoma
Authors: Kong Alan W. , Turner Marcus L. , Saifee Murtaza , Jethi Mohit , Mora Marta , Ou Yvonne
Published: May 2022

Purpose. To evaluate the correlation of optical coherence tomography angiography (OCTA) and spectral-domain optical coherence tomography (SD-OCT) with visual field for global and sector-based indices among glaucoma and glaucoma-suspected eyes. Patients and Methods. This is a retrospective study, and in total, 48 glaucoma eyes and 31 glaucoma suspect eyes were included. The correlation between visual field parameters and radial peripapillary capillary (RPC) vessel density via OCTA was compared to the correlation with retinal nerve fiber layer (RNFL) thickness via SD-OCT. The RPC vessel density and RNFL thickness were divided into eight sectors, which included the temporal upper, temporal lower, superotemporal, inferotemporal, superonasal, inferonasal, nasal upper, and nasal lower sectors. Pearson correlations with 95% confidence intervals were calculated with resampling, and correlations were compared with a Fisher Z transformation. Results. Both RPC vessel density (R = 0.63, 95% CI [0.24, 0.86]) and RNFL thickness (R = 0.49, 95% CI [0.23, 0.69]) were correlated with the mean deviation when comparing global indices of glaucoma patients. In glaucoma suspects, the correlations between the mean deviation and RPC vessel density (R = 0.21, 95% CI [−0.05, 0.49]) and RNFL thickness (R = 0.01, 95% CI [−0.35, 0.39]) were not significant. Glaucoma eyes had the highest correlation between the mean sensitivity and RPC vessel density and RNFL thickness for the superotemporal, superonasal, temporal upper, and inferotemporal sectors. Conclusion. Across a diverse population and heterogeneous glaucoma types, RPC vessel density measurements correlate with global and sector-wise visual field indices similar to RNFL thickness.
An Extraction System of Ice and Snow for Sports Technical Index Using Internet of Things
Authors: Fu Ming , Yang Tao , Zhong Qun , Dong Jixue
Published: May 2022

With the economic development in recent years and the holding of the 2022 Winter Olympics, ice and snow sports have been widely popularized and promoted around the world. More and more outdoor sportsmen are appearing, and the movement is an extremely intense outdoor sport, so it is very popular among outdoor enthusiasts, but physical injuries can easily occur during exercise. Therefore, aiming at this problem, this paper studies the extraction system of the movement technical indicators. This paper is aimed at studying the extraction system of the movement technical indicators based on the Internet of Things. This paper proposes the development of the Internet of Things and the importance of the movement sports, describes the concepts of the two in detail, and proposes a wireless sensor network method using Internet of Things. The experimental results show that the average opening percentage of Chinese ski resorts in 2016 was around 8.5%. By 2021, the opening percentage of Chinese ski resorts will reach a maximum of around 37%. It can be seen that China is paying more and more attention to the movement sports, and the development of the movement is becoming more and more important. From the data in Table 4, it can be seen that 50 ice and snow sports enthusiasts believe that the favorable influence of ice and snow sports is that people can understand the ice and snow culture and make it inheritable. This can improve people’s physical fitness and is conducive to healthy development.
An Intelligent Security Classification Model of Driver’s Driving Behavior Based on V2X in IoT Networks
Authors: Dai Songyin , Zhong Yuan , Xu Cheng , Liu Hongzhe , Yuan Jiazheng , Wang Pengfei
Published: May 2022

Traffic accidents occur frequently in Internet of Things (IoT) safety system. Traffic accidents are largely caused by drivers’ unsafe driving behaviors in the process of driving. Aiming at the problem of low safety of real-time warning in driving, this paper proposes a model to detect driver behavior. Firstly, according to the driver target detection for positioning, combined with the Pose Estimation to identify the driver in the process of driving a variety of driving behaviors, at the same time, a rating model is built to score drivers’ driving behaviors. Then, by integrating the driver behavior model and evaluation rules, the system can give timely and active warning when the driver makes unsafe behavior in the process of driving. Finally, in the V2X scenario, feedback and presentation are given to users in the form of points. The experimental results show that, in the scenario of Internet of vehicles, the driving behavior rating model can well analyze and evaluate drivers’ driving behaviors, so that drivers can more accurately understand their abnormal driving behaviors and driving scores, which plays a significant role in IoT safety management.
HLA-DQB1-AS1 Promotes Cell Proliferation, Inhibits Apoptosis, and Binds with ZRANB2 Protein in Hepatocellular Carcinoma
Authors: Long Jianwu , Liu Longfei , Zhou Xiaoyun , Lu Xianzhou , Qin Lei
Published: May 2022

Major histocompatibility complex, class II, DQ beta 1 antisense RNA 1 (HLA-DQB1-AS1) conferred the susceptibility to hepatocellular carcinoma. Sustaining cell growth and resisting apoptosis are two hallmarks of hepatocellular carcinoma. The present study explored the role of HLA-DQB1-AS1 in the proliferation and apoptosis of hepatocellular carcinoma cells and investigated its downstream pathway. Colony formation assay was performed to assess cell proliferation. Cell apoptosis was assessed with the TdT-mediated dUTP nick end labeling method. HLA-DQB1-AS1 deficiency exerts antiproliferative and proapoptotic effects on hepatocellular carcinoma cells. Moreover, based on bioinformatic analysis combined with the results of RNA immunoprecipitation assay, HLA-DQB1-AS1 was revealed to bind with zinc finger RANBP2-type containing 2 (ZRANB2) protein. ZRANB2 was upregulated in hepatocellular carcinoma at a clinical and cellular level. HLA-DQB1-AS1 caused no significant effects on ZRANB2 mRNA and protein expression. ZRANB2 knockdown suppressed cell proliferation and enhanced cell apoptosis of hepatocellular carcinoma. Moreover, ZRANB2 overexpression rescued the anticancer effect of silenced HLA-DQB1-AS1 in hepatocellular carcinoma cells. In conclusion, HLA-DQB1-AS1 promotes cell proliferation and inhibits apoptosis in hepatocellular carcinoma by the interaction with ZRANB2 protein.
Exploration of the System-Level Mechanisms of the Herbal Drug FDY003 for Pancreatic Cancer Treatment: A Network Pharmacological Investigation
Authors: Lee Ho-Sung , Lee In-Hee , Kang Kyungrae , Park Sang-In , Jung Minho , Yang Seung Gu , Kwon Tae-Wook , Lee Dae-Yeon
Published: May 2022

Pancreatic cancer (PC) is the most lethal cancer with the lowest survival rate globally. Although the prescription of herbal drugs against PC is gaining increasing attention, their polypharmacological therapeutic mechanisms are yet to be fully understood. Based on network pharmacology, we explored the anti-PC properties and system-level mechanisms of the herbal drug FDY003. FDY003 decreased the viability of human PC cells and strengthened their chemosensitivity. Network pharmacological analysis of FDY003 indicated the presence of 16 active phytochemical components and 123 PC-related pharmacological targets. Functional enrichment analysis revealed that the PC-related targets of FDY003 participate in the regulation of cell growth and proliferation, cell cycle process, cell survival, and cell death. In addition, FDY003 was shown to target diverse key pathways associated with PC pathophysiology, namely, the PIK3-Akt, MAPK, FoxO, focal adhesion, TNF, p53, HIF-1, and Ras pathways. Our network pharmacological findings advance the mechanistic understanding of the anti-PC properties of FDY003 from a system perspective.
Automatic Detection of Android Malware via Hybrid Graph Neural Network
Authors: Zhang Chunyan , Zhou Qinglei , Huang Yizhao , Tang Ke , Gui Hairen , Liu Fudong
Published: May 2022

Automatic malware detection was aimed at determining whether the application is malicious or not with automated systems. Android malware attacks have gained tremendous pace owing to the widespread use of mobile devices. Although significant progress has been made in antimalware techniques, these methods mainly rely on the program features, ignoring the importance of source code analysis. Furthermore, the dynamic analysis is low code coverage and poor efficiency. Hence, we propose an automatic Android malware detection approach, named HyGNN-Mal. It analyzes the Android applications at source code level by exploiting the sequence and structure information. Meanwhile, we combine the typical static features, permissions, and APIs. In HyGNN-Mal, we utilize a deep traversal tree neural network (Deep-TNN) to process the code structure information. Particularly, we add position information to code sequence information before putting in self-attention mechanism. The evaluations conducted on multiple public datasets indicate that our method can accurately identify and classify the malicious software, and their best accuracy is 99.62% and 99.2%, respectively.
Multiparametric Magnetic Resonance Imaging Information Fusion Using Graph Convolutional Network for Glioma Grading
Authors: Guo Peiying , Li Longfei , Li Cheng , Huang Weijian , Zhao Guohua , Wang Shanshan , Wang Meiyun , Lin Yusong
Published: May 2022

Accurate preoperative glioma grading is essential for clinical decision-making and prognostic evaluation. Multiparametric magnetic resonance imaging (mpMRI) serves as an important diagnostic tool for glioma patients due to its superior performance in describing noninvasively the contextual information in tumor tissues. Previous studies achieved promising glioma grading results with mpMRI data utilizing a convolutional neural network (CNN)-based method. However, these studies have not fully exploited and effectively fused the rich tumor contextual information provided in the magnetic resonance (MR) images acquired with different imaging parameters. In this paper, a novel graph convolutional network (GCN)-based mpMRI information fusion module (named MMIF-GCN) is proposed to comprehensively fuse the tumor grading relevant information in mpMRI. Specifically, a graph is constructed according to the characteristics of mpMRI data. The vertices are defined as the glioma grading features of different slices extracted by the CNN, and the edges reflect the distances between the slices in a 3D volume. The proposed method updates the information in each vertex considering the interaction between adjacent vertices. The final glioma grading is conducted by combining the fused information in all vertices. The proposed MMIF-GCN module can introduce an additional nonlinear representation learning step in the process of mpMRI information fusion while maintaining the positional relationship between adjacent slices. Experiments were conducted on two datasets, that is, a public dataset (named BraTS2020) and a private one (named GliomaHPPH2018). The results indicate that the proposed method can effectively fuse the grading information provided in mpMRI data for better glioma grading performance.
Exploration on the Process of Rural Three-Industry Integration through the Stage of Symbiosis
Authors: Cui Wenjing , Chen Jing , Yuan Yiming , Shen Huawen , Zhou Qianyan
Published: May 2022

The orderly development of diverse rural industries affects sustainable development in China. This study offers new insight in that the three-industry integration leads the rural economy as a whole system, with the integration between different industries affecting not just a single industry’s development but also the sustainability of multiple rural industries. Conghua District is taken as an example in this research, and selected indicators and data from the past 14 years are obtained from the Conghua Statistical Yearbook. The density dependence logistic model is adopted to analyze the symbiosis patterns of rural three-industry integration system (RTIIS). The findings reveal that the symbiosis between the primary industry and the secondary industry in Conghua is poor, resulting in a negative symbiosis relationship—namely, the mode of mutual competition. However, the symbiotic development model appears to reveal a positive, asymmetrical relationship (mutualism) between primary industry and tertiary industry and between secondary industry and tertiary industry. This study explores the process of rural three-industry integration through to the stage of symbiosis and provides scientific research methods and directions for the sustainable symbiosis of RTIIS. Future research on RTIIS in the framework of symbiosis theory will be of higher theoretical and practical value.
Comparative Study on Muscle Fiber Types of Longissimus Dorsi of Xinjiang Brown Cattle and Angus Cattle of Different Months
Authors: Sun Ya-wei , Qu Miao , Tuersunbai Jiayinaguli , Wang Xuan-yi , Tuoliken Tuolihanayi , Zhang Xiao-hong , Yao Gang , Shi Huijun
Published: May 2022

The longissimus dorsi muscle of Xinjiang brown cattle and Angus cattle at the age of 3, 7, 12, and 24 months under the same feeding and management conditions were selected to explore the differences of muscle 4 fiber types in this study. The muscle histological and molecular biological reasons for the quality difference between Xinjiang brown cattle and Angus beef were discussed. The morphology of the muscle was compared by ATP enzyme staining and SDH enzyme staining, and its gene expression was detected by qRT-PCR. The mRNA expression levels of Myhc-I in 3-month-old Xinjiang brown cattle were significantly higher than those in Angus cattle of the same age (

P
<
0.01

). The 4 fiber types of 7-month-old Xinjiang brown cattle were significantly lower than those of Angus cattle of the same age (

P
<
0.01

). The expression level of type I and IIb in 12-month-old Xinjiang brown cattle was significantly higher than that in 12-month-old Angus cattle (

P
<
0.05

). Type I and IIa of 24-month-old Xinjiang brown cattle were significantly lower than those of Angus cattle of the same age (

P
<
0.05

). However, in our study, the basic characteristics of longissimus dorsi of Xinjiang brown cattle and Angus cattle, such as color, pH, shearing force, and other characteristics were not detected, which is lacking in this aspect. Overall, with the increase of age, the growth trend of muscle fiber morphology of Xinjiang brown cattle and Angus cattle is roughly the same, but from the point of view of muscle fiber types, the Xinjiang brown cattle are more suitable for the production of early fat calves and to make some reference for improving the quality of beef cattle in China.
Empirical Analysis of Enterprise Financial Management Risk Prediction in View of Associative Memory Neural Network
Authors: Cheng Huifang , Zhang Xishuan
Published: May 2022

Enterprise financial analysis has a far-reaching impact on modern enterprise management decision-making and plays a role that cannot be ignored. Financial status is related to the life and death of an enterprise and is the lifeline of an enterprise. Fast and efficient financial analysis can provide reliable and accurate decision-making information support for enterprise investors, operators, creditors, and other organizations and individuals to understand and evaluate the enterprise status and future development potential. With the development of intelligent methods such as associative memory neural network, the research of financial analysis decision support based on artificial intelligence has been paid more and more attention by academia and management, and has made new progress. Efficient and accurate financial risk prediction can help enterprises predict the possible financial risks in the future earlier, facilitate the early detection of problems, and take effective measures to avoid risks or minimize losses. However, most of the existing mature financial risk prediction studies are based on balanced data sets. The research on the classification of unbalanced data sets is not mature and perfect and needs to be further studied. Generally speaking, this paper mainly adopts the research method of cross integration of various disciplines and organically integrates the key theories, methods, and technologies such as default risk management theory, financial index analysis theory, data mining principle, prediction and decision theory, computer technology, multiclassifier integration technology, a variety of enterprise financial risk early warning technology and statistical sampling, carrying out systematic research on enterprise financial risk prediction. This review constructs the enterprise financial risk prediction method system based on heterogeneous data mining technology, mainly including data preprocessing layer, improved nearest neighbor delta increment layer, heterogeneous nearest neighbor extraction layer, and case-based reasoning prediction layer, so as to improve the traditional financial risk prediction method and obtain a new risk classification prediction model. The case-based method has some significant advantages in risk prediction performance, and it also helps to reduce the probability of financial risk.
FCM Clustering Approach Optimization Using Parallel High-Speed Intel FPGA Technology
Authors: Almomany Abedalmuhdi , Jarrah Amin , Al Assaf Anwar
Published: May 2022

Fuzzy C-Means (FCM) is a widely used clustering algorithm that performs well in various scientific applications. Implementing FCM involves a massive number of computations, and many parallelization techniques based on GPUs and multicore systems have been suggested. In this study, we present a method for optimizing the FCM algorithm for high-speed field-programmable gate technology (FPGA) using a high-level C-like programming language called open computing language (OpenCL). The method was designed to enable the high-level compiler/synthesis tool to manipulate a task-parallelism model and create an efficient design. Our experimental results (based on several datasets) show that the proposed method makes the FCM execution time more than 186 times faster than the conventional design running on a single-core CPU platform. Also, its processing power reached 89 giga floating points operations per second (GFLOPs).
Enhancing Short-Term Prediction of BDS-3 Satellite Clock Bias Based with BSO Optimized BP Neural Network
Authors: Ya Shaoshuai , Zhao Xingwang , Liu Chao , Chen Jian , Liu Chunyang , Hu Haojie
Published: May 2022

The satellite clock bias (SCB) prediction plays an important role in high-accuracy and real-time navigation and positioning. When predicting the SCB, the performance of the BP neural network is affected by the local optimum due to inaccurate initial parameters. Therefore, we propose an improved BP neural network based on the beetle swarm optimization (BSO-BP) algorithm to improve the performance of SCB prediction in third-generation Beidou satellite navigation system (BDS-3). The proposed model takes advantage of group learning strategy to optimize the initialization parameters of the BP neural network and obtains globally optimized parameters. In order to verify the proposed BSO-BP model, 15 BDS satellites are analyzed in terms of prediction accuracy and stability of SCB. The experimental results show that when predicting 1 hour SCB based on a 12 hours SCB data, the prediction accuracy of the BSO-BP model is the best, with an average accuracy of 0.064 ns. As compared with the LP, QP, and GM models, the average prediction accuracy of the proposed BSO-BP model increases by about 72.6%, 43.4%, and 86%, respectively. As the prediction time increases, the influence of the inaccurate initial parameters on SCB prediction gradually decreases, and the prediction accuracy improves. The proposed BSO-BP model has the best accuracy and stability when predicting the 1 h SCB based on the same data. The prediction stability of the proposed BSO-BP model improves by more than 36% as compared with LP, QP, and GM models. In addition, the prediction accuracies of PHM clock and Rb-II clock improved by more than 47%, as compared with that of the Rb clock. Therefore, the overall performance of the atomic clock based on BDS-3 is better than BDS-2. The positioning accuracy of the BSO-BP model can reach the centimeter level in east, north, and up directions.
Educational Psychology Analysis Method for Extracting Students’ Facial Information Based on Image Big Data
Authors: Zhang Maoyue
Published: May 2022

At present, most of the research on academic emotions focuses on the concept, current situation, and relevance. There are not many researches on the application of artificial intelligence-based neural network facial expression recognition technology in practical teaching. With reference to image-based big data, this research integrates the application of artificial intelligence facial expression recognition technology with the research on educational theory and applies information technology to the actual teaching process, in order to promote the optimization of the teaching process and improve the learning effect. Method. A Hadoop cluster consisting of 3 nodes is built on the Linux system, and the environment required for Opencv execution is compiled for each node, which provides support for subsequent parallel optimization, feature extraction, feature fusion, and recognition of student facial images. The image data type and input and output format based on MapReduce framework are designed, and the image data is optimized by means of serialized files. The color features, texture features, and Sift features of students’ facial images and common distractors were analyzed. A parallel extraction framework of student facial image features is designed, and based on this, the student facial image feature extraction under Hadoop platform is implemented. This paper proposes a dynamic sequential facial expression recognition method that combines shallow and deep features with an attention mechanism. The relative position of facial landmarks and local area texture features based on FACS represent shallow-level features. At the same time, the structure of ALexNet is improved to extract the deep features of sequence images to express high-level semantic features. The effectiveness of the facial expression recognition system is improved by introducing three attention mechanisms: self-attention, weight-attention, and convolutional attention. Results/Discussion. Through the analysis of the teaching effect, we found that when teachers can obtain the correct student’s academic mood, they can intervene on the students’ positive academic mood. The purpose of the intervention is to improve the positive academic emotions of students. After the students receive the intervention, their academic emotions are also improved and are positively correlated with their academic performance. Through the analysis of teaching effect, the research can achieve the predetermined goal. From the specific teaching effect of this study, it is concluded that in classroom teaching, teachers should devote energy to intervene in students’ positive academic emotions, in order to improve students’ positive academic emotions, which will improve students’ academic performance and teaching.
The Impact of Multiple Autoclave Cycles on the Surface Roughness of Thermally Treated Nickel-Titanium Endodontic Files
Authors: Ba-Hattab Raidan , Almohareb Rahaf A. , Alkhalaf Rana , Binnjefan Shikhah , Sulayem Meral , Barakat Reem M.
Published: May 2022

In this study, we evaluate the surface roughness (SR) of three thermally treated nickel-titanium rotary instruments (i.e., TruNatomy [TN], ProTaper Gold [PTG], and EdgeTaper Platinum [ETP]) after impact testing with multiple autoclave sterilization cycles using scanning electron microscopy (SEM). Overall, 60 thermally treated files were sourced (i.e., 20 TN, 20 ETP, and 20 PTG files), and each group was divided into four equal subgroups of five files (n = 5). An unsterilized group was assigned as the pre-autoclaving group (Cycle 0), and the other three groups underwent various autoclave sterilization cycles (Cycles 1, 5, and 10). The roughness average (Ra), root mean square (Rq), and average maximum peak-to-valley height (Rz) values were evaluated using SEM and ImageJ software. The Shapiro–Wilk test, one-way analysis of variance, and post-hoc Tukey test were used to analyze the data. The statistical significance level was set at

p
<
0.05

. Before autoclaving, all instruments showed debris and SR but with no statistically significant differences existing between the groups. SR values decreased after one autoclaving cycle for all instruments. After five autoclave cycles, the Rz value of ETP was statistically higher compared with PTG and TN. After 10 autoclave cycles, the Ra and Rq values of TN were statistically higher compared with ETP and PTG. These results suggest that multiple autoclaving sterilization cycles influence the SR of TN, PTG, and ETP, with ETP showing higher levels of surface irregularities than PTG and TN.
Effect of Music Therapy Combined with Free Position Delivery on Labor Pain and Birth Outcomes
Authors: Guo Huimin , Que Mochun , Shen Jie , Nie Qiaole , Chen Youguo , Huang Qin , Jin Aiying
Published: May 2022

Objective. At present, the clinical effect of music therapy combined with free position to assist delivery is rarely reported. Based on evidence-based nursing, this study is aimed at exploring the effect of the combination of music therapy and free position delivery on labor pain and maternal and fetal outcomes. Methods. A total of 440 primiparas with vaginal delivery in the Department of Obstetrics and Gynecology of the First Affiliated Hospital of Soochow University between July 2018 and July 2019 were selected. They were divided into music therapy, free position delivery group (

n
=
201

) and traditional delivery group (

n
=
239

). Subsequently, the two groups were compared in terms of the Chinese Perception of Labor Pain Questionnaire (PLPQ) score, bleeding amount at 2 hours after birth, perineal injury, labor stage duration, and 1 minute Apgar score. Results. The combination group had better results of the Chinese PLPQ score, postpartum hemorrhage, and perineum condition. However, compared with traditional delivery, a longer duration of the first stage and total stage of labor was found in the combination group. Music therapy combined with free position delivery required less medical intervention during delivery, and there was no significant difference in 1 minute Apgar score between the two groups. Conclusions. Music therapy combined with free position delivery, an intervention based on evidence-based nursing, can effectively reduce maternal labor pain, postpartum hemorrhage, soft birth canal injury, and medical intervention during labor. It is, therefore, a safe intervention to assist delivery.
Evaluations of Different Seed-Dressing Fungicides with Chickpea Varieties for the Management of Fusarium Wilt in Eastern Amhara, Ethiopia
Authors: Endalew Alefe Zemenu , Haylemariam Betselot Gizachew , Mohamed Yasin Ahmed
Published: May 2022

The disease fusarium wilt is a serious and infectious year-round disease in chickpea-growing areas and causes huge chickpea yield losses. Thus, this research study was initiated with the objective of evaluating different seed-dressing fungicides with different chickpea varieties for the management of fusarium wilt (Fusarium oxysporum f.sp. ciceris) in Eastern Amhara, Ethiopia. Field experiment was conducted in hot spot areas of two locations using the material: two moderately resistant and one local (susceptible check) chickpea varieties with three commercially available seed-dressing fungicides (Apron Star, Noble, and Thiram). Treatments were arranged factorially in the RCB design with three replications. Results depicted that moderately resistant Mitk variety has significantly reduced disease pressure and gives better yield as compared to Arerti and local chickpea varieties. Even the disease pressure of fusarium wilt was lower in the Mitk variety followed by Arerti, and hence, its incidence and area under the disease progress curve reveal 6.23% and 292.1%-day, which was far apart by 17% and 873%-day, respectively, from Arerti. In case of the local chickpea variety, it was highly infected and its seed yield (0.4 t/ha) was lowered almost by half from the Mitk variety. Despite seed-dressing fungicides showed insignificant difference in both incidence and area under the disease progress curve, Thiram seed-dressing fungicides followed by apron star on Mitk variety indicates reasonable yield increment in both locations. Hence, integration of Mitk chickpea variety with the corresponding Thiram seed-dressing fungicides followed by Apron Star was advisable to manage fusarium wilt disease.
Integrated Gut-Heart Axis and Network Pharmacology to Reveal the Mechanisms of the Huoxue Wentong Formula Against Myocardial Ischemia
Authors: Lin Jianguo , Wang Qingqing , Hua Xin , Duan Jinlong , Yao Kuiwu
Published: May 2022

Background. Myocardial ischemia (MI) is a major public health problem with high mortality and morbidity worldwide. Huoxue Wentong formula (HX), a traditional Chinese medicine (TCM) formula, exhibits unambiguous effects on treating MI and preventing cardiovascular diseases. However, the molecular mechanism of the therapeutic effects of HX on MI remains largely unknown. Objective. This study combined microbiology, metabolomics, and network pharmacology to explore the relationship between the gut microbiota and its metabolites in MI rats and the efficacy of HX. Methods. First, the MI rat model was established by ligation of left anterior descending. Echocardiography, Masson’s staining, and hematoxylin and eosin staining were used to evaluate the effect of HX on MI. Then, fecal metabolomics and 16S rRNA sequencing were used to obtain the microbial and metabolic characteristics of HX on MI. After that, network pharmacology was used to predict the target and action pathway of HX in treating MI. Finally, the relationship between fecal metabolites and target was explored through bioinformatics. Results. HX can improve the cardiac function and ameliorated myocardial fibrosis in MI rats. Moreover, HX can affect the gut microbiota community and metabolites of MI rats, especially Bacteroides, Deferribacteres, Ruminococcus_sp._zagget7, Acidobacteria, daidzein, L-lactic acid, and malate. Network pharmacology found that HX can function through tumor necrosis factor (TNF), tumor protein p53 (TP53), interleukin 6 (IL6), vascular endothelial growth factor A (VEGFA), fos proto-oncogene (FOS), bcl2-associated X (BAX), myeloperoxidase (MPO), PI3K-Akt signaling pathways, and HIF-1 signaling pathway. The mechanism study showed that the anti-MI effect of HX was related to valine, leucine, and isoleucine biosynthesis, fatty acid biosynthesis, and arachidonic acid metabolism. Conclusion. This study demonstrates that HX treated MI rats in a multitarget and multipathway manner. Its mechanism is related to the change of gut microbiota and the regulation of valine, leucine and isoleucine biosynthesis, fatty acid biosynthesis, and arachidonic acid metabolism.
General Decay of a Nonlinear Viscoelastic Wave Equation with Balakrishnân-Taylor Damping and a Delay Involving Variable Exponents
Authors: Zuo Jiabin , Rahmoune Abita , Li Yanjiao
Published: May 2022

This paper was aimed at investigating the stability of the following viscoelastic problem with Balakrishnân-Taylor damping and variable-exponent nonlinear time delay term

u

t
t

−
M

∇
u

2

2

Δ
u
+
α

t

∫

0

t

g

t
−
s

Δ
u

s

d
s
+

μ

1

u

t

p

.

−
2

u

t

+

μ

2

u

t

t
−
τ

p

.

−
2

u

t

t
−
τ

=
0
 
in
 
Ω
×

ℝ

+

,

where

Ω

is a bounded domain of

ℝ

n

,

p

.

:

Ω

¯

⟶
ℝ

is a measurable function,

g
>
0

is a memory kernel that decays exponentially,

α
≥
0

is the potential, and

M

∇
u

2

2

=
a
+
b

∇
u

t

2

2

+
σ

∫

Ω

∇
u
∇

u

t

d
x

for some constants

a
>
0

,

b
≥
0

, and

σ
>
0

. Under some assumptions on the relaxation function, we use some suitable Lyapunov functionals to derive the general decay estimate for the energy. The problem considered is novel and meaningful because of the presence of the flutter panel equation and the spillover problem including memory and variable-exponent time delay control. Our result generalizes and improves previous conclusion in the literature.
Standardized Outcome Measures for Preterm and Hospitalized Neonates: An ICHOM Standard Set
Authors: Schouten Esther , Haupt Johanna , Ramirez Jessily , Sillett Nick , Nielsen Christina , Clarke Anna , Matkin Lucy , Joseph Andria , Been Jasper , Bolaños González Ilein , Cheong Jeanie , Daly Mandy , Kirpalani Haresh , Mader Silke , Maria Arti , Matijasevich Alicia , Mittal Rashmi , Mutesu-Kapembwa Kunda , Vavouraki Eleni , Webbe James , Wolke Dieter , Zeitlin Jennifer , Flemmer Andreas
Published: May 2022

Introduction: Approximately, one in ten infants is born preterm or requires hospitalization at birth. These complications at birth have long-term consequences that can extend into childhood and adulthood. Timely detection of developmental delay through surveillance could enable tailored support for these babies and their families. However, the possibilities for follow-up are limited, especially in middle- and low-income countries, and the tools to do so are either not available or too expensive. A standardized and core set of outcomes for neonates, with feasible tools for evaluation and follow-up, could result in improving quality, enhance shared decision-making, and enable global benchmarking. Methods: The International Consortium for Health Outcomes Measurement (ICHOM) convened an international working group, which was comprised of 14 health-care professionals (HCP) and 6 patient representatives in the field of neonatal care. An outcome set was developed using a three-round modified Delphi process, and it was endorsed through a patient representative-validation survey and an HCP survey. Results: A literature review revealed 1,076 articles and 26 registries which were screened for meaningful outcomes, patient-reported outcome measures, clinical measures, and case mix variables. This resulted in a neonatal set with 21 core outcomes covering three domains (physical, social, and mental functioning) and 14 tools to assess these outcomes at three timepoints. Discussion: This set can be implemented globally and it will allow comparison of outcomes across different settings and countries. The transparent consensus-driven development process which involved stakeholders and professionals from all over the world ensures global relevance.
Jonas Mekas
Authors: Mourão Patrícia ,   Universidade de São Paulo. Escola  de Comunicações e Artes
Published: May 2022

Este volume 3 da Coleção CINUSP remete ao início da programação de 2013, com a mostra de uma vasta seleção de filmes do cineasta lituano Jonas Mekas, radicado nos Estados Unidos. Jonas Mekas é figura central na história do que se convencionou denominar “cinema underground norte-americano”, além de ter sido roteirista, crítico, curador e um dos principais agitadores culturais de sua época. Este publicação relata a importância do cineasta que subverteu cânones da linguagem do cinema dito comercial ou industrial, em favor de uma abordagem extremamente pessoal e impressionista. Os filmes do diretor tendem a evocar recordações e experiências pessoais, momentos íntimos e da realidade cotidiana, como se fossem impulsionados pela necessidade de cicatrização de questões do passado do próprio cineasta. Esta obra reafirma o compromisso do CINUSP Paulo Emílio com a divulgação e o estudo de cinematografias e autores cujo desconhecimento por grande parte do público é incompatível com sua importância e relevância para o desenvolvimento das artes e técnicas do cinema.
DP1 (Prostaglandin D
2
Receptor 1) Activation Protects Against Vascular Remodeling and Vascular Smooth Muscle Cell Transition to Myofibroblasts in Angiotensin II–Induced Hypertension in Mice
Authors: Zou Fangdi , Li Yong , Zhang Shijie , Zhang Jian
Published: May 2022

Background:

Vascular smooth muscle cell (VSMC) phenotype transition plays an essential role in vascular remodeling. PGD
2
(Prostaglandin D
2
) is involved in cardiovascular inflammation. In this study, we aimed to investigates the role of DP1 (PGD
2
receptor 1) on VSMC phenotype transition in vascular remodeling after Ang II (angiotensin II) infusion in mice.

Methods:

VSMC-specific DP1 knockout mice and DP1
flox/flox
mice were infused with Ang II for 28 days and systolic blood pressure was measured by noninvasive tail-cuff system. The arterial samples were applied to an unbiased proteome analysis. DP1
f/f
Myh11 (myosin heavy chain 11) CREERT2 R26
mTmG/+
mice were generated for VSMC lineage tracing. Multiple genetic and pharmacological approaches were used to investigate DP1-mediated signaling in phenotypic transition of VSMCs in response to Ang II administration.

Results:

DP1 knockout promoted vascular media thickness and increased systolic blood pressure after Ang II infusion by impairing Epac (exchange protein directly activated by cAMP)-1-mediated Rap-1 (Ras-related protein 1) activation. The DP1 agonist facilitated the interaction of myocardin-related transcription factor A and G-actin, which subsequently inhibited the VSMC transition to myofibroblasts through the suppression of RhoA (Ras homolog family member A)/ROCK-1 (Rho associated coiled-coil containing protein kinase 1) activity. Moreover, Epac-1 overexpression by lentivirus blocked the progression of vascular fibrosis in DP1 deficient mice in response to Ang II infusion.

Conclusions:

Our finding revealed a protective role of DP1 in VSMC switch to myofibroblasts by impairing the phosphorylation of MRTF (myocardin-related transcription factor)-A by ROCK-1 through Epac-1/Rap-1/RhoA pathway and thus inhibited the expression of collagen I, fibronectin, ED-A (extra domain A) fibronectin, and vinculin. Thus, DP1 activation has therapeutic potential for vascular fibrosis in hypertension.
Insights From Matched Office and Ambulatory Blood Pressure in Youth: Clinical Relevance
Authors: Lurbe Empar , Redon Josep , Alvarez Julio , Grau-Pérez Maria , Martinez Fernando , Mancia Giuseppe
Published: May 2022

Background:

Information on the relationship between ambulatory blood pressure (ABP) and concurrently office blood pressure (BP) values in youth still suffers from limitations. We provide information on the differences between office BP and ABP, the factors related, and the clinical implications.

Methods:

Three thousand six hundred ninety matched measurements of office BP and ABP on the same day, from 2390 children, aged 5 to 15 years, of both sexes were eligible. Office BP was measured using an oscillometric device (Omron 705 IT) and 24-hour ABP using oscillometric SpaceLabs 90207. Average of office, 24-hour, daytime, nighttime, systolic, and diastolic BP and heart rate was calculated. BP categories according to the European guidelines and phenotype of mismatch office BP versus ABP were defined.

Results:

Both daytime systolic and diastolic BP were higher than office BP with a progressive reduction of the differences from 5 to 15 years. The office minus daytime BP differences were the largest in normotensive subjects, less at high-normal, and reversed in hypertensive ones, independently of age and weight status. White coat and masked hypertension covered no more than 13.6% at all ages.

Conclusions:

In youth, it is inaccurate to obtain reference values for ABP by extrapolating from office BP values. The differences between office BP and ABP are minimal in children with office BP values in the range of hypertension, reinforcing the recommendation to use ABP measurement at the time to confirm hypertension.