syedzayyan/paper_mill_benchmark huggingface dataset:
Relationship between Green Financing and Investment Logic and Effectiveness Evaluation of Financing Decisions

Green financing diverts more funds to green industries such as environmental protection, and clean energy, enabling the industries to realize structural adjustment.On green financing, the existing studies at home and abroad mainly focus on the definition of concepts and service scope and system construction.There are few attempts to combined green financing efficacy with corporate investment from the angles of investment level, investment efficiency, and investment risks.This paper associates green financing policy with corporate investment, analyzes the logical connection between the two, and thereby evaluates the effectiveness of green financing decisions.Specifically, a decision model was established for the government participation in green financing via green product subsidy, and a solving algorithm was developed for the model.After that, the authors analyzed the correlations of green financing with the investment level and investment efficiency of green enterprises.Next, the effectiveness of green financing decisions was discussed under dynamic operation risks.Finally, the proposed approach was demonstrated through simulation and empirical analysis.

Journal: Discrete Dynamics in Nature and Society (2022)
Publication types: Research Article;
lncRNA DARS-AS1 Modulates TSPAN1-Mediated ITGA2 Hypomethylation by Interaction with miR-194-5p Thus Promoting Ovarian Cancer Progression

Ovarian cancer (oc) is usually called the “silent killer” due to its asymptomatic characteristics until advanced stages, thus being a significant threat to female health worldwide.In this work, we characterized an oncogenic dars-as1 role in oc.Methods.The aggressiveness behaviors of the oc cell model were examined by cck-8 assay, transwell invasion assay, flow cytometry, and immunoblotting analysis of apoptosis-related proteins.Interactions of mi r-194-5p with lnc rna dars-as1 or tspan1 and of tspan1 with itga2 were validated by using a luciferase activity assay and chromatin immunoprecipitation (ch ip) assay.Results.The oc cell model exhibited overexpressed lnc rna dars-as1 compared to normal cells.Lnc rna dars-as1 knockdown led to reduced oc cell growth and metastasis while inducing the apoptosis in the oc cell model.Lnc rna dars-as1 positively regulated tspan1 expression by binding with mi r-194-5p and tspan1-mediated itga2 hypomethylation in oc cells.Further rescue function studies demonstrated that lnc rna dars-as1 affected oc cell viability, migration, invasion, and apoptosis ability by modulating mi r-194-5p and tspan1 expressions.Conclusion.Our work demonstrates that lnc rna dars-as1 promotes oc progression by modulating tspan1 and itga2 hypomethylation by binding with mi r-194-5p.

Journal: Stem Cells International (2022)
Publication types: Research Article;
Global Exponential Stability of Both Continuous-Time and Discrete-Time Switched Positive Time-Varying Delay Systems with Interval Uncertainties and All Unstable Subsystems

The global stability problem for a class of linear switched positive time-varying delay systems (lsptdss) with interval uncertainties by means of a fast average dwell time (fadt) switching is analyzed in this paper.A distinctive feature of this research is that all subsystems are considered to be unstable.Both the continuous-time and the discrete-time cases of lsptdss with interval uncertainties and all unstable subsystems (auss) are investigated.By constructing a time-scheduled multiple copositive lyapunov-krasovskii functional (mclkf), novel sufficient conditions are derived within the framework of the fadt switching to guarantee such systems in the case of continuous-time to be globally uniformly exponentially stable.Based on the above approach, the corresponding result is extended to the discrete-time lsptdss including both interval uncertainties and auss.In addition, new stability criteria in an exponential sense are formulated for the studied systems without interval uncertainties.The efficiency and validity of the theoretical results are shown through simulation examples.

Journal: Journal of Function Spaces (2022)
Publication types: Research Article;
Work Emotion Intervention and Guidance Training Method for Enterprise Employees Based on Virtual Reality

Improper management of employees’ emotions has a great impact on work status and work efficiency, and emotional management has increasingly become a very important part of corporate human resource management.How to adjust the various emotions of employees, so that employees can work in a fuller and more passionate attitude, is a problem that enterprise managers need to consider.From the perspective of employees themselves, a good mood will also bring happiness and satisfaction to life and work.Only in this way can the company and the employees be satisfied with each other and continue to maintain the good development momentum of the company.Method.This paper proposes a new method of using virtual reality scenes to induce human emotions.Based on computer science and psychological cognitive science, a scene library of “virtual reality emotion induction system” is constructed.Emotion induction based on virtual reality scenes has better interactivity and generalization, as well as stronger immersion and user operability.Its emotional arousal is high, the data is reliable, and the interference of environmental factors in the induction process is weakened, and relatively objective emotional data can be obtained.The factors affecting the emotional management of the enterprise are investigated by means of a questionnaire survey, statistics and problems are found, and the objective problems existing in the emotional management work of the company are determined.According to the analysis, the problems are summarized, and it is believed that the company still has certain room for improvement and improvement potential in terms of corporate culture construction, emotional counseling system construction, and human resource career planning.In the research of this paper, through the combination of theory and practice, the enterprise’s emotional management work has been comprehensively analyzed, and the practical problems existing in its emotional management work have been found through questionnaires.Results/discussion.In the field of enterprise human resource management, emotion management is always an eternal topic worthy of our attention.But unfortunately, emotional management has not been given enough attention by managers.Most companies often think that emotions are their own business.Employees should self-regulate, control, and tolerate themselves.They should not bring personal emotions to work and even think that emotional work is unprofessional.This kind of misunderstanding has led to the fact that emotional management has not received due attention and affirmation in many enterprises.

Journal: Occupational Therapy International (2022)
Publication types: Research Article;
Optimization Analysis of Power Coal-Blending Model and Its Control System Based on Intelligent Sensor Network and Genetic Algorithm

Research and optimization of the coal‐blending system can greatly improve the variety diversity and quality stability of finished coal.However, the existing research on the coal‐blending system has some defects, such as fuzzy ash content of coal‐blending warehouse products and excessive error of the coal‐blending ratio determined by artificial experience, which brings many disadvantages and difficulties to the efficient and stable production of the coal preparation plant.The genetic algorithm and intelligent sensor network are relatively advanced technologies at present.Therefore, the optimization analysis of the coal‐blending model and its control system based on the intelligent sensor network and genetic algorithm has become a research hotspot.This paper first introduces the basic theory of the genetic algorithm and intelligent sensor network and their application in coal‐blending research, then establishes an optimized dynamic coal‐blending model based on the intelligent sensor network and genetic algorithm, and analyzes its application effect.The research results show that the coal quality prediction model can be mined from coal quality data and coal‐blending data by using the genetic algorithm and ideas, and the monitoring system based on the intelligent sensor network can monitor the abnormal state anytime and anywhere.Compared with the traditional coal‐blending method, the average error is 3.33%, and the accuracy is improved by 4.82%.

Journal: Journal of Sensors (2023)
Publication types: Research Article;
Long non-coding RNA ARAP1-AS1 promotes tumorigenesis and metastasis through facilitating proto-oncogene c-Myc translation via dissociating PSF/PTB dimer in cervical cancer

Long non‐coding rna (lnc rna) is emerging as a pivotal regulator in tumorigenesis and aggressive progression.Here, we focused on an oncogenic lnc rna, arap1 antisense rna 1 (arap1‐as1), which was notably upregulated in cervical cancer (cc) tissues, cell lines and serum.High arap1‐as1 expression was closely associated with larger tumor size, advanced figo stage as well as lymph node metastasis.Importantly, it was identified as an effective diagnostic and prognostic biomarker for cc.In vitro and in vivo assays showed that knockdown of arap1‐as1 inhibited, while overexpression of arap1‐as1 promoted cc cell growth and dissemination.Stepwise mechanistic dissection unveiled that arap1‐as1 could directly interact with psf to release ptb, resulting in accelerating the internal ribosome entry site (ires)‐driven translation of proto‐oncogene c‐myc, thereby facilitating cc development and progression.Moreover, c‐myc was able to transcriptionally activate arap1‐as1 by directly binding to the e‐box motif located on arap1‐as1 promoter.Taken together, our findings clearly reveal the crucial role of arap1‐as1 in cc tumorigenesis and metastasis via regulation of c‐myc translation, targeting arap1‐as1 and its related regulatory loop implicates the therapeutic possibility for cc patients.

Journal: Cancer Medicine (2020)
Publication types: Research Article;
Optimization and Simulation of Virtual Experiment System of Human Sports Science Based on VR

Virtual reality technology is an emerging technology developed on the basis of information technology.It is widely used in military, medical, mining, entertainment, and other fields.Therefore, many countries have been vigorously conducting research in recent years.As one of the important components of the virtual reality system, the three‐dimensional human motion tracking system is of great significance to the research of practical virtual reality systems.It introduces the measurement principle of the spatial three‐dimensional coordinate dynamic measurement device and discusses in detail the ultrasonic transmission, reception, amplification, filtering, comparison, shaping circuit, and single‐chip interface circuit.This paper introduces the working principle and characteristics of the virtual experiment system and gives the structure diagram, hardware schematic diagram, and software flow diagram of the system.We mainly study the method of tracking human motion by measuring the three‐dimensional coordinates of the space point, which lays a good foundation for the research of the actual three‐dimensional motion tracking system.At the same time, the three‐dimensional human body modeling is discussed, and the interactive movement policy of the human arm is briefly introduced.It has a certain effect on the actual virtual reality human‐computer interaction system.

Journal: Complexity (2021)
Publication types: Research Article;
Buffett’s Value Investment Theory Based on Improved DCF Model

With the development of global economy, the investment theory of capital market needs to be further developed in order to provide investors with various references in the process of value investment.Value theory is very important for international investors.Since graham put forward the theory of value investment, he has always emphasized the importance of discounted cash flow model (dcf model) in investment evaluation.Therefore, the dcf model has great influence on investment.In order to provide some domestic investors with value-added analysis methods when investing, we will investigate the practical theory of improving the dcf model in extreme environment.Based on the theory of value investment, time series analysis is introduced to improve the dcf model.The improved dcf model can estimate the original value of an enterprise by combining the factors that affect the change of enterprise value.In the research of securities investment, considering that the existing dcf model based on the american capital market has some shortcomings in domestic capital market, it needs to be improved.To forecast the future cash flow, the time series analysis method should be used instead of the sales ratio method.American investor warren buffett’s philosophy and practice of value investment have been paid attention to and studied by the world.Value theory is a series of famous theories put forward by graham and applied and developed by buffett.By combining the improved dcf model with buffett’s personal business experience, this paper analyzes and summarizes the relevant contents of buffett’s value investment theory based on the improved dcf model and puts forward some suggestions worthy of reference for chinese investors.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
Design and Implementation of Scientific Management and Engineering Intelligence Based on Multivariate Analysis

This paper takes the intelligent engineering as an example and uses the work breakdown structure (wbs) tool to decompose the intelligent engineering into specific subsystems and describe each subsystem.In the field of intelligent engineering construction, it is impossible to ensure that the construction project will not be changed.To reduce scope changes, efforts can be made in three aspects: first, to accurately locate project requirements and find enough work to be done; second, to scientifically define the scope of the project and delete unnecessary work; and third, to effectively control scope changes.Ensure that all work is done to achieve the project goals.This paper starts from the actual project management experience, conducts a comprehensive summary and refinement, proposes key strategies and methods for project scope management, and puts forward the following points of view.Intelligent design should be completed by professional design agencies, and intelligent construction should be completed by professional construction teams.There should be standards for intelligent acceptance to follow.Hope this article will be helpful for project managers.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
Deep Learning Algorithm in Biomedical Engineering in Intelligent Automatic Processing and Analysis of Sports Images

In order to improve the detection and identification ability of sports injury ultrasound medicine, a segmentation method of sports injury ultrasound medical image based on local features is proposed, and the research on the sports injury ultrasound medical detection and identification ability is carried out.Methods of the sports injury ultrasound medical image segmentation model are established; the sports injury ultrasound medical image information is enhanced by using the sports skeletal muscle block matching technology; the image features are extracted; and the characteristics of sports injury ultrasound medical images are analyzed by ct bright spot feature transmission.In detail, combined with the deep convolutional neural network training method, the extracted sports injury points are automatically detected for sports injury ultrasound medical images, and the sports injury ultrasound medical image segmentation is realized.The simulation results show that this method has high accuracy for sports injury ultrasound medical image segmentation, the error value can be controlled below 0.103, and finally, the effect of zero error is achieved.It is confirmed that the method proposed in this paper has high resolution and accuracy for sports injury point detection and has strong practical application ability.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
Research on 3D Jewelry Design Based on Virtual Reality Technology

The existing three-dimensional jewelry design method has the problem of imperfect three-dimensional display model, which leads to a high product wastage rate.A three-dimensional jewelry design method based on virtual reality technology is designed.From the perspective of diversified production needs, the jewelry production and processing process is obtained.Cnc plate making is adopted to identify the technological characteristics of plane elements.The digital three-dimensional model is taken as the design carrier, and the three-dimensional display model is constructed by virtual reality technology.Experimental results.The average product loss rate of the three-dimensional jewelry design method in this paper and the other two three-dimensional jewelry design methods were 5.523%, 8.043%, and 8.237%, respectively, indicating that the performance of three-dimensional jewelry design method is more perfect after the combination of virtual reality technology.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
Development Model of Rural Governance in Internet Plus in the New Era

With the advent of the internet era, the brand-new concept of “internet plus” is promoting the innovation of rural governance mode through unprecedented technical means.“internet plus governance” is the only way to realize the modernization of grass-roots governance, and it is also a technical means that grass-roots governments are trying to use at present.It not only meets the basic needs of the broad masses of the people but also closely combines democratic governance with people’s happiness as the foothold of modern grass-roots governance.It not only realizes people-oriented humanistic care but also embodies the ruling policy of governing the country according to law.However, at present, villagers’ ability and awareness of participating in rural governance and using “internet plus” are weak, and the government’s planning and design of rural governance in “internet plus” are not systematic, and the investment related to rural governance has not been implemented.Based on this actual situation, this paper analyzes the problems existing in rural governance under the background of “internet plus” and the causes of these problems and puts forward corresponding countermeasures to prevent and solve the potential crisis of rural grass-roots governance, explore a sustainable way to keep close contact between democratic governance and people’s happiness, and provide effective reference materials and practical enlightenment for rural revitalization and grass-roots democratic governance.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
Research on Enterprise HRM Effectiveness Evaluation Index System Based on Decision Tree Algorithm

In order to explore the application analysis of the decision tree algorithm in enterprise hrm effectiveness evaluation, we discuss data mining, decision tree algorithm, and decision tree model construction.In view of the continuous growth of big data information in the information age, we use the mean clustering algorithm, expert system algorithm, and decision tree algorithm to verify the accuracy and time efficiency of enterprise hrm effectiveness.Finally, it is considered that the application of the decision tree algorithm of data mining not only is in line with the enterprise hrm efficiency evaluation but also can promote the integration and effective allocation of human resources and transform the generated decision tree algorithm into classification rules, which has been widely studied and applied, and finally has important strategic significance for the development of enterprises.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
Comparing Traditional Commerce to E-Commerce and IoT and the Understanding of Trust for the Consumer

The scenario has changed during the last few years.Introducing an “e” in front of another function in the organization appears to be the golden formula for a never-ending meteoric rise.The development of e-commerce is due to this huge transformation.It is an internet-based commerce system that allows you to purchase and sell things electronically.It is the technology’s most important application.It lowers the transaction expenses associated with buying.It benefits the globalization.It also cuts minimizing the amount of hours spent buying.Commerce is defined as an activity of buying and selling without the use of any communications technology aid.Despite all of the aforementioned characteristics of e-commerce, conventional commerce in india has not loosened its grip on the market.Consumers choose between the two types of commerce based on their preferences.However, the question arises as to which of the two methods of purchase is more trusted by the majority of buyers.To understand customer confidence in the two types of commerce, this study, entitled “comparative study of e-commerce and commerce related to customer trust,” provides information about the economic situation in which we are tracking ourselves.Provide.While establishing trust in an electronic commerce system is more troublesome than it is in friendly buying, it is significantly more basic for success.Trust is a drawn-out asset that is hard to earn and simple to lose.The aim of this work is to propose a novel conceptual framework for consumer purchasing trust that emphasizes the stages involved in establishing online customer trust.The interactions between consumers, suppliers, and referees that must occur prior to moving from one stage to the next from one stage of trust to the next this model can assist us in better understanding cybertrust.Provide techniques for business owners to gain customer trust, and point them in the right direction in the future fact checking in this effective technological field.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
Research Design of Fashion Elements Identification of Clothing Based on Decision Tree Algorithm and IoT

Attributable to challenges of social event enormous volumes of material area information in a setting of less mining research, foreseeing the qualities of articles of clothing turns into a significant open issue which gets increasingly more consideration from the materials research local area.In this exploration work, the field of data mining endeavors to anticipate clothing insurance factors completely plan on understanding the computational individual of learning.Qualities of dress learning are being explored as a methodology for settling on the decision and utilization of getting ready data and their outcomes.It is seen from the results got by experimentation that the linear regression hushes up engaging as a result of adequacy as far as high forecast rate and linear regression can find the dress protection execution in a most proficient way in contrast with any remaining inclining calculations tested.

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