syedzayyan/paper_mill_benchmark huggingface dataset:
Application of Computer-Based Simulation Teaching Combined with PBL in Colorectal Tumor Hemorrhage

This paper aims to explore the use of computer-based simulation teaching combined with pbl in colorectal tumor bleeding.Methods.The outpatient department organized 21 nursing staffs to conduct computer simulation combined with pbl teaching, compared emergency theory and skill scores, and investigated the recognition of computer simulation teaching combined with pbl.Results.The scores of theoretical knowledge examination before training were (84.31 ± 6.39) and (92.59 ± 2.93) after training; the scores of treatment skills examination were (85.69 ± 6.15) and (95.43 ± 2.88) after training; the scores of comprehensive treatment skills before training were (76.6 ± 6.31) and (91.43 ± 2.3) after training.The results of the questionnaires showed that the nurses were more agreeable to the new teaching methods and were able to complete the tasks in strict accordance with the requirements, ultimately achieving a level of satisfaction with their progress.Conclusion.Computer simulation teaching combined with pbl can deepen general practitioners’ understanding of knowledge, improve practical ability, and provide a clinical basis for improving patient resuscitation in specialized oncology hospitals.

Journal: Emergency Medicine International (2022)
Publication types: Research Article;
Application of Low-Intensity Laser in the Treatment of Skeletal Muscle Injury in Runners

With the continuous improvement of people’s economic level, running, as the most common sports, is not limited by sports venues and sports levels and deeply loved by people.However, during running, soft tissue resonates with the impact force, increasing the load on joints and tendons and potentially leading to sports injuries.The purpose of this article is to study the application of low-intensity laser in the treatment of muscle strain.This article analyzes running, muscle adjustment, and lower limb stiffness.On the basis of theory, 20 healthy male college students were selected as research objects in the experimental part.The subjects were allowed to run at three speeds: slow, medium, and fast.The kinematics, dynamics, and surface emg signals of the subjects during running were collected to analyze the effect of low-intensity laser therapy on exercise muscle strain.The experimental results showed that a low-intensity laser can effectively alleviate muscle inflammation, reduce the number of cell damage, bring the mean and integral optical density of protein to the normal level significantly, and reduce the strain degree of exercise muscle.In this article, a statistical method was used to obtain the gait cycle time (p &amp; lt; 0.01) and support cycle time (slow p &lt; 0.01 ).

Journal: Emergency Medicine International (2022)
Publication types: Research Article;
Effects of Amiodarone and Esmolol for Heart Rate and Cardiovascular Changes

To probe into the effects of amiodarone and esmolol for heart rate disorders and myocardial infarction.Methods.76 cases of cardiopathy in our hospital from july 2019 to october 2021 were analyzed for myocardial infarction.The control group applied amiodarone treatment.Blood pressure, treatment effect, adverse reactions, myocardial marker levels, electrocardiogram, and heart function indicators were compared.Results.There were no statistical differences in two groups of diastolic pressure ( p &gt; 0.05 ).The analysis of the systolic pressure in the study group was greater than the control group ( p &lt; 0.05 ); the effective rate was higher than that of the control group ( p &lt; 0.05 ); the incidence of adverse reactions in the study group and control group was 28.95% and 31.58%, respectively, and there was no statistically significant difference between groups ( p &gt; 0.05 ).The standards of markers were significantly reduced compared with the control group ( p &lt; 0.05 ).After treatment, the heart rate of the two groups was significantly reduced, and the qt intervals were significantly shortened.But compared with the control group, reduction was larger in the research group ( p &lt; 0.05 ).Compared with the control group, the resolution rate was higher ( p &lt; 0.05 ).After treatment, the two groups of quality of life were significantly increased, and compared with the control group, the increase in the quality of life of the study group was greater ( p &lt; 0.05 ).Conclusion.Application of amiodarone and esmolol joint treatment can improve the quality of life, improve the level of heart function and myocardial marker, and can reduce q-t intervals and prognosis.Therefore, amiodarone and esmolol treatment is worth promoting.

Journal: Emergency Medicine International (2022)
Publication types: Research Article;
Visual Communication Design Model for New Media and Public Health Environment and New Communication Mode

When we examine the development history of visual transmission design, we can see that media technology application and visual transmission design innovation are frequently intertwined.The relevant work outcomes attained during the process of art design practice typically exhibit the traits of dynamic and dynamic performance with a clear degree of expression, against the backdrop of the practical advancement and widespread use of developing media technology.In light of the influence of new media art, it is essential to understand the development trend of art design in order to perform well in visual transmission design.The audience will be given access to more varied and richer visual transmission information thanks to the wise deployment of multimedia techniques.This work develops a three‐dimensional picture reconstruction algorithm based on the visual transmission phenomenon.The relative error, matching degree, and signal‐to‐noise ratio were chosen as evaluation indices.Three sets of tests were conducted to determine how noiseless image, noisy image, and various sampling frequencies affected the quality of the reconstructed image.The testing results demonstrate that the three‐dimensional picture rebuilding system has a 22.34% higher antinoise ability and has a significantly superior overall effect than the conventional three‐dimensional image rebuilding system.It offers greater practical application value and does a decent job of keeping image details and edges.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
Automatic Text Summarization for Public Health WeChat Official Accounts Platform Base on Improved TextRank

With the rapid development of we‐media information dissemination, we chat official accounts platform has become an important way for people to obtain health related knowledge.However, the platform information is redundant, miscellaneous, and overloaded.In order to meet the increasingly accurate and efficient knowledge service needs of users, reorganizing and aggregating document knowledge resources is effective.If we use the way of artificial recognition to filter information, it will inevitably cause huge labor and time cost, and the effect is very little in front of massive articles.This paper proposes a text summarization method for the we chat platform based on improved text rank that takes into account both user demands and sentence features during the summarization process.The data source crawled from the sogou we chat platform.The results show that the text rank algorithm has obvious hints on the accuracy of text summarization extraction after fusing the word2vec model.The improved text rank method, integrating user demands and sentence features into the model, makes the results of text summarization closer to the theme of the article and more able to meet the user demand.According to the complexity of the algorithm, this method is not suitable for the automatic summarization of long or multiple documents.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
Monitoring and Path Selection of Rural Public Service Environment Based on Data Mining Technology in the New Era

The basic public service infrastructure in rural regions now has a lot of issues and flaws, which results in a low efficiency of basic public service delivery and substantially impedes the growth of the rural social economy and the enhancement of farmers’ quality of life.Building a smart platform for monitoring the rural public service environment, realising the growth of rural areas, creating a new socialist countryside holistically, and ensuring the sustainable, stable, and healthy development of rural society are all of great strategic importance under the new circumstances.This essay explores ways to further encourage the development of rural public service platforms.In order to choose the best course of action for rural public services in the new era, this study studies the practical problem of rural public services and, using dm (data mining) technology, mines the user characteristics of public service platforms.The experimental findings demonstrate that the algorithm’s accuracy is 94.38%.With the use of this technique, rural public services may efficiently mine user characteristics and offer specific technical support in the modern day.Decision‐makers from all walks of life have an extraordinary desire for information concealed in huge amounts of data in the information age.The advantages of combining the two are becoming more widely recognised.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
Emotional Cognitive Expression in Lacquer Colors Based on Prior Knowledge

Since lacquer painting first appeared in the world of art, research into it has grown steadily.People have developed a keen interest in modern lacquer painting as a result of the extensive study of lacquer culture in both domestic and international academic circles.Many artists and art enthusiasts have contributed significantly to the study and research of lacquer painting and have made helpful attempts at modern lacquer painting.But it is challenging to describe the emotion that a lacquer painting’s color conveys.This paper presents a decision‐making framework for emotional cognitive learning based on the theory of emotional cognitive evaluation because there are relatively few researchers who have specifically studied the relationship between the creation of lacquer paintings and emotions and because there are also few research materials and documents for reference.The assessment of an emotional state is the central component of this framework.The observation module in the model framework is used to gather the emotional data that the lacquer painting expresses.The issue of emotional expression in lacquer painting is resolved by the emotional evaluation system, which combines the preprocessed information with prior knowledge to evaluate.The importance of affective cognitive expression in lacquer painting and the necessity of affective computing in the fields of machine learning and decision control is obtained on the basis of discussing the research status and content of affective cognition and affective computing.The efficiency of expression was increased by 1.3 percent as a result.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
Research on the Cultivation of College Students’ Innovation Ability and the Development of Self-Survival Innovation Team from the Perspective of Green Ecology

Self-survival innovation teams composed of college students are considered incubators for future entrepreneurs.Stability is the prerequisite for team survival, while sustainable development is the necessary condition for their continuous progress.The development of members and the team are interrelated.In the continuous development of the team, the members, who contribute to the development of the team, change iteratively, while the team provides opportunities and platforms for the development of the members.However, at present, there are few researches on the sustainable development of the team and the data analysis on the correlation between the member development and the team construction.Therefore, in order to make a systematic analysis on the sustainable development ability of the team, this paper adopts questionnaires to obtain relevant information about college students and their innovation team.Spss software (25.0) is used to make statistical analysis on the current development of college students’ individual ability and innovation team.Based on this, the paper puts forward analysis strategies for the personal development of college students and the construction of self-survival innovation team.

Journal: Discrete Dynamics in Nature and Society (2021)
Publication types: Research Article;
Influencing Factors of University Core Competence: An Empirical Study Based on the Entropy Weight Gray Relation Model

To measure the gray relation between the core competence of research universities and its influencing factors, this paper took the same period statistical data of the five research universities directly subordinate to the ministry of education of china as the research samples, all these five schools were shortlisted in the “world top 300” rankings of usnews, qs, the, and arwu from 2014 to 2018, and the indicator systems of the four authoritative lists were taken as the basis; 30 representative indicators affecting the core competence of research universities were selected, and the gray relation model was adopted for the research; moreover, this paper applied the information entropy method to calculate the weight of each indicator and estimate the comprehensive gray relation between the core competence of research universities and the entire factor system.This research gives the rankings of the influencing factors of the core competence of research universities, and there is a 0.8485 degree comprehensive gray relation between the influencing factors and the core competence of research universities, which has further clarified the future development direction of research universities.

Journal: Discrete Dynamics in Nature and Society (2021)
Publication types: Research Article;
Modeling the Empowerment Mechanism of Knowledge Collaboration from the Perspective of Platform Affordances

In the digital economy era, knowledge platforms have both the functions of knowledge collaboration and social media.At the same time, how to promote knowledge collaboration through platform empowerment is getting more and more attention.Since there are few types of research on how to realize the micromechanism of platform empowerment, the purpose of this paper is to take knowledge platforms as an example to study the conceptual system of platform affordances based on the social-technical perspective.Through the theoretical integration of technological empowerment and authorization empowerment, this paper provides new perspectives and future themes for explaining the platform empowerment mechanism of knowledge collaboration.As for the method, the deductive research approach is adopted in this paper.First, through the critical literature review, the gaps in platform empowerment research have been identified.Second, from the analysis of the characteristics of knowledge platforms such as wukong q&amp;a and zhihu, the relationship between platform affordances, platform organizational characteristics, and customer needs has been explored.In the final, according to knowledge platform characteristics, the conceptual system of platform affordances has been deduced.The result shows that through integrating organizational theory, knowledge management theory, and platform ecological viewpoints, the main components of the affordances of knowledge platforms have been summarized.In addition, the relevance of those components to the functions, interfaces and rules of the platform system has been illustrated, and the corresponding relationship between the affordances of the platform and the main components of authorization empowerment has been established.With regard to the implication of this study, it establishes the theoretical connection between technological empowerment and authorization empowerment and provides a more intuitive and operable method for platform empowerment of knowledge collaboration through the perspective of social-technical interaction.This paper emphasizes that starting from the mission of the platform, the stickiness of the platform can be enhanced by building platform affordances.In addition, extensive development ideas that purely pursue internet traffic and capital need to be avoided, which is conducive to the high-quality development of knowledge platforms and the digital economy.Furthermore, this paper calls for more research on the affordances and empowerment mechanism of the platform to provide theoretical guidance for the highly unified practice of platform organizational characteristics, platform system characteristics, and target customer needs, so as to develop a more active and meaningful platform knowledge management field.

Journal: Discrete Dynamics in Nature and Society (2021)
Publication types: Research Article;
Wheat Futures Prices Prediction in China: A Hybrid Approach

Stocks markets play their financial roles of price shocks and hedging just when they are proficient.The imperative highlights of productive market are that one cannot make extraordinary profit from the stocks markets.This research investigates whether china wheat futures price can be predicted by employing artificial intelligence neural network.This would add to our knowledge whether wheat futures market is resourceful and would enable traders, sellers, and investors to improve cost-effective trading strategy.We utilize the traditional financial model to forecast the wheat futures price and acquire out of sample point estimates.We additionally assess the robustness of our outcomes by applying several alternative forecasting techniques such as artificial intelligence with one hidden layer and autoregressive integrated moving average (arima) model.Furthermore, the statistical significance of our point estimation was further tested through the mariano and diebold test.Considering random walk forecast as the bench mark, we used a number of economic indicators, trader’s expectation towards futures prices, and lagged value of futures price of wheat in order to forecast the evaluation of wheat futures price.The computable significance of out of sample estimations recommends that our ann with one hidden layer has the best anticipating presentation among all the models considered in this exploration and has the estimating power in foreseeing wheat futures returns.Furthermore, this investigation discovers that the futures price of wheat can be predicted, and the wheat futures market of china is not productive.

Journal: Discrete Dynamics in Nature and Society (2021)
Publication types: Research Article;
Incentive Measures for Agricultural Nonpoint Source Pollution Control of Farmers Based on Choice Modelling: A Case Study on the Water Source Region of Xin’an River Reservoir

In water governance, the government, downstream residents, and upstream farmers are closely associated stakeholders.The participation willingness of upstream farmers directly bears on the success of environmental policies.Xin’an river reservoir water protection zone is the second water source region of hangzhou, china.Taking this region, for example, this paper surveys the willingness to accept compensation of local rice farmers, mainly using choice modelling (cm) methodology.This paper assesses the farmers’ willingness of minimum compensation amount to adopt various ecological compensation means and, on this basis, discusses the key factors determining their willingness to accept compensation.It helps to confirm that the farmer participation mainly depends on whether the government could provide satisfactory compensation incentives to cover farmers’ losses.Hence, at the ending of the paper, we call for the relevant departments of the government fully understanding the farmers’ willingness to accept compensation before formulating compensation policies, so that the compensation at least reaches the minimum requirements of farmers.Only in this way could the water source region achieve the optimal efficiency in environmental governance.

Journal: Discrete Dynamics in Nature and Society (2021)
Publication types: Research Article;
Application of Heterogeneous Network Oriented to NoSQL Database in Optimal Postevaluation Indexes of Construction Projects

With the advent of the internet web 2.0 era, storage devices used to store website data are developing at an ever‐increasing high‐growth rate and a diversified trend.The focus on the structured data storage model has reduced the responsiveness of traditional relational databases to data changes.No sql database is scalable, has a powerful and flexible data model and a large amount of data, and has an increasing application potential in the memory field.Heterogeneous networks are composed of third‐party computers, network equipment, and systems.Network types are usually used for other protocols to support other functions and applications.The research on heterogeneous networks can be traced back to the barwan project that started in 1995 at the university of california, berkeley.The project leader rhkatz merged multiple types of nested networks for the first time to form heterogeneous network requirements for various future terminal services.Construction engineering refers to an engineering entity formed by installing pipelines and equipment that support the construction of various houses and ancillary facilities.“house construction” refers to projects with roofs, beams, columns, walls, and foundations that can form internal spaces to meet people’s needs in production, living, learning, and public activities.Among them, the engineering evaluation index is a statistical index used to evaluate and compare the quality and effects of social and economic activities through the use of equipment, such as capital turnover rate and employee labor efficiency.It is the exchange of corporate performance evaluation content and the expression of corporate performance evaluation content.

Journal: Discrete Dynamics in Nature and Society (2022)
Publication types: Research Article;
Peptide ARHGEF9 Inhibits Glioma Progression via PI3K/AKT/mTOR Pathway

The most prevalent malignant tumor in a human brain nervous system is called glioma.Peptide is a compound formed by the peptide bond of α-amino acids, and the development of polypeptide drugs has been widely used in many fields.We plan to investigate the underlying peptides with clinical value in glioma.Method.Based on public databases, we targeted the common genes between glioma differentially expressed genes (degs) and peptide genes related to glioma prognosis.Then, these common genes were analyzed by lasso-cox analysis, prognostic risk model, and nomogram to identify key prognostic peptide genes and the target gene in this study.Next, the mechanism of target gene in glioma was explored by bioinformatics analysis and functional experiments.Results.We obtained a total of 26 overlapping genes for the following study.After that, 6 independent prognostic factors (repin1, psd3, rdx, cdk4, fanci, and arhgef9) were obtained and applied to construct the prognostic nomogram, and arhgef9 was the target gene in the study.Next, peptide arhgef9 was found to inhibit glioma cell development.Through spearman’s correlation analysis, arhgef9 had a close relation with pi3k/akt/m tor pathway.In functional experiments, peptide arhgef9 could suppress the protein expressions of p-pik3k, p-akt and p-m tor, while igf-1 could reverse this effect.Conclusion.This study identifies 6 new prognostic biomarkers for glioma patients.Among them, peptide arhgef9 gene is an inhibitory gene functioning by targeting pi3k/akt/m tor pathway.

Journal: Disease Markers (2023)
Publication types: Research Article;