bluuebunny/crossref_metadata_2025 huggingface dataset:
[Retracted] Lidocaine Ameliorates Diabetic Peripheral Neuropathy in Streptozotocin‐Induced Diabetic Rats through Modulating the c‐Jun Signaling Pathway
Authors: Luo Jinyu , Wu Dedan , Wu Qianming , Chen Yan , Gan Yong , He Meng , Sun Wenyangming , Ai Yiqin , Su Qiuping , Zou Xiaohua , Wang Dashou
Published: August 2022

As one of the common complications of diabetes mellitus (DM), Diabetic Peripheral Neuropathy (DPN) threatens human lives seriously. Emerging evidences have confirmed the protective effects of lidocaine on DPN. However, the possible role and underlying mechanisms of lidocaine in DPN have not been clarified. In this study, the potential role of lidocaine in DPN is explored, and the possible mechanisms are investigated. The rat DPN model is constructed through administration of streptozotocin (STZ, 60 mg/kg). All rats are randomly divided into four groups, including the control group, DPN group, lidocaine (3.78 mg/time) group, and lidocaine combined with the SP600125 (15 mg/kg) group. Mechanical threshold, thermal latency, and blood glucose of rats before and after treatment are detected, and Nerve Conduction Velocity (NCV) is assessed. Moreover, qRT‐PCR and western blot assays are carried out to determine the expressions of the c‐Jun signaling pathway. The experimental results demonstrate that lidocaine remarkably downregulates the mRNA and protein expressions of the c‐Jun signaling pathway in serum and DRGs induced with DPN. Besides, lidocaine combined with SP600125 can obtain better effects than lidocaine alone. It is clearly evident that lidocaine has a certain therapeutic effect on DPN.
Research on Aircraft Attitude Control Method Based on Linear Active Disturbance Rejection
Authors: Song Zhiguo , Zhao Changjian , Zhang Huiqiang , Dong Tian , Ma Aojia , Yan Dawei
Published: August 2022

In this paper, a dual-loop active disturbance rejection attitude controller design method is proposed for the attitude control of aircraft. Firstly, based on the nonlinear dynamic model of aircraft, the control system model with inner loop as angular velocity and outer loop as attitude angle is established. Secondly, the extended state observer for the inner loop is established to estimate and compensate the state of the system in real time. The controller of the compensated series integral system is designed by using the linear PD control method. Thirdly, the extended state observer and controller for the outer loop are designed by the same method. Finally, the stability proof of the dual-loop attitude control method is given based on the Lyapunov theorem of stability. Simulation results show that compared with the traditional PID attitude control method, the dual-loop ADRC attitude control method has better control quality in tracking speed, tracking error, and system anti-interference ability. The control parameters to be adjusted in this method have distinct physical significance. So this method has a wide range of engineering application prospects.
The Influence of College Sports Services on Sports Behavioral Intentions: A Mediation Model Based on Satisfaction and Involvement
Authors: Zhou Zixiang , Yu Ronghui , Cui Hao , Chen Yinggang , Li Yixiang
Published: August 2022

To learn more about the impact of college sports services on student sports activity intentions, as well as the function of pleasure and involvement as a mediating factor in this process. According to the nature of the service, this study separates college sports services into basic and advanced sports two types, selects 482 students from five institutions in Hunan Province for a questionnaire survey based on spatial dimensions, and analyzes the data using a structural equation model. The findings show that (1) there is a positive correlation between college students’ perception levels of basic and advanced sports services (p = 0.01); (2) perception of basic sports services is closely related to cognize involvement (r = 0.717), and perception of advanced sports services is closely related to affective involvement (r = 0.830); and (3) perception of basic sports services is closely related to cognize involvement (r = 0.717). (3) Satisfaction and involvement show a substantial mediation effect between sports service and sports behavioral intention, with involvement having a bigger influence on sports behavioral intention (effect percent = 52.63%) than satisfaction. (4) Advanced sports services are easier to improve students’ behavioral intentions than basic sports services in a comparison of the two categories of college sports services. To summarize the findings of the four studies, it can be seen that ensuring the balanced development of basic and advanced sports services, adjusting service content to increase student involvement, and improving resource allocation to advanced sports service content are all effective ways to strengthen students’ sports behavioral intention in the service strategy.
A Low Free T3 to Free T4 Ratio Is Associated with Sarcopenia in Euthyroid Patients with Type 2 Diabetes Mellitus
Authors: Wang Kewei , Zhang Di , Cao Guanglei , Wang Chuan , Wang Lingshu , Zhao Ruxing , He Qin , Hou Xinguo , Gong Lei , Chen Li
Published: August 2022

Background. This research evaluated the link between normal thyroid hormone levels and sarcopenia in patients with type 2 diabetes mellitus (T2DM). Methods. This cross-sectional study enrolled 312 euthyroid patients with T2DM from Qilu Hospital of the Shandong University, China. Body composition, grip strength, and physical performance were assessed as per the 2019 consensus guidelines of the Asian Working Group for Sarcopenia. Binary logistic regression was used to examine the correlation between thyroid hormone levels and sarcopenia and its components. Results. The prevalence of sarcopenia was 26.9%. Following adjustments for potential confounders, a high-normal serum free triiodothyronine (FT3) level (odds ratio

OR

=
0.522

, 95% confidence interval (CI): 0.304–0.895,

P
=
0.018

), a low-normal serum free thyroxine (FT4) level (

OR
=
1.126

, 95% CI: 1.009–1.258,

P
=
0.034

), and a heightened FT3/FT4 ratio (

OR
=
0.923

, 95% CI: 0.879–0.969,

P
=
0.001

) were linked to a low prevalence of sarcopenia. Considering the components of sarcopenia, FT3 concentration was positively associated with muscle strength (

OR
=
0.525

, 95% CI: 0.305–0.902,

P
=
0.020

) and physical performance (

OR
=
0.443

, 95% CI: 0.259–0.758,

P
=
0.003

), while FT4 concentration was negatively linked to muscle mass (

OR
=
1.114

, 95% CI: 1.009–1.232,

P
=
0.036

). The FT3/FT4 ratio was positively linked to muscle mass (

OR
=
0.943

, 95% CI: 0.905–0.981,

P
=
0.006

), muscle strength (

OR
=
0.945

, 95% CI: 0.901–0.992,

P
=
0.021

), and physical performance (

OR
=
0.934

, 95% CI: 0.894–0.975,

P
=
0.002

). Nevertheless, thyroid-stimulating hormone concentration was not associated with sarcopenia. Conclusion. A high FT3/FT4 ratio was significantly linked to a lowered risk of sarcopenia in euthyroid patients with T2DM.
Polysaccharides from Rhizoma Atractylodis Macrocephalae: A Review on Their Extraction, Purification, Structure, and Bioactivities
Authors: Luo Lei , Cai Jin , Zhou Zhang , Tang Wenqian , Xue Juan , Liu Jinxin , Hu Hongfei , Yang Fan
Published: August 2022

Rhizoma Atractylodes macrocephala polysaccharide (RAMP), the main bioactive compound extracted from Rhizoma Atractylodes macrocephala (RAM), exhibits various biological activities in in vivo and in vitro methods, such as anti-inflammatory, antioxidant, antitumor, immunomodulatory, hepatoprotective effects, and other functions. This review systematically summarizes the recent research progress on the extraction, purification, structural characteristics, and biological activities of RAMP. We hope to provide a theoretical basis for further research on the application of RAMP in the fields of biomedicine and food.
Design of Financial Information Management System and IoT Application Based on Fuzzy Comprehensive Evaluation
Authors: Liu Yu
Published: August 2022

In light of the current financial information management system’s poor performance, this paper proposes a design method for a financial information management system based on fuzzy comprehensive evaluation, which improves the system’s operation performance by improving the system hardware structure setting and improving the system software function combined with the principle of fuzzy comprehensive evaluation. Finally, the experiment demonstrates that the financial information management system based on fuzzy comprehensive evaluation has a high practicability in the process of practical application, allowing it to effectively avoid financial management risk while also improving financial information management quality.
Effects of Economic Policy Uncertainty on the Investment Behavior of Venture Capital Institutions: Evidence from China
Authors: Yi Shiwei , Liao Yifan , Zhang Qiang
Published: August 2022

Venture capital (VC) has played an important financial supplementary role in the development of high‐tech enterprises. With the intensification of economic policy uncertainty, VC investment behavior has been affected to a certain extent. Under the framework of the impact of economic policy uncertainty (EPU) on general corporate investment behavior, this article examines the impact of EPU on the investment behavior of VC institutions from four aspects, namely, investment quantity, investment phase, investment industry, and investment region. The study finds that in China, EPU has a good news effect, and its intensification can boost the investment quantity of VC institutions and stimulate institutions to choose more specialized investment strategies in terms of investment phase, investment industry, and investment region. The impact of EPU on the investment behavior of VC institutions changes with the investment state of the institutions. The larger the investment quantity of the VC institutions, the greater the promotion effect. VC institutions with a higher degree of investment concentration will pay more attention to specialized investment strategies.
Analysis on the Development Strategy of Computer Education Microcourse Resources Based on a Cognitive Diagnosis Method
Authors: Yang Zhe
Published: August 2022

With the continuous deepening of the new curriculum reform, in order to meet the needs of high-efficiency and high-quality teaching, colleges and universities have carried out continuous reforms and innovations in teaching forms and methods. Microcourse is one of the main innovative forms of curriculum development in colleges at this stage, and it has a great role in promoting the quality of courses and the realization of teaching goals. At the same time, as a new discipline, computer science has its own unique properties. In addition, the traditional cognitive diagnosis model ignores the connection between knowledge points in most cases, and the use of this information is insufficient, resulting in that the traditional model cannot be reasonably applied in some practical teaching scenarios. Under the background of the continuous development of modern curriculum and the continuous innovation of educational methods, cognitive diagnosis, as an important research in educational data mining, plays a pivotal role in student evaluation. Based on this, this paper mainly takes the teaching of computer courses as an example. While introducing the current situation of teaching activities, it studies the specific strategies of microlectures in computer courses, so as to better utilize the advantages of microlectures.
Development and Evaluation of a Pillow to Prevent Snoring Using the Cervical Spine Recurve Method
Authors: Ahn Dohyun , Choi Hyeunwoo , Lee Jongmin , Heo Sung-Phil
Published: August 2022

Snoring lowers the quality of sleep, causing many secondary diseases. In response, various types of preventive devices were manufactured, but most of them were far from actual snoring prevention by only sensing snoring and giving feedback. In this study, we proposed a new method to prevent snoring by adjusting the posture during sleep by widening the oropharynx space. An increase in the oropharynx area was confirmed through the expansion of the cervical spine, and a dedicated pillow that can extend through an angle of up to 20° was manufactured. Through this developed method, it was possible to easily extend the cervical spine angle in a supine position to the user, and the frequency of snoring was then tested. As a result, it was confirmed that by using the pillow with an expansion angle of 20° or more, snoring did not occur. Furthermore, looking at the evaluation results of the subjective levels of satisfaction, sleep-related items received an average of 5.9 or higher, and function-related items received high scores with an average of 5.7. We can confirm that the reliability of performance evaluation will be dramatically improved if the scope of the subject group is expanded to include various body types, ages, and genders and conduct performance evaluations for each group.
Alzheimer’s Amyloid-β Accelerates Cell Senescence and Suppresses the SIRT1/NRF2 Pathway in Human Microglial Cells
Authors: An Yuqian , Li Yi , Hou Yujun , Huang Shichao , Pei Gang
Published: August 2022

Microglia play important roles in maintenance of brain homeostasis, while due to some pathological stimuli in aging-related neurodegenerative diseases including Alzheimer’s disease, they are malfunctioning. Here, we demonstrated that amyloid-β (Aβ) accelerated cell senescence characterized by the upregulation of p21 and PAI-1 as well as senescence-associated beta-galactosidase (SA-β-gal) in human microglial cells. Consistently, Aβ induced the senescence-associated mitochondrial dysfunctions such as repression of ATP production, oxygen consumption rate (OCR), and mitochondrial membrane potential and enhancement of ROS production. Furthermore, Aβ was found to significantly suppress mRNA expression and protein level of Sirtuin-1 (SIRT1), a key regulator of senescence, and inhibit mRNA expression and translocation of NRF2, a critical transcription factor in inflammatory responses, leading to impairment of phagocytosis. Rescue of SIRT1, as expected, could counteract the pathological effects of Aβ. In summary, our findings revealed that Aβ accelerates human microglial senescence mainly through its suppression of the SIRT1/NRF2 pathway and suggested that genetic and pharmaceutical rescue of SIRT1 may provide a potential alternative treatment.
An Immune‐Related lncRNA Pairing Model for Predicting the Prognosis and Immune‐Infiltrating Cell Condition in Human Ovarian Cancer
Authors: Zhang Xiaocui , Yang Qing
Published: August 2022

Ovarian cancer is the second common cancer among the gynecological tumors. It is difficult to be found and diagnosed in the early stage and easy to relapse due to chemoresistance and deficiency in choices of treatment. Therefore, future exploring the biomarkers for diagnosis, treatment, and prognosis prediction of ovarian cancer is significant to women in the world. We downloaded data from TCGA and GTEx and used R “limma” package for analyzing the differentially expressed immune‐related lncRNA in ovarian cancer and finally got 7 downregulated and 171 upregulated lncRNA. Then, we paired the differentially expressed immune‐related lncRNA and constructed a novel lncRNA pairing model containing 7 lncRNA pairs. Based on the cut‐off point with the highest AUC value, 102 patients were selected in high‐risk group and 272 in low‐risk group. The KM analysis suggested that the patients in the low‐risk group had a longer overall survival. Future analysis showed the correlations between risk scores and clinicopathological parameters and infiltrating immune cells. In conclusion, we identified an immune‐related lncRNA pairing model for predicting the prognosis and immune‐infiltrating cell condition in human ovarian cancer, which thus further can instruct immunotherapy.
Risk-Based Access Control Mechanism for Internet of Vehicles Using Artificial Intelligence
Authors: Priscila S. Silvia , Sharma Abhishek , Vanithamani S. , Ahmad Faiyaz , Mahaveerakannan R. , Alrubaie Ali Jawad , Jagota Vishal , Singh Bhupesh Kumar
Published: August 2022

Internet of Vehicles (IoV) systems are vulnerable to a wide range of attacks because of the lack of security measures. IoV systems can be infiltrated by malicious and unauthorized nodes, which can cause the authenticity, accessibility, and privacy of shared information resources to be compromised. Indeed, the use of an access control system can help; as a result, it is unable to respond to such attacks on time. This paper introduces an artificial intelligence-enabled access control mechanism (AI-ACM) with vehicle nodes and roadside units (RSUs) to overcome these issues. Here, use vehicle nodes as lightweight nodes, while RSUs act as comprehensive and edge nodes to provide access control service. A generative adversarial network (GAN) is used in place of risk prediction (RP) due to the lack of training sets, resulting in a sequence generation rather than an accurate risk prediction. Afterward, the blockchain-based Internet of Vehicles (BIoV) approach is summarized for the security mechanisms of vehicles that are discussed from the aspects of access control and authentication to sustain the distributed processing architecture and solve security issues. The simulation results show that AI-ACM is more accurate than the previous GANs at predicting the future. In addition, the RP model’s access control accuracy can be improved as a result of this technique.
Therapeutic Effect of Melatonin in Premature Ovarian Insufficiency: Hippo Pathway Is Involved
Authors: Qi Ming Kang , Sun Tie Cheng , Yang Li Ya , He Jia Lin , Guo Yi Ming , Wang Han Bi , Wang Hui Ping
Published: August 2022

Objective. Premature ovarian insufficiency (POI) is a female reproductive disorder of unknown etiology with no definite pathogenesis. Melatonin (MT) is an endogenous hormone synthesized mainly by pineal cells and has strong endogenous effects in regulating ovarian function. To systematically explore the pharmacological mechanism of MT on POI therapy, a literature review approach was conducted at the signaling pathways level. Methods. Relevant literatures were searched and downloaded from databases, including PubMed and China National Knowledge Infrastructure, using the keywords “premature ovarian insufficiency,” “Hippo signaling pathways,” and “melatonin.” The search criteria were from 2010 to 2022. Text mining was also performed. Results. MT is involved in the regulation of Hippo signaling pathway in a variety of modes and has been correlated with ovarian function. Conclusions. The purpose of this review is to summarize the research progress of Hippo signaling pathways and significance of MT in POI, the potential crosstalk between MT and Hippo signaling pathways, and the prospective therapy.
A Multimodal Model for College English Teaching Using Text and Image Feature Extraction
Authors: Zhao Dan , Liu Yafang
Published: August 2022

The rapid development of the internet and multimedia technology in recent years has continued to push foreign language education in the direction of modern education. Multimodal education is becoming more and more important in the field of English education as an advanced educational concept in the field of language education. As a result, many English teachers have begun to emphasize the use of multimodal teaching theory in their classrooms. This paper investigates a multimodal model that incorporates text and image features, based on multimodal discourse theory, systemic functional linguistics theory, and foreign language teaching theory. This paper develops a multimodal model that can search for images and texts from various perspectives. We use an image feature bias term in the log-bilinear natural language model to influence the probability of predicting the next word based on the context, resulting in a multimodal model. The experimental results show that the proposed model, as an image-text relationship evaluation index system, has a slower search speed than other models but better search accuracy.
[Retracted] Effect of Dihuang Yinzi on Inflammatory Response in Cerebral Ischemia‐Reperfusion Model Rats by Regulating Gut Microbiota
Authors: Wang Xinyu , Ye Lei , Sun Wanru , Li Liya , Wang Chaoyun , Xu Xiaoyan , Pan Zhaohai , Gong Jianwei
Published: August 2022

Dihuang Yinzi, as a classical Chinese medicine prescription, plays an important role for the treatment of ischemic stroke. Gut microbiota play a functional role for the expression of proinflammatory cytokines and anti‐inflammatory cytokines, which further affect central nervous system and change brain function. Our research confirmed that Dihuang Yinzi can exert brain protection by inhibiting inflammatory reaction. Dihuang Yinzi can significantly decrease the contents of interleukin‐6 (IL‐6), tumor necrosis factor‐α (TNF‐α), and interleukin‐17 (IL‐17) in brain, serum, and colon tissues and increase the contents of transforming growth factor‐β (TGF‐β) and interleukin‐10 (IL‐10) in cerebral ischemia‐reperfusion model rats. The results of 16s rRNA high‐throughput sequencing showed that Dihuang Yinzi had a significant effect on microbiome in rats. The firmicutes, bacteroidetes, and proteobacteria were dominant in Dihuang Yinzi group. The content of firmicutes increased with the increase of dosage of Dihuang Yinzi. Especially, the content of actinomycetes in the high‐dose group was higher than other groups. At the genus level, the number of bacteroides in the antibiotic groups was significantly higher than that in the other treatment groups. The results suggest that Dihuang Yinzi may play important roles in treatment of ischemic stroke by regulating the gut microbiota and the inflammatory reaction in the colon tissues, serum, and brain of the model rats, to verify the scientific nature of this prescription in relieving brain inflammatory reaction and brain injury by this way and to reveal the brain‐gut related mechanism of Dihuang Yinzi in treating ischemic stroke.
Carnitine Deficiency after Long-Term Continuous Renal Replacement Therapy
Authors: Van de Wyngaert Caroline , Dewulf Joseph P. , Collienne Christine , Laterre Pierre-François , Hantson Philippe
Published: August 2022

A 60-year-old man was admitted in the intensive care unit (ICU) for a rapidly progressive respiratory failure due to SARS-CoV-2 infection. He developed numerous complications including acute kidney injury (AKI) requiring prolonged continuous renal replacement therapy (CRRT). Enteral feeding was initiated on day 8. Despite nutritional management, there was a remarkable amyotrophy and weight loss. On day 85 in the ICU, the patient became progressively unresponsive. An extensive metabolic workup was performed, and blood results showed hyperammoniemia and hypertriglyceridemia. Plasma free carnitine level was low, as was also copper. After carnitine supplementation, the neurological condition rapidly improved, and metabolic perturbations regressed. Prolonged CRRT may be complicated by clinically significant deficiency in micronutrients and trace elements.
Chemical Characteristics of Coil Heavy Metal Elements and Ecological Security Risks Caused by Fertilization
Authors: Ma Yanfeng , Hao Qingsheng , Zhong Ailin
Published: August 2022

In order to investigate the effects of fertilization on soil chemical characteristics and ecological security, the chemical characteristics and ecological security risk analysis of heavy metal elements in a certain soil caused by fertilization were proposed. The contents of Ni, V, Cr, As, Cd, Pb, Zn, and Hg in 1,065 surface soil samples collected in a district of a city in the southwest agricultural area were tested and analyzed. Multivariate statistical analysis and spatial analysis were used to clarify the geochemical distribution characteristics of these heavy metals, and the possible main sources were also discussed. The results showed that the eight heavy metals could be divided into three categories. The first category included Ni, V, Cr, and As, whose content was lower than the background value in Beijing. And the distribution was mainly affected by natural factors such as parent materials of soil formation. The second category included Cd, Pb, and Zn, whose average content was higher than the background value. And the content was the highest in residential areas. In addition to the parent material inherited from the soil, the distribution characteristics of these elements were greatly affected by human activities. And Cd was significantly more affected by human activities than Pb and Zn. The third category included Hg, and it was inferred that atmospheric deposition was the main factor affecting the distribution of Hg. It was concluded that the Hakanson method was used to evaluate the ecological risk of heavy metals in soil, and the results showed that the potential ecological risk index was low in the area.
A Robust Controller Design for Load Frequency Control in Islanded Microgrid Clusters
Authors: Ghodsi Mohammad Reza , Tavakoli Alireza , Samanfar Amin
Published: August 2022

In this paper, virtual inertia control (VIC) is suggested to increase the frequency stability in islanded microgrid (MG) clusters. The aim of the suggested control method is to improve damping characteristic of MG clusters including different distributed generations (DGs). The optimal/robust values of the VIC parameters are tuned by a μ-synthesis robust control method. The proposed robust/optimal VIC-based control method is confirmed by various scenarios. Computer simulation and hardware-in-the-loop (HIL) tests are used to show the effectiveness of the suggested method in increasing the damping of the power system. Clearly, different characteristics of the dynamic responses and the results show the practicality of the suggested robust VIC.
Construction of Heritage Digital Resource Platform Based on Digital Twin Technology
Authors: Jia Haomei , Yan Jing
Published: August 2022

In order to preserve and inherit material cultural heritage, the author proposes a method for digital construction of the Great Wall’s cultural heritage based on digital twin. This method discusses the connotation of the whole life cycle of the Great Wall digital twin, proposes the research path and content of the digital twin construction of the Great Wall cultural heritage, and conducts the application of the Great Wall digital twin to evaluate the application effect. The evaluation results show that users’ overall satisfaction with Great Wall’s digital twin application is relatively high, and the average score of each indicator is above 4, and the functional experience is slightly poor. Conclusion. This method can provide full life cycle visualization services for the digital archiving, application, and decision-making of the Great Wall cultural heritage and provide theoretical and methodological references for the preservation and inheritance of material cultural heritage.
The Curriculum Knowledge Analysis of Marxist Philosophy and System Theory Based on Association Rules
Authors: Pan Yingli
Published: August 2022

Systems theory and Marxist philosophy are inextricably linked. Systems theory and Marxist philosophy are both methodologies in a sense and share the perspective of movement and development. The system theory is also embodied in the Marxist philosophy’s conceptions of nature, social history, and epistemology. Studying the system theory in Marxist philosophy will undoubtedly benefit from having a solid understanding of the connection between system theory and that philosophy. It has become crucial to enhance the quality of instruction by analyzing student learning data and providing constructive criticism for teaching methods. The students’ learning data from the course teaching Marxist philosophy and systems theory were mined and analyzed based on the Apriori algorithm, and strong association rules between the course teaching contents were generated. We can determine the challenging teaching material that has an impact on students’ performance through the analysis of these generation rules, enabling teachers to use this feedback information to enhance their pedagogical approaches.
Gait Recognition Using Spatio-Temporal Information of 3D Point Cloud via Millimeter Wave Radar
Authors: Li Tao , Zhao Zhichao , Luo Yi , Ruan Benkun , Peng Dawei , Cheng Lei , Shi Chenqi
Published: August 2022

Gait recognition is one of the crucial methods in identity recognition, which has a wide range of applications in many fields, such as smart home, smart office, and health monitoring. The camera is the most mainstream traditional solution. But the camera is difficult to maintain stable performance in the dark, low light, and bad weather conditions. In addition, privacy leakage is also one of the important issues that people worry about. In contrast, as the latest research progress in gait recognition, millimeter wave radar can not only protect people’s privacy, but also maintain normal perception performance in dark conditions. In this paper, we propose a system for gait recognition named MTPGait using spatio-temporal information via millimeter wave radar. We specially design a neural network that can extract multiscale spatio-temporal features along space and time dimensions of 3D point cloud concisely and efficiently. We use LSTM to design the context flow of local and global time and space, fusing local and global spatio-temporal features. In addition, we construct and release a millimeter wave radar 3D point cloud data set, which consists of 960-minute gait data of 40 volunteers. Using the data set, we evaluate the system and compare it with four state-of-the-art algorithms. The experimental results show that MTPGait is able to achieve 96.7% recognition accuracy in a single-person scene on fixed route and 90.2% recognition accuracy when two people coexist, while none of the existing methods is more than 90% recognition accuracy in either scenario.
The Teaching Effect of Two-Course Education Based on Online and Offline Integrated Teaching and In-Depth Learning Optimization
Authors: Li Honglan , Zhang Haiyang , Xu Jan
Published: August 2022

Modern technology has been successfully applied in various fields. Starting from the educational environment, the teaching platform and offline traditional classroom are imperative. This method has the functional characteristics of informatization and interactivity and one of the courses to cultivate students’ world outlook, values and other good conduct. In the construction of the course teaching mode, learning attitude towards the integration of teaching methods has changed differently. In the above situation, this paper studies the behavior changes and teaching effects of ideological and political students from the conditions and in-depth learning optimization. Firstly, the integrated teaching environment based on student behavior is designed and the mean student behavior data in different environments. After obtaining the behavior characteristics of the students, this paper analyzes the influence of the integrated teaching mode on the scores and other factors. Finally, the face recognition model is constructed by using the deep learning technology to capture and calculate the students’ class and examination status. The improvement of students’ learning quality has obvious effects in improving performance and classroom optimization.
Preservice Training Strategies and Guarantee Mechanisms for Primary and Secondary School Teachers in the Development of Smart Cities by the Internet of Things
Authors: Wang Yuan
Published: August 2022

It aims to perfect the preservice training system and improve the teaching quality of primary schools. The research methods are questionnaire survey and interview, and 154 teachers from 16 primary schools under the background of smart city development are used as the research objects. Questionnaires are distributed to them, and the Internet of Things (IoT) technology is used to analyze the adaptation law of primary school teachers’ preservice training and to conduct in-depth research on teacher education and training strategies according to the relevant curriculum system. The results manifest that the IoT technology can effectively process the questionnaire data. From the perspective of the smart city, more than 70% of art teachers and physical education (PE) teachers know nothing about their professional level, and nearly 40% of music teachers know little about their professional level of teachers. In addition, more than 50% of the teachers surveyed do not have a clear understanding of their own professional standards, teacher training standards, primary school training strategies, and guarantee mechanisms of the teaching effect. It means that teachers in the progress of smart cities should strengthen the training of professional level and education policy during preservice training. After the evaluation and training system is established according to the ratio of “25.4% of primary school students’ growth knowledge +42.7% of professional knowledge +31.9% of teacher education curriculum knowledge”, students’ learning enthusiasm increased by 23%, and their academic performance increased by 15%. This indicates that the training system can ensure the good learning effect of students. Therefore, the research on preservice training strategies and guarantee mechanisms for primary and secondary school teachers in smart cities by the IoT provides a certain direction for subsequent teacher training.
Research on the Use of Open Teaching Mode Based on IoT Applications in College Piano Courses
Authors: Zhang Wanrong
Published: August 2022

The existing piano curriculum education system in colleges has been very backward. With the rapid economic development, it is also necessary to add new teaching technical means to meet the teaching needs of the new era and study the application of open teaching mode in the piano curriculum in colleges. This paper examines the current state of piano instruction in colleges and puts forward some problems, such as the serious lag of teaching mode, the backwardness of curriculum design education, and the failure of evaluation mechanism to keep pace with the times. The design is based on the open teaching mode, designs the piano course in colleges, establishes the open teaching mode, designs the open and inclusive teaching content, improves the piano teaching evaluation mechanism, and obtains a new teaching method of piano course in colleges. In the case analysis, the test results of this teaching mode and traditional teaching mode are compared. The results of the pretest and posttest show that the open teaching mode can greatly improve the teaching performance of piano courses and can be applied to practical teaching.
An Efficient Outlier Detection with Deep Learning-Based Financial Crisis Prediction Model in Big Data Environment
Authors: Venkateswarlu Yalla , Baskar K. , Wongchai Anupong , Gauri Shankar Venkatesh , Paolo Martel Carranza Christian , Gonzáles José Luis Arias , Murali Dharan A. R.
Published: August 2022

As Big Data, Internet of Things (IoT), cloud computing (CC), and other ideas and technologies are combined for social interactions. Big data technologies improve the treatment of financial data for businesses. At present, an effective tool can be used to forecast the financial failures and crises of small and medium-sized enterprises. Financial crisis prediction (FCP) plays a major role in the country’s economic phenomenon. Accurate forecasting of the number and probability of failure is an indication of the development and strength of national economies. Normally, distinct approaches are planned for an effective FCP. Conversely, classifier efficiency and predictive accuracy and data legality could not be optimal for practical application. In this view, this study develops an oppositional ant lion optimizer-based feature selection with a machine learning-enabled classification (OALOFS-MLC) model for FCP in a big data environment. For big data management in the financial sector, the Hadoop MapReduce tool is used. In addition, the presented OALOFS-MLC model designs a new OALOFS algorithm to choose an optimal subset of features which helps to achieve improved classification results. In addition, the deep random vector functional links network (DRVFLN) model is used to perform the grading process. Experimental validation of the OALOFS-MLC approach was conducted using a baseline dataset and the results demonstrated the supremacy of the OALOFS-MLC algorithm over recent approaches.
The Simplified Analytical Algorithm to the Time Effect of the Simple-Supported Steel and Concrete Composite Beam
Authors: Yao Kai-cheng , Zhou Dong-hua , He Yingcheng , Wu Shilong
Published: August 2022

Based on Rusch’s creep constitutive relation, differential equations for the redistribution of shrinkage internal force and creep of the composite beam are derived and solved. The closed solution is cumbersome and is inconvenient to be applied practically. It is hard to solve the accurate solution for coupled differential equations. Therefore, a simplified approach is given. However, it ignores the influence of the redistribution of bending moment of the concrete slab on the axial strain and removes the coupling relationship of differential equations so that it makes the solution become convenient. The comparison of the results calculated by the two approaches shows that their calculated errors are small, within 3%, when the stiffness ratio of the concrete slab and the steel beam are less than 0.185. It also shows that the greater the stiffness of the steel beam, the greater the constraint on the creep of the concrete slab, so is the redistribution of internal force.
[Retracted] Meta‐Analysis of the Comprehensive Efficacy of Intraocular Lens Implantation in Glaucoma Patients
Authors: Zhou Qingyi
Published: August 2022

This study is aimed at investigating the efficacy of intraocular lens (IOL) implantation in patients suffering from glaucoma through meta‐analysis of the previously published research. For this purpose, different literature databases were searched for identification of clinical studies published between January 2000 and January 2022 on evaluating IOL’s efficacy in treating glaucoma. RevMan 5.3 was used to conduct a meta‐analysis of the pertinent data. The central anterior chamber depth (ACD), corneal endothelial cell counts, best‐corrected visual acuity (BCVA), intraocular pressure (IOP), anti‐glaucoma medications (AGM), and axial length (AL) changes were compared, and the incidence of postoperative complications was thoroughly evaluated. The Cochran chi‐square test was used to examine the heterogeneity of the evaluation results. According to the inclusion and exclusion criteria, 20 studies included 948 glaucomatous eyes. IOP was significantly lower than before treatment (MD = 8.64, 95 CI: 5.75‐11.53; Z = 5.86, P < 0.0001), while ACD increased significantly (MD = −1.38, 95 percent CI: ‐1.74‐1.02; Z = 7.49, P < 0.0001). The corneal endothelial cell counts were homogeneous (MD = 225.08, 95% CI: ‐64.17 to ‐514.33; Z = 1.53, P = 0.20). AGM utilisation decreased (MD = 1.43, 95% CI: 0.752.12, Z = 4.09, P < 0.0001). AL decreased significantly (MD = 0.31; 95% CI: 0.09‐0.54; Z = 2.71; P = 0.007). The incidence of complications remained insignificant after IOL treatment (OR = 1.05, 95% CI: 0.42 to 2.60; Z = 0.10, P = 0.92; P = 0.92). These findings indicate that IOL treatment can significantly reduce intraocular pressure, glaucoma drug use, and aqueous level (AL) in glaucoma patients while increasing the depth of the central anterior chamber. This study offers a theoretical foundation for selecting glaucoma treatment methods.
Integrating Transcriptomics and Free Fatty Acid Profiling Analysis Reveal Cu Induces Shortened Lifespan and Increased Fat Accumulation and Oxidative Damage in C. elegans
Authors: Zhang Ying , Zhou Qian , Lu Lu , Zhao Chao , Zhang Hu , Liu Ran , Pu Yuepu , Yin Lihong
Published: August 2022

Nowadays, human beings are exposed to Cu in varieties of environmental mediums, resulting in health risks needing urgent attention. Our research found that Cu shortened lifespan and induced aging-related phenotypes of Caenorhabditis elegans (C. elegans). Transcriptomics data showed differential expression genes induced by Cu were mainly involved in regulation of metabolism and longevity, especially in fatty acid metabolism. Quantitative detection of free fatty acid by GC/MS further found that Cu upregulated free fatty acids of C. elegans. A mechanism study confirmed that Cu promoted the fat accumulation in nematodes, which was owing to disorder of fatty acid desaturase and CoA synthetase, endoplasmic reticulum unfolded protein response (UPRER), mitochondrial membrane potential, and unfolded protein response (UPRmt). In addition, Cu activated oxidative stress and prevented DAF-16 translocating into nuclear with a concomitant reduction in the expression of environmental stress-related genes. Taken together, the research suggested that Cu promoted aging and induced fat deposition and oxidative damage.
Association of β-Catenin, APC, SMAD3/4, Tp53, and Cyclin D1 Genes in Colorectal Cancer: A Systematic Review and Meta-Analysis
Authors: Yan Hongfeng , Jiang Fuquan , Yang Jianwu
Published: August 2022

Objectives. Accumulating evidence indicates that the expression and/or variants of several genes play an essential role in the progress of colorectal cancer (CRC). The current study is a meta-analysis undertaken to estimate the prognosis and survival associated with CTNNB1/β-catenin, APC, Wnt, SMAD3/4, TP53, and Cyclin D1 genes among CRC patients. Methods. The authors searched PubMed, EMBASE, and Science Direct for relevant reports published between 2000 and 2020 and analyzed them to determine any relationship between the (immunohistochemically/sequencing-detected) gene expression and variants of the selected genes and the survival of CRC patients. Results. The analysis included 34,074 patients from 64 studies. To evaluate association, hazard ratios (HRs) were estimated for overall survival (OS) or disease-free survival (DFS), with a 95% confidence interval (CIs). Pooled results showed that β-catenin overexpression, APC mutation, SMAD-3 or 4 loss of expression, TP53 mutations, and Cyclin D1 expression were associated with shorter OS. β-Catenin overexpression (HR: 0.137 (95% CI: 0.131–0.406)), loss of expression of SMAD3 or 4 (HR: 0.449 (95% CI: 0.146–0.753)), the mutations of TP53 (HR: 0.179 (95% CI: 0.126–0.485)), and Cyclin D1 expression (HR: 0.485 (95% CI: 0.772–0.198)) also presented risk for shorter DFS. Conclusions. The present meta-analysis indicates that overexpression or underexpression and variants of CTNNB1/β-catenin, APC, SMAD3/4, TP53, and Cyclin D1 genes potentially acted as unfavorable biomarkers for the prognosis of CRC. The Wnt gene was not associated with prognosis.
A Novel Data-Driven Method for Medium-Term Power Consumption Forecasting Based on Transformer-LightGBM
Authors: Yang Guang , Du Songhuai , Duan Qingling , Su Juan
Published: August 2022

With the widespread use of new energy sources and Internet of things, the power market landscape has become complex. In particular, new energy is more stochastic and volatile; it is prone to the problems of inaccurate forecasting on longer time scales, affecting electricity trading. This study proposes a new method for predicting medium-term load series data based on the transformer-lightGBM. The method first preprocesses electricity market data, including missing value processing, outlier processing, overall analysis, and correlation analysis, to extract features with a strong correlation to medium-term electricity consumption forecasts. Then, a transformer neural network is used to learn the complex patterns and dynamic time scales of the load series data to predict the day-ahead market series. Finally, lightGBM is used to combine power characteristics and time characteristics to forecast power consumption. The effectiveness of the proposed method is proved using the ISO-NE dataset. Experimental results indicate that the present method verified more accurate prediction than LSTM-based methods.
Evaluation of Competitive Performance Ability of Basketball Players Based on Hybrid Model
Authors: Li Lin , Zhang Wei
Published: August 2022

Competitive performance ability is the on-the-spot performance of basketball players’ comprehensive use of technical and tactical, physical, and psychological abilities. Because basketball players’ competitive performance includes many evaluation contents and influencing factors, it is difficult to comprehensively and objectively use a single qualitative analysis or quantitative statistics for evaluation and measurement. Based on the analytic hierarchy process (AHP) and intelligent fuzzy comprehensive evaluation, this research establishes a hybrid model, which is applied to evaluate the performance of basketball players. Based on the actual needs, this research uses the relevant theories in the discipline of sports training, with abundant empirical data materials, combined with the specific practice of basketball players’ training and competition, starting from the concept of clear sports intelligence, to further determine the indicators of the basketball players’ sports intelligence evaluation system and weights, construct a set of evaluation system about basketball players, and use this as a standard to evaluate and judge the current situation of basketball players’ sports intelligence.
Fingolimod Nanoemulsions at Different Particle Sizes Define the Fate of Spinal Cord Injury Recovery
Authors: Poormoghadam Delaram , Shiadeh Bita Rasoulian , Azedi Fereshte , Tavakol Hani , Rezayat Seyed Mahdi , Tavakol Shima
Published: August 2022

Spinal cord injury (SCI) is a debilitating condition for which no definitive treatment has yet been identified. Notably, it influences other tissues through inflammatory reactions and metabolic disturbances. Therefore, fingolimod (FTY‐720), as an FDA‐approved inflammatory modulator, would be promising. In the present study, nanocarriers with two distinct monodisperse particle sizes of 60 (nF60) and 190 (nF190) nm were prepared via low‐(stirring) and high‐energy (probe ultrasound) emulsion oil in water (O/W) methods. Larger nanocarriers showed higher EE% and sustained‐release profile than smaller nanocarriers. Neural stem cell (NSC) viability and lactate dehydrogenase (LDH) release were studied in the presence of nanocarriers and free FTY‐720. The results indicated that nanocarriers and free FTY‐720 enhanced NSC viability compared with the control group. However, nF190 induced significantly less cell membrane damage than nF60. Nanocarriers and free FTY‐720 enhanced motor neuron recovery in SCI rats, while body weight and return to bladder reflux by nF190 were significantly higher than those in the nF60 group. Return to bladder reflux might be due to the role of FTY‐720 in the regulation of detrusor muscle tone and preservation of the integrity of vessels by acting on endothelial cells. Moreover, nF190 gained higher soleus muscle weight than the free drugs; probably decreasing proinflammatory cytokines in the soleus diminishes muscular atrophy in SCI rats. In summary, it might be said that larger nanocarriers with sustained‐release profile and less cell membrane damage seem to be more efficient than smaller ones to manage SCI and enhance bladder reflux. These data will help pharmaceutical companies select the correct particle size for nanodrugs and develop more efficient drug formulations to treat SCI.