syedzayyan/paper_mill_benchmark huggingface dataset:
Exploring the Influence of Local Government Debt on Enterprise Investment through the Empirical Evidence at the Municipal Level

The data of new urban investment bonds in cities from 2011 to 2021 to represent the growth of local government debt is used in this article.This paper studies the relationship between the increase of local government debt and the underinvestment of a-share listed enterprises, which are nonfinancial companies in china.The research finds that the increase in local government debt will crowd out the debt financing of enterprises and then significantly the degree of underinvestment of enterprises, which is represented non-state-owned enterprises, enterprises with high financing constraints, and enterprises with nonlocal debt invested in the industry.As for listed enterprises with relatively low fixed assets, the increase in local debt will further lead to the degree of underinvestment.The above conclusions remain unchanged after a series of robustness tests in this paper.Further research shows that the increase in local government debt will weaken the stimulus effect of loose monetary policy and thus affect the underinvestment of enterprises.This paper expands the research on the factors affecting the underinvestment of enterprises and deepens the research on the consequences of the influence of local government debt on the economic activities of microsubjects.

Journal: Mathematical Problems in Engineering (2022)
Publication types: Research Article;
Exploration of Potential Biomarkers and Immune Landscape for Hepatoblastoma: Evidence from Machine Learning Algorithm

This study aimed to investigate the immune landscape in hepatoblastoma (hb) based on deconvolution methods and identify a biomarkers panel for diagnosis based on a machine learning algorithm.Firstly, we identified 277 differentially expressed genes (degs) and differentiated and functionally identified the modules in degs.The kyoto encyclopedia of genes and genomes (kegg) analysis and go (gene ontology) were used to annotate these degs, and the results suggested that the occurrence of hb was related to dna adducts, bile secretion, and metabolism of xenobiotics by cytochrome p450.We selected the top 10 genes for our final diagnostic panel based on the random forest tree method.Interestingly, tnfrsf19 and top2a were significantly down-regulated in normal samples, while other genes (trib1, mat1a, saa2-saa4, nat2, habp2, cyp2cb, apof, and cfhr3) were significantly down-regulated in hb samples.Finally, we constructed a neural network model based on the above hub genes for diagnosis.After cross-validation, the area under the roc curve was close to 1 (auc = 0.972), and the auc of the validation set was 0.870.In addition, the results of single-sample gene-set enrichment analysis (ss gsea) and deconvolution methods revealed a more active immune responses in the hb tissue.In conclusion, we have developed a robust biomarkers panel for hb patients.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Evaluation of the Effect of Integrated Care on Preoperative Anxiety in Day Surgery Patients Based on the MVPA Framework

To investigate the effect of receiving comprehensive care on preoperative anxiety in patients admitted to the operating room at different times.Methods.A generative model was applied to a patient’s preoperative anxiety aid diagnostic model and used to address preoperative anxiety due to the patient.Group ica first constructed a whole-brain dynamic functional connectivity network, and an initial dataset was constructed by kendall’s ranking correlation coefficient method; then, an expanded dataset was constructed by a conditional deep convolutional generative adversarial network (cdcgan), and finally, a dynamic classification study of patients with preoperative anxiety and healthy subjects was conducted by feature selection and discriminant models in turn.Seventy patients who entered the operating theatre at different times were retrospectively analyzed.Children who entered the operating theatre after 14:00 were included in the control group ( n = 35 ), and those who entered between 12:00 were included in the observation group ( n = 35 ).Patients in both groups were given comprehensive care, and preoperative anxiety was compared between the two groups.Results.The earlier the patients entered the operating room, the lower the preoperative anxiety.Conclusion.Comprehensive care could reduce the patients’ preoperative anxiety, keep their emotions stable, and improve their compliance with treatment.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Evaluation of Football Teaching Quality Based on Big Data

The arrival of the big data era has opened up new avenues for assessing the quality of physical education instruction.Using big data to explore these systems may help improve the quality of physical education itself, in addition to assisting schools in developing quality assessment systems for physical education.More and more schools are making football a compulsory part of their physical education and wellness curriculum.Therefore, this study used the methods of literature materials, expert interviews, questionnaires, and delphi method to determine the evaluation indicators and index weight coefficients of football teaching and borrowed the application background of big data to initially explore the construction of a football teaching quality evaluation system.To this end, this paper completes the following tasks: (1) the current state of football teaching quality evaluation studies in the united states and internationally is summarized.(2) a football teaching quality evaluation system based on the background of big data is constructed.(3) our experiments show that the assessment approach described in this study is scientifically and rationally distributed and can accurately represent all components of physical education.As a result, evaluating football instruction using big data is a possibility.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Evaluation Method of Public Physical Training Quality Based on Global Topology Optimization Deep Learning Model

In the quality evaluation of public sports training, the selected indicators are not comprehensive, resulting in some errors in the results of quality evaluation.Therefore, this paper designs a public sports training quality evaluation method based on the deep learning model of global topology optimization.Determine the basic principles of public sports training quality evaluation, determine the human coordinate points of public sports training by determining the basic section and basic axis of human training, and extract the data of public sports training quality evaluation.On this basis, quantify the public sports training quality evaluation index, construct the evaluation matrix, calculate the weight of the evaluation index, and determine the importance of the public sports training quality evaluation index.Preprocess the public sports training quality evaluation index set, search the optimal fitness value in the global topology optimization depth learning model, introduce the global topology optimization depth learning model, input the evaluation index and output the evaluation quality results, and realize the quality evaluation of public sports training.The experimental results show that the evaluation method in this paper can improve the accuracy of the evaluation results and is feasible.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
Empirical Study on the Relationship between Agricultural Economic Structure Growth and Environmental Pollution Based on Time-Varying Parameter Vector Autoregressive Model

In order to better demonstrate the relationship between agricultural economic structure growth and environmental pollution, an autoregressive model based on time‐varying parameter vector was proposed.In the process of developing the research, this paper introduces the ldmi method, based on the time‐varying parameter vector autoregression model, with the help of sampling formula calculation and other methods.Efforts were made to obtain credible conclusions.The experiment result shows that in this study, a total of 10,000 samples were taken.According to this value, 10000/116.15 = 86, which means that at least 86 unrelated samples can be obtained.Therefore, we can determine that each indicator mentioned in this paper has valid samples when it is introduced into the time‐varying parameter vector autoregression (tvp‐var) model for parameter estimation.After sampling detection image analysis and data calculation, the effect of energy structure, energy intensity industrial structure, and scale effect on the emission scale of environmental pollutants was obtained.It is proved that through the research of this paper, two main conclusions are finally obtained, and the influence of the five factors mentioned above is summarized.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
Emergency Optimization Decision-Making with Incomplete Probabilistic Information under the Background of COVID-19

At present, the whole world is facing the serious challenge of covid‐19, and it has reached a consensus that taking appropriate measures timely is the key to prevent and control infectious diseases.This paper proposes an algorithm to solve the problem of how to choose the most appropriate alternative from numerous alternatives in the limited time from the perspective of management.First of all, we have compared various data structures for keeping the comparison results of alternatives.After comparisons, we adopt the hesitant fuzzy incomplete probabilistic linguistic preference relation matrix to save the information which can keep the first‐hand valuable collected data to the maximum extent; then, we can obtain the missing values with the help of the fault tree analysis method, which can consider both subjective evaluation data and objective historical data simultaneously.Meanwhile, the fault tree analysis method can find development laws with the help of similar infectious diseases that have occurred in the past.The definition of consistency index is also introduced which can measure whether there are contradictions and the degree of contradiction in the decision results.Only those data that meet the consistency requirements can be used for decision‐making and then a method is proposed to effectively reduce the degree of inconsistency.The information aggregation method will be adopted subsequently, and we can obtain the ranking of alternatives.An instance with specific execution steps is also introduced to illustrate the feasibility and efficiency of the algorithm proposed in this paper; in the end, several types of comparisons with typical algorithms proposed by other scholars are carried out, and all the experimental results show that the algorithm proposed in this paper is effective and innovative in some aspects.

Journal: Complexity (2021)
Publication types: Research Article;
Efficient Monitoring and Adaptive Control of Indoor Air Quality Based on IoT Technology and Fuzzy Inference

In recent years, more and more occupants have suffered from respiratory illness due to poor indoor air quality (iaq).In order to address this issue, this paper presents a method to achieve efficient monitoring and adaptive control of iaq.Firstly, an indoor air quality monitoring and control system (iaqmcs) is developed using io t technology.Then, based on fuzzy inference, a novel fuzzy air quality index (faqi) model is proposed to effectively assess iaq.Furthermore, a simple adaptive control mechanism, called sacm, is designed to automatically control the iaqmcs according to a real-time faqi value.Finally, extensive experiments are performed by comparing with regular control (time-based control), which show that our proposed method effectively measures various air parameters (co2, voc, hcho, pm2.5, pm10, etc.) and has good performance in terms of evaluation accuracy, average faqi value, and overall iaq.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
Effects of Vitamin D on Respiratory Function and Immune Status for Patients with Chronic Obstructive Pulmonary Disease (COPD): A Systematic Review and Meta-Analysis

Many studies have demonstrated that vitamin d has clinical benefits when used to treat patients with chronic obstructive pulmonary disease (copd).However, most of these studies have insufficient samples or inconsistent results.The aim of this meta-analysis was to evaluate the effects of vitamin d therapy in patients with copd.Methods.We performed a comprehensive retrieval in the following electronic databases: pub med, embase, cochrane library, china national knowledge infrastructure (cnki), wanfang data, and chinese scientific journals database (vip).Two trained reviewers identified relevant studies, extracted data information, and then assessed the methodical quality by the cochrane risk of bias assessment tool, independently.Then, the meta-analyses were conducted by rev man 5.4, binary variables were represented by risks ratio (rr), and continuous variables were represented by mean difference (md) or standardized mean difference (smd) to assess the efficacy of vitamin d therapy in patients with copd.Then, publication bias assessment was conducted by funnel plot analysis.Finally, the quality of evidence was assessed by the grade system.Results.A total of 15 articles involving 1598 participants were included in this study.The overall results showed a statistical significance of vitamin d therapy in patients with copd which can significantly improve forced expiratory volume in 1 second (fev1) (md: 5.69, 95% ci: 5.01-6.38, p &lt; 0.00001 , i 2 = 51 % ) and fev1/fvc (smd:0.49, 95% ci: 0.39-0.60, p &lt; 0.00001 , i 2 = 84 % ); and serum 25 (oh)d (smd:1.21, 95% ci:1.07-1.34, p &lt; 0.00001 , i 2 = 98 % ) also increase cd3+ tcells (md: 6.67, 95% ci: 5.34-8.00, p &lt; 0.00001 , i 2 = 78 % ) and cd4+ t cells (md: 6.00, 95% ci: 5.01-7.00, p &lt; 0.00001 , i 2 = 65 % ); and t lymphocyte cd4+/cd8+ ratio (md: 0.41, 95% ci: 0.20-0.61, p = 0.0001 , i 2 = 95 % ) obviously decrease cd8+ tcells(smd: -0.83, 95% ci: -1.05- -0.06, p &lt; 0.00001 , i 2 = 82 % ), the times of acute exacerbation (rr: 0.40, 95% ci: 0.28-0.59, p &lt; 0.00001 , i 2 = 0 % ), and copd assessment test (cat) score (md: -3.77, 95% ci: -5.86 - -1.68, p = 0.0004 , i 2 = 79 % ).Conclusions.Our analysis indicated that vitamin d used in patients with copd could improve the lung function (fev1 and fev1/fvc), the serum 25(oh)d, cd3+ t cells, cd4 + t cells, and t lymphocyte cd4+/cd8+ ratio and reduce cd8+ t cells, acute exacerbation, and cat scores.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Meta-Analysis;
Effects of Different Anesthetics on Perioperative Organ Protection and Postoperative Cognitive Function in Patients Undergoing Cardiac Valve Replacement with Cardiopulmonary Bypass

In this paper, we have carried out an experimental study to investigate the effects of different anesthetics on perioperative organ protection and postoperative cognitive function in patients undergoing cardiac valve replacement with cardiopulmonary bypass.To realize this idea, a total of 90 patients with single valve replacement under general anesthesia and hypothermic cardiopulmonary bypass from january 2020 to october 2021 were enrolled.These patients were assigned into three groups, with 30 cases in each group by the digital table method.Group a was anesthetized with sufentanil combined with dexmedetomidine.Group b was anesthetized with sufentanil combined with etomidate.Group c was anesthetized with sufentanil combined with propofol.Perioperative organ protection and postoperative cognitive function of the three groups were compared.At t0 time point, there was no significant difference in blood wbc, blood n, and crp among groups a, b, and c ( p &gt; 0.05); at t4 and t5 time points, the indexes of blood wbc, blood n, and crp in groups a, b, and c were higher compared to the t0 time point.At t4 and t5 time points, the indexes of blood wbc, blood n, and crp in group a were significantly lower compared to group b and group c.Before treatment, there was no significant difference in alt and ast among groups a, b, and c ( p &gt; 0.05).After treatment, the indexes of alt and ast in group a were significantly lower compared to group b and group c at t4 and t5 time points ( p &lt; 0.05).Before treatment, there was no significant difference in urea and creatinine among groups a, b, and c ( p &gt; 0.05).After treatment, the urea and creatinine indexes of group a were significantly lower compared to group b and group c at t4 and t5 time points ( p &lt; 0.05).Before treatment, there was no significant difference in ck-mb and ctnl among groups a, b, and c ( p &gt; 0.05); after treatment, the indexes of ck-mb and ctnl in group a were significantly lower compared to group b and group c at t4 and t5 time points ( p &lt; 0.05).Before treatment, there was no significant difference in moca scores among groups a, b, and c ( p &gt; 0.05).After treatment, the moca scores of group a were significantly higher compared to group b and group c at t5 and t6 time points ( p &lt; 0.05).Sufentanil combined with dexmedetomidine for heart valve replacement under cardiopulmonary bypass can reduce the dosage of anesthetics during the operation and have a certain perioperative protective effect on important organs such as the heart, lung, liver, and kidney, which may be related to reducing intraoperative hemodynamic fluctuations and inhibiting inflammatory stress response.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Clinical Study;
Effect of Repairing Tendon and Ligament Injury of Wushu Athletes by Medical Image

Medical imaging can be used as a medical aid for diagnosis and treatment, and color doppler ultrasound can also be used in life science research as a scientific research method.Wushu is a traditional sport in china, which has a long history of development.Martial arts are a very good fitness project, but different from ordinary people, professional martial arts athletes are often accompanied by a variety of sports injuries, and tendon ligament injury is one of the most common injuries.At present, there are many treatment plans for tendon and ligament injury, but there are few researches on the repair effect of tendon and ligament injury.This paper will take this as the main research purpose for in-depth study.In view of the problem that ligament injury is not easy to observe, this paper will use ge lightspeed 64 row spiral ct as the main observation tool and use the method of hospital image observation to compare and analyze the repair effect of tendon and ligament injury of wushu athletes.In this experiment, 88 professional wushu athletes were gathered as experimental samples.After preliminary screening, 110 cases of ligament injury were counted.After analyzing the abnormal changes of tissue or structure, lysholm, and ikdc treatment effect score data, this paper believes that, for type i patients, only conservative treatment can achieve good results.However, in the more serious and complex type ii patients, local fixation is used after the onset of the disease, and very serious patients can achieve good results through surgical treatment.Postoperative care is also important, which helps reduce complications.This experiment has achieved ideal results and has played a blank role in the research of the repair effect of tendon and ligament injury of wushu athletes at home and abroad.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Effect of Intraarticular Injection of Platelet-Rich Plasma on Knee Osteoarthritis: A Multicenter Retrospective Clinical Study

This study aimed to evaluate the effect of intraarticular injection with platelet-rich plasma on knee osteoarthritis.A total of 250 patients with stages i–iii osteoarthritis from december 2018 to june 2020 were included in this study.All the patients had received autologous prp injection (3 ml) into the affected knee joint every week for totally 3 injections.The vas score and womac index were used to evaluate knee function before and at 3 days, 1 month, and 3 months after injection.A total of 250 patients were enrolled in this study, including 130 patients in the prp group and 120 patients in the control group.The content of platelets in prp of patients in the prp group was 958.0 ± 283.1 × 109/l.The vas score and womac index of patients in the prp group before treatment were not significantly different from those in the control group.At 3 days, 1 month, and 3 months after prp treatment, the vas score and womac index of the prp group were significantly lower than those of the control group.Prp is effective in treatment of knee osteoarthritis.The pain symptoms can be alleviated at 3 days after injection.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Clinical Study;
Effect of Eriodictyol on Retinoblastoma via the PI3K/Akt Pathway

Retinoblastoma (rb) is one of the most common intraocular malignancies in children, which causes vision loss and even threatens life.Eriodictyol is a natural flavonoid with strong anticancer activity.Some studies have shown that eriodictyol exerts anticancer effects in glioma, colon cancer, and lung cancer; however, no studies have reported the anticancer effects of eriodictyol on rb.Therefore, the aim of this study was to investigate the anticancer activity of eriodictyol against the rb y79 cell line and its potential mechanism of action.Interestingly, we found that eriodictyol inhibited the proliferation, migration, and invasion of y79 cells in a dose-dependent manner and decreased the expression of mmp-2 and mmp-9 proteins in the cells.In addition, eriodictyol-induced apoptosis in y79 cells was assessed by flow cytometry and immunoblotting.Here, our study revealed that eriodictyol dose dependently inhibited the activation of the pi3k/akt signaling pathway.Notably, the effect of eriodictyol on rb apoptosis was reversed by a pi3k agonist 740 y-p.In conclusion, our study shows that eriodictyol effectively inhibits proliferation, migration, and invasion and induces apoptosis in rb cell lines, which may be the result of blocking the pi3k/akt signaling pathway.Thus, eriodictyol may provide a new theoretical basis for exploring targeted antitumor natural therapies.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;