syedzayyan/paper_mill_benchmark huggingface dataset:
Biomechanics and Neuromuscular Control Training in Table Tennis Training Based on Big Data

Thinking of big data as a collection of huge and sophisticated data sets, it is hard to process it effectively with current data management tools and processing methods.Big data is reflected in that the scale of data exceeds the scope of traditional volume measurement, and it is difficult to collect, store, manage, and analyze through traditional methods.Analyzing the biomechanics of table tennis training through big data is conducive to improving the training effect of table tennis, so as to formulate corresponding neuromuscular control training.This paper mainly analyzes various indicators in biomechanics and kinematics in table tennis training under big data.Under these metrics, an improved decision tree method was then used to analyze the differences between athletes trained for neuromuscular control and those who did not.It analyzed the effect of neuromuscular control training on the human body through different experimental control groups.Experiments showed that after nonathletes undergo neuromuscular control training, the standard rate of table tennis hitting action increases by 10% to 20%, reaching 80%.The improvement of athletes is not very obvious.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Research Article;
Beyond the Psychopathological Approach to Study the Relationship between Body Dissatisfaction and Suicide: A Moderate and Mediated Analysis

This paper provides a comprehensive review of the literature to date on body dissatisfaction and suicide.A moderate and mediated regression analysis suggests that the relationship between these two variables is mediated by depression, anxiety, impulse control, self‐esteem, and hopelessness.The relationship is not moderated by gender, ethnicity, or socioeconomic status.The implications for mental health practitioners are discussed in relation to management strategies for body dissatisfaction and suicide risk.Another finding showed that psychological distress had a significant effect on performance achievement and served as a mediating variable for the effect of social justice on performance achievement.This study only focused on the effect of psychological distress on the performance achievement of human resources in the context of islamic microfinance institutions.Besides, in explaining the model, this study only focused on one point of view of the grand theory, i.e., social exchange theory.This study provided information on alternative strategies in managing and minimizing the risks of psychological distress to improve performance achievement in islamic microfinance institutions.Apart from that, this study also provided an overview of how to manage social exchange relationships in the context of an organization, so they could be well‐maintained.This study examined the effect of psychological distress on the performance achievement of human resources in the context of islamic microfinance institutions.This study also specifically examined the role of formal justice and social justice as an antecedent of psychological distress.Eventually, this study used the perspective of social exchange theory for the first time in explaining the psychological distress model on the performance achievement of human resources.

Journal: BioMed Research International (2022)
Publication types: Review Article;
Behavioral Training of High-Functioning Autistic Children by Music Education of Occupational Therapy

Autistic children, also known as “children from the stars”, have been discovered for more than half a century, but there is still no unified conclusion on the diagnosis, causes, manifestations, and education of autism.The current theory and practice suggest that there is a need to improve the treatment and education of these children.According to existing theories and practices, most autistic children show a special interest in music, and music is very effective in the treatment of autistic children, and through musical activities, children with autism can improve their language, social and emotional, cognitive, and sensorimotor development.In this paper, we record and observe the music classes of children with autism.We select two classes with a total of seven children with autism as the observation subjects in the music classes, record the changes in various aspects and behavioral performance of these seven children with autism in the music activities, and analyze and summarize them.The main purpose of this study is to analyze and summarize how the three major music teaching methods are implemented in the music classroom for autistic children and how they can help autistic children with different characteristics.In the end, we summarize the main problems of music teaching for autistic children found in practice and try to make some suggestions, hoping to provide reference for scholars who study music education for autistic children.The music teaching activities were effective in improving the children’s joint attention, movement imitation, rhythm imitation, and cooperation ability, and all three children improved to varying degrees, fulfilling the goals of the teaching activities.The behavioral analysis of the three children during the teaching activities showed that the three children improved their ability to sit comfortably, awareness, musical ability, and rule awareness and reduced inappropriate behaviors and bad emotions, which proved that music education could improve the social and cognitive skills of the children.

Journal: Occupational Therapy International (2022)
Publication types: Research Article;
Applying Blockchain Technology in Network Public Opinion Risk Management System in Big Data Environment

Network public opinion represents public social opinion to a certain extent and has an important impact on formulating national policies and judgment.Therefore, china and other countries attach great importance to the study of online public opinion.However, the current researches lack the combination of theory and practical cases and lack the intersection of social and natural sciences.This work aims to overcome the technical defects of traditional management systems, break through the difficulties and pain points of existing network public opinion risk management, and improve the efficiency of network public opinion risk management.Firstly, a network public opinion isolation strategy based on the infectious disease propagation model is proposed, and the optimal control theory is used to realize a functional control model to maximize social utility.Secondly, blockchain technology is used to build a network public opinion risk management system.The system is used to conduct a detailed study on identifying and perceiving online public opinion risk.Finally, a chinese word segmentation scheme based on long short‐term memory (lstm) network model and a text emotion recognition scheme based on a convolutional neural network are proposed.Both schemes are validated on a typical corpus.The results show that when the system has a control strategy, the number of susceptible drops significantly.Two days after the public opinion is generated, the number of susceptible people decreased from 1,000 to 250; 3 days after the public opinion is generated, the number of susceptible people stabilized.2 days after the public opinion is generated, the number of lurkers increased from 100 to 620; 3 days after the public opinion is generated, the number of lurkers stabilized.The data demonstrate that the designed isolation control strategy is effective.Changes in public opinion among infected people show that quarantine control strategies played a significant role in the early days of corona virus disease 2019.The rate of change in the number of infections is more affected when quarantine controls are increased, especially in the days leading up to the outbreak.When the system adopts the optimal control strategy, the influence scope of public opinion becomes smaller, and the control becomes easier.When the dimension of the word vector of emergent events is 200, its accuracy may be higher.This method provides certain ideas for blockchain and deep learning technology in network public opinion control.

Journal: Computational Intelligence and Neuroscience (2023)
Publication types: Research Article;
Application of Nanofluid Electrochemistry in Heat Dissipation of Permanent Magnet Synchronous Motors

In order to solve the problem of heat dissipation of permanent magnet synchronous motors, a technology using the principle of nanofluid electrochemistry is proposed.The main content of this technology is based on the characteristics and applications of nanofluids; according to the experimental system, the preparation and experimental parameters of nanofluids were determined; finally, by studying the influence of ultrasonic oscillation time and dispersant on the stability of nanofluids, it was concluded that the improvement of the thermal conductivity of nanofluids contributed to the improvement of the heat transfer rate of nanofluids.Experimental results show that when the volume fraction is 0.5, the increase rate of thermal conductivity is 1.51, the increase rate of convective heat transfer coefficient is 20.33, and the increase rate of convective heat transfer coefficient is greater than that of thermal conductivity, which shows that nanofluids have very good heat dissipation ability.It is proved that the technical research of nanofluid can meet the heat dissipation requirements of a permanent magnet synchronous motor.

Journal: Journal of Chemistry (2022)
Publication types: Research Article;
Application of Multimedia Human-Computer Interaction Technology in Preschool Children Drama Education

With the continuous development of multimedia technology and children’s drama education as a very important part of preschool education, the combination of the two has attracted the attention of many scholars at home and abroad.Drama education for preschool children is the initial stage of children’s learning and the most important part of preschool education system.At the same time, preschool children drama education is the most basic stage of children’s intellectual development.The correct and reasonable preschool children drama education plays a great role in promoting their intelligence and development.The drama education for preschool children based on multimedia human-computer interaction technology not only expands new teaching methods for the traditional drama education model but also provides a good platform for teachers to choose teaching resources and injects new vitality into preschool children’s music education.This paper proposes the application of multimedia human-computer interaction technology in preschool children’s drama education.We analyze the current preschool children’s drama education curriculum reform that has limitations.The level of teachers’ drama education needs to be improved.Young children lack awareness of drama.Drama education for children lacks strong support from parents and other problems.In order to solve the above problems, we focus on voice interaction technology, image interaction technology, and somatosensory interaction technology in multimedia human-computer interaction technology, which establishes a set of teacher-multimedia-student three-dimensional crossover multidirection learning activity modes.In the multidirection learning mode, students can quickly develop their sense of rhythm.Teachers use image interaction technology to guide students to think about the relationship between content and form, so as to gradually form their own unique style of drama.At the same time, somatosensory interaction technology can cultivate teaching tasks seamlessly connected with the environment, so that students can follow the hologram through hands-on practice.Finally, this paper sets up a questionnaire on the experience of human-computer interaction mode in preschool children’s drama education, mainly to conduct a questionnaire survey on front-line drama teachers, aiming at preschool children’s drama learning activities and teachers’ teaching methods.In numerical experiments, we show teachers’ evaluation of the teaching effect of speech synthesis technology integrated into preschool children’s drama education and the classroom effect evaluation of speech synthesis technology integrated into preschool children’s drama education.The evaluation results show that the application effect of multimedia human-computer interaction technology in preschool children’s drama education is good, which can provide better services for preschool children’s drama education.

Journal: Advances in Multimedia (2022)
Publication types: Research Article;
Application of Mathematical Model in Orthodontics

With the development of digital information technology and big data technology, the medical industry has also undergone tremendous changes.Traditional medical treatment mainly relies on the technical experience of the attending doctor for treatment, and there is no sophisticated instrument or scientific analysis system to assist in treatment.With the improvement of people’s living standards, people’s attention to teeth has increased significantly.Traditional orthodontics is based on the subjective judgment of orthodontists and manual treatment.Due to the differences in the experience of orthodontists, the traditional orthodontic effect is often very poor.Using digital information and big data technology to carry out quantitative diagnosis and treatment analysis of teeth, 3d modeling, and simulation of prosthesis, personalized treatment of the prosthesis model, and finally applied to orthodontics, digital-based orthodontics make the orthodontic diagnosis and treatment process evidence-based, safer, and more effective.This article compares orthodontics and traditional oral orthodontics based on the mathematical model, to analyze the comfort of orthodontics, the aesthetics of orthodontics, the matching degree of aligners, and the stability of the environment in the periodontal ligament.It is concluded that the average orthodontic comfort based on the mathematical model is 85.6%, and the average aesthetic degree is 64.0%, which are more than 20% better than traditional orthodontics.It is also superior to traditional orthodontics in terms of the degree of matching of the appliance and the stability of the environment in the periodontal ligament.Therefore, the combination of mathematical models and orthodontics can lead to better orthodontic results.

Journal: Mobile Information Systems (2022)
Publication types: Research Article;
Application of CT Imaging in Differential Diagnosis and Nursing of Endocrine Tumors

In order to investigate the value of preoperative x‐ray computed tomography (ct) in predicting the pathological grade of pancreatic neuroendocrine tumors.This paper retrospectively analyzed the ct image examination of pancreatic neuroendocrine tumors, the image characteristics of g‐nec detected by ct image, and the detection of gst by spiral ct.In order to clearly diagnose and evaluate the size and scope of the focus, whether there is adjacent tissue invasion, metastasis, and treatment effect, ct, mr, pet‐ct, nuclide specific imaging, and other imaging methods are widely used in the medical treatment of p nen patients.These imaging methods have the advantages of noninvasive, rapid imaging, objective image medium, and strong repeatability.If the pathological grade of p nen patients can be obtained by imaging examination before operation, it will be of great benefit to the formulation of treatment strategies and the prediction of clinical outcomes.Combining ct image performance with imaging omics characteristics to establish a prediction model that can develop a better auxiliary decision‐making tool for clinical practice.Different pathological grades prompt clinicians to provide personalized and accurate medical treatment for patients, and reduce excessive medical treatment or wrong judgment caused by unclear preoperative diagnostic information.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Research Article;
Analysis of the Role of Decision Tree Algorithm in Art Education Based on the Background of the Internet of Things

In recent years, transportation, medical care, energy, and other fields have relied on a number of smart technologies such as the internet of things and cloud computing, and the degree of intelligence has continued to increase.As a key part of the future development of cities, education is facing tremendous pressure and challenges.How to use all kinds of smart technologies to promote the informatization of education and create a new era of smarter education is an important mission of current smart education.Decision tree classification is a frequently used technique in data mining.It has the characteristics of fast classification and high efficiency.It is not only used to analyze data but also to make predictions.Professional art education occupies an important position in college education.How to combine decision tree algorithms to develop targeted and effective professional art education and to strengthen the teaching reform and research method innovation of art design has become the current teaching work of colleges and universities.The purpose of this paper is to optimize the teaching mode of art courses in colleges and universities, improve the teaching effect of art classes, and realize the teaching goal of art courses.In this paper, art curriculum teaching experience and the reality of teaching research, through analyzing three local questionnaire surveys of college students, based on the principle of students’ subjectivity from the topic content, organization form, evaluation mode of college art teaching in our student autonomy, initiative, and the role of creative mechanisms are discussed.According to the practical teaching activities of art courses conducted in this paper, the satisfaction degree of college students with art courses is up to 92%, which indicates that this experiment is still relatively successful and significant, and arouses students’ subjectivity to some extent.

Journal: Mobile Information Systems (2022)
Publication types: Research Article;
Analysis of the Effect of Applying Ultrasound-Guided Nerve Block Anesthesia to Fracture Patients in the Context of Internet-Based Blockchain

In the process of surgical treatment, the introduction of ultrasound technology to implement nerve block anesthesia can make the operations of patients with fractures under visualization and it can also significantly improve the anesthesia effect.With this technology, it is possible to minimize the anesthesia operation causing accidental injury and lay a good foundation for the smooth operation of surgical treatment.Blockchain technology is a new decentralized infrastructure and distributed computing paradigm.This technology has great development opportunities in the medical field and is expected to play an important role in the construction of internet medical ecology.This study aims to investigate the effect of ultrasound-guided nerve block anesthesia on fracture treatment in the context of blockchain.This method has high application value and potential in medical data sharing, reducing treatment costs, improving the medical claims system, strengthening medical management, and optimizing medical decision-making using blockchain technology.This study also addresses the uniqueness and complexity of ultrasound-guided nerve block anesthesia itself and analyzes the effect of the proposed method.The analysis shows that using the internet-based blockchain ultrasound-guided subacromial nerve block anesthesia for fracture patients is effective, and the patient's vital signs are stable, and the block is effective.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Analysis of the Application Effect of Multidisciplinary Team Cooperation Model in Chronic Heart Failure under WeChat Platform

And purpose.Chronic heart failure (chf) is a complex clinical syndrome with a gradually increasing incidence that has become a public health problem of global concern.With the improvement of treatment modalities, great progress has been made in its treatment, but patients’ recovery outcomes are poor.The aim of this study was to apply the multidisciplinary teamwork model under the we chat platform to the treatment of patients with chronic heart failure.Methods.From april 2020 to may 2021, 56 patients with chf who were discharged from the cardiology department of our hospital after treatment were randomly divided into two groups: experimental group (n = 28) and control group (n = 28).The control group was given conventional nursing measures and health education and discharge instructions, while the experimental group received collaborative multidisciplinary team nursing care based on the we chat platform on the basis of the control group, all for 3 months.All enrolled patients underwent the self-care of heart failure index version 6.2 (schfi v6.2), the minnesota living with heart failure questionnaire (mlhfq), and the 6-minute walking test (6mwt test).The schfi v6.2 and mlhfq scores, 6 mwt test results, and readmission rates within 3 months were observed and compared between the two groups.Results.There was no significant difference between the schfiv6.2 and mlhfq scores of the two patients at admission and at discharge, and the scores of the experimental group were significantly higher than the scores of the control group at the end of 3 months after discharge.On the other hand, the schfiv6.2 and mlhfq scores of the two groups were significantly higher at discharge compared to admission; the 6-minute walking distance of the experimental group was significantly higher than that of the control group at the end of 3 months.The readmission rate in the experimental group was significantly lower than that in the control group.Conclusion.The multidisciplinary teamwork model based on the we chat platform can significantly improve the self-care ability and quality of life of chf patients and reduce the readmission rate.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Analysis of Serum Levels of IFN-γ, IL-4, and TNF-α in Patients with Cervicitis Complicated by HPV Infection and Their Clinical Significance

In order to investigate the expression levels of serum ifn-γ, il-4, and tumor necrosis tnf-α in patients with cervicitis complicated with human papillomavirus (hpv) infection and clinical significance, a retrospective study was conducted on 90 patients with chronic cervicitis complicated by hp v infection who visited our hospital from june 2020 to june 2021, and they are included in the research group.According to the degree of hpv infection, the patients are divided into low-risk hpv type group (n = 65 cases) and high-risk hpv type group (n = 25 cases); 50 patients with cervicitis (without hpv infection) who received treatment in our hospital are selected as control group 1.Fifty healthy women who underwent physical examination are selected as the control group 2.The general data of the two groups of patients during hospitalization are collected, and hpv-dna, ifn-γ, il-4, and tnf-α are detected in all patients.For patients with cervicitis complicated by hpv infection, the ifn-indexes in the body are significantly decreased, il-4 and tnf-αare significantly increased, and with the degree of hpv infection, ifn-γ, il-4, and tnf-α have high diagnostic performance with hpv infection, and there is a significant correlation between the three, which can be used in cervicitis complicated with hpv infection.It is widely used in the early diagnosis and screening of infected patients.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;