syedzayyan/paper_mill_benchmark huggingface dataset:
Artificial Intelligence and Big Data-Based Injury Risk Assessment System for Sports Training

Sports training is an important part of daily life, and various injuries are prone to occur during the training process.If they are not dealt promptly, they are bound to affect daily life.Although our nationals are becoming more and more aware of participating in physical exercise, they are performing numerous sports activities at the time of unexpected events, and sports injuries are becoming more and more frequent.To realize the evaluation and automatic prediction of sports training injury risk factors, a sports training injury risk evaluation algorithm using big data analysis is proposed.Establish a training injury risk analysis model, analyze the relevant parameters of training injury risk assessment through statistical and quantitative analyses, extract the entropy characteristics of training injury risk big data, optimize the decision-making and assessment process of injury risk through stable result assessment and fuzzy decision-making, and establish an expert system analysis model of sports training injury risk assessment.The hierarchical analysis method is applied to evaluate the training injury risk, and the adaptive fuzzy control is optimized to realize the optimal design of training injury risk assessment.Results show that this method has good adaptive characteristics and high certainty.

Journal: Mobile Information Systems (2022)
Publication types: Research Article;
Application Value of a Deep Convolutional Neural Network Model for Cytological Assessment of Thyroid Nodules

To investigate the application value of a deep convolutional neural network (cnn) model for cytological assessment of thyroid nodules.Methods.117 patients with thyroid nodules who underwent thyroid cytology examination in the affiliated people’s hospital of ningbo university between january 2017 and december 2019 were included in this study.100 papillary thyroid cancer samples and 100 nonmalignant samples were collected respectively.The sample images were translated vertically and horizontally.Thus, 900 images were separately created in the vertical and horizontal directions.The sample images were randomly divided into training samples (n = 1260) and test samples (n = 540) at the ratio of 7 : 3 per the training sample to test sample.According to the training samples, the pretrained deep convolutional neural network architecture resnet50 was trained and fine-tuned.A convolutional neural network-based computer-aided detection (cnn-cad) system was constructed to perform full-length scan of the test sample slices.The ability of cnn-cad to screen malignant tumors was analyzed using the threshold setting method.Eighty pathological images were collected from patients who received treatment between january 2020 and may 2020 and used to verify the value of cnn in the screening of malignant thyroid nodules as verification set.Results.With the number of iterations increasing, the training and verification loss of cnn model gradually decreased and tended to be stable, and the training and verification accuracy of cnn model gradually increased and tended to be stable.The average loss rate of training samples determined by the cnn model was (22.35 ± 0.62) %, and the average loss rate of test samples determined by the cnn model was (26.41 ± 3.37) %.The average accuracy rate of training samples determined by the cnn model was (91.04 ± 2.11) %, and the average accuracy rate of test samples determined by the cnn model was (91.26 ± 1.02)%.Conclusion.A cnn model exhibits a high value in the cytological diagnosis of thyroid diseases which can be used for the cytological diagnosis of malignant thyroid tumor in the clinic.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;
Application of Sensor and Fuzzy Clustering Algorithm in Hybrid Recommender System

In order to solve the problem of topic drift and topic enlargement in hybrid recommendation system, a possibility c clustering algorithm based on fuzzy clustering, namely, ipcm (improved possible clustering method) algorithm, is proposed.This method improves the initial value sensitivity of pcm algorithm and introduces the user interest model into the initial matrix, so that the results obtained by the convergence of ipcm algorithm are closer to the recommended topics required by users.The recommended technology algorithm is also fused by learning from each other to form a fusion recommendation algorithm.The fusion recommendation algorithm and ipcm algorithm are applied to the result sorting, and the accuracy of the applied results is compared with that of the traditional page rank algorithm, so as to judge the accuracy of the algorithm.The feasibility and superiority of the algorithm are verified by experiments.The experimental results show that ipcm algorithm can speed up the search for useful information and reduce the search time.Moreover, when the query range is reduced, the accuracy of the algorithm is higher than that of the traditional algorithm, which can be improved by 10% ~30%.Conclusion.This method can effectively make up for the problems of topic drift and topic enlargement in the recommendation system, with faster speed and higher accuracy.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Application of Multimedia Semantic Extraction Method in Fast Image Enhancement Control

In order to solve the problem that it is difficult to effectively enhance the details of the compressed domain and maintain the overall brightness and clarity of the image when improving the image contrast in the current image enhancement method in the compressed domain, a multimedia semantic extraction method is applied in fast image enhancement control.It has been proposed that thealgorithm that synthesizes training samples according to the retinex model converts the original low-light image from rgb (red-green-blue) space to hsi (hue saturation intensity) color space, keeps the chrominance and saturation components unchanged, and uses dcnn to enhance the luminance component; finally, it converts the hsi color space to rgb space to get the final enhanced image.The experimental results show that the performance of the model will increase with the increase of the number of convolution kernels, but the increase of the number of convolution kernels will undoubtedly increase the amount of calculation; it can also be found that when the number of network layers is 7, the psnr of the image output by the model increases.The highest value, increasing the number of network layers, does not necessarily improve the performance of the model; with or without bn, his training method converges more easily than direct rgb image enhancement, with higher average psnr and ssim values.The experimental results show that, compared with the traditional retinex enhancement algorithm and the dct compression domain enhancement algorithm, the algorithm has better detail enhancement and color preservation effects and can better suppress the block effect.

Journal: Journal of Control Science and Engineering (2022)
Publication types: Research Article;
Application of Intelligent Sensor in Mining Electrical Equipment Collection

In order to meet the informatization requirements of coal mine safety monitoring, the author proposes a method for the application of smart sensors in the acquisition of mine electrical equipment.The system uses a variety of sensor fusion methods, with the help of zigbee wireless network nodes, and passes the data collected by the sensor to the mcu core processor; thus, the collected data are processed, and then, the rs-485 communication protocol is used to upload the data to the upper station; finally, the monitoring of coal mine safety is realized through the background monitoring interface.Experimental results show that, among the five randomly selected nodes, most of the errors between the actual measured results and the collected results are concentrated within the 2% error range.Conclusion.The effect of the abovementioned acquisition scheme in coal mine application is verified, so as to realize the scientific monitoring of coal mine safety.

Journal: Journal of Control Science and Engineering (2022)
Publication types: Research Article;
Application of Intelligent Nursing Information System in Emergency Nursing Management

This paper is combined with the intelligent nursing information system to build the emergency nursing platform architecture, from the system emergency procedures, system functionality, network environment deployment, and database design aspects of the discussion.Based on hospital information security, the nursing monitoring system of the intelligent nursing information system is constructed to realize network communication, which is clear and intuitive.The intelligent information system is applied to safety control, medical order information, condition information, and information inquiry, which can save working time and complete the rapid transmission and accurate execution of medical order, making the network communication of medical care more quick and convenient and maximizing the overall efficiency.Based on the disordered phenomenon of registration triage, the relief algorithm is used to classify the aetiology and triage, and the combination of medical advice, information query, and it technology is optimized, so as to eliminate the phenomenon of round diagnosis, insert number, and improve the medical environment of waiting for diagnosis, taking medicine, examination, and testing.Finally, through the testing of system information security, information traceability, and rapid information query, the problems in nursing management have been basically solved.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;
Application of CAD Technology in Extracting Line Feature of Industrial Part Image

In order to solve the problem that the properties of the acquired images in engineering are often poor and the features of the images are seriously lost, so that the image features cannot be effectively developed, an application method of cad technology in the extraction of linear features of industrial parts images is proposed.Based on 3d computer-aided design (cad) data, by solving the parameter transformation relationship between the cad 3d cartesian coordinate system and the image coordinate system, the target line feature is projected onto the image, and the initial value range of the image line feature is obtained.The edge point sequence is extracted by multiplication template matching, and the generated point sequence is fitted by the least square method to obtain the line equation of the image line feature.By solving the intersection of the intersecting lines of the image, the straight line segment representing the contour of the industrial part can be obtained with high precision.The experimental results show that the above algorithm is used to extract the line features of real industrial part images, and the median error of the difference between the reconstructed line length and the line length measured by the vernier caliper is 0.232 mm.The practice has proved that cad technology has a certain auxiliary and guiding role in the research of industrial part image feature extraction algorithms.It can be applied to high-precision image measurement and reverse engineering of regular industrial parts.In engineering technology, it can help improve the automation level of industrial production.

Journal: Journal of Control Science and Engineering (2022)
Publication types: Research Article;
Application and Value of Dynamic Volume CT Multiparameter Imaging in the Diagnosis of Traumatic High-Flow Penile Abnormal Erection

To explore the clinical application of dynamic volume ct multiparameter imaging in the observation of penile hemodynamics in patients with abnormal vascular erections.Methods.90 patients with suspected vascular abnormal erections treated in our hospital from january 2016 to january 2020 were included in the study, and 40 patients with psychologically abnormal erections were selected for the control.The corpus cavernosum injection vasoactive drug test (ici) and dynamic volume ct and doppler ultrasound were used to test the hemodynamics of the corpus cavernosum of all selected patients and to analyze the changes of penile length, circumference, systolic peak flow rate, diastolic peak flow rate, and blood flow resistance index in different types of penile erection disorder patients before and after ici test.Results.Among the 90 patients with suspected vascular abnormal erection, 34 patients had arterial abnormal erection, 25 patients had venous abnormal erection, and 31 patients had mixed vascular abnormal erection.In patients with arterial abnormal erection and mixed vascular abnormal erection, penile cavernous body diameter, psv, and abnormal erection v are smaller than those in patients with venous abnormal erection and psychological abnormal erection, while arterial abnormal erection and psychological abnormal erection are obviously higher in ri than venous abnormal erection and mixed vascular abnormal erection, and the difference is statistically significant ( p &lt; 0.05 ).Before the ici test, there was no significant difference in the penis circumference and length between the four groups of patients with arterial abnormal erection, venous abnormal erection, mixed vascular abnormal erection, and psychological abnormal erection ( p &gt; 0.05 ); after the ici test, patients with arterial abnormal erections had significantly shorter penis perimeter and penis length than those with venous abnormal erections, mixed vascular abnormal erections, and psychological abnormal erections ( p &lt; 0.05 ).Conclusion.Dynamic volume ct can clearly reflect the penile hemodynamic state of patients with vascular abnormal erections, provide a powerful diagnostic basis for accurately and effectively determining the classification of vascular abnormal erections, and be worthy of popularization and clinical use.

Journal: Scientific Programming (2021)
Publication types: Clinical Study;
Analysis on the Effect of Wushu Project Propagation in Nonmaterial Cultural Field of Environmental Protection Based on Artificial Intelligence Analysis Technology

Since the beginning of the new century, the party and the government have always attached great importance to youth sports work and cared about the healthy growth of youth.The cpc central committee and the state council have issued the opinions on strengthening youth sports and strengthening youth physique, which has initially formed a social consensus on promoting the healthy growth of young students.With the process of school education reform and the promulgation and implementation of the ministry of education’s opinions on implementing and ensuring the time of daily sports activities for primary and middle school students, especially the official launch of the “national sunshine sports for hundreds of millions of students” in 2021, the school sports work in china has entered a new historical stage.Under this premise, the status and importance of wushu in the intangible cultural field of schools have been gradually improved.As an important part of school sports, wushu in the field of intangible culture plays an important role in strengthening students’ physique, improving students’ health, and promoting students’ intellectual development.It is also one of the basic ways to realize school sports.How to better play its role has attracted the attention of many experts and scholars.This study focuses on the current situation of wushu projects in the field of intangible culture in weixian middle school of xingtai city, trying to understand its advantages and existing problems through the current situation, and put forward targeted solutions, so as to enable wushu projects in the field of intangible culture to play their educational and fitness functions in school sports and provide help for the comprehensive development of middle school students.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
Analysis on Influencing Factors of Recurrence after Indirect Inguinal Hernia Laparoscopic Surgery

This paper aims to analyze the recurrence of indirect inguinal hernia in children after laparoscopic surgery and investigate the influencing factors that may lead to recurrence so as to guide the prevention and treatment of postoperative recurrence of this kind of disease in the future.The data of 260 children with indirect inguinal hernia treated by laparoscopic surgery and followed up in our hospital from july 2019 to july 2021 were selected.A self-designed questionnaire was used to collect the basic data.The recurrence was analyzed, and the influencing factors of recurrence were analyzed by univariate analysis and multivariate analysis.Among 400 children after indirect inguinal hernia laparoscopic surgery, an occurrence was observed in 15 children, and the recurrence rate was 5.77%.Univariate analysis showed that the age and course of disease were not correlated with recurrence after indirect inguinal hernia laparoscopic surgery ( p &gt; 0.05 ).Being male, bilateral lesions, exact high ligation, loose hernia back wall peritoneum, deciduous ligature, incorrect ligation of the fascia of musculus obliquus externus abdominis, large inguinal hernia, circumferential wiring, and too early off-bed activity were the influencing factors of recurrence after indirect inguinal hernia laparoscopic surgery ( p &lt; 0.05 ).Logistic multivariate regression analysis showed that being male, bilateral lesions, loose hernia back wall peritoneum, deciduous ligature, incorrect ligation of the fascia of musculus obliquus externus abdominis, large inguinal hernia, and too early off-bed activity were the influencing factors of recurrence after indirect inguinal hernia laparoscopic surgery (or&gt;1, p &lt; 0.05 ).Exact high ligation and circumferential wiring were protective factors of recurrence after indirect inguinal hernia laparoscopic surgery (or&gt;1, p &lt; 0.05 ).After indirect inguinal hernia laparoscopic surgery, recurrences were affected by many factors, such as gender, site of pathological changes, and loose hernia back wall peritoneum.For these children with risk factors, reasonable intervention should be taken to reduce recurrence; exact high ligation and circumferential wiring are the protective factors.If permitted, the children meeting related indications can be treated by high ligation or circumferential wiring to reduce the risk of recurrence after indirect inguinal hernia laparoscopic surgery.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Clinical Study;
Analysis of the Stage Performance Effect of Environmental Protection Music and Dance Drama Based on Artificial Intelligence Technology

There are a lot of environmental protection musicals and dances in public entertainment life to support the concept of environmental protection and to entice people to support the cause of environmental protection.As we all know, in a musical performance, the distance between the audience and the actors, the design of the stage environment, the training of the actors, the costumes of the actors, the makeup of the actors, and the musical accompaniment will all have more or less influence on the stage performance effects.In order to make environmental protection music and dance dramas profoundly meaningful to social production and human activities, it is especially important to analyze the stage performance of such music and dance dramas.The analysis of stage performance effects is not only beneficial to making the ideas spread by the music and dance drama penetrate into people’s hearts but can also provide guiding suggestions for the production of music and dance drama.Therefore, this paper proposes a linear regression algorithm based on artificial intelligence to deeply explore and analyze the influence of the above six factors on the stage performance effects of environmental protection music and dance drama.In our method, first we preprocess the data collected by classification to remove the odd values from the data so that the various types of data conform to a normal distribution.Secondly, we obtained linear fit plots of the six factors with the stage performance effect scores by using a linear regression algorithm to deeply analyze the correlation between various types of data and the stage performance effect scores.Finally, through numerical calculations, we found that the distance between the audience and the actors, the training of the actors, and the musical accompaniment have a greater influence on the performance effect of the musical cabaret in the environmental protection category.Meanwhile, the costumes of the actors, the makeup of the actors, and the design of the stage environment have less influence on the performance effect of the musical cabaret.Therefore, in the production and performance of environmental protection music and dance dramas, producers and performers should pay more attention to the distance between the audience and the actors, the design of musical accompaniment, and the training of actors.To sum up, this paper has made a scientific, detailed, and reasonable analysis of the performance effect of environmental protection music and dance dramas on stage, contributing to the dissemination of environmental protection ideas.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
Analysis of the Impact of the Development Level of Aerobics Movement on the Public Health of the Whole Population Based on Artificial Intelligence Technology

With the enhancement of china’s comprehensive national power and the improvement of people’s living standards, health has become the goal that people pursue.While people are thirsty for extensive knowledge and a healthy body, they also pay more attention to the cultivation of elegant temperament and the enjoyment of beauty, and aerobics has become a hot spot for national fitness with its advantages of coordinated and beautiful movements, bright and cheerful rhythm and obvious fitness effects.Aerobics is a new popular fitness sports, from the beginning of development by most fitness enthusiasts, especially it is a women’s favorite.To this end, the characteristics, value, status, and role of aerobics in the public health of all people are discussed, and the problems of poor recognition effect in the existing aerobics difficulty aerobics action recognition methods are proposed to apply the graph convolutional neural network to the aerobics difficulty aerobics action recognition.The video of aerobics is divided into several images, and the background of the aerobics difficult aerobics action image is eliminated, and the gray scale co‐generation matrix is set to estimate the local area blur kernel of the difficult action image to correct the visual error of the difficult action image.“change to” the aerobics action is divided into several difficult action images, and the gray‐scale symbiosis matrix is set to estimate the local area fuzzy core of the difficult action image, and correct the visual error of the difficult action image.On this basis, the graph convolutional neural network is pre‐trained to construct a human‐directed spatial‐temporal skeleton map, and the human‐directed spatial‐temporal map representation is modeled with temporal dynamic information to achieve aerobics difficult aerobics action recognition.The experimental results show that the recognition time of the difficult aerobics movements based on the graph convolutional neural network is shorter and the number of false recognitions is less in complex and simple backgrounds, which proves that the proposed method improves the recognition of difficult aerobics movements to achieve the goal of promoting the development level of aerobics and improving the public health of all people.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;