syedzayyan/paper_mill_benchmark huggingface dataset:
Media Influence and the Willingness to Buy Intangible Cultural Heritage Products: A Moderated Mediator Model

In the information society, the media exert a key influence on the consumer selection of intangible cultural heritage (ich) products.Drawing on the literature of cultural identity, product involvement, and willingness to buy, this paper constructs and verifies the theoretical model of media influence-cultural identity-willingness to buy ich products, with ich product consumers as the objects.The results show that the media have a significantly positive effect on cultural identity, which in turn significantly promotes the willingness to buy, but the media do not significantly affect the willingness to buy.Cultural identity fully mediates the media influence on the willingness to buy.Referring to relevant studies on product involvement, the samples were divided into a set of high involvement and a set of low involvement.The moderating effect analysis reveals that the higher the product involvement, the more significant the effect of media on cultural identity and the more prominent the influence of cultural identity on the willingness to buy.Finally, the authors discussed the managerial implications of the research results for ich inheritors and enterprises.

Journal: Discrete Dynamics in Nature and Society (2021)
Publication types: Research Article;
Topological Sustainability of Crop Water Requirements and Irrigation Scheduling of Some Main Crops Based on the Penman-Monteith Method

The following method was used to apply the topology of the current study of evapotranspiration eto, net irrigation demand, irrigation schedules, and total effective rain fall of different crop models: using the food and agriculture organization's (fao) cropwat 8.0 standard software and the climwat 2.0 tool and the fao-56 penman-monteith approach to examine the variable topology of evapotranspiration eto.Due to high temperatures in summer with an annual mean of 6.33 mm/day, the topological demonstration of reference evapotranspiration (eto) increases from 2.84 mm/day in january to a maximum of 9.61 mm/day in july.Effective rainfall fluctuates from 0 mm to 53.4 mm.Total irrigation topological indices requirements were 308.3 mm/dec, 335.9 mm/dec, 343.6 mm/dec, 853 mm/dec, and 1479.6 mm/dec for barley, wheat, maize, rice, and citrus, respectively.The physical topological indices due to low demand in winter and high demand in summer, the total net irrigation, and gross irrigation for clay loamy soils for wheat (210.6 mm and 147.4 mm), barley (176.6 mm and 123.6 mm), citrus (204.5 mm and 143.2 mm), and maize (163.9 mm and 114.7 mm), but not for rice.This topology demonstrates that wheat has 4, barley has 4, citrus has 12, maize has 4, and rice crop has 12 irrigation schedules in a year.

Journal: Journal of Chemistry (2021)
Publication types: Research Article;
PLncWX: A Machine-Learning Algorithm for Plant lncRNA Identification Based on WOA-XGBoost

Long noncoding rnas (lnc rnas) are a class of rnas longer than 200 nt and cannot encode the protein.Studies have shown that lnc rnas can regulate gene expression at the epigenetic, transcriptional, and posttranscriptional levels, which are not only closely related to the occurrence, development, and prevention of human diseases, but also can regulate plant flowering and participate in plant abiotic stress responses such as drought and salt.Therefore, how to accurately and efficiently identify lnc rnas is still an essential job of relevant researches.There have been a large number of identification tools based on machine-learning and deep learning algorithms, mostly using human and mouse gene sequences as training sets, seldom plants, and only using one or one class of feature selection methods after feature extraction.We developed an identification model containing dicot, monocot, algae, moss, and fern.After comparing 20 feature selection methods (seven filter and thirteen wrapper methods) combined with seven classifiers, respectively, considering the correlation between features and model redundancy at the same time, we found that the woa-xgboost-based model had better performance with 91.55%, 96.78%, and 91.68% of accuracy, auc, and f1_score.Meanwhile, the number of elements in the feature subset was reduced to 23, which effectively improved the prediction accuracy and modeling efficiency.

Journal: Journal of Chemistry (2021)
Publication types: Research Article;
Dual Solution with Heat Transfer through Moving Porous Plate of an Unsteady Incompressible Viscous Fluid

We examine graphically the behavior of the dual solution of an unsteady incompressible viscous flow with heat transfer due to a moving porous surface.The mathematical model is developed with the implementation of conservation laws which are then tackled numerically, and the simulations are performed through the keller–box technique.Application of the keller–box technique allows the non-linear differential equations to transform to a scheme of linear differential equations which are easier to illuminate.Outcomes of velocity and thermal behavior are shown graphically for certain values of the dimensionless parameters.It is obvious from the results that temperature of fluid decreases with the increasing values of dimensionless prandtl number pr, whereas the velocity enhances for blowing situations.

Journal: Journal of Chemistry (2022)
Publication types: Research Article;
COVID-19 Infection Structure Analysis Based on Minimum Spanning Tree Visualization in the Kingdom of Saudi Arabia Regions

This work aims to study the extent of the association between the numbers of covid-19 infections among the regions of saudi arabia using a graph theory, especially the calculation of the minimum spanning tree.The research also aims mainly to classify the central regions of saudi arabia, whose number of covid-19 virus infections is centrally linked to other provinces, i.e., when the number of infections in these central regions increases, the number of infections in the associated regions increases and when infections decrease in these central regions, infections decrease in the associated regions.

Journal: Journal of Chemistry (2022)
Publication types: Research Article;
Regional Variation in the Carbon Dioxide Emission Efficiency of Construction Industry in China: Based on the Three-Stage DEA Model

China’s construction industry emits a huge amount of carbon dioxide with the extensive and rapid development, and the carbon dioxide emissions from construction sector have become a social problem.This article evaluates the carbon dioxide emission from china’s regional construction industry by the three-stage dea method.The research results indicate that the environmental factors and random error seriously affect the carbon dioxide emission efficiency of construction industry.Eliminated the above factors, the mean of the carbon dioxide emission efficiency has the tendency of rising firstly and then decreasing, which increased from 0.67 in 2010 to 0.76 in 2014 and then decreased to 0.66 in 2019 in the third stage.On the whole, china’s regional construction industry has the low carbon dioxide emission efficiency.In the regions, the eastern region has the highest technology efficiency value among the three regions, followed by the middle region and the west region.Therefore, the key method to increase the carbon emission efficiency of construction industry is to improve the management efficiency and change the growth mode.

Journal: Discrete Dynamics in Nature and Society (2021)
Publication types: Research Article;
Coding and Noncoding RNA Expression Profiles of Spleen CD4+ T Lymphocytes in Mice with Echinococcosis

Cystic echinococcosis (ce) is a severe and neglected zoonotic disease that poses health and socioeconomic hazards.So far, the prevention and treatment of ce are far from meeting people's ideal expectations.Therefore, to gain insight into the prevention and diagnosis of ce, we explored the changes in rna molecules and the biological processes and pathways involved in these rna molecules as e.Granulosus infects the host.Interferon (ifn)‐ γ , interleukin (il)‐2, il‐4, il‐6, il‐10, il‐17a, and tumor necrosis factor (tnf)‐ α levels in peripheral blood serum of e.Granulosus infected and uninfected female balb/ c mice were measured using the cytometric bead array mouse th1/th2/th17 cytokine kit.M rna, micro rna (mi rna), long noncoding rna (lnc rna), and circular rna (circ rna) profiles of spleen cd4 + t cells from the two groups of mice were analyzed using high‐throughput sequencing and bioinformatics.The levels of ifn‐ γ , il‐2, il‐4, il‐6, il‐10, il‐17a, and tnf‐ α were significantly higher in the serum of the ce mice than in control mice ( p &lt; 0.01).In total, 1,758 known m rnas, 37 mi rnas, 175 lnc rnas, and 22 circ rnas were differentially expressed between infected and uninfected mice (|fold change| ≥ 0.585, p &lt; 0.05).These differentially expressed molecules are involved in chromosome composition, dna/rna metabolism, and gene expression in cell composition, biological function, and cell function.Moreover, closely related to the jak/stat signaling pathways, mitogen‐activated protein kinase signaling pathways, p53 signaling pathways, pi3k/akt signaling pathways, cell cycle, and metabolic pathways.E.Granulosus infection significantly increased the levels of ifn‐ γ , il‐2, il‐4, il‐6, il‐10, il‐17a, and tnf‐ α in mouse peripheral blood of mice and significantly changed expression levels of various coding and noncoding rnas.Further study of these trends and pathways may help clarify the pathogenesis of ce and provide new insights into the prevention and treatment of this disease.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Research Article;
Effects of Irrational Use of Antibiotics on Intestinal Health of Children with Extraintestinal Infectious Diseases

The effects of different antibiotic treatment regimens on intestinal function and flora distribution in children with extraintestinal infectious diseases are explored.A total of 150 cases of extraintestinal infectious diseases admitted to our hospital from january 2021 to january 2022 and 50 healthy subjects during the same period were selected for the study.These 150 children were randomly divided into cephalosporin group, piperacillin group, and combined group and were successively treated with ceftazidime, piperacillin, and two drug combination regimens.The efficacy of the drug, intestinal microflora, intestinal mucosal barrier function, and incidence of antibiotic‐associated diarrhea (aad) were compared among the different groups.The experimental results showed that ceftazidime combined with piperacillin can effectively improve the intestinal health of children with extraintestinal infectious diseases but destroy the microecological environment of intestinal flora, affect the intestinal mucosal barrier function, and increase the risk of aad.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Research Article;
The Effects of ERAS Concept Combined with Postoperative Leg Pad Elevation on Knee Enhancement, Quality of Life, and Pain in Sufferers after HTO Surgery

The effects of the enhanced recovery after surgery (eras) concept combined with postoperative leg pad elevation on knee enhancement, quality of life, and pain in sufferers after high tibial osteotomy (hto) are investigated.A total of 98 sufferers who underwent high tibial osteotomy in our hospital from january 2020 to may 2021 were selected as the study subjects.Two sets of sufferers are randomly divided into the study set and the routine set by the random number table method, with 49 cases in each set.The contrast set is given routine nursing intervention, and the eras concept combined with self‐made raising leg pad nursing is given to the study set on the basis of the contrast set.Efficacy, joint pain, knee function, sf‐36 fraction, quality of life fraction, and psychological status fraction are observed in 2 sets.Experimental results show that for sufferers after hto surgery, the application of the eras concept combined with leg pad nursing therapy can effectively enhance postoperative knee function and adverse mood, reduce postoperative pain, and enhance postoperative quality of life.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Research Article;
Circ TYMP1 Inhibits Carcinogenesis and Cisplatin Resistance in Ovarian Cancer by Reducing Smad2/3 Phosphorylation via a MicroRNA-182A-3p/TGF1B Axis

Tymp1 is a cancer driver in several human malignancies.However, its significance in ovarian cancer (ovarian carcinoma) remains uncertain.This research aims to understand the tymp1’s role in ovarian carcinoma carcinogenesis and cisplatin (ddp) resistance and its molecular ovarian marchionesses.Circ tymp1 overexpression in ovarian carcinoma samples led to an accelerated tumor stage.Bioinformatics identified mi r‐182a‐3p as the tymp1’s target transcript.Circ tymp1 functioned as a sponge for mi r‐182a‐3p, lowering its inhibitory effect on tgf1b.Downregulating circ tymp1 decreased a2780‐res cell proliferation, invasion, and death resistance.Malignant ovarian carcinoma cells recovered following mi r‐182a‐3p downregulation.Tgf1b overexpression boosted a2780‐res cell proliferation, aggression, and cisplatin resistance while reducing smad2/3 phosphorylation.Tymp1 sequesters mi r‐182a‐3p and promotes tgf1b in ovarian carcinoma, boosting carcinogenesis and cisplatin resistance.This might lead to novel ovarian carcinoma treatments.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Research Article;
Helicid Improves Lipopolysaccharide-Induced Apoptosis of C6 Cells by Regulating SH2D5 DNA Methylation via the CytC/Caspase9/Caspase3 Signaling Pathway

Dna methylation is reportedly associated with stress responses and depression.Treatment with antidepressants can regulate dna methylation and, subsequently, gene expression in the hippocampus.Hence, dna methylation is a potential target for treatment of depression.Screening of high‐throughput data of a rat model of chronic unpredictable mild stress revealed relatively low expression of sh2 domain‐containing 5 (sh2d5).Sh2d5 can be overexpressed by treatment with helicid.Therefore, in order to further explore the role of sh2d5 in depression and whether helicid mediates the dna methylation of sh2d5 as a potential antidepressant role, sh2d5 was overexpressed in c6 cells as a lipopolysaccharides (lps)‐induced model of depression.The expression levels of bax, bcl‐2, bad, and daxx, and changes to the cyt c/caspase9/caspase3 signal pathway were detected by q rt‐pcr and western blot analyses.After treatment with helicid or silencing of sh2d5, the above indices were detected.The results showed that helicid regulated the cyt c/caspase9/caspase3 signaling pathway and improved the apoptosis indices of c6 cells through the overexpression of sh2d5.Interestingly, silencing of sh2d5 reversed the effects of helicid on the above indices.Then, in order to study the underlying mechanism, the cells were administered to helicid or 5‐aza‐2′‐deoxycytidine (5‐aza d) and expression of sh2d5 was detected by q rt‐pcr and western blot analyses, while to assess the dna methylation level of sh2d5 using bisulfite sequencing/pcr.The results showed that sh2d5 was hypermethylated with low expression in lps‐induced c6 cells, which was reversed by helicid and 5‐aza d.These results suggest that helicid may affect the cyt c/caspase9/caspase3 apoptosis signaling pathway and improve the apoptosis indices by mediating dna methylation of sh2d5.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Research Article;
Thromboelastography Parameters in Urosepsis: A Retrospective Study

Thromboelastography (teg) is usually used to monitor coagulation disorder clinically.It is unclear whether teg has association with urosepsis and sepsis‐induced coagulopathy (sic).The purpose of this study was to investigate the clinical significance of teg parameters in urosepsis.90 patients who were admitted to the emergency ward and emergency intensive care unit (eicu) of ren ji hospital affiliated to shanghai jiao tong university school of medicine due to urinary infection from february 2014 to february 2022 were retrospectively studied.Urosepsis patients and non‐sepsis patients were separately investigated according to the final discharge diagnosis and sepsis 3.0.At the same time, patients with urosepsis were further divided into groups of sic and non‐sic based on the definition of sic.The data of clinical features, laboratory biomarkers, and teg parameters were collected and analyzed.There were significant differences in white blood cell count, c‐reactive protein (crp), platelet count, procalcitonin (pct), fibrinogen (fib), international normalized ratio (inr), prothrombin time (pt), d‐dimer, and incidence of urinary tract obstruction between the urosepsis group and non‐sepsis group ( p &lt; 0.05).In the comparison with non‐sepsis group, k value was significantly lower ( p = 0.006), while α ‐angle ( p = 0.003) and clot index (ci) ( p = 0.048) were significantly higher in urosepsis group.The area under the k value curve excluding urosepsis was 0.667.The areas under ci and α ‐angle curves for diagnosing urosepsis were 0.682 and 0.621, respectively.The patients in sic group had significantly higher k value, lower α ‐angle, and maximum amplitude (ma) than those in non‐sic group ( p &lt; 0.05).Coagulopathy is prone to occur in patients with urosepsis.Teg is helpful for assessment of hypercoagulable state in urosepsis and prediction of hypocoagulability in sic patients implying the dynamic process of dic.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Research Article;
To Investigate Whether Hematocrit Affects Thromboelastography Parameters

Thromboelastogram (teg) is an experiment to detect coagulation function with whole blood.Red blood cell (rbc) is the most abundant component of blood.Whether rbc has an impact on the results of thromboelastogram?Study design and methods .The correlation between hematocrit (hct) and teg was analyzed.17 samples were reconstituted with different hct.They were tested separately.Correction tests were performed on 17 samples from patients with anemia.Hct was corrected to 0.40 in female and 0.45 in males.The correction formula was determined according to the experimental correction.Results .Hct was negatively correlated with teg parameters.As hct increased, ci and angle decreased ( p &lt; 0.05, p &lt; 0.001) and k increased ( p &lt; 0.001) in reconstituted samples.In the correction test, the angle measured value was 69.48 ± 4.98 and corrected value was 62.48 ± 6.25, ma measured value was 61.44 ± 7.10 and corrected value was 55.94 ± 7.12, k measured value was 1.45 ± 0.48 and corrected value was 2.11 ± 0.79, and ci measured value was 1.07 ± 1.67 and corrected value was −0.45 ± 1.64.There was a significant difference.The correction formulas of anemia were derived from the experimental correction results.K correction value = (0.7903 ∗ a 2 − 2.1803 a + 2.8268) ∗ k measured value ; tan angle correction value = tan angle measured value /(0.6596 ∗ a 2 − 1.7478 a + 2.4608); ma correction value = ma measured value /(0.1853ln ( a ) + 1.0197); ci correction value = −0.6516r measured value − 0.3772 k correction value + 0.1224ma correction value + 0.0759angle correction value − 7.7922.Conclusion .Hct has a negative impact on teg parameters.Coagulation state of anemia patients is overestimated by teg.The test results of anemia patients need to be corrected whether through the experimental correction or the formula correction.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Research Article;
Prediction Model of Ischemic Stroke Recurrence Using PSO-LSTM in Mobile Medical Monitoring System

Ing at the problems of low prediction accuracy and low sensitivity of traditional ischemic stroke recurrence prediction methods, which limits its application range, by introducing an adaptive particle swarm optimization (pso) algorithm into the long and short-term memory (lstm) model, a prediction model of ischemic stroke recurrence using deep learning in mobile medical monitoring system is proposed.First, based on the clustering idea, the particles are divided into local optimal particles and ordinary particles according to the characteristic information and distribution of different particles.By updating the particles with different strategies, the diversity of the population is improved and the problem of local optimal solution is eliminated.Then, by introducing the adaptive pso algorithm into the lstm, the pso-lstm prediction model is constructed.The optimal super parameters of the model are determined quickly and accurately, and the model is trained combined with the patient’s clinical data.Finally, by using smote method to process the original data, the imbalance of positive and negative sample data is eliminated.Under the same conditions, the proposed pso-lstm prediction model is compared with two traditional lstm models.The results show that the prediction accuracy of pso-lstm model is 92.0%, which is better than two comparison models.The effective prediction of ischemic stroke recurrence is realized.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Prevention of Business Risks of Internet Information Security Platforms Based on Blockchain Technology

The increasing maturity of internet information technology has led to the rapid rise of blockchain technology.In essence, a blockchain is a shared database.In recent years, blockchain technology has attracted the attention of the public and society.With the continuous development of the market economy, many domestic enterprises have grown in size.At the same time, companies are also faced with various risks, and business risks will have a great impact on the company’s production.This article aims to prevent the business risk of internet information security platform enterprises based on blockchain technology.Through the po s algorithm, po w algorithm, secure hash algorithm, and the principle of direct trust, the internet information security platform is designed.Firstly, the platform is used for a business risk test with a small company, and the platform satisfaction survey is conducted on the employees of the company.The test results show that the subplatform design reduces the business risk of the company by 5%–10%, and employee satisfaction is high.The signature simulation of this algorithm under the same conditions as the smra and rsar methods is also carried out.The results show that the performance of this algorithm is better.This study opens up a new path for small and medium-sized enterprises to prevent business risks.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Clinical Data Analysis for Prediction of Cardiovascular Disease Using Machine Learning Techniques

Cardiovascular disease is difficult to detect due to several risk factors, including high blood pressure, cholesterol, and an abnormal pulse rate.Accurate decision-making and optimal treatment are required to address cardiac risk.As machine learning technology advances, the healthcare industry’s clinical practice is likely to change.As a result, researchers and clinicians must recognize the importance of machine learning techniques.The main objective of this research is to recommend a machine learning-based cardiovascular disease prediction system that is highly accurate.In contrast, modern machine learning algorithms such as rep tree, m5p tree, random tree, linear regression, naive bayes, j48, and jrip are used to classify popular cardiovascular datasets.The proposed cdps’s performance was evaluated using a variety of metrics to identify the best suitable machine learning model.When it came to predicting cardiovascular disease patients, the random tree model performed admirably, with the highest accuracy of 100%, the lowest mae of 0.0011, the lowest rmse of 0.0231, and the fastest prediction time of 0.01 seconds.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;