syedzayyan/paper_mill_benchmark huggingface dataset:
Personalized Recommendation of Rural Tourism Based on Traffic Classification and User Data Analysis

Recently, with the development of global agricultural industrialization, modern agriculture has the functions of improving the quality of the ecological environment and providing people with the functions of sightseeing, leisure, and vacation.How to take the user as the center and combine the user’s personalized characteristics to offer the rural tourism products they need has become a research problem with real-world application value and challenge.In this context, this study develops an intelligent recommendation model by extensively analyzing the contents of rural tourism information platforms and product recommendation factors, as well as a rough set algorithm and traffic classification.To minimize the attributes of rural tourism product information and extract the core attribute, an attribute reduction approach based on a different matrix is implemented.Moreover, user interest similarity is computed and ranked to recommend rural tourist products.In addition, a personalized tourism attraction recommendation model is presented based on geographic area and period.The model achieved the highest average accuracy of 0.87%.The relevant experimental test results reveal that the system can provide accurate recommendations and services for rural tourism products.

Journal: Security and Communication Networks (2022)
Publication types: Research Article;
Online Simulation of Illustration Patterns Based on Digital Art Design

Illustration art is an important part of graphic design, and is an intuitive means of artistic expression.Based on the gradual development of social networks and modern illustration art, digital illustration technology has become the main means of expression in modern graphic design.Starting from the basic concept of illustration art in the digital age, this study analyzes the application of digital illustration art and promotes the innovative development of the artistic expression of graphic design in china.This study will combine the traditional chinese painting language with digital illustration creation in an inquiry-based manner, optimize the standard genetic algorithm, verify it through experimental simulation, and find that the model is more innovative based on the original model.This study provides a certain theoretical basis for the development of digital illustration in china and has a certain propaganda effect on the traditional chinese painting language.

Journal: Mobile Information Systems (2022)
Publication types: Research Article;
Modified Trabeculectomy versus Glaucoma Drainage Implant Surgery: A Retrospective Comparative Study for Refractory Glaucoma Treatment

To observe and compare the efficacy of modified trabeculectomy (te), ahmed drainage valve implantation (agv), and ex-press glaucoma shunt for refractory glaucoma (rg).Methods.The study population of this retrospective study comprised 73 patients (76 eyes) who were suffering from rg and treated with modified te, agv, and ex-press glaucoma shunt in our hospital from october 2012 to october 2020.The number of cases who underwent modified te, avg, and ex-press glaucoma shunt was 36 (38 eyes).19 (20 eyes), and 18 patients (18 eyes), respectively.The intraocular pressure (iop), best-corrected visual acuity (bcva), postoperative antiglaucoma medications, filter bubble morphology, anterior chamber depth (acd), successful rate, and postoperative complications were recorded and statistically analyzed preoperative and 1 d, 1 w, 1 mon, 3 mon, 6 mon, and the end follow-up after operation.Results.The bcva differed insignificantly among the three cohorts before and 6 months after surgery.Compared to preoperative bcva, the postoperative bcva of the three groups had no statistical significance.An obvious reduction in iop was observed in all the three group after operation ( p &lt; 0.05 ).An obvious decrease in antiglaucoma medications was observed after surgery in all the three groups ( p &lt; 0.05 ).The agv group showed deeper acd postoperatively, while no marked difference was found in postoperative acd in the other two groups.The total success rates in modified te and agv groups were slightly higher than those in the ex-press group.The three groups differed insignificantly in filter bubble morphology after operation.Conclusion.Modified te, agv, and ex-press glaucoma shunt showed equivalent efficacy for rg, which could validly reduce iop and postoperative antiglaucoma medications.However, the success rates of modified te and agv were slightly higher than those of ex-press glaucoma shunt in the last follow-up, and their complications were slightly less than those of the ex-press glaucoma shunt.

Journal: Oxidative Medicine and Cellular Longevity (2022)
Publication types: Research Article;
Ming-Style Furniture Display Design Based on Immersive 5G Virtual Reality

No matter the traditional ming-style furniture is made of exquisite materials, elegant, and simple, or the literati philosophy, connotation, and literati spiritual outlook, values, world outlook, etc.Reflected behind it, all have left us with excellent cultural heritage.As a fast-developing technology, virtual reality has a bright future.This paper mainly studies the ming-style furniture display based on immersive 5g virtual reality technology.Ming-style furniture displays design prototype system development based on user experience.The prototype of the guided design drawings is completed, the ming-style furniture and display space is modeled in unity3d, interactive elements are added, and finally it is realized that users can roam in the scene from a first-person perspective and the furniture in the scene, color, material, etc., as well as the detailed display of the items in the scene, the control of the lights in the scene, the control of the sound, and so on are changed.After the establishment of the system, a certain user evaluation is performed on the established system.Questionnaire surveys, focus group interviews, and other methods are used to conduct very detailed investigations and usability tests on users.Then, the test results are realized and the system is optimized to a certain extent.Finally, the user experience of the system design is improved.The experimental survey results show that the average user experience score is 43.7 points and the rating is in the “good” range, which basically meets the user experience.This research plays an important role in improving user experience and at the same time enriches the research in the field of domestic furniture virtual display and has certain significance for the future development of furniture companies.

Journal: Security and Communication Networks (2022)
Publication types: Research Article;
Measurement of Trade Export Level Based on Computer Simulation Technology

This study uses computer simulation technology to process trade export data and real demand to create a trade export level measurement model based on computer simulation technology in order to enhance the measurement impact of trade export level.Moreover, this paper analyzes the classic complex network model, combines the trade export level measurement model to improve the algorithm, and builds the trade export level system with the support of the improved algorithm.In addition, this paper combines a complex network model to construct an intelligent model that can be used for trade level measurement.The model can perform an intelligent analysis of multiple factors and can evaluate the level of trade from the actual situation.Finally, this paper verifies the algorithm model of this paper through experimental research.From the research results, it can be seen that the method proposed in this paper has certain effects.

Journal: Security and Communication Networks (2022)
Publication types: Research Article;
Low-Carbon Awareness Information Technology of Enterprise Executives Based on Big Data and Multimodal Information Fusion

The so-called multimodal information refers to the information from different information sources on different or the same side of the same description target.These pieces of information are different in terms of storage structure, representation, semantic connotation, credibility, and emphasis, but there is a certain inevitable connection between them.This paper aims to study how to analyze and study the low carbon of enterprises with the help of multimodal information fusion based on the background of big data and construct the evolutionary neural network of the improved adaptive genetic algorithm.This paper puts forward the problem of low carbon in enterprises, which is based on multimodal information fusion, and then elaborates on the concept and related algorithms of multimodal information fusion.Information fusion has carried out case design and analysis.Through the research and analysis of enterprise low carbon and self-adaptive algorithm, it can be obtained that the neural network has reached the threshold of 3.95 after iterating for nearly 60 generations, and stopped iterating to obtain the best individual.The evolutionary neural network in this paper reaches stability after a small number of iterations and can basically achieve a certain low carbonization.

Journal: Mobile Information Systems (2022)
Publication types: Research Article;
Life Prediction Model of Wooden Structure Based on Artificial Intelligence Algorithm

The ancient wooden structure in china is a precious architectural cultural heritage in history, which has high cultural and artistic value.However, due to the influence of its own material structure and the long-term preservation and maintenance process, due to long-term loads, earthquakes, fires, man-made damage, etc., ancient buildings have suffered more or less damage, which may cause sudden failure of the structure, which seriously affects the safety of the building structure.Therefore, the research on the prediction of the life of ancient wooden structures has guiding significance for sustainable development.This paper studies the life prediction of ancient buildings and introduces artificial intelligence algorithms.By comparing the old and new of the ancient building with the damage of the various structures of the ancient building, and using a variety of methods to find a more accurate method to predict the life of the ancient building, through various aspects of research and comparison, we have discovered the variation of wooden columns and beams.The coefficients are 22.97% and 22.54%, which affect the service life of wooden members.The residual strength ratios of the compressive design strength and flexural design strength of the new material and the old material are 60.42% and 26.67%, respectively.

Journal: Mobile Information Systems (2022)
Publication types: Research Article;
Influencing Factors of College Students’ Sports Cognition Based on DM Technology

College students are the pillars of the country’s future construction, shouldering the historical mission of building the motherland and rejuvenating the nation, forming a good habit of scientific exercise during school, and laying a good physical condition for social work in the future.When their life is more closely related to sports, they will have higher and more specific requirements for the use of sports.In college students’ sports cognition, the main influencing factors are to improve athletes’ competitive level.The most direct and effective way is to strengthen training.China’s dm technology is the concentrated expression of multidisciplinary knowledge, and the scope of technology is also relatively wide.At this stage, china’s dm technology adopts many extremely intuitive expressions to convey the beauty of technology.For example, the tree structure is a special expression of dm technology.This article studies the influencing factors of college students’ sports cognition based on data mining (dm) technology.What is more related to china’s dm technology is the unique regularization of the influencing factors of college students’ sports cognition.To a large extent, this trend is the data standard of china’s sports industry.It can be seen that china’s dm industry also has the characteristics of diversification.According to the characteristics of china’s dm technology, the current advanced expenses are enough to supplement the related technical weaknesses, and further technical strengthening can be carried out on this basis so that china’s dm technology will gradually develop towards specialization.

Journal: Security and Communication Networks (2022)
Publication types: Research Article;
Development of Intelligent CAD Technology for New Longitudinal Shell-Side Heat Exchange Equipment

In order to correct the errors of “periodic full-section calculation model” and “unit flow channel model,” the author proposes a numerical simulation method of a longitudinal flow shell-side heat exchanger based on cad.The numerical simulation of the fluid flow and heat transfer characteristics of the three-blade orifice plate heat exchanger is carried out by using fluent software, and the “periodic full-section calculation model” and “unit flow channel model” are established, as well as the calculation results of comparative analysis.Experimental results show the following: with the increase of the inner diameter d of the heat exchanger shell, the calculation results of the two models are gradually reached.When d &gt; 800 mm , the error of the calculation results of the two models has been reduced to about 10%; at this time, the “unit flow channel model” has practicability and applicability.When d ≤ 800 mm , the correction algorithm of the “unit flow channel model” is proposed, and the correction correlation formula of the pressure gradient and convective heat transfer coefficient is given.The revised results of the simulation can not only meet the engineering needs but also save computer resources and improve the calculation efficiency, which provides a theoretical basis for the development, improvement, and further industrial application of the “unit flow channel model” of the longitudinal shell-side heat exchanger.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
Deep Learning BP Neural Network Guided Evaluation of Students’ Innovation and Entrepreneurship Education

With the promotion and development of the “internet+,” the computer major has become a hot major in innovation and entrepreneurship education.It is more and more necessary to carry out the refined differences between majors.This is a training issue, but not an employment issue.It has become a major measure for the development of international education.The international vocational training system of “three combinations and five drives” has been established and implemented.In february 2020, the state department of higher education issued the key work points of the department of higher education of the ministry of education in 2020.The document makes it clear that it must be implemented in the whole process of talent training.Bp neural net model will be a brand-new research and development idea.By constructing a scientific and reasonable training assessment index system, the efficiency of computer professional technology training can be improved.Taking the development of computer specialty as the main research objective, this paper firstly establishes the evaluation index system of computer specialty for the first time, then makes a scientific evaluation of computer specialty by using bp neural net model and then carries out an empirical study of innovative employment mode through the evaluation index system and makes an empirical quantitative analysis.It is expected to be an effective basis for the social policy research of developing computer specialties.

Journal: Journal of Robotics (2022)
Publication types: Research Article;
Construction of Machine Learning Model Based on Text Mining and Ranking of Meituan Merchants

In the web 2.0 era, the problem of uneven quality and overload of online reviews is very serious, and the cognitive cost of obtaining valuable content from them is getting higher and higher.This paper explores an effective solution to address comment overload by means of information recommendation in order to improve the utilization of online information and information service quality.This paper proposes a review ranking recommendation scheme that focuses on the information quality of reviews and places more emphasis on satisfying users’ personal information need.The paper’s approach is used to extract and rank low-frequency keywords that appear only once in the comment set.The more useful the extracted phrases are, the more useful this review will be and the higher the usefulness votes will be, which can reflect the actual situation of this product more objectively and accurately and facilitate better consumption decisions for consumers.The experimental results show that users’ satisfaction with the perceived usefulness of the reviews is jointly influenced by the information quality of meituan’s reviews and users’ individual information needs; the recommendation strategy achieves the organic integration of the two, and the evaluation results under three different recommendation modes show that compared with “interest recommendation” and “utility recommendation,” the satisfaction score of “fusion recommendation” is the highest

Journal: Scientific Programming (2021)
Publication types: Research Article;
Construction Model of E-Commerce Agricultural Product Online Marketing System Based on Blockchain and Improved Genetic Algorithm

To build an agricultural product network marketing system in the era of e-commerce, it is necessary for agricultural product business enterprises or farmers to recognize the benefits of using e-commerce to market agricultural products and face up to its influencing factors and to build a support system, application system, and guarantee system with the support of the government to promote agricultural product e-commerce marketing to obtain healthy development.In this study, we study the construction mode of e-commerce agricultural product online marketing system based on the end of blockchain and improved genetic algorithm.This study adopts the design idea of coalition chain and proposes a multichain agricultural product trading information blockchain application technology including agricultural product trading information chain, user information chain, and agricultural product information chain.The agricultural product information chain provides detailed information of agricultural products and ensures the traceability and non-tamperability of the information.It automatically divides the profits of transactions through smart contracts to improve execution efficiency and reduce transaction costs and finally establishes a transparent, efficient, and applicable blockchain architecture for agricultural product transactions.

Journal: Security and Communication Networks (2022)
Publication types: Research Article;
Characterization of the Prognostic Values of CXCL Family in Epstein–Barr Virus Associated Gastric Cancer

Cxcl family is a class of secreted growth factors signaling through g-protein-coupled receptors, and abnormal expression is associated with the growth and progression of many tumors.However, their prognostic value has been poorly studied in epstein–barr virus- (ebv-) associated gastric cancer (ebva gc).Therefore, it is of great significance to explore the prognostic value of the cxcl family in ebva gc.Methods.Cxcl family m rna expression was analyzed in stad data from the cancer genome atlas (tcga).Kaplan-meier plotter was used to assess the prognostic value of the cxcl family.Transcription factors (tfs) and mi rnas associated with the cxcl family were identified by tfcheckpoint, mi rwalk, and vi rbase databases.The prognostic model was evaluated using the ebva gc patient cohort gse51575.Results.The m rna expression of cxcl1/3/5/6/8/9/10/11/16 was significantly upregulated, while the expression of cxcl12/14 was downregulated in ebva gc compared with normal tissues from tcga-stad.The m rna expressions of cxcl9, cxcl10, cxcl11, and cxcl17 in ebva gcs were higher than those in ebvn gcs, but the m rna expressions of cxcl6, cxcl12, and cxcl17 were lower than those in ebvn gcs.The m rna expression levels of cxcl9, cxcl10, and cxcl11 in ebva gcs were higher than those in ebvn gcs regardless of the tumor stage.High m rna expression of cxcl8 was associated with better os in patients with ebva gc, while high expression of cxcl9 was associated with better os in patients with ebvn gc.We obtained 10 candidate potential transcription factors (tfs) associated with cxcls: otop3, nkx6-2, nkx2-2, fev, smyd1, trimso, tbx10, cdx1, slc26a3, and arc.576 mi rna-m rna interactions were obtained.Among them, 65 mi rnas were predicted to be correlated with cxcl6, cxcl9, cxcl10, and cxcl11.Similar to the results of tcga-stad, the gse51575 dataset also showed that the m rna expression levels of cxcl1/3/9/10/11/16 were markedly enhanced in ebva gc tissues compared with corresponding normal gastric mucosa tissues, while the m rna expression levels of cxcl12/14 were significantly reduced.The m rna expression levels of cxcl3/9/10/11/13/17 were increased in ebva gc compared with ebvn gc tissues.Conclusions.The expression differences of cxcl family members are closely associated with the progression of ebva gc.Expression of cxcl9/10/11/17 m rna may be a promising prognostic indicator for ebva gc patients.

Journal: Oxidative Medicine and Cellular Longevity (2022)
Publication types: Research Article;
Career Recommendation for College Students Based on Deep Learning and Machine Learning

With the popularization of higher education, china’s higher education has moved from the stage of elite education to the stage of universal education, and the number of graduates is also increasing.At present, college students are facing tremendous pressure on employment.One is the huge number of jobs, the other is the difference in professional needs, and the third is the spread of job information, which makes it difficult for college students to find a job that suits them.In order to solve this dilemma, this paper analyzes the related technologies and in-depth basic theories of data mining.After introducing several traditional recommendation algorithms, the traditional convolutional network method is improved from three aspects: activation function, pooling strategy, and loss function.Finally, using the hybrid convolutional neural network, a career recommendation model for college students based on deep learning and machine learning is proposed, and simulation experiments are carried out on it.The main research work is as follows: (1) a hybrid convolutional neural network is proposed, which uses convolution operation to learn high-level features to achieve personalized employment recommendation; (2) the training optimization strategy of the hybrid convolutional neural network is studied, aiming at the activation function, pooling processing, and loss function, and the feasibility of the optimization method is verified through simulation experiments; (3) finally, according to the evaluation index of the recommendation algorithm (recall rate and f1-score), the recall rate of the algorithm in this paper is nearly 15% higher than that of the dnn model.The experiment is compared with the traditional commonly used recommendation algorithm, and the comparative analysis of the experimental results proves the effectiveness of the algorithm for the employment recommendation of college students.

Journal: Scientific Programming (2022)
Publication types: Research Article;