syedzayyan/paper_mill_benchmark huggingface dataset:
Optimization of Intelligent Display Mode of Museum Cultural Relics Based on Intelligent Wireless Sensor Network

The traditional way of museum exhibition is physical exhibition, which is essentially restricted by the venue, time, space, and display conditions and is no longer applicable to the display form of modern museum exhibits.Therefore, with the development of a large number of modern technologies such as information technology, wireless sensor technology and image processing technology, the way of museum cultural relics display also tends to be more intelligent and intelligent.Based on this, this paper will set up corresponding gateway nodes, routing nodes, and corresponding terminal nodes for each node of the corresponding museum based on the intelligent wireless sensor network technology; transmit the audio impact information of the corresponding museum exhibits through the terminal nodes; and automatically send the node short address information of the corresponding information to the corresponding analysis end in real time for analysis and processing, and then based on the information characteristics of the corresponding exhibits, at the same time, combined with virtual fusion and human-computer interaction technology, a set of augmented reality application system for tourist mobile terminal is developed.Abandoning the disadvantages of traditional museum display methods, this paper creatively designs the corresponding museum heritage intelligent display workflow based on intelligent wireless sensor network through c/s architecture and finally realizes the enhancement effect of virtual reality on tourism terminals.In order to verify the superiority of the intelligent display mode of museum cultural relics based on intelligent wireless sensor network proposed in this paper, this paper compares it with the traditional display mode.The experimental results show that this paper has obvious advantages in the display comprehensiveness, visitor satisfaction, and display effectiveness, which further improves the effect of museum cultural relics display.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Design of Image Acquisition System Based on Visual Intelligent Sensor and Video Signal Processing

With the rapid development and iteration of cmos image sensor and other related technologies, in addition to the more advanced technology, the corresponding sensor also integrates the image signal processing system, so it is a leap for the image acquisition system.Based on this, this paper will take the visual intelligent sensor produced and developed by a semiconductor company as the hardware to complete the hardware design of the image acquisition and transmission system.In addition to the core processor of the system, this paper will also use audio and video processing chips and image data processing chips for collaborative analysis, so as to ensure the processing capacity and processing quality of the image acquisition system at the hardware design level.Compared with the traditional system, at the corresponding system software level, in order to further improve the quality of video signal processing, this paper creatively proposes a switch weighted median filter denoising algorithm, which has a significant impact on the processing of random impulse noise in video and the overall image filtering.At the same time, the algorithm also protects the edge details of the video image, thus improving the authenticity of the image and video.Based on this, this paper has built a verification platform based on supporting hardware and corresponding algorithms.Through hardware debugging and system operation analysis, when the operating frequency of the visual intelligent sensor is 100 mhz, the set acquisition depth is 10 bits, and the corresponding system collects data at a rate of 251 fps per second.In terms of the corresponding performance, the iteration number of the algorithm proposed in this paper is about 40% more than that of the traditional algorithm in unit time.In terms of the corresponding algorithm performance, the algorithm proposed in this paper is about 30% higher than the traditional algorithm.In terms of the efficiency of the corresponding image and video acquisition system, the algorithm proposed in this paper is about 44% higher than the traditional algorithm.Based on this, the system proposed in this paper has obvious advantages over the traditional algorithm.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Load Prediction Model of Athletes’ Physical Training Competition Based on Nonlinear Algorithm Combined with Ultrasound

In order to provide theoretical support and ideas for the “dose” of high‐stakes physical activity in athletics, the author has developed models for athletic competition based on nonlinear techniques together with ultrasound.Based on test data, average mean estimation method, and nonlinear regression model estimates, 52 points (46 test points, 6 point estimates) is enrolled in the highest voltage and maximum voltage measurement based on the bp neural network model.The estimation method was developed and the accuracy of the estimation of our estimation method was compared and evaluated using the estimation data.Experimental results show that the average relative error of the average estimate compared to the accuracy of the bench press was 25%, the standard estimate which is not linear regression is 31%, and bp neural network model estimation is 9%.Compared with the accuracy of the assumption of half squatting, the average relative error of the estimated velocity is 13%, the standard nonlinear regression estimate is 20%, and bp neural network model estimated method is 9%.The bp neural network predicts the method with the best performance and intelligence, but its actual functioning and application are complex.The average speed estimate is the most appropriate for use, but the equipment must be high.The process of estimating a linear regression model requires minimal equipment, but its prediction error is high.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Research Article;
Investigation on Family Support System and Willingness of Patients to Participate in Cardiac Rehabilitation after Percutaneous Coronary Intervention

We attempt to discuss the relationship between family support and willingness to participate in exercise rehabilitation in coronary heart disease patients after pci to provide effective guidance for improving the quality of life of coronary heart disease patients after pci.Methods.By convenient sampling, we selected 90 coronary heart disease patients in cardiology department from september 2021 to january 2022, using general information questionnaire, rehabilitation exercise knowledge, attitude, and behavior questionnaire of patients with coronary heart disease, and the social support scale to investigate the subjects.Results.The total score of knowledge, belief, and behavior in patients with coronary heart disease was 33.02 ± 6.28 points, the social support scale score was 39.63 ± 6.07 points, the multiple linear regression revealed that the educational level, history of cardiovascular disease, and the number of coronary stents of coronary heart disease patients after pci are the main influencing factors that affect the willingness of coronary heart disease patients to participate in exercise rehabilitation.Conclusion.Rehabilitation exercise knowledge, belief, and behavior scores in coronary heart disease patients are low, and social support is negatively correlated with rehabilitation exercise in coronary heart disease patients.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Inspecting Decorative Ceramic Defects by Fusing Convolutional Neural Network and Image Recognition

The intelligent inspection of ceramic decorative defects is one of the hot research at present.This work aims to improve the defect inspection automation of finished decorative ceramic workpieces.First, it introduces the multi-target detection algorithm and compares the performance of different network models on the public data set.Second, the initial images are collected on the spot.The initial pictures are easy to produce noise in actual deployment, affecting the image quality.Therefore, image preprocessing is performed for the initial images, and a median filtering method is used to calculate the denoising.Finally, the original you only look once version 3 network model is realized.Based on this, the decorative ceramic-oriented automated surface defect inspection model is proposed.Then, decorative ceramic defect images are inputted for model training.The experimental conclusions are deeply studied and analyzed.The results show that the proposed decorative ceramic-oriented automated surface defect inspection model based on deep learning technology has good feature extraction and inspection ability.The detection accuracy is 94.90% on the test set, and the detection speed reaches 25 frames per second.Compared with the traditional manual inspection method, the proposed model greatly improves the inspection effect and can meet the on-site inspection requirements of surface defects of decorative ceramics under complex backgrounds.It is of great significance to improve the quality inspection efficiency and economic benefits of china’s decorative ceramics industry.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Individualized Assessment and Therapeutic Intervention for Mental Health of American Postmodern Novelists

Therapeutic intervention can improve the overall level of mental health of american postmodern fiction writers by improving their social communication skills and overall well-being.This paper discusses the application of art therapy in the mental health education of american postmodern novel creators and proves that expressive art therapy intervention is effective in improving the mental health level of american postmodern novel creators.Method.This article attempts to help american postmodernist novel creators understand their own mental health status by means of individualized assessment and therapeutic intervention and to analyze and discover their own potential mental health problems.The writers of postmodernist novels in the usa were measured and screened by means of scales and questionnaires, and the members who met the experimental intervention were divided into experimental group and control group, and the experimental group received a 30-day reception music therapy intervention.After the intervention, the data will be counted, and the quantitative and qualitative aspects will be analyzed to comprehensively evaluate the effect of the intervention.Results/discussion.Receptive music therapy intervention has a significant effect in relieving the anxiety of american postmodernist novel creators and plays a positive role in helping american postmodernist novel creators better adapt to study life and build good emotional psychology and interpersonal relationships.Psychological counseling relies more on external forces to correct cognition and adjust psychology, while music therapy intervention, as a nonsemantic art, can arouse inner functions and mobilize the self-healing potential of american postmodern novel creators.Practice has proven that when the language intervention of traditional psychotherapy encounters resistance and silence, music as a special language plays a vital role.The nonlinguistic nature of music, through a mode of reproduction of sounds in nature, makes the beautiful and soothing melody stimulate a pleasant and peaceful psychological experience through human hearing.

Journal: Occupational Therapy International (2022)
Publication types: Research Article;
Correlation between Lpa, APO-A, APO-B, and Stenosis of Middle Cerebral Artery in Patients with Cerebral Ischemic Stroke

Ischemic stroke (cis) is characterized by a high incidence, disability, and mortality.Numerous studies have demonstrated that intracranial arterial stenosis is an important pathological basis of cis, and its main cause is atherosclerosis.Dyslipidemia is an important risk factor for atherosclerosis.Lysophosphatidic acid (lpa), apolipoprotein -a(apo-a), and apolipoprotein -b(apo-b) proved to be significantly correlated with the severity of coronary artery disease.This study retrospectively collected the case data of 186 patients with cis treated from may 2020 to may 2022 and explored the correlation between lpa, apo-a, apo-b, and middle cerebral artery (mca) stenosis in cis patients.

Journal: Emergency Medicine International (2022)
Publication types: Research Article;
Influence of the Integration of Aesthetic Education by Zhu Xi’s Neo-Confucianism on the Ideological and Political Education and Internalized Psychology of College Students

The purpose is to study the influence of zhu xi’s neo-confucianism on the ideological and political education (ipe) of college students.Firstly, the aesthetic connotation of zhu xi’s neo-confucianism is studied.Secondly, an interview is performed with teachers of the ipe course in a university in xi’an, and a questionnaire survey is conducted on some students of the ipe course in the school.It aims to investigate the current situation of college students’ ipe, and the impact of integrating aesthetic education into ipe of college students on the improvement of students’ overall quality and internalized psychology.Finally, the reasons for this situation are analyzed and solutions are given.The survey results reveal that the aesthetic education thoughts based on zhu xi’s neo-confucianism are integrated into the construction of college students’ internalized psychological mechanism, and most students think that their mental health status has changed a lot.The proportion of boys who choose “improved” is 57.95%, and the proportion of girls is 53.45%.The aesthetic education is integrated into the ipe of college students, and the proportion of students who think “no effect” after integration and before integration has decreased by 2.01%.The proportion of the number of people who chose the three indicators of “increasing the innovation of teaching methods”, “advancing aesthetic ability”, and “improving the effectiveness of ideological education” increased by 5.88%, 5.5%, and 3.98%, respectively.It demonstrates that the effect of ipe on college students has been greatly improved after integration into aesthetic education.

Journal: Occupational Therapy International (2022)
Publication types: Research Article;
Influence of High-Protein Food on Physical Function of Athletes

In order to explore how high-protein foods can achieve effects on athletes’ bodies, the authors propose a study based on athletes’ physical performance.This method recommends key technical problems and solutions through the information represented by the athlete’s physical function and discovers how high-protein foods enable research into athletic performance.Research has shown that athletes perform high-intensity sports training for a long time, in a state of high-intensity competition, the body’s energy metabolism is strong, and the protein consumption rate is high; protein foods can preserve protein, water, electrolytes, and other nutrientsand supplement about 71% of the body’s nutrition, and it helps to strengthen muscles, relieve sports fatigue, improve immunity, etc., which is of great significance to athletes.

Journal: Journal of Food Quality (2022)
Publication types: Research Article;
Construction of Online Shopping Legal Protection Mechanism Based on Artificial Intelligence Technology

With the rapid development of the internet and social economy, in the process of online shopping, a series of problems frequently occur, the most serious of which is tort and rights protection, but laws and regulations often lag behind the development of e-commerce transactions.Artificial intelligence technology embodies the exchange and use of digital information, which is an inevitable trend in the development of modern society.The research object of this research is students.Based on the connotation and significance of artificial intelligence technology, it aims to put forward effective solutions and suggestions to the law problems that arise in the online shopping process of students through some data analysis obtained by artificial intelligence technology, so as to provide reference for guiding student groups to form correct consumption concepts and promoting relevant institutions to maintain a safe and reasonable online shopping mechanism and platform environment.According to the above goals, this research combines the agent technology in the field of artificial intelligence, proposes and builds a legal protection system framework that meets the requirements of online shoppers, discusses how to use the law to regulate infringement and rights protection in the process of online shopping, and has implications for improving the legal system in the process of online shopping.

Journal: Mobile Information Systems (2022)
Publication types: Research Article;
Health Detection System for Sports Dancers during Training Based on an Image Processing Technology

Dance sport is a competition of athletes for qualities such as speed, strength, endurance, flexibility, and coordination, requiring a high level of overall physical fitness.As china’s sports fever continues to heat up, especially among students, the active nature of young people can lead to overenthusiasm for sports, dance, and other sports, which can lead to various physical discomforts during sports.Especially in the current sports habits of students, there is a great hidden danger of sports injuries.It is mainly due to excessive exercise, irregular exercise methods, and incomplete sports protective equipment.On this basis, this study proposes a model to further assess the health status of individuals and groups from the rate of energy consumption during exercise by building a real-time motion detection system.The development of sports health assessment systems, including the application of imaging techniques, is also analyzed.The experimental results in this article show that when the error threshold is set to 10%, the accuracy of the model is 85%, and the obtained results are ideal.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Construction of a Health Management Model for Early Identification of Ischaemic Stroke in Cloud Computing

Knowledge discovery and cloud computing can help early identification of ischaemic stroke and provide intelligent, humane, and preventive healthcare services for patients at high risk of stroke.This study proposes constructing a health management model for early identification and warning of ischaemic stroke based on io t and cloud computing, and discusses its connotation, constructive ideas, and research content so as to provide reference for its health management in order to develop and implement countermeasures and to compare the awareness of early stroke symptoms and first aid knowledge among stroke patients and their families before and after the activity.The rate of awareness of early symptoms and first aid among stroke patients and their families increased from 36% to 78%, and the difference was statistically significant ( p &lt; 0.05 ) before and after the activity.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Internet Entrepreneurship Information Resource Sharing System Based on Improved Deep Learning Algorithm

In order to promote the circulation of internet entrepreneurial information, based on information theory and general security theory, this paper explains how to construct the attack channel and defense channel of the k-anonymity model, so as to provide a reliable network foundation for the transmission of related information.In order to fully solve the problems existing in multiuser requests, this paper proposes two modules, single-request sharing mode and multirequest sharing mode, to process query requests in the request queue to maximize the reuse of request results.Moreover, the model constructed in this paper needs to be processed through deep learning first and then shared through the intelligent model.Therefore, the data learning and data sharing of the model are mainly analyzed during model validation.The experimental simulation results show that the intelligent sharing model of internet entrepreneurial information resources based on deep learning proposed in this paper has good data learning and data transmission effects.

Journal: Mobile Information Systems (2022)
Publication types: Research Article;
Design and Optimization of Psychological Emergency Response System for College Students Based on IoT and Computational Intelligence

Today, when university students are the future subjects of society, psychological crises are constantly emerging.At the same time, considering the rapid socioeconomic development, competition among the best talents, cultural diversity, and the growth of temptations and events in public health, all of these put growing students through the wringer.However, when traditional sentiment data are analyzed through manual selection, it usually has some drawbacks such as small sample size, poor real-time status, high transaction costs, and high human errors.We need to use modern technology, applied technology, and computer intelligence to collect psychological data from all respondents, which is ultimately measured by sentiment data.Use the results of emotional data analysis to deal with emergencies in a timely manner.The system designed in this paper has unprecedented advantages in terms of automation, timeliness, and accuracy compared to previous participatory psychotherapy methods.

Journal: Mobile Information Systems (2022)
Publication types: Research Article;
Construction and Evaluation of Neural Network Correlation Model between Syndrome Elements and Physical and Chemical Indexes of Unstable Angina Pectoris Complicated with Anxiety

Syndrome elements are regarded as the smallest unit of syndrome differentiation, which is characterized by indivisibility and random combination.Therefore, it can well fit the goal of syndrome differentiation and unity.Methods.Clinical physicochemical indicators are important references for disease diagnosis, but they are often not used too much in the process of tcm syndrome differentiation.In the era of intelligence, communicating tcm syndrome differentiation at the macro level with physiological and pathological processes at the micro level (i.e., these clinical physicochemical indicators) is an effective tool to realize intelligent medicine.Taking the collected relevant clinical physical and chemical indexes as the research object, on the basis of routine t-test and nonparametric test, logistic regression model is used to mine the main syndrome elements, and neural network multilayer perceptron is used to predict the feature model.Results.Compared with non-blood stasis patients, there were significant differences in hgb, plt, pt, pta, na+, tg, ldl, bnp, lvedd, and ef in blood stasis patients.Taking blood stasis as the dependent variable and the above physical and chemical indexes with statistical significance ( p &lt; 0.05 ) as independent variables.Compared with non-qi depression patients, there were significant differences in atpp, tg, tc, ldl, lvesd, and fs in qi depression patients ( p &lt; 0.05 ).Taking yin deficiency as dependent variable and the above physical and chemical indexes (hgb, aptt, ckmb, lvedd, and lvpw) with statistical significance ( p &lt; 0.05 ) as independent variables, binary logistic regression analysis was carried out.Conclusion.The combination pattern of physical and chemical indexes obtained from the neural network model provides a clinical reference basis for identifying the syndrome elements of unstable angina pectoris complicated with anxiety, such as blood stasis, qi depression, qi deficiency, yin deficiency, phlegm turbidity, and qi stagnation.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;