syedzayyan/paper_mill_benchmark huggingface dataset:
Construction of a Large Visual Landscape Design Platform considering Low-Carbon Environmental Protection Based on Nanomaterials

Due to the diversity of design data, the display effect of landscape design is not ideal.Based on the analysis of the requirements of low‐carbon landscape design, this paper constructs the hardware condition based on the data acquisition sensor, digital controller, image scanner, data storage device, and power control device and carries out delaunay triangle netting for the terrain data preprocessed, reduces image shaking by introducing discrete elevation, and improves the image clarity by matching and optimizing the seed points of edge correlation to achieve high‐quality visualization of landscape design.The test results show that the design platform can show the design effect completely and clearly.

Journal: Journal of Nanomaterials (2022)
Publication types: Research Article;
Conservative Therapy vs. Endovascular Approach for Intracranial Vertebrobasilar Artery Trunk Large Aneurysms: A Prospective Multicenter Cohort Study

Intracranial vertebrobasilar trunk large (≥10 mm) aneurysms (ivbtlas) are rare and challenging to manage.In this study, we describe the natural prognosis and evaluate the safety and efficacy of endovascular treatment of ivbtlas compared with conservative therapy.Methods.This prospective multicenter cohort study included patients with ivbtlas, who chose either endovascular treatment (endovascular group) or conservative therapy (conservative group) after discussion with their doctors.The primary endpoint was the incidence of serious adverse events (saes) related to the target vessel, while secondary endpoints included target vessel-related mortality, major stroke, other serious adverse events, and aneurysm occlusion rate.Results.In total, 258 patients were referred to our two centers for the management of vertebrobasilar aneurysms, and 69 patients had ivbtlas.Among them, 51 patients underwent endovascular treatment, and 18 patients received conservative therapy.The incidence of target vessel-related saes was 15.7% (8/51) in the endovascular group and 44.4% (8/18) in the conservative group ( p = 0.031 ).The target vessel-related mortality was 2.0% (1/51) in the endovascular group and 38.9% (7/18) in the conservative group ( p &lt; 0.001 ).The cumulative survival rates in the endovascular group and conservative group within 1-year, 3-year, and 5-year were 98.0% vs.83.3%, p = 0.020 ; 98.0% vs.66.7%, p = 0.001 ; and 98.0% vs.35.6%, p &lt; 0.001 , respectively.Multivariate analysis revealed conservative therapy, giant aneurysm, and ischemic onset as risks factor for saes.Conclusions.Compared with conservative treatment, endovascular treatment of the ivbtlas may be associated with a lower incidence of saes, with higher 1-year, 3-year, and 5-year survival rates.Conservative therapy, giant aneurysm, and ischemic onset were associated with a high risk of saes.

Journal: Oxidative Medicine and Cellular Longevity (2022)
Publication types: Research Article;
Chrysophanol Ameliorates Hemin-Induced Oxidative Stress and Endoplasmic Reticulum Stress by Regulating MicroRNA-320-5p/Wnt3a Pathway in HT22 Cells

Oxidative stress, endoplasmic reticulum (er) stress, and neuronal cell apoptosis have been considered as the main pathogenesis factors of brain injury after intracerebral hemorrhage (ich).Chrysophanol (chr) has been proved to have neuroprotective effects, but the role and underlying mechanisms of chr in ich remain unclear.Ht22 cells were dealt with hemin to mimic an in vitro ich model and then subjected to treatment with or without chr.The cell viability, apoptosis, er stress, and oxidative stress were evaluated by conducting the cell counting kit-8 (cck-8), td t-mediated d utp nick end labeling (tunel) staining assays, western blot, and corresponding kit, respectively.Further, micro rna-sequencing, bioinformatic analysis, dual-luciferase reporter method, and rescue experiments were conducted to explore the molecular mechanisms of chr alleviating hemin-induced er in ht22 cell.Our data revealed that chr increased cells viability, antiapoptosis, anti-er stress, and antioxidative stress under conditions of hemin-induced ht22 cell injury.Mechanically, it was observed that wnt3a was competitively sponged by mi r-320-5p, and chr activated β-catenin pathway by regulating mi r-320-5p/wnt3a molecular axis.Finally, results from the rescue experiment suggested that chr inhibited hemin-induced cells apoptosis, er stress, and oxidative stress through regulating the mi r-320-5p/wnt3a axis in ht22 cells.In conclusion, chr prevented hemin-induced apoptosis, er stress, and oxidative stress via inhibiting the mi r-320-5p/wnt3a/β-catenin pathway in ht22 cells.Our results certified that chr could be served as a promising treatment for brain damage following ich.

Journal: Oxidative Medicine and Cellular Longevity (2022)
Publication types: Research Article;
Application of Boiler Optimization Monitoring System Based on Embedded Internet of Things

In order to study the deficiency of tuning pid controller in traditional boiler combustion air system, this paper proposes an embedded internet of things monitoring system and puts forward a method of fuzzy pid controller with the help of nonlinear optimization algorithm to reasonably set the initial value of control parameters.Through the simulation comparison with the traditional engineering tuning pid controller, it is found that when the simulation process is t = 2000 s, the step disturbance with amplitude of 0.1 is added to the system input, and there will be slight disturbance in the combustion process.Through fuzzy pid and strong robustness support, the modeling error of the monitoring system model can be controlled between 10%∼25%, which proves that the nonlinear optimized pid has strong anti-interference and can meet the process requirements of the system.

Journal: Mathematical Problems in Engineering (2022)
Publication types: Research Article;
Using Social Media Data to Explore Urban Land Value and Sentiment Inequality: A Case Study of Xiamen, China

Differences in urban land values affect residents’ living experiences and may contribute to sentiment inequality.Due to the popularity of smart mobile devices and social media platforms, online tweets with location information can be used as objective information to reflect sentiment differences of urban residents in different locations, overcoming the limitations of previous studies with small sample sizes or a lack of spatial information.Sentiment quantification based on deep learning enables the identification of spatial patterns of urban residents’ sentiments.It also provides a new approach for analyzing data from big data platforms using an intelligent computing platform.This paper quantitatively analyzes the sentiment contained in social media tweets using a deep learning sentiment analysis algorithm to reveal inequalities between urban residents’ sentiments and land values.The baidu intelligent cloud sentiment analysis platform is used to identify 460,000 weibo tweets in xiamen, china, in 2020.We quantitatively analyze the positive and negative sentiments of residents and create a spatial distribution map.The concentration curve indicates sentiment inequality and the impact of high land values on residents’ sentiments.The positive sentiment concentration index (ci) and correlation analysis show that the ci value is 0.07, and significant sentiment inequality exists due to the high land value.The use of social media tweet data to analyze sentiment inequality provides a reference for future interdisciplinary research in psychology, urban planning, geography, and sociology.The proposed approach of analyzing social media data using an intelligent computing platform provides new insights into multiplatform data interaction in the context of the internet of everything.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
Three-Dimensional Numerical Simulation of Soil Deformation during Shield Tunnel Construction

In order to effectively control the ground deformation and ground subsidence during subway construction, three-dimensional numerical simulation of soil deformation during shield tunnel construction is proposed.Based on a subway tunnel project, this essay firstly divides the shield construction process into several stages and analyzes the vertical displacement of soil in each stage.Flac 3d was used for three-dimensional finite difference numerical simulation.By comparing the numerical simulation results with the field measured data, the soil settlement caused by shield tunnel excavation is studied deeply.The simulation results show that the maximum settlement value of the monitoring data is 0.59 mm, and the maximum settlement value of the numerical simulation is 0.82 mm, with a difference of 0.23 mm.The maximum value of uplift on both sides of the tunnel is 0.41 mm in monitoring data and 0.29 in numerical simulation, with a difference of 0.12 mm.The maximum settlement value of monitoring data is 2.59 mm, and the maximum settlement value of numerical simulation is 3.05 mm, with a difference of 0.46 mm.The maximum value of uplift on both sides of the tunnel is 0.32 mm in monitoring data and 1.89 mm in numerical simulation, with a difference of 1.57 mm.The settlement value of numerical simulation is slightly larger than that of monitoring data.Conclusion.The simulation can well simulate the state of soil uplift on both sides, and the width of settlement groove is in good agreement with the monitoring data.

Journal: Mathematical Problems in Engineering (2022)
Publication types: Research Article;
The Impact of Digital Technology on the Optimization of Higher Education Teaching Models in an Epidemic Environment

The corona virus disease 2019 epidemic broke out in 2020, and digital technologies pervaded all aspects of people’s lives, resulting in a significant shift in how education is delivered.The importance and role of digital technologies and online learning are highlighted in this paper, which examines the challenges posed by the sudden epidemic crisis to higher education institutions, analyses the factors that universities must consider in order to effectively create flexible learning pathways, and examines the challenges posed by the sudden epidemic crisis to higher education institutions.In the postepidemic era, the use of the internet and online teaching platforms by university faculty to integrate online and offline teaching has not only facilitated the construction of “golden courses” but also added impetus to teaching reform, and digital technology-based teaching models have provided higher education practitioners with the opportunity to rethink scholarship and innovative teaching.In this paper, we propose a personalized learning resource recommendation system that includes user profiles to fully explore and analyze users’ learning behaviors and cognitive characteristics and enhance the depth and breadth of personalized education with the help of the internet and artificial intelligence technologies in order to provide meaningful information and thoughts for higher education institutions to discuss and adapt to the education model in the postepidemic era.The goal is to provide useful information and ideas for higher education institutions to discuss and adapt to the postepidemic education paradigm.

Journal: Security and Communication Networks (2022)
Publication types: Research Article;
The Evaluation of Visual Clarity and Comfort of Light Environment in Multimedia Classroom

In order to clarify the quantitative relationship between students’ visual clarity, comfort, and environmental brightness in the light environment of multimedia classrooms in colleges and universities and obtain the threshold and influence trends of brightness, visual clarity, and visual comfort in the light environment of the multimedia classroom, this paper proposes the research on the relevant influence parameters of the light environment of the multimedia classroom.Based on the analysis of the current situation of multimedia use in china, this paper proposes taking brightness as the main parameter of indoor light environment evaluation to carry out students’ subjective evaluation experiments.The brightness range that can reflect the visual clarity and visual comfort of the experimenter is extracted by using multimedia combined with screen projection and hdri technology.Finally, by analyzing the experimental data, combined with the operational definition of the psychophysical threshold, the functional relationship between visual clarity, comfort, and brightness in the light environment of a multimedia classroom is obtained through regression analysis and the threshold and extreme point data are calculated.The experimental results show that when the brightness range is 370.83 cd/m2 ≤ x ≤ 558.47 cd/m2, it has better visual clarity and visual comfort.When the brightness contrast is close to 10 : 1, the visual clarity is the highest; when the brightness contrast is close to 5 : 1, the visual comfort is the highest and decreases on both sides with the change in its value.Conclusion.The results of this experimental study can provide a basis for formulating and revising relevant laws and regulations in the future and provide a reference for the light environment design of multimedia classrooms in china.

Journal: Journal of Robotics (2022)
Publication types: Research Article;
The Construction of Innovation and Entrepreneurship Incentive Mechanism for College Students Based on Hierarchical Analysis

Innovation and entrepreneurship (i&amp;e) are of great significance to china’s modern economic development, and college students are the most innovative and entrepreneurial potential group.I&amp;e requires college students through the effective combination of various incentive methods on the basis of the individual differences and diversity of college students, so that the i&amp;e enthusiasm of college students can be continuously and optimally exercised.Based on the theory of hierarchical analysis, this paper establishes the evaluation system of the implementation effect of college students’ i&amp;e incentive mechanism by setting the evaluation indexes of the effect of college students’ i&amp;e incentive mechanism, calculates and obtains the weights of each evaluation index, and provides a reference basis for the design of college students’ i&amp;e incentive mechanism.Our experiment demonstrate that the cr values of the judgment matrices calculated are less than 0.1, so the consistency test of the judgment matrix is passed.

Journal: Mathematical Problems in Engineering (2022)
Publication types: Research Article;
Study about Football Action Recognition Method Based on Deep Learning and Improved Dynamic Time Warping Algorithm

Artificial intelligence recognition of human actions has been used in various fields.This article is based on deep learning and improved dynamic time regularization algorithms to study football action postures.This paper proposes a hierarchical recurrent network for understanding team sports activities in image and position sequences.In the hierarchical model, this article integrates the proposed multiple human-centered features on the time series based on lstm output.In order to realize this scheme, the holding state is introduced as one of the external controllable states in lstm, and the hierarchical lstm is extended to include the integration mechanism.Test outcomes demonstrate those adequacies of the recommended framework, which includes progressive lstm human-centred benefits.In this study, the improvement of the reference model in the two-stream lstm-based method is shown.Specifically, by combining human-centered features and meta-information (e.g., location data) into the postfusion framework proposed in the article, the article also proves that the action categories have increased, and the observations enhanced the robustness of fluctuations in the number of football players.The experimental data shows that 67.89% of the postures of football players through this algorithm can be recognized by the improved dynamic time warping algorithm.

Journal: Mobile Information Systems (2022)
Publication types: Research Article;
Research on the Optimization Strategy of Innovation Behavior and Entrepreneurship Intention in Entrepreneurship Teaching

Entrepreneurial intention is a necessary prerequisite for prospective entrepreneurs to start a new business, and today’s college students are the potential entrepreneurs of the future.How to improve students’ willingness to start a business is an important topic that a large number of scholars continue to pay attention to.The purpose of this work is to disentangle how college students’ previous innovative behavior affects their entrepreneurial intention from the view of social psychology.Survey data from a vocational college in china indicate that college students’ previous innovative behavior facilitates flow, which in turn affects their entrepreneurial intention.Our empirical findings flourish the research on antecedents of college students’ entrepreneurial intention, make contributions to the research on flow in entrepreneurship, and provide useful recommendations and suggestions in entrepreneurship teaching.

Journal: Scientific Programming (2021)
Publication types: Research Article;
Research on the Design of a Training Room Management System for Automotive Professionals in a 5G Wireless Network Environment

Education informatization is getting more popular, smart learning spaces are gaining popularity, and students' demands for personalized, convenient, and diverse learning content are becoming more apparent.This study focuses on exploring the design of automotive professional training room management system with 5g technology.On the basis of sorting out the main features of education informatization, it analyzes the technical challenges faced by the design of automotive professional training room management system, starts from three aspects of teaching, teaching and research, and education management, argues and proposes the corresponding 5g automotive professional training room management application scenarios, and forms a general view of 5g education informatization.It will continue to enhance the connotation of educational scenarios, stimulate educational scenario change, and become the primary driving force of innovation in automotive professional education informatization.

Journal: Security and Communication Networks (2022)
Publication types: Research Article;
Research on Agricultural Economic Early Warning Based on Genetic Algorithm and SVM

Agriculture is unique in that the industry is subject to a certain level of uncertainty due to seasonal and other factors, and its risk level is significantly higher than that of other industries.Therefore, it is necessary to establish an appropriate financial early warning model to predict, analyze, and control its financial risks.The article uses a genetic algorithm and support vector machine-based economic forecasting model for agribusinesses to adapt its own pollutant weights in a practical application environment to improve the forecasting accuracy.This model first uses a genetic algorithm to train a feature weight vector of current data so that the weights are adapted to the current prediction problem and then uses this feature weight vector to apply to svm model training.It is found that 62.79% of the listed agricultural companies are in warning status, and their development is not optimistic.The article provides new ideas for the subsequent research on financial warning methods and also expands the boundaries of theoretical research for the research system of financial warning problems and enriches the experience and evidence of practical research.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Nanomaterials for Food and Agriculture in Economic Valuation of the Technology Harvesting Maize Straw for Biogas Production in China

Maize has a tremendous open door, immensely as a biofuel source.The objective reason for this examination is to break down the capacity of maize straw procured under fluctuating climatic circumstances to be used in biogas handling and the effect on different physicochemical components, for the most part, outstandingly the dry mass substance.This information indicates that corn stalks collected in china and eastern europe may exhibit extensive dry matter synthesis.This may be related to prewinter climate change.Regardless of temperature or consistency, corn straws can make incredible (for damp materials) or sublime (for more powdered straws) biogas substrates.With a new mass of methane value of 201207 m 3 /mg, this material is a much better substrate than the corn silage (about 105 m 3 /mg fm) which is definitely used in europe.Corn straws were said to require longer consideration (3642 days) than corn silage (not exactly 30 days).In any case, this distinction is not important, and the biogas plant can remind the manager.

Journal: Journal of Nanomaterials (2022)
Publication types: Research Article;
Three-Dimensional Reconstruction of Cerebrovascular and Algorithm Realization

In the three-dimensional reconstruction of ct cerebrovascular medical image registration, a new optimization algorithm based on the relative position information between the contours of various blood vessels in the image is proposed.Methods.Using the rule that the center of gravity of the vascular tissue structure on the series of slices has continuity, find the registration relationship between the contours of the vessels in the two adjacent slices.Because the shape of cerebrovascular contour is relatively symmetrical, its center of gravity is slightly away from its geometric center.Therefore, the geometric center is used to replace the center of gravity, and the “mass” of each contour is calculated according to the area of each contour to achieve the registration of the blood vessel contour.Results.The method has the characteristics of global optimization and stronger robustness.Conclusion.The cerebrovascular image obtained by this method is more realistic and can be used for the import of various software, simulation training, and later research, which provides an effective method for preoperative simulation of cerebrovascular intervention surgery.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;
Psychological Factors in Training of Basketball Players to Improve Their Shooting Accuracy

The study reveals that technical movements, training level, and physical quality of current athletes have become more and more similar.The game performance of the same level of athletes is very different.One of the most important reasons is psychological quality.The purpose of studying the psychological factors affecting shooting accuracy in basketball games is to improve the shooting accuracy of the player.By using literature, observation, and interview methods, some psychological factors such as emotion, self-confidence, attention, and the mental quality of the players are discussed.This study aims to provide some references for effectively improving the shooting performance of basketball players in the game.Analyzing these psychological factors shows that the victory or defeat of the game depends on the technical and tactical level of the players and it also depends on whether the player can overcome the influence of various psychological factors.Therefore, by training and motivation, the player will not lose confidence.By using systematic and scientific training methods, focusing on body training and psyche, the psychological barriers of athletes will effectively be overcome.It will also allow them to maintain and improve their shooting hit rate.Finally, using the existing approaches, the proposed study uses data mining and inferences to evaluate the psychological factors that affect the training of basketball players to enable them to improve their shooting accuracy.

Journal: Mobile Information Systems (2022)
Publication types: Research Article;