syedzayyan/paper_mill_benchmark huggingface dataset:
The Construction of a Diversified and Open Teacher Education System Management System That Integrates Public Mental Health

The teacher education management system is crucial to the operation of the teacher education system (tes).It is the core institutional system of the tes, which stipulates the management authority and functional scope of the relevant departments of the tes.After the new pluralistic and open tes is formed, the original management system must be adjusted accordingly.In this context, this article integrates public mental health (pmh) into the diversified and open management system of tes and then uses a neural network to evaluate and complete the following tasks: (1) this article introduces the development status of diversified and open tes management systems at home and abroad and the importance of public psychology courses to teacher education.(2) the framework of tes integrating pmh is proposed, and then the principles of bpnn and gray wolf optimization (gwo) algorithm are introduced, and the igwo‐bpnn model is constructed accordingly.(3) the convergence and fitness of the igwo‐bp model and the gwo‐bp model are compared through experiments, which proves the superiority of the performance of the igwo‐bp model.The optimal model is constructed by selecting parameters, and then the output of the model is compared with the expert evaluation results, and the error is small.It is proved that the model has superior performance in evaluating the professional quality of teacher education.(4) this article selects three professional quality evaluation indicators of teacher education to compare the changes before and after the integration of pmh.The results show that the proposed diversified and open management system of tes integrating pmh can effectively improve the professional quality of teachers in all aspects.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
Analysis of Erhu Performance Effect in Public Health Music Works Based on Artificial Intelligence Technology

With the rise of erhu teaching in recent years, a large number of people have joined the team to learn erhu playing.However, due to the high cost of teaching and the unique one‐to‐one teaching mode between teachers and students, erhu education resources are very scarce.Learning erhu performance has become a luxury activity.Nowadays, with the rise of artificial intelligence, computer music is developing rapidly.Music has two important aspects: composition and performance.Different kinds of instruments convey different styles, and players inject different rhythms and dynamics into their performance, thus producing rich expressive force.The development of image style conversion, which opens people’s evaluation of music performance, is an important issue in many fields of artificial intelligence (it is also known as intelligence, machine intelligence, referring to the intelligence shown by the machine made by people.Usually, artificial intelligence refers to the technique of presenting human intelligence through ordinary computer programs).For an erhu song, there are various factors that affect its effectiveness, and there are many indexes to evaluate it, such as sense of rhythm, expressive force, musical sense, style, and so on.Using a computer to simulate the evaluation process is essential to find out the mathematical relationship between the factors that affect the performance of music and the evaluation indexes.Neural network is a kind of mathematical model proposed by simulating the way of thinking of human brain in artificial intelligence.It has the advantages of not having strict requirements on data distribution, nonlinear data processing method, strong robustness, and dynamics and is very suitable for the mathematical model of evaluation system.In addition, the neural network also has a strong theoretical basis, and their application in various industries has developed basically mature.This paper tries to introduce a deep neural network mathematical model into the evaluation system of erhu performance, and the experimental results prove the reliability and practicality of the method in this paper.It can provide a method basis and theoretical reference for evaluation of erhu performance effect.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
Analysis of the Effect of the Stability of Athletes’ Psychological Quality on Sports Basketball Games

Enthusiasm for sports competitions is consistently high.In sports competitions, athletes not only need to have superb skills but also need a strong psychological quality.Usually, athletes with high psychological quality can make their technical level outstanding; on the contrary, for athletes with low psychological quality, even if the level of competition is very high, it is difficult to achieve excellent results.This study analyzes the data of basketball players to study the influence of the stability of different players’ psychological quality on the performance of basketball games.The “mental state” of basketball players is negatively correlated with their performance in basketball games, and the players’ psychology often shows signs of tension during basketball games.This tension is the result of a variety of psychological effects, and the number of times of tension is different under different psychological quality stabilities.The experimental analysis results of this study show that through the data analysis of the psychological factors affecting basketball players, the key factors affecting their psychology have been explored, and strategies and methods that can effectively cultivate the psychological quality of basketball players have been found, in order to provide a reference for improving the psychological quality of basketball players.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
Regulation of Chondrocyte Differentiation by miR-455-3p Secreted by Bone Marrow Stem Cells through Phosphatase and Tensin Homolog Deleted on Chromosome Ten/Phosphoinositide 3-Kinase-Protein Kinase B

The effects of the regulation of phosphatase and tensin homolog deleted on chromosome ten (pten) by microribonucleic acid- (mi r-) 455-3p on bone marrow stem cells’ (bmscs’) chondrogenic development were examined based on the phosphoinositide 3-kinase (pi3k)/protein kinase b (akt) signal pathway.The alterations in mi r-455-3p and pten were identified using osteoarthritis (oa) and healthy chondrocytes.Rats raised on the sd diet had their bmscs isolated for chondrocyte-induced differentiation (blank group), transfected mi r-455-3p mimic (mimic group), and inhibitor (inhibitor group).Besides, cell proliferation, alizarin red mineralization staining, and the activity of alkaline phosphatase (alp) were detected.Real-time fluorescent quantitation polymerase chain reaction (pcr) and western blot were utilized to detect runx2, opn, osx, col2a1 m rna, and the difference between pi3k and akt.Dual-luciferase reporter (dlr) genes were selected to analyze the target relationship of mi r-455-3p to pten.It was demonstrated that mi r-455-3p in oa was downregulated, while pten was upregulated ( p &lt; 0.05 ) in comparison to healthy chondrocytes ( p &lt; 0.05 ).Versus those in the blank group, alizarin red mineralization staining and the activity of alp increased; runx, opn, osx, col2a1 m rna, p-pi3k, and p-akt were elevated in the mimic group ( p &lt; 0.05 ).Versus those in the blank and mimic groups, alizarin red mineralization staining and the activity of alp reduced; runx, opn, osx, col2a1 m rna, p-pi3k, and p-akt were downregulated in the inhibitor group ( p &lt; 0.05 ).Mi r-455-3p could target pten to inhibit its expression, thus activating the pi3k/akt signal pathway and promoting bmscs chondrocyte-induced differentiation.The research results provided reference for the occurrence of oa and the study on therapeutic target.

Journal: Stem Cells International (2023)
Publication types: Research Article;
Effect of Nursing Model Based on Rosenthal Effect on Self-Efficacy and Cognition of Life Meaning in Patients with Non-Small-Cell Lung Cancer

To study the influence of nursing model based on rosenthal effect on self-efficacy and cognition of life meaning in patients with non-small-cell lung cancer (nsclc).Methods.120 patients with nsclc treated in the hospital were selected from november 2020 to november 2021 and were randomly divided into the nursing group and the rosenthal group, with 60 cases in each group.The nursing group received routine nursing intervention, while the rosenthal group was intervened by nursing model based on the rosenthal effect, and both groups were intervened for 1 month.The self-efficacy (general self-efficacy scale (gses)), negative emotions (hospital anxiety and depression scale (hads)), self-burden (self-perceived burden scale for cancer patients (spbs-cp)), meaning of life (meaning of life scale for advanced cancer patients (mi ls)), and quality of life (functional assessment of cancer therapy-lung (fact-l)) were compared between the two groups before and after intervention.Results.After 1 month of intervention, the scores of gses and mi ls of patients in the two groups were significantly higher than those before intervention, and the scores in the rosenthal group were significantly higher than those in the nursing group ( p &lt; 0.05 ).The scores of hads, spbs-cp, and fact-l in the two groups were significantly lower than those before intervention, and the scores were significantly lower in the rosenthal group than those in the nursing group ( p &lt; 0.05 ).Conclusion.Nursing model intervention based on rosenthal effect enhances the self-efficacy and meaning of life and reduces the negative emotions and self-burden in patients with nsclc.

Journal: Emergency Medicine International (2022)
Publication types: Clinical Study;Research Article;
Analyzing the Patient Behavior for Improving the Medical Treatment Using Smart Healthcare and IoT-Based Deep Belief Network

Patient behavioral analysis is a critical component in treating patients with a variety of issues, with head trauma, neurological disease, and mental illness.The analysis of the patient's behavior aids in establishing the disease’s core cause.Patient behavioral analysis has a number of contests that are much more problematic in traditional healthcare.With the advancement of smart healthcare, patient behavior may be simply analyzed.A new generation of information technologies, particularly the internet of things (io t), is being utilized to transform the traditional healthcare system in a variety of ways.The internet of things (io t) in healthcare is a crucial role in offering improved medical facilities to people as well as assisting doctors and hospitals.The proposed system comprises of a variety of medical equipment, such as mobile-based apps and sensors, which is useful in collecting and monitoring the medical information and health data of patient and interact to the doctor via network connected devices.This research may provide key information on the impact of smart healthcare and the internet of things in patient beavior and treatment.Patient data are exchanged via the internet, where it is viewed and analyzed using machine learning algorithms.The deep belief neural network evaluates the patient’s particulars from health data in order to determine the patient’s exact health state.The developed system proved the average error rate of about 0.04 and ensured accuracy about 99% in analyzing the patient behavior.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
The Expression and Clinical Significance of Sphingosine Kinase 1 and Vascular Endothelial Growth Factor in Endometrial Carcinoma

The aim of the study is to investigate the expression of sphingosine kinase 1 (sphk1) and vascular endothelial growth factor (vegf) in patients with endometrial carcinoma and its clinical significance.The tissues of 86 cases of patients with endometrial carcinoma and 54 cases of patients with endometrial atypical hyperplasia were collected.The expression of sphk1 and vegf in the tissue was detected by immunohistochemistry.The expression of sphk1 in patients with endometrial carcinoma was compared with the clinicopathological data.Results.69 cases (82.1%) of endometrial carcinoma were positive for sphk1, which was higher than 2 cases (3.7%) of endometrial atypical hyperplasia ( p &lt; 0.05 ).The vegf expression in 54 patients (62.8%) with endometrial carcinoma was higher than that in 12 patients with endometrial atypical hyperplasia (22.2%) ( p &lt; 0.05 ).There was a positive correlation between sphk1 and vegf expressions in endometrial carcinoma (c = 0.595).The expression of sphk1 in endometrial cancer patients was different in different pathological types, figo stages, lymph node metastasis, er, and pr positive or not, and the difference between the two groups was significant ( p &lt; 0.05 ).There was no difference in age, degree of differentiation, and depth of myometrial infiltration ( p &lt; 0.05 ).The expression of sphk1 in patients with endometrial carcinoma is increased, which is helpful for early detection of patients with endometrial carcinoma, and may play a synergistic role with vegf in the pathogenesis and development of endometrial carcinoma.

Journal: Emergency Medicine International (2022)
Publication types: Research Article;
MicroRNA-375 released from extracellular vesicles of bone marrow mesenchymal stem cells exerts anti-oncogenic effects against cervical cancer

Background cervical cancer is the most prevalent gynecological malignancies accompanied by high mortality, where finding a more effective therapeutic option for cervical cancer is necessary.The inhibitory role of micro rnas (mi rnas) derived from the extracellular vesicles (evs) of the bone marrow mesenchymal stem cells (bmscs) was analyzed in cervical cancer.Methods expression of mi r-375 was examined by rt-q pcr in cervical cancer cell lines.The targeting relation between mi r-375 and maternal embryonic leucine zipper kinase (melk) was predicted by bioinformatics analysis and verified by dual-luciferase reporter gene assay.Isolated bmscs were transfected with lentivirus-mediated vectors, followed by ev extraction.The morphology of evs was then identified using a nano sight particle size analyzer and transmission electron microscope (tem).The biological properties of cervical cancer cells were evaluated using transwell, ed u, and tunel assays, respectively.Xenograft tumors in nude mice were observed to assess cervical tumorigenesis in vivo.Results low expression of mi r-375 and high expression of melk were detected in cervical cancer samples.Melk was identified as the target gene of mi r-375, which was negatively correlated with mi r-375 levels.Overexpression of mi r-375 suppressed proliferation, migration, and invasion of cervical cancer cells, but enhanced cell apoptosis by cooperating with downregulated melk expression.Mi r-375 transferred from bmsc-derived evs exerted the same effects on cell biological activities.Xenograft assays in vivo proved that mi r-375 from bmsc-derived evs inhibited tumor growth.Conclusion the present study highlighted the role of mi r-375 from bmsc-derived evs in suppressing the progression of cervical cancer, which may contribute to the discovery of novel potential biomarkers for cervical cancer therapy.

Journal: Stem Cell Research & Therapy (2020)
Publication types: Research Article;
The Characteristics and Paths of the Dissemination of Intangible Cultural Heritage in the Form of Animation in the New Media Environment

In recent years, the state and even the society pay more and more attention to the protection of the intangible cultural heritage.How to effectively protect and inherit the intangible cultural heritage is the main work at present.Based on the role and influence of animation in the protection of intangible cultural heritage, this paper systematically discusses the promotion role of animation in the inheritance and dissemination of intangible cultural heritage.First, the role of animation communication in the protection of intangible cultural heritage.Finally, this paper takes the combination of intangible cultural heritage culture and animation as an example to discuss and design the combination of intangible cultural heritage protection animation and specific cases.This paper regards animation as a cultural medium, which is of great significance to the effective protection, dissemination, and inheritance of the national intangible cultural heritage.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
Government Environmental Governance and Enterprise Coordinated Green Development under the Goal of “Double Carbon”

China’s 13th five‐year plan puts forward the development concept of “green development” and takes the construction of green financial system as the development strategy, which shows that the concept of environmental governance and green development is becoming more and more important for national economic development.It is a major strategic task for china to build an environmental governance system dominated by the government and dominated by enterprises and implement the main responsibility of enterprise environmental governance.At present, the environmental supervision of local governments needs to be improved urgently.It is necessary to strengthen the production regulation of enterprises and promote the emission of “three wastes” up to the standard based on the principle of “polluter pays.” the green development of enterprises is not only conducive to the improvement of their own “three effects” and corporate image but also has the external spillover effect of giants and is conducive to the construction of ecological civilization.Therefore, this study will focus on the collaborative governance in the field of environment, explore the ideal collaborative governance framework in the process of environmental collaborative governance, as well as the difficulties and optimization paths of collaboration, and put forward corresponding suggestions for the current environmental governance.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
The Impact of Cultural Creative Product Design for Sport Events on the Residents’ Fitness

Cultural and creative product design of sports events is an important part of sports industry, which can improve the economic benefits of sports industry.Based on this background, this paper puts forward a regression analysis method to deeply analyze the design of cultural and creative products in sports events, aiming at driving the healthy development of residents and improving their health levels.First of all, 620 residents were randomly divided into a control group and an observation group to compare natural characteristics, historical characteristics, folk crafts, regional culture, and other indicators.Then, find out the factors with significant differences, and carry out regression analysis to provide corresponding measures for the design of cultural and creative products in sports events.The results show that the main influencing factors of creative product design are natural characteristics, historical characteristics, folk crafts, regional culture, and promotion effect, and each index has a significant impact on residents’ fitness, and there are significant differences.Therefore, all regions should improve the design level of sports events, bring through the development of residents’ fitness industry, and effectively guide residents’ fitness.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
Application Research of Intelligent Classification Technology in Enterprise Data Classification and Gradation System

Classification and gradation system adopts different security protection schemes for different types of data by implementing classification and gradation management of data, which is an important pretechnical means for data security protection and prevention of data leakage.This paper introduces artificial intelligence classification, machine learning, and other means to learn and train enterprise documents according to the characteristics of enterprise sensitive data.The generated training model can intelligently identify and classify file streams, improving work efficiency and accuracy of classification and gradation.At the same time, the differences, advantages, and disadvantages of k-nn (k-nearest neighbors), dt (decision tree), and linear svc algorithms are compared.The experimental data shows that linear svc algorithm is applicable to high-dimensional data, with discrete, sparse data features and large number of features, which is more suitable for classification of sensitive data of enterprises.

Journal: Complexity (2020)
Publication types: Research Article;
Sport Resource Classification Algorithm for Health Promotion Based on Cloud Computing: Rhythmic Gymnastics’ Example

In the processing of rhythmic gymnastics resources, there are inefficiency problems such as confusion of teaching resources and lack of individuation.To improve the health access to teaching resource data, such as videos and documents, this study proposes a cloud computing‐based personalized rhythmic gymnastics teaching resource classification algorithm for health promotion.First, personalized rhythmic gymnastics teaching resource database is designed based on cloud computing technology, and the teaching resources in the database are preprocessed to obtain a meta‐sample set.Then, the characteristics of teaching resources are selected by the information acquisition method, and a vector space model is established to calculate the similarity of teaching resources.Finally, the distance‐weighted k‐nn method is used to classify the teaching resources for health promotion.The experimental results show that the classification accuracy of the proposed algorithm is high, the recall rate is high, and the f‐measure value is high, which verifies the effectiveness of the algorithm.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
Museum Display Showcase Furniture System Research Based on Internet of Things Technology in Intelligent Environment

The protection of cultural relics has always been an important issue in the field of museums and archaeology.With the development of internet of things technology, the security system of the museum is more intelligent and integrated.In order for the museum display system to keep up with the intelligent age, this article mainly studies the research and realization of the museum showcase system based on the internet of things technology in a smart environment.Before the start of the experiment, we developed the overall design of the system, including three functional modules: temperature module, illumination module, and monitoring module.The experiment is done mainly for system testing.The performance test of the sensor module needs to sample the temperature and humidity sensor to verify the accuracy of the temperature and humidity signal collected in the instrument circuit.The light information collection test uses the adc sampling inside the cc2530 to obtain the required data and judges whether these temperature, humidity, and light intensity values exceed the preset values.The serial port needs to be initialized to carry out data communication and transmission normally.After the receiving end finishes receiving, the sending end will clear the data buffer to prepare for the next data transmission.The experimental data show that the error between the predicted value and measured value of the temperature system is about 3°c, which is within the allowable error range of the experiment.The results show that the system has perfect functions, is safe and reliable, meets the expected requirements, and has good practicability.

Journal: Complexity (2021)
Publication types: Research Article;