syedzayyan/paper_mill_benchmark huggingface dataset:
Knowledge Graph Analysis of Digital Emergency Management Research Based on CiteSpace Visualisation: Comparative Analysis of WOS and CNKI Databases

Facing the dual background of risk society and the fourth scientific and technological revolution, digital emergency management (dem) research has attracted wide attention worldwide.Based on the comparative analysis of data from web of science (wos) and china national knowledge infrastructure (cnki) databases, the research draws the knowledge map by cite space, in order to analyse the spatiotemporal distribution, hotspots, and trends of dem research.The following are the results: (1) dem research shows a spiral growth, with a significant increase in the number of papers.Existing highly cited references are mainly carried out from the perspective of management or technology.(2) the complex countries’ cooperation network has been formed from the usa, china, and other countries; the complexity of the institutions’ cooperation network must be strengthened, and the density of the authors’ cooperation network is low; dem research has significant interdisciplinary attributes.(3) the hotspots of dem research can be divided into three categories: means, processes, and objects, but the research emphases between international and china are different.(4) the evolution of dem research can be divided into three stages between international and china: embryonic, development, and deepening stages, and research contents in each stage show some differences.(5) the trends of dem research between international and china are different.The former are information technology, artificial intelligence, and machine learning, whereas the latter are emergency decision making, scenario analysis, and public health.

Journal: Discrete Dynamics in Nature and Society (2022)
Publication types: Research Article;
Analysis of College Students’ Ability to Improve Innovation and Entrepreneurship Based on Constrained Clustering Algorithm

With the expansion of college enrollment, college graduates have continued to expand, and the employment situation has become more and more severe.As a new form of employment, innovation and entrepreneurship are becoming more and more important in college teaching.Entrepreneurial success is crucial.This paper proposes an entropy-based active learning method (alpcs), which is divided into three stages: selection, exploration, and consolidation.The main contents are as follows: in the selection stage, the fuzzy c -means algorithm is used to obtain the membership of all samples, then calculate their shannon entropy, and finally, select the sample with large shannon entropy to generate an information subset (the larger the shannon entropy, the greater the uncertainty, and the more information it contains).The distance-first strategy actively selects samples from the information subset to construct a cluster skeleton cluster.If it is equal to the real number of clusters, it enters the consolidation phase; otherwise, the active learning method stops.In the consolidation phase, sequentially from the information, the nonskeleton set points with the largest uncertainty are selected in the subset to form queries with the points in the skeleton set until the must-link constraint is formed.In this stage, the principle of minimum symmetric relative entropy first is used to reduce the number of queries.The alpcs algorithm is compared and evaluated, and the final experimental results show that the alpcs algorithm has a good performance when the number of queries is large.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
Reconstruction of New Media Art Ecology Based on Intelligent Technology Environment

With the rapid development of modern multimedia technology and internet technology, the traditional media in people’s daily life, including newspapers, magazines, radio, and television, are far less timely and extensive than the new media that use the internet to spread, such as today’s headlines, microblog, tik tok, and net ease news.In the process of its own development, internet new media has gradually derived new media art, which is different from traditional art forms, with the mixture of sound, light, and electricity as the form of expression and the internet as the media.The wide spread of new media art depends very much on the development of the internet.In the early stage, the audience of new media is not wide, such as tianya forum and sina blog.It is only for information exchange and communication with people who use the computer internet.At the same time, the content shared is limited to words and pictures.When the computer internet began to popularize and the mobile network terminal began to develop, new media art immediately sprouted.Starting from instant messaging, tencent qq integrates the strengths of all kinds of new media and promotes the further development of new media art.Standing at the juncture of 2022, after more than ten years of continuous innovation and development, the expression terminal has come from the computer to the mobile phone we use every day.The media has quickly entered the 5 g network from 2g and 3g networks, and the communication path and time have been quite flexible.In addition, ai (artificial intelligence) and other intelligent technologies have begun to enter people’s daily life.The combination of intelligent technology and new media art has brought new media art into another period of transformation and sublimation.This paper will discuss that in the current environment where intelligent technology has begun to be popularized in people’s daily life, new media art achieves the result of ecological reconstruction by innovating and deepening its own characteristics in combination with intelligent technology.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
Subjective Employment Obstacle of College Students and Its Predictor Model Based on Deep Learning

With the development of higher education in full swing, the number of college students in china is increasing, the employment pressure of college students is increasing, and the employment situation in universities is not optimistic.Subjective career obstacles are obstacles that individuals may encounter when they perceive themselves according to their own conditions and surrounding environmental factors based on their future career pursuit and goals.In this paper, it is of practical significance to use the employment confidence index of college students to analyze and predict their employment confidence.Based on dl (deep learning), a model gm-bpnn (gray model-bp neural network) of subjective employment obstacles of college students and its predictive factors is proposed.Initially, the employment data of a university are collected and normalized.Then, gm and bpnn are used to model and predict the number of college students’ employment from different angles.Finally, the weights of the prediction results of gm and bpnn are determined, and the final prediction results of the number of college students’ employment are obtained by weighting.The results show that the relative error of the combined model is smaller and the accuracy is higher.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
On Neutrosophic Extension of the Maxwell Model: Properties and Applications

This work presents the neutrosophic maxwell distribution (nmd) as a novel probability distribution.The proposed model represents a generalized design of maxwell distribution that provides more analytical flexibility for data, including all imprecise observations or some degree of vagueness within the dataset.Important reliability characteristics and distributional properties of nmd are developed under the notion of neutrosophy.The neutrosophic forms of some commonly used functions in applied statistics such as mean, variance, moment generating function, and shape coefficients are explored.In view of uncertainties involved in the processing data and indeterminacy in the defined parameters, an estimation framework using the maximum likelihood approach is established.Additionally, the quantile function is developed to validate the distributional properties of nmd.The efficiency of the neutrosophic estimate has been studied through a monte carlo simulation.Finally, real data on the incubation period of covid-19 are considered for numerical illustration, and further extensions of the nmd for future research works are discussed.

Journal: Journal of Function Spaces (2022)
Publication types: Research Article;
Pingyangmycin Activates Oral Carcinoma Cell Autophagy via the Phosphorylation of the PI3K/AKT/mTOR Axis to Achieve the Purpose of Treating Oral Carcinoma

The aim of the study is to investigate the role of pingyangmycin (pym) in oral carcinoma (oc) cell autophagy via the pi3k/akt/m tor axis.Methods.200 μl pym culture solution with a concentration of 100 μg/ml (low pym (l-pym) group), 300 μg/ml (middle pym (m-pym) group), 500 μg/ml (high pym (h-pym) group), and the same amount of conventional medium (normal control (nc)) were added to the purchased oc cell line scc-25, respectively, and the pi3k/akt/m tor pathway expression, autophagy protein levels, cell activity, and apoptosis rate were determined.Subsequently, we selected oc cells co-cultured with pym with the concentration of the most significant intervention effect and 740y-p, a specific activator of the pi3k/akt/m tor axis, and those treated with 740y-p alone for the aforementioned detection.Results.L-pym, m-pym, and h-pym groups all showed decreased pi3k, akt, m tor, and phosphorylated protein levels ( p &lt; 0.05 ).Beclin1 and lc3-ii protein levels and apoptosis rate of pym-intervened oc cells increased, but the activity decreased ( p &lt; 0.05 ).Under 740y-p intervention, the pi3k/akt/m tor pathway was activated, cell activity was increased, and the apoptosis rate and autophagy were decreased ( p &lt; 0.05 ).Simultaneous use of pym and 740y-p led to no difference in cell condition compared with nc ( p &gt; 0.05 p&gt;0.05).Conclusion.Pym can activate oc cell autophagy by inhibiting the phosphorylation of the pi3k/akt/m tor axis, and thus, achieving the goal of killing tumor cells.

Journal: Emergency Medicine International (2022)
Publication types: Research Article;
Pavement Performance Evaluation of Asphalt Expressway Based on Machine Learning Support Vector Machine

Pavement quality evaluation is important for pavement maintenance and is the basis for maintenance and investment decisions.With the use of asphalt pavements on highways, road maintenance problems are becoming increasingly serious.This paper introduces the prediction and evaluation of asphalt pavement and analyzes the quality evaluation methods of asphalt pavement in terms of damage degree, pavement smoothness, pavement gauge, and pavement strength.Based on this, a pavement quality evaluation based on machine learning, svm, and other techniques is established, and a comprehensive evaluation model based on svm, a set of asphalt pavement performance teaching materials, and a training label determination method are proposed to highlight the importance of highway asphalt pavement quality prediction and evaluation and provide reference for china’s highway construction.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
Hybrid Graph Neural Network Model Design and Modeling Reasoning for Text Feature Extraction and Recognition

Natural language processing is an important branch of deep learning.In particular, the classification of short texts is one of the main tasks of computer linguistics, because it ensures the security of information.Therefore, this paper reviews the text classification methods for the first time, aiming at comparing the modern methods to solve the text classification problems, determine the trend in this direction, and select the best algorithm to be applied to research and business tasks.In this paper, with the help of the emerging algorithm in the field of deep learning, a web domain knowledge text classification method based on feature words is developed with the support vector machine (svm) as the basic classification algorithm.Two datasets representing basic research disciplines and emerging research fields are selected to verify the proposed research framework.Experiments show that the performance of this method is improved by 3% compared with the benchmark method.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
The Framework of a Rural Pension System based on a Mutual Aid Network

At present, there is an increasingly serious phenomenon of rural aging and mutual support for the aged in china.Taking this as the background and opportunity, this paper discusses the feasibility and realization path of the further development of the rural mutual support model based on the results of the field investigation of the mutual support network, including the study of mutual support relationship and spatial network.This paper proposes to analyze the internal mechanism by sorting out the internal driving forces and potential resources of mutual assistance and to construct a framework of rural elderly support system that meets the requirements of the mutual care model for the elderly from the three dimensions of operation, function, and space.It provides a development idea for the study of the elderly support system in the same type of rural areas.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
“Internet Plus” Sports Industry of New Business Development Model

In recent years, with the development of information technology, “internet plus” has become the main way to promote the development of sports industry, and keeping the sustainable development of sports has also become the most challenging topic in the sports field.In order to solve the sustainable development of sports industry, this paper analyzes the problems of traditional sports industry in product types, marketing models and management, and applies “internet plus” to sports industry, forming new industries such as internet broadcasting, intelligent software and hardware, e-commerce, and e-sports, realizing humanized and intelligent products, diversified organizational forms, and innovative management models.Through the connotation and classification of “internet plus sports,” it integrates and analyzes the new format.The results show that the innovative development of new formats can be realized through product and business integration, product positioning optimization, and active industry guidance, and a “high+new” industrial structural development model can be formed.On the basis that the government and market mechanism do not conform to the economic development, through the optimization of collectivized industrial organization, a “collectivized” organizational model has been formed, and a new format of “internet plus” sports industry has been constructed.The research results have laid a solid theoretical foundation for the development of “internet plus sports.”

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
Route Planning of Health Care Tourism Based on Computer Deep Learning

With the continuous improvement of people’s living standards, the form of tourism is gradually changing.In the past two years, people’s demand for tourism has also changed from traditional ornamental tourism to wellness tourism, which has provided a development opportunity for rural tourism.At the same time, the government has also begun to focus on the development of tourism with rural characteristics to promote the development of rural areas.However, health tourism still has certain defects, and the development of rural planning is still advancing and improving.Leisure agriculture is an area where agriculture, tourism, and service industries intersect, and it is the link that maintains the common development of the three.Applying the concept of health tourism to the planning and design of leisure agricultural parks can make people satisfied in tourism.The pursuit of health and wellness also drives the development of the rural economy.With the progress of the economy and the continuous improvement of people’s living standards, the traditional travel mode is gradually changing towards the direction of informatization.The traditional way of travel-by-travel agencies planning travel routes is no longer the first choice for people to travel.On the one hand, the rapid development of the internet brings convenience to people, and on the other hand, it also brings a lot of information to the public.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
Effect of Arthroscopic Acromioplasty Combined with Rotator Cuff Repair in the Treatment of Aged Patients with Full-Thickness Rotator Cuff Tear and Rotator Cuff Injury

Full-thickness rotator cuff tear and rotator cuff injury are frequently occurring diseases and widely exist in the social population.Surgical repair is the most effective treatment for rotator cuff tears and injuries.With the continuous development of arthroscopy, more and more surgeons choose arthroscopic acromioplasty plus rotator cuff repair for the treatment of rotator cuff injury.However, previously published systematic reviews or meta-analyses still cast doubt on the efficacy of such concomitant procedures for postoperative patient function and pain recovery.In this study, we analyzed the effects of parameters such as shoulder function and acromion morphology on aged patients with full-thickness rotator cuff tear combined with rotator cuff injury treated with arthroscopic acromion plasty and rotator cuff repair.The results showed that arthroscopic acromion plasty and rotator cuff repair helped to promote the joint function recovery of the aged patients with full-thickness rotator cuff tear combined with rotator cuff injury and alleviate the pain of the patients.Compared with simple rotator cuff repair, this technique can increase the postoperative at and reduce the acea and to some extent reduce the risk of postoperative rotator cuff reinjury, which is worthy of promotion.

Journal: Emergency Medicine International (2022)
Publication types: Research Article;
A Signature of Genes Featuring FGF11 Revealed Aberrant Fibroblast Activation and Immune Infiltration Properties in Keloid Tissue

Keloid is a fibroproliferative disorder in the skin, which manifested with extensive deposition of collagen and extracellular matrix.Its etiology remains a mystery and its recurrence rate remains high despite combinative treatment regimens.Current hypotheses of its pathogenesis centered on the role of inflammatory processes as well as immune infiltration in the microenvironment.However, there are a lot of discrepancies when it comes to the verification of certain well-recognized pathways involved in the dysfunctional fibroblast.Further exploration and characterization are required to reveal the driving force and even leading genes responsible for keloid formation.In this study, we provided supportive evidence of the immunologic nature of keloids distinct from normal fibroblasts and physiological scars by incorporating multiple available expressional profiles in the gene expression omnibus (geo).Through differential analyses and functional analyses, we identified a set of genes that successfully captures the dissimilarities between keloid lesions and nonlesions.They were differentially regulated in keloid samples and had opposite behavior in exposure to hydrocortisone.A key signature of six genes featuring fgf11 not only was highly correlated with significantly dysregulated fibroblast activation but also reflected various levels of immune cell infiltration.Fgf11, in particular, revealed the heterogenous immunologic nature of keloid lesions.This study further supported that aberrant fibroblast was one of the main contributing factors and shed some light on investigating immune properties in future studies.

Journal: Emergency Medicine International (2022)
Publication types: Research Article;
Effects of Mind Mapping Combined with Microvideo Explanation on Disease Perception Control and Nursing Cooperation during Membrane Induction Therapy in Patients with Infectious Nonunion after Tibial Trauma

To study the effects of mind mapping combined with microvideo explanation on disease perception control and nursing cooperation during membrane induction therapy in patients with infectious nonunion after tibial trauma.Methods.30 patients with infectious nonunion after tibial trauma treated in the hospital between march 2018 and march 2022 were selected as the research subjects, and the patients were divided into a control group (n = 15) and an observation group (n = 15) by the random number table method.During membrane induction therapy, the control group adopted a routine nursing method while the observation group was given a nursing method of mind mapping combined with microvideo explanation.The disease perception control, nursing cooperation, and self-care ability of the two groups of patients were compared.Results.After nursing, the scores of aspects of “life impact (3.87 ± 0.92),” “duration (3.20 ± 1.01),” and “emotions (3.93 ± 0.59)” of the brief illness perception questionnaire (b-ipq) in the observation group were lower than those in the control group (5.27 ± 0.88, 4.67 ± 1.05, and 4.93 ± 0.80, respectively) ( p &lt; 0.05 ) while the scores of “self-control (6.80 ± 1.21)” and “disease awareness (7.27 ± 0.70)” were higher than those in the control group (5.00 ± 1.07 and 5.93 ± 0.70, respectively) ( p &lt; 0.05 ).There was no significant difference in the total compliance rate between the two groups ( p &gt; 0.05 ).After nursing, the scores of dimensions and the total score of the exercise of self-care agency scale (esca) were increased in the two groups, and the scores were higher in the observation group than those in the control group ( p &lt; 0.05 ).Conclusion.Mind mapping combined with microvideo explanation can improve the disease perception control during membrane induction therapy in patients with infectious nonunion after tibial trauma, improve the self-care ability, and facilitate the smooth progress of treatment.

Journal: Emergency Medicine International (2022)
Publication types: Research Article;