syedzayyan/paper_mill_benchmark huggingface dataset:
Quantitative Detection of Amino Acids and Carnitine in Human Blood and Quality Control of Peptide Drugs

In order to deal with the biochemical metabolic disorder and the lack of end metabolites caused by hereditary metabolic diseases, a quantitative detection method of amino acids and carnitine in human blood and the quality control method of polypeptide drugs were proposed.First, a method for the detection of 10 amino acids and 32 acylcarnitine metabolites in human blood was established and analyzed by liquid chromatography tandem mass spectrometry.Through the experimental research on typical peptide drugs, combined with the classical synthesis process and the pls-da model of human body in different regions, the relevant detection methods for the quality control of peptide drugs were established, which provided a reference for the formulation of peptide drug quality standards.The experimental results show that the quantitative detection method proposed in this paper can effectively detect the content of most amino acids and acylcarnitine.The classical detection method achieved a loss of 16.74% smaller mass-to-charge ratio, and based on this, the quantitative standard for polypeptide drug delivery was determined, which verifies the correctness and superiority of the detection method in this paper.

Journal: Journal of Chemistry (2022)
Publication types: Research Article;
Application Value of NT-proBNP Combined with NLR in Evaluation of Major Adverse Cardiac Events in Elderly Patients with Chronic Heart Failure

To explore the application value of n-terminal pro-b type natriuretic peptide (nt-pro bnp) combined with neutrophil-to-lymphocyte ratio (nlr) in evaluation of major adverse cardiac events (maces) in elderly patients with chronic heart failure (chf).Methods.50 chf patients admitted to the department of cardiovascular medicine of our hospital from january 2021 to december 2021 were selected as the observation group.Another 50 non-chf patients of our hospital were selected as the control group.Clinical data were collected from subjects who met the inclusion criteria, including general information, personal disease history, and laboratory test indicators.Patients with chf were followed up for 6 months.Patients with chf were divided into two groups, mace group and non-mace group.Results.The levels of wbc, neu, nlr, and nt-pro bnp in observation group were higher than those in control group, but the level of lym was the opposite ( p &lt; 0.05 ).The age, wbc, neu, lym, plt, blood glucose, nlr, and nt-pro bnp of mace group and non-mace group were significantly different ( p &lt; 0.05 ).The increased levels of neu, nlr, nt-pro bnp and the decreased levels of lym and plt are all independent risk factors for mace in elderly patients with chf ( p &lt; 0.05 ).The auc of nlr in evaluating the occurrence of mace in elderly chf patients was 0.841.When the youden index was 0.7692, the sensitivity was 76.92% and the specificity was 100.00%.The auc of nt-pro bnp in evaluating the occurrence of mace in elderly chf patients was 0.705.When the youden index was 0.5260, the sensitivity was 76.92% and the specificity was 75.68%.The auc of nt-pro bnp combined with nlr in evaluating the occurrence of mace in elderly chf patients was 0.954.When the youden index was 0.8420, the sensitivity was 92.31% and the specificity was 91.89%.Conclusion.Nt-pro bnp combined with nlr has high value in the evaluation of mace in elderly chf patients and can be used as an auxiliary predictive index in clinic.

Journal: Emergency Medicine International (2022)
Publication types: Research Article;
Monitoring of Nitrogen Transport Data in Pear Leaves Based on Infrared Spectroscopy

In order to better monitor the data of nitrogen transport in pear leaves, a method based on infrared spectroscopy was proposed.The near-infrared reflection spectrum imaging technology is used to collect the leaf scale spectral image of the target crop.Computer image analysis software is used to process the spectral digital image and extract the spectral data.After statistical analysis, the data are selected as variables.Combined with the chemical analysis test results, the crop nutrition detection model is established, and the conclusion is drawn.The experimental results show that the band gray data involved in the model are scaled and reorganized according to the coefficient proportion by using envi through the band calculation command.The final gray image, the original image, and the gray image in the process default to the three-channel analog image of the band (the wavelengths of the bands are 1446, 1373, and 1304 nm, respectively); 944 nm gray image; 1043 nm gray scale image; 1662 nm gray image; (0.102r944 +0.103r1 043 +0.206r1662)/(0.102 + 0.103 + 0.206) grayscale image with signal scaling according to the scale of model coefficient.It is proved that infrared spectroscopy can effectively monitor the data of nitrogen transport in pear leaves.

Journal: Journal of Chemistry (2022)
Publication types: Research Article;
Chemical Characteristics of Coil Heavy Metal Elements and Ecological Security Risks Caused by Fertilization

In order to investigate the effects of fertilization on soil chemical characteristics and ecological security, the chemical characteristics and ecological security risk analysis of heavy metal elements in a certain soil caused by fertilization were proposed.The contents of ni, v, cr, as, cd, pb, zn, and hg in 1,065 surface soil samples collected in a district of a city in the southwest agricultural area were tested and analyzed.Multivariate statistical analysis and spatial analysis were used to clarify the geochemical distribution characteristics of these heavy metals, and the possible main sources were also discussed.The results showed that the eight heavy metals could be divided into three categories.The first category included ni, v, cr, and as, whose content was lower than the background value in beijing.And the distribution was mainly affected by natural factors such as parent materials of soil formation.The second category included cd, pb, and zn, whose average content was higher than the background value.And the content was the highest in residential areas.In addition to the parent material inherited from the soil, the distribution characteristics of these elements were greatly affected by human activities.And cd was significantly more affected by human activities than pb and zn.The third category included hg, and it was inferred that atmospheric deposition was the main factor affecting the distribution of hg.It was concluded that the hakanson method was used to evaluate the ecological risk of heavy metals in soil, and the results showed that the potential ecological risk index was low in the area.

Journal: Journal of Chemistry (2022)
Publication types: Research Article;
Application of Virtual Reality Technology and 3D Technology in Game Animation Production

With the increasing pressure of modern young people, they begin to look for various ways to relax.Among them, game animation makes them immersive and has a low experience cost, which is one of the best ways to relax.Therefore, animation games have been welcomed by more and more young people.However, virtual reality technology and 3d technology have played a huge role in the production of game animation.Therefore, this paper aimed to study how virtual reality technology and 3d technology were applied in game animation production and put forward their advantages.This paper also proposed a method based on virtual reality technology and 3d technology and analyzed the production of game animation.The experimental results of this paper showed that in the survey results of the popularity of the a game, only 56 experiencers thought its effect was good, accounting for 18%.There were 145 experiencers who disliked the a game because they thought the a game was very boring and the game scene was very simple.In the survey results of the popularity of the b game, 222 experiencers liked this game, accounting for 71.6%, and 43 experiencers did not like the b game because they thought the 3d effect of the b game would make them dizzy and uncomfortable.It can be seen that the integration of virtual reality technology and 3d technology into game animation production is more popular, so the research in this paper is meaningful.

Journal: International Transactions on Electrical Energy Systems (2022)
Publication types: Research Article;
Assessing the Impact of the MOOC Learning Platform on the Comprehensive Development of English Teachers at College Level under “Double First-Rate” by Utilization of the SWOT Analysis in Hunan Province, China

This research is to investigate the impact of massive open online course (mooc) learning platforms on teacher development, promote the development and innovation of online learning models under the “double first-rate,” and especially expand the application of the mooc platforms combining language learning with professional development paths.The mooc online learning platform has a problem of a high abandonment rate.This paper first proposes a mooc learning recommendation algorithm based on the learning sequence and similarity distance analysis as well as evaluates its accuracy.Then, the reliability test and the mooc learning recommendation algorithm are used to evaluate the quality evaluation system of english teaching in the mooc utilizing the structural equation model.Finally, the strengths, weaknesses, opportunities, and threats (swot) are determined to analyze the impact of the mooc regarding the english teaching platform on teachers' comprehensive development.The results show that the mooc platform-based learning recommendation algorithm has higher recommendation accuracy and efficiency, improving the learning effect with the utilization of the mooc.Also, it can effectively reduce the abandonment rate and has a positive effect of resolving the interaction problem pertinent to characteristic differences and sequences in the learning recommendation.The quality evaluation system of online english teaching in the mooc has higher reliability and convergent validity, which shows better stability and consistency in all dimensions.If teachers can actively learn from the resources of the mooc platform, then they continuously update teaching concepts, improve online teaching, give full play to their language advantages, accurately locate student needs, and develop unique courses.Therefore, it will promote the overall development of their careers and improve innovation.

Journal: Journal of Advanced Transportation (2022)
Publication types: Research Article;
Considering the Characteristics of Traffic Risk Factors and the Method of Establishing a Flexible Traffic System

With the acceleration of urbanization and the development of the automobile industry, the contradiction between the traffic capacity of existing urban roads and the growing traffic demand has become increasingly acute.Traffic congestion is becoming increasingly prominent.The purpose of this article is to consider the characteristics of traffic risk factors and to study the method of establishing a flexible traffic system.It can relieve traffic congestion and provide a smooth and orderly traffic environment using intelligent transportation systems to control and direct traffic flow.Based on the large urban road network, this research uses the theory of coordinated control and learning mechanism, fuzzy control, dynamic reprogramming, and other theories to study phase sequence, balance peripheral load, and overall traffic flow.It also uses on-board sensors to optimize the collection and processing of network information, decompose traffic guidance work, select the optimal route, and autonomously guide the intelligent transportation system.Under the flexible demand scheme, the average load of the trunk road is reduced by a larger degree, which is 4% lower than that of the fixed demand scheme.At the same time, the average load of the branch has increased more, which is 4% higher than that of the fixed demand scheme.It can be seen that under the elastic demand scheme, the distribution of traffic flow in the road network is more balanced and the optimization effect of relieving traffic pressure on trunk roads and improving the utilization rate of branch roads is more significant.

Journal: Journal of Advanced Transportation (2022)
Publication types: Research Article;
Research on the Style of Art Works based on Deep Learning

In view of the unsatisfactory effect and major limitations of the style transfer of art works, this paper takes chinese ink painting for the research subject.The obvious texture characteristics of chinese ink painting are selected as the input of the cycle generative adversarial network (cycle gan) model builder, and the relativistic evaluator is employed to improve the model loss function and the adversarial loss function.An improved art style transfer method of the cycle gan model is proposed.The experiment shows that the improved cycle gan model is efficient and feasible for style transfer.Compared with the traditional cycle gan model, the proposed model performs better in gan train and gan test, with a higher average pass rate, which is an increase of nearly 10%.At the same time, with the increase of the number of iterations, the training time of the improved model is close to that of the original model, but the image of the improved model training is larger, which shows that it has more advantages.

Journal: Journal of Advanced Transportation (2022)
Publication types: Research Article;
Improved Multiple Lyapunov Functions of input-to-output Stability and input-to-state Stability for Switched Systems

This paper investigates the lyapunov characterizations of input-to-output stability (ios) and input-to-state stability (iss) for nonlinear switched systems.The restriction on the negativity of derivatives of lyapunov functions is relaxed; additionally, subsystems are not restricted to be iss/ios throughout the state space.These problems are overcome by a newly proposed method, which extends multiple lyapunov functions (mlfs) to an indefinite form.Indefinite multiple lyapunov functions (i mlfs) are proposed on the basis of an inequality to estimate the upper boundary of the system state.Moreover, we apply the i mlfs method to verify the extended notions of ios in a switched system.More relaxed sufficient conditions for iss and ios are proposed, a simulation experiment is carried out on a numerical example of the system, which demonstrates their effectiveness and superiority.

Journal: Journal of Advanced Transportation (2022)
Publication types: Research Article;
Conservation and Development of Residential-Type Historical and Cultural Blocks in Guangzhou under Subjective Evaluation

Historical and cultural blocks not only carry numerous cultural heritages but always undertake urban functions.As a major driver of urban context construction, historical and cultural blocks have never been abandoned by the times.Regardless of the purposes for which they were built in the first place, all historical and cultural blocks should be extended functionally to rejuvenate them in current and future developments.In particular, in single-functional residential-type historical and cultural blocks, the large numbers of traditional architectures left vacant by out-migrating residents can be redeveloped for other functions.The effectiveness of block conservation and development affects the cultural construction of a city.More importantly, it is closely related to all kinds of users in blocks, as users engage in in-depth interactions with environments and are best able to discover the merits of block conservation and development.Moreover, the conservation and optimal design of historical and cultural blocks must, ultimately, be based on the users’ needs.By collecting users’ subjective evaluation opinions about two typical residential-type historical and cultural blocks based on the existing evaluation index and putting them through quantitative analysis, this paper analyzes block status in many aspects.It identifies focuses on optimization, offering references and suggestions for future development.

Journal: International Transactions on Electrical Energy Systems (2022)
Publication types: Research Article;
The Design of Critical Care Information System Supporting Clinical Decision Based on Deep Learning Recognition Method

In recent years, the clinical decision support system (cdss) has been gradually improved, which effectively reduces the probability of doctors’ misdiagnosis or missed diagnosis.Therefore, the clinical decision support system has always been a research hotspot, deep learning and collaborative filtering technologies are developing rapidly, and more and more are applied to different fields.Based on the deep learning technology, this paper conducts in-depth research on the methods of assisted diagnosis of clinical diseases and prediction of clinical high-risk diseases in the field of cdss.Aiming at the problem of clinical decision support system, this article analyzes the deep learning identification method in depth and is committed to applying machine deep learning to clinical decision-making, changing the lack of information and its challenges to clinical decision-making.Based on previous studies, two unsupervised learning methods based on machine learning are proposed, namely user collaborative filtering and rbm, to improve cdss.The experimental results show that the overall performance of the rbm-based method is the best.When the missing degree of the two data sets is 30.6%, the classification accuracy rate is still more than 92.8%.

Journal: International Transactions on Electrical Energy Systems (2022)
Publication types: Research Article;
A Teaching Model Combining Aesthetic Education and Action Education Based on Cluster Mining under the Background of Big Data

Aesthetic education is an important part of education.However, sports action teaching and aesthetic education are closely combined.This paper discusses the important role of aesthetic education in action teaching through the relationship between action education and aesthetic education.And put forward how to cultivate students’ ability of feeling beauty, understanding beauty, and expressing beauty through various aesthetic education means such as teachers’ aesthetic education ability, optimizing teaching process and beautifying teaching environment.Based on the research of aesthetic education and action education, this paper mainly uses data mining methods, such as statistical analysis and clustering, to further mine the patterns and events obtained before, so as to form a higher level of semantics.From the two directions of motion recognition algorithm and continuous motion segmentation, the feature classification method based on depth and joint data and the segmentation algorithm based on sliding window are studied to achieve the research purpose.In the experimental part, the algorithm is tested and analyzed based on the action data set, and the correctness and effectiveness of the algorithm are verified.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
Employment Data Screening and Destination Prediction of College Students Based on Deep Learning

This paper takes the data of a university graduate as the research object.By consulting various literatures and literature analyses, we can understand the impact of students’ academic performance, english level, and other activities on students’ employment development and select data on this basis.The collected data is cleaned, integrated, and transformed to form a standard data set.The factors affecting graduates’ employment are complex and diverse, with high data feature dimensions, sparse links between features, complex and diverse attributes, and both discrete and continuous features.According to the characteristics of college students’ employment data, this paper uses the deep-seated neural network with strong learning ability and adaptability to predict college students’ employment, so as to provide guidance for college students’ employment.Firstly, based on deep learning and feedforward neural network technology, a prediction model of college students’ employment destination with six influencing factors is established, and the prediction accuracy of the model is evaluated.The acc value and loss value are used as indicators to test whether the prediction effect of the prediction model is good.The results show that the prediction effect of the model is worthy of further research and optimization.Finally, combined with the actual data of graduates, the practical application of the prediction model is analyzed.Compared with the traditional machine learning algorithm, the effectiveness of the algorithm is verified.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
The Construction of the Development Mode of School-Enterprise Cooperation in Higher Vocational Education with the Aid of Sensitive Neural Network

In-depth school-enterprise cooperation can promote the transformation of higher vocational colleges’ school-running concept and talent training mode, deepen the teaching reform of higher vocational colleges, and improve the employment rate of higher vocational colleges.In the context of school-enterprise cooperation, general higher vocational schools face huge challenges and opportunities in employment guidance.Under the school-enterprise cooperation model, the internship management of students during the internship process is a joint management behavior between the school and the enterprise, which is of great significance to deepen the school-enterprise cooperation.This paper changes the traditional analysis mode of school-enterprise cooperation in higher vocational education and applies sensitive neural network to the construction of school-enterprise cooperation development model in higher vocational education.On the basis of the sensitivity of adaline neurons, this paper further gives the definition of the sensitivity of the madaline network structure, deduces the sensitivity calculation of the madaline network structure without too many constraints, and constructs an intelligent model.Through experimental research, we know that the school-enterprise cooperative development model of higher vocational education based on sensitive neural network proposed in this paper has good results.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
Application of Multipopulation Genetic Algorithm in Industrial Special Clothing Design

Industrial special clothing refers to the clothing worn by employees of industrial enterprises and departments in order to dress uniformly, facilitate work, or protect their bodies from external injuries.They have the common characteristics of practicality and identification.This kind of clothing includes many styles, such as uniforms, shirts, jackets, overalls, skirts, aprons, and headscarves, which are also applicable in different fields.For example, the clothing for high-temperature operation requires high temperature resistance and comfort, while the clothing for high-altitude operation requires high clothing strength and can play a protective role.General interactive genetic algorithm only supports single user evaluation.The results can only reflect the preferences of a single user.The product designed by interactive genetic algorithm needs to meet the needs of as many users as possible, and a multiuser interactive genetic algorithm suitable for population design is proposed.The detailed design of three main modules of the algorithm, namely, population initialization module, single population module, and multipopulation module, is given.Finally, the algorithm and the general single user interactive genetic algorithm are applied to the garment design system for comparative experiments.The effectiveness of the algorithm in group design is verified.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;