syedzayyan/paper_mill_benchmark huggingface dataset:
Complex Discrete System Analysis of Process Design and Tourist Souvenir Making Based on Artificial Intelligence 3D Printing

With the rapid development of 3d (three-dimensional) printing technology, it has been widely used in the field of ceramic arts and crafts.However, due to the complexity of 3d printing technology, it will face complex modeling and calculation when designing ceramic art crafts.To this end, the artificial intelligence algorithm is introduced, and using the data measured by the built-in modeling instruction of lammps of the artificial intelligence algorithm, the program is used to reset its coordinates, length, width, height, and focal length.The obtained data are modified by postprocessing to correct its coordinates and the size of the simulation frame, so that the nanopowder model is placed in the center, forming a solid ellipsoidal aluminum nanopowder and cutting it into a three-dimensional model of teapot, which is transformed into the stl file of two-dimensional cross section, and the finished product is printed out to the 3d printer.Finally, the rtm model is used to test the quality of tourist souvenirs.The results show that the homogeneity of variance is much greater than 0.10.It can be inferred that the tourist souvenirs of pottery teapots have met the requirements of national technological quality standards.

Journal: Discrete Dynamics in Nature and Society (2021)
Publication types: Research Article;
Developing Countermeasures of Integrating Entrepreneurship Education with Professional Education in Colleges and Universities Using Data Mining

The purpose is to promote the integrated development of innovation and entrepreneurship education (iee) and professional education (pe) in colleges and universities (caus) more accurately and efficiently.Data mining (dm) technology is introduced to study iee + pe in caus.At present, although the state strongly supports the iee + pe, the integration progress is still slow, and iee and pe are still completely independent of each other.Therefore, it is urgent to combine iee with pe organically.Accordingly, based on dm technology, this work analyzes the current situation and existing problems of iee + pe and puts forward suggestions and corresponding countermeasures for the future development of iee + pe.The results show the following: (1) college students have high expectations of cultivating their innovation and entrepreneurship ability.(2) the internal and external influencing factors of iee must be merged.(3) the implementation methods of iee should be diversified.(4) the current resource allocation of iee is unreasonable.Based on the above analysis, the existing problems are studied in detail and the corresponding countermeasures are put forward.Meanwhile, dm technology provides a theoretical data basis, making the research results more authentic and reliable and providing reference suggestions for iee + pe.

Journal: Journal of Electrical and Computer Engineering (2022)
Publication types: Research Article;
Biosynthesis of Iron Oxide Nanoparticles Using Leaf Extract of Ruellia tuberosa: Mechanical and Dynamic Mechanical Behaviour Kevlar-Based Hybrid Epoxy Composites

One of the more enticing, ecologically responsible, as well as safe and sustainable methodologies is eco-friendly nanomaterial synthesis.Vegetation materials will be used as reductants instead of toxic substances for synthesising nanoparticles.The current study used ruellia tuberosa (rt) leaf extract digest to synthesise fe o nanomaterials, which were then characterised using xrd.Following that, microbially produced fe o molecules were mixed with a kevlar-based polymeric matrix to study the blended consequences.To examine the interbreeding, the current experimental analyses were performed, including both static and dynamic mechanical characteristics.The addition of fe o nanofillers improved the elastic modulus, tensile strength, and storage modulus of the nanocomposite.Impact force uptake has been raised to a certain extent by the addition of nanoparticles.The findings of this research show that incorporating fe o nanofillers into kevlar fabrics is a promising technique for increasing the mechanical characteristics of hybrid laminated composites.As per dma evaluation, the sample without nanomaterials had a more volcanic lava response, which is a useful thing for body systems for missile use.Another critical aspect of a nanoparticles-filled nanocomposite that must be addressed is the relatively uniform scattering of padding as well as the development of interfacial adhesion in such a combination.The presence of fe o fillers in polymeric composites is confirmed by xrd analysis.

Journal: Bioinorganic Chemistry and Applications (2023)
Publication types: Research Article;
Assessing Usability and Accessibility of Indian Tourism Websites for Visually Impaired

The tourism industry cannot ignore the needs of people with special needs.Providing accessible tourism is essential because of social and legal obligations, but also because they have large business opportunities.These people with special needs face challenges in every social, economic, and digital environment.One of the greatest barriers they face is the lack of accessible and usable information on the internet, which thwarts their travel plans.This research is aimed at identifying the usability and accessibility status of official state tourism websites of india.The usability evaluation was done on various web quality parameters using automated online tools.The accessibility evaluation was done to check the compliance of web content accessibility guideline version 2.0 by the tourism website using the automated tool taw.Further manual inspection was applied to identify accessibility and language options on the webpage.The result revealed that indian state tourism websites had low usability and accessibility status, and they need much improvement to make them accessible to people with special needs.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Artificial Intelligence Imaging to Observe the Protective Effect of Hydrogen Sulfide on Acute Kidney Injury Caused by Urinary Sepsis

With the development of medical technology products and the rapid development of computer technology, medical ai has become a hotbed in scientific research and clinical practice.Some medical ai‐assisted diagnosis has been applied to the clinic to assist doctors in formulating treatment plans.The traditional method of clinical diagnosis and treatment is that the physician makes an intentional diagnosis and then performs ancillary tests.The clinician performs diagnosis and treatment by identifying clinical symptoms and analyzing auxiliary examination results.Modern medical ai is based on big data collection and analyzes the test results through artificial intelligence and computer algorithms.It can output diagnostic results with high sensitivity and specificity for clinical tests.Acute kidney injury (aki) is a common clinical emergency.The main clinical features are elevated blood creatinine, decreased urine output, and sharp decline in renal function within a short period of time, and it is a hot spot worldwide.In this experiment, a rabbit sepsis model was replicated by inoculating e.Coli bacteria into the rabbit’s unilateral ureteral lumen and ligation.Na hs was used as an exogenous hydrogen sulfide donor to observe the effects of hydrogen sulfide on utis.The protective effect of oxidative stress and inflammatory response in acute kidney injury with hyperemia.In the experiment, the production of endogenous hydrogen sulfide was decreased in the sepsis group, and the renal cse activity was decreased, while the content of endogenous hydrogen sulfide in the na hs group was higher than that of the sepsis group, and the cse activity of renal tissue was increased.It can be seen that the plasma hydrogen sulfide and renal tissue sce levels in septic acute kidney injury increased after na hs intervention, and the renal tissue damage was reduced, suggesting that hydrogen sulfide is mainly generated endogenously through the action of cse, which causes damage to the kidneys.The expressions of i nos and ho‐1 in renal tissues of urinary sepsis are increased.H2s can play a certain protective effect on acute kidney injury in urinary sepsis by down‐regulating i nos and up‐regulating the expression of ho‐1.

Journal: Journal of Sensors (2021)
Publication types: Research Article;
Application to Biomedical Data: Using the Topp Leone Inverse Lindley Model

A more flexible two‐parameter model named the topp leone inverse lindley model is investigated.Some basic mathematical properties such as quantile, moments, order statistics, and rényi entropy of the new distribution are considered.Plot analysis for mean, variance, skewness, and kurtosis is performed.The density of the new model can be right skewed and decreasing with unimodal and bimodal shapes.Also, its hazard rate function can be decreasing and upside‐down.The maximum likelihood (ml) estimation method is used to estimate the parameters of the distribution.The simulation study is executed to investigate the effectiveness of the estimates.The potential of the distribution is demonstrated through the application of the real biomedical dataset.

Journal: Journal of Mathematics (2022)
Publication types: Research Article;
Animation Design of Multisensor Data Fusion Based on Optimized AVOD Algorithm

With the development of artificial intelligence, internet of things, machine learning, and many other technologies, animation design task based on algorithm theory has become a research hotspot in the field.In recent years, perception technology has gradually become the key technology of animation design, and it is also the key research content in the current field.Whether the perception system can design animation quickly and accurately is the key of research.Compared with other algorithms, using avod (aggregate view object detection) algorithm for animation design has obvious advantages.The original avod algorithm has some problems, such as low clustering efficiency, insufficient depth of feature extraction network, and occupying a large amount of memory.Based on this, this paper proposes to use the google net network and initial model of k-means++ to extract features and establish an optimized avod algorithm.At the same time, in order to illustrate the effectiveness of the optimization method, two typical cases are introduced to provide scientific guidance and reference for the research in this field.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Analyzing the Performance of Machine Learning Techniques in Disease Prediction

The history of data stored can be used to forecast potential patterns and help companies make competitive decisions to increase their success and benefits.Many analysts look at healthcare sector data to identify and forecast illnesses in order to benefit patients and physicians in a variety of ways.This study is concerned with the diagnosis and estimation of heart disease.Heart disease is one of the most dangerous illnesses for humans, leading to death all over the world.Many different groups of researchers have used knowledge exploration methods in diverse fields to forecast heart disease and have shown acceptable degrees of precision.There were no real-time methods for analyzing and forecasting heart disease in its early stages.For the prediction of heart disease, decision trees are used to analyze various training and evaluation datasets.Classification algorithms such as naive bayes, id3, c4.5, and svm are being investigated.The uci machinery heart disease data set is used in experimental studies.

Journal: Journal of Food Quality (2022)
Publication types: Research Article;
Analysis of the Effect of Rational Emotional Intervention Combined with Hierarchical Management Mode on Improving the Psychological Stress of Emergency Nurses and Trainee Nurses

To explore the effect of rational emotional intervention combined with hierarchical management mode on improving the psychological stress of emergency nurses and trainee nurses.Methods.50 emergency nurses who worked or practiced in our hospital from june 2019 to may 2021 were selected as the research object.From june 2019 to may 2020, our hospital adopted the traditional management mode.From june 2020 to may 2021, our hospital adopted the rational emotional intervention combined with hierarchical management mode.The psychological state, work stress, stress response, job burnout, and sleep quality of emergency nurses were compared before and after intervention.Results.Compared with before intervention, the scores of self-rating anxiety scale and self-rating depression scale, the work stress scores, the maslach burnout inventory score, the pittsburgh sleep quality index score of emergency nurses decreased after intervention ( p &lt; 0.05 ).Compared with before intervention, the stress coping scores of emergency nurses increased after intervention ( p &lt; 0.05 ).Conclusion.The rational emotional intervention combined with hierarchical management mode can improve the psychological pressure of emergency nurses and trainee nurses, reduce job burnout, improve stress coping ability, and improve sleep quality.

Journal: Emergency Medicine International (2022)
Publication types: Clinical Study;
Analysis of Sleep Quality and TCM Constitution Characteristics in 258 Outpatients: A Cross-Sectional Study Based on Outpatient Cases

To explore the correlation between traditional chinese medicine (tcm) constitutions and insomnia by studying the distribution characteristics of different tcm constitutions in an outpatient insomnia population.Methods.From november 2020 to march 2021, 258 patients in the outpatient department of the traditional medicine department of tongren hospital were interviewed using some questionnaires (athens insomnia scale and constitution of traditional chinese medicine), and correlation analysis was conducted.Results.The participants consisted of 152 (58.91%) insomniacs and 106 (41.09%) noninsomniacs.The top four biased constitutions of the insomniac population (the same patient may have two or more constitutions simultaneously), as determined from the proportions of constitutions in ascending order, are as follows: qi deficiency constitution, 95 cases (62.50%); yang deficiency constitution, 85 cases (45.95%); blood stasis, 70 cases (37.84%); and qi stagnation, 65 cases (35.14%).The results of the spearman correlation analysis showed that the standard scores of qi deficiency, yang deficiency, blood stasis, and qi stagnation were positively correlated with the total score of ais ( p &lt; 0.05 ).Conclusion.Insomnia is correlated and the tcm constitution bias, qi deficiency, yang deficiency, blood stasis, and qi stagnation exhibiting the highest correlation.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Analysis of Psychological and Emotional Tendency Based on Brain Functional Imaging and Deep Learning

When facing various pressures, human beings will have different degrees of bad psychological emotions, especially depression and anxiety.How to effectively obtain psychological data signals and use advanced intelligent technology to identify and make decisions is a research hotspot in psychology and computer science.Therefore, a personal emotional tendency analysis method based on brain functional imaging and deep learning is proposed.Firstly, the eeg forward model is established according to functional magnetic resonance imaging (f mri), and the transfer matrix from the signal source at the cerebral cortex to the head surface electrode is obtained.Therefore, the activation results of f mri emotional experiment can be mapped to the three-layer head model to obtain the eeg topographic map reflecting the degree of emotional correlation.Then, combining data enhancement (mixup) with three-dimensional convolutional neural network (3d-cnn), an emotion-related eeg topographic map classification method based on m-3dcnn is proposed.Mixup is used to generate virtual data, the original data and virtual data are used to train the network together, the number of training samples is expanded, the overfitting phenomenon of 3d-cnn is alleviated, and 3d-cnn is used for feature extraction and classification.Experimental data analysis shows that, compared with traditional methods, the proposed method can retain emotion related eeg signals to a greater extent and obtain a higher accuracy of emotion five classifications under the same feature dimension.

Journal: Discrete Dynamics in Nature and Society (2021)
Publication types: Research Article;
Changing Positive Academic Emotions of Art Students Utilizing Computer Information Technology Based on the Perspective of Teaching

This study is aimed at exploring the influencing factors on the altering academic mood of art students.With the assistance of computer information technology, the survey utilizing a questionnaire is conducted to explore the influence of different coping styles on the academic moods of art students when the influence of demographic variables is under consideration.It is concluded that the condition of being the only child of art students has a positive and high arousal emotional score of 80.93, which is significantly higher than that of not being an only-child art student of 78.61.Art students are more inclined to take a positive coping style.The scores of negative and high arousal academic emotions are found to be 79.3, 80, and 96.83, respectively, when the grade changes from 1 through 3.The general trend is that the scores of negative and high arousal academic emotions increase when grades go up.Art students experience more negative academic emotions than positive academic emotions when the general characteristics of art students’ academic emotions are under consideration.Because females are more sensitive and delicate, they experience more negative academic emotions.Besides, while a positive coping style can positively predict art students’ positive academic mood, a negative coping style can positively estimate the negative academic mood.It is concluded that the outcomes could provide a reference for the prediction of academic mood changes in art students.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Application of Image Processing Technology in the Diagnosis of Football Injury

With the hot development of football, sports injuries caused by football have also received special attention.In football games, although there are medical staff on and off the field always on call to protect the safety of players, because of the complexity of diagnosis work, medical staff can easily lead to diagnostic errors due to factors such as fatigue, which seriously affects the condition of athletes.Image processing is a technology that uses computer to process images, which can greatly overcome the uncertain factors brought by manual diagnosis.Based on this, this paper uses image processing technology and pattern recognition as technical means to explore the specific application of image processing in football injury diagnosis.This paper firstly takes football clubs as the main research object and analyzes and explores the specific utility of image segmentation and feature recognition in sports injury image processing.Then, starting from the relevant image features, the paper analyzes and compares the sensitivity of support vector machine pattern recognition and neural network pattern recognition in football injury diagnosis.This article comprehensively summarizes the application of image processing technology in the diagnosis of football injuries and puts forward constructive suggestions for its subsequent development.Experiments show that the effect of pattern recognition is often different for different injury parts of football.Among them, the sensitivity of pattern recognition based on image processing can reach 68.9%, and the detection rate of football injuries can also be maintained at about 81.2%.This fully shows that image processing technology can play an active role in the actual football injury diagnosis, and provide very valuable information for clinical diagnosis.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Computational Intelligence and Things Technology-Based Collection and Design of Inheritance Characteristics of Tea Product Packaging Art Form

In view of the core process data such as temperature and humidity of the tea product packaging process and the automatic control operation parameters of the production line, this paper designs a smart tea product packaging 5g internet of things gateway system, which realizes the 5g internet of things onsite monitoring and remote monitoring of the tea product packaging production line equipment.The design and implementation of the 5g internet of things gateway system are divided into three aspects, namely, 5g internet of things gateway configuration design, data communication protocol conversion.First, the 5g internet of things gateway configuration is to design the relevant control information of the tea processing production line equipment and complete the configuration storage of the plc controller; secondly, the data communication protocol conversion is to pass the modbus/tcp opc standard to transfer the collected 5g internet of things.The sensor data undergoes unified standardized conversion, and then the standardized converted data is sent to the database and server using the mqtt protocol; the data processing of the 5g internet of things gateway system is the design of the internal data of the 5g internet of things gateway.Finally, the test was carried out and the results were obtained, which proved that the designed 5g internet of things gateway system is useable, reliable, has good stability and scalability, and provides an important solution for the construction of smart tea product packaging in the industry.The tea product packaging system based on 5g internet of things technology compiles electronic production management files for tea garden production, tea picking, tea processing, tea packaging and other links in accordance with the requirements of the national agricultural product quality and safety related systems and industry standards, and has become the traceability of tea quality the recorded important production management information provides important information support for the traceability of the whole process of tea.

Journal: Journal of Mathematics (2022)
Publication types: Research Article;
An Overview of DNA Methylation Indicators for the Course of Oral Precancer

Dna methylation is a physiologically epigenetic alteration that happens when a methyl group is introduced to a cp g dinucleotide in the gene-regulating sequence of dna.However, the majority of oral cancers have a well-defined precancerous stage; there are few clinical and morphological parameters for detecting and signalling the progression of precancerous to malignant tumours.Dna methylation forms are dynamic and reversible, allowing them to adjust to environmental or therapeutic changes.We did an extensive investigation to compile the data supporting aberrant dna methylation forms as a possible biomarker for prediction.According to two longitudinal studies, p16 hypermethylation was considerably higher in precancerous lesions that progressed to cancer than in lesions that shrank.Most of the studies examined for this study were tiny cross-sectional research with scant validation and inadequately specified control groups.Existing evidence suggests that dna methylation sequences can be relevant as a diagnostic biomarker for ops development; however, sample size and research design restrictions make it difficult to draw definitive conclusions.Strong studies, including extensive epigenome-wide methylation scans of ops with longitudinal monitoring, are necessary in this study in order to corroborate the recently discovered signals and discover new risk loci and disease progression molecular pathways.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Review Article;