syedzayyan/paper_mill_benchmark huggingface dataset:
ZNF354C Mediated by DNMT1 Ameliorates Lung Ischemia-Reperfusion Oxidative Stress Injury by Reducing TFPI Promoter Methylation to Upregulate TFPI

Pulmonary ischemia reperfusion- (i/r-) induced dysfunction is a significant clinical problem after lung transplantation.In this study, we aim to explore the molecular mechanism of lung i/r injury (liri).Methods.Bioinformatic analysis of gene involved in oxidative stress.A huvec oxygen glucose deprivation/reoxygenation (ogd/r) model and i/r mouse model were first established via i/r.The cellular proliferation, migration, reactive oxygen species (ros), and parameters of lung injury were assessed via cck-8, ed u staining, transwell, cellular ros kit, and h&amp;e staining.We also confirmed related gene expressions and protein levels and the interaction between the tissue factor pathway inhibitor (tfpi) promotor and znf354c.Results.Bioinformatic analysis results showed tfpi contributed to oxidative stress.Ogd/r caused a reduction in cell viability and migration, hypermethylation of tfpi, increased ros, and downregulation of znf354c, tfpi, and dna methyltransferases (dnmts) in huvecs.Besides, znf354c could directly bind to the tfpi promoter, enhance proliferation and migration, and inhibit ros in ogd/r-induced huvecs by upregulating tfpi.More importantly, we discovered that 5-aza could reduce tfpi methylation, upregulate tfpi, and enhance the binding of znf354c to the tfpi promoter in liri.Furthermore, dnmt1 silencing could induce proliferation and migration and prevent ros in ogd/r-induced huvecs by upregulating znf354c.Additionally, we verified that znf354c could alleviate liri by preventing dna methylation in vivo.Conclusions.Znf354c overexpression induced proliferation and migration, as well as suppressed ros in ogd/r-induced huvecs, and alleviated liri in mice by inhibiting tfpi promoter methylation to upregulate tfpi.Therefore, znf354c and tfpi methylation might be promising molecular markers for liri therapy.

Journal: Oxidative Medicine and Cellular Longevity (2022)
Publication types: Research Article;
Wireless Network of Silver Film Lysozyme Aptasensor Based on Fractal Measurement

In this work, we reported a wireless network composed of silver film-based graphene oxide-fluorescence resonance energy transfer (go-fret) lysozyme aptasensor nodes.At the sensor node level, we optimized silver substrate structure, concentrations of the aptamers, and graphene oxide and tested lysozyme detection performance with a model analyte.At the network level, we analyzed the complexity and transmission success rate using fractal measurements.We implemented the wireless network composed of the aptasensor with a portable wi-fi fluorescent reader.Transmission success rate testing results show that an increase in node hops can promote the rate of transmission success dramatically.When the hop count is larger than 6, the rate of transmission success can reach more than 90% if the transmission failure probability and sleep probability are 0.1 and 0.5, respectively.

Journal: Security and Communication Networks (2021)
Publication types: Research Article;
Verification of Ferroptosis Subcluster-Associated Genes Related to Osteosarcoma and Exploration of Immune Targeted Therapy

Despite tremendous advances in treating osteosarcoma (os), the survival rates of patients have failed to improve dramatically over the past decades.Ferroptosis, a newly discovered iron-dependent type of regulated cell death, is implicated in tumors, and its features in os remain unascertained.We designed to determine the involvement of ferroptosis subcluster-related modular genes in os progression and prognosis.Methods.The os-related datasets retrieved from geo and target database were clustered for identifying molecular subclusters with different ferroptosis-related genes (frgs) expression patterns.Weighted gene coexpression network analysis (wgcna) was applied to identify modular genes from frg subclusters.The least absolute shrinkage and selection operator (lasso) algorithm and multivariable cox regression analysis were adopted to develop the prognostic model.Potential mechanisms of development and prognosis in os were explored by gene ontology (go), kyoto encyclopedia of genes and genomes (kegg), and gene set enrichment analysis (gsea).Then, a comprehensive analysis was conducted for immune checkpoint markers and assessment of predictive power to drug response.The protein expression levels of the three ferroptosis subcluster-related modular genes were verified by immunohistochemistry.Results.Two independent subclusters presenting diverse expression profiles of frgs were obtained, with significantly different survival states.Ferroptosis subcluster-related modular genes were screened with wgcna, and the gesa results showed that ferroptosis subcluster-related modular genes could affect the cellular energy metabolism, thus influencing the development and prognosis of osteosarcoma.A prognostic model was established by incorporating three ferroptosis subcluster-related modular genes (lrrc1, aco2, and ctnnbip1) and a nomogram by integrating clinical features, and they were evaluated for the predictive power on os prognosis.The 20 immune checkpoint-related genes confirmed the insensitivity to tumor immunotherapy in high-risk patients.Ic50s of axitinib and cytarabine suggested a higher sensitivity to the targeted drug.Finally, the quantitative reverse transcription-polymerase chain reaction (q rt-pcr) and immunohistochemistry were consistent with bioinformatics analysis.Conclusion.Ferroptosis are closely associated with the os prognosis.The risk-scoring model incorporating three ferroptosis subcluster-related modular genes has shown outstanding advantages in predicting patient prognosis.

Journal: Oxidative Medicine and Cellular Longevity (2022)
Publication types: Research Article;
A Cloud Computing-Based Intelligent Forecasting Method for Cross-Border E-Commerce Logistics Costs

Ing at the problems of poor forecasting effect and low accuracy and low efficiency in current cross-border e-commerce logistics cost prediction methods, a cloud computing-based intelligent method for cross-border e-commerce logistics cost prediction is proposed.Analyze cloud computing concepts, characteristics, and service models, study cloud computing-related technologies, and train bp neural network algorithms based on bp neural network principles.The bp neural network structure is obtained by determining the number of neurons in the input layer, the number of neurons in the hidden layer, the number of neurons in the output layer, and the activation function of the neural network.Normalize the input data samples of the input layer, and select the initial weight, threshold, and learning rate parameters of the bp neural network to determine the momentum coefficient.This paper uses neural network model combined with spark cloud computing platform to realize the intelligent prediction of cross-border e-commerce logistics cost.This method has good predictive ability.After a large amount of data input and output relationship training, it has obtained the most suitable model for prediction.The experimental results show that the cross-border e-commerce logistics cost prediction effect of the proposed method is good, and it can effectively improve the accuracy and efficiency of cross-border e-commerce logistics cost prediction.

Journal: Advances in Mathematical Physics (2022)
Publication types: Research Article;
3D Simulation Design and Application of Traditional Hanfu Based on Internet of Things

Chinese traditional hanfu is a kind of clothing that can reflect the changes of chinese history, culture, and dynasties.With the improvement of people’s aesthetic ability and the pursuit of national culture, hanfu has shown a state of revival.The study of hanfu has become a research hotspot in today’s era.However, there is a big difference between the design of traditional hanfu and the design of modern clothing.It not only needs to consider people aesthetics and preferences but it also needs to further consider the historical and cultural information represented by traditional chinese hanfu.This is a more critical and difficult point for hanfu designers.If hanfu cannot be well combined with history and culture, this will easily lead to a misinterpretation of hanfu.In this study, the feasibility of the 3d simulation design of hanfu was fully studied by combining the internet of things technology and the convolutional neural network method.The research results show that the internet of things technology can efficiently and accurately collect the characteristics of patterns, colors, shapes, and historical information of hanfu.The reliability of io t technology also improves the accuracy of cnn methods in predicting hanfu eigenvalues.The largest prediction error is only 2.84%.Cnn can also well capture the relationship between historical information features of hanfu and dynasties, and all predicted feature values are within the 95% confidence interval.

Journal: Discrete Dynamics in Nature and Society (2022)
Publication types: Research Article;
Tourist Demand Prediction Model Based on Improved Fruit Fly Algorithm

To accurately predict the development and change trend of the future, tourism market can effectively improve the planning and purpose of tourism development.In order to improve the accuracy of tourist demand prediction, this paper studies the tourist demand prediction model based on improved fruit fly algorithm.Aiming at the optimization defects of the traditional fruit fly optimization algorithm (foa), the model introduces two concepts of sensitivity and pheromone, improves the optimization strategy and position replacement of fruit fly, improves the diversity of fruit fly population, modifies the global optimization characteristics of the algorithm, and improves the local search ability and search efficiency of the algorithm.By combining the improved afoa with echo state network (esn), a two-stage combined prediction model (aafoa-esn) is constructed.The experimental results show that the minimum prediction error accuracy of the model is only 0.55%, which has more robust prediction effect, faster convergence speed, and higher prediction accuracy.

Journal: Security and Communication Networks (2021)
Publication types: Research Article;
TJZYF Improves Endometrial Receptivity through Regulating VEGF and PI3K/AKT Signaling Pathway

The endometrium receptivity was impaired by controlled ovarian hyperstimulation (coh), which would then lead to fertility issues and increased abortion clinically.In the present study, to explore the effectiveness of tiaojing zhuyun formula (tjzyf) in improving endometrial receptivity of coh rats and the possible active ingredients and mechanisms, an approach of network pharmacology was performed and a coh animal model was established.As analyzed, stigmasterol and quercetin may be the active ingredients of tjzyf on improving endometrial receptivity and positive regulation of ion transport, the cytokine‐mediated signaling pathway, and endocrine process, and vascular endothelial growth factor receptor signaling pathway may be involved.Eighty female rats were divided into four groups randomly: control, model, tjzyf, and tjzyf+si‐vegfa.Coh rat models were constructed by injecting with human menopausal gonadotropin (hmg) and human chorionic gonadotropin (hcg).We found that both endometrial thickness and number of embryo implantations in model were substantially reduced vs.Control.The gene and protein expressions of vegf, pi3k, and p‐akt in the uterus were significantly reduced.Tjzyf could increase the endometrial thickness and number of embryo implantations and enhance the expressions of vegf, pi3k, and p‐akt in the uterus.In the tjzyf+si‐vegfa group, the effect of tjzyf was impaired.Generally, tjzyf could improve the endometrium receptivity and facilitate embryo implantation of coh rats by upregulating vegf and enhancing the pi3k/akt signaling pathway.

Journal: BioMed Research International (2022)
Publication types: Research Article;
Time Intervals between Double Primary Breast and Ovarian Cancers and Survival Outcomes of Patients with Both Cancers: A SEER Database Analysis

The time interval rules and survival outcomes of individuals with synchronous and metachronous breast cancer (bc) and ovarian cancer (oc) were examined in this retrospective population‐based investigation.Methods .The national cancer institute’s surveillance, epidemiology, and end results database was used to create a cohort of people diagnosed with bc and oc between 1973 and 2015.Patients were separated into three groups: those with main bc followed by primary oc (group 1), those with synchronous primary breast and ovarian cancer (group 2), and those with oc prior to bc (group 3).The kaplan‐meier technique was used to assess overall survival (os) and cancer‐specific survival (css).Results .A total of 4,975 patients were identified: 2,929 patients in group 1, 680 patients in group 2, and 1,366 patients in group 3.The average duration between these tumors was 60 months (range 0–499).Approximately 50% of second primary cancer cases occurred during the first 60 months of the first primary cancer diagnosis, and more than 70% occurred within the first 120 months.The median survival time for 4,975 individuals was 140 months.Group 2 had the smallest median os (35 months), whereas group 3 had the longest (45 months) (239 months).Conclusions .The majority of second primary cancer cases occurred during the first 120 months following the diagnosis of the first original malignancy.Individuals who had primary oc prior to bc had better prognoses, whereas patients who had synchronous bc and oc had worse prognoses.

Journal: BioMed Research International (2022)
Publication types: Research Article;
The Theory of Planned Behavior for the Improvement of the Delayed Blood Donation Cycle, Optimization of the Planning Behavior, and Donor Intention

The advances in the technology applied to the health field lead the medical system to be optimized and the medical equipment and drugs to be improved, and the benefits can be seen in the prolonged human lifetime.The increased age and the lifestyle, however, increase the demand of blood for medical procedures and to save lives.The average age of blood donors has gradually increased, the number of new blood donors has grown slowly, and the allocation of blood supply and inventory is complex and many times cannot be improved.The low increase in blood donor number is a concern that needs to be overcome.Here, the theory of planned behavior was used as a tool to analyze the motivation, intention, and behavior of blood donors.The theory of planned behavior was applied in the form of questionnaires to college students.The results indicated that participation on the research motivates and educates the participants to donate blood, encourages the behavior of relatives, and leads the participants to realize the altruistic and mutually beneficial outlook on blood donation.The results also indicated the awareness of the students with respect to the importance of blood donation and that it can be an important tool in order to educate and increase the young blood donor number.

Journal: BioMed Research International (2022)
Publication types: Research Article;
The Reaction Pathway of miR-30c-5p Activates Lipopolysaccharide Promoting the Course of Traumatic and Hemorrhagic Shock Acute Lung Injury

Acute lung injury (ali) is an acute hypoxic respiratory failure caused by diffuse inflammatory injury in alveolar epithelial cells during severe infection, trauma, and shock.Among them, trauma/hemorrhagic shock (t/hs) is the main type of indirect lung injury.Despite a great number of clinical studies, indirect factor trauma/hemorrhagic shock to the function and the mechanism in acute lung injury is not clear yet.Therefore, it is still necessary to carry on relevant analysis in order to thoroughly explore its molecular and cellular mechanisms and the pathway of disease function.In our research, we aimed to identify potential pathogenic genes and do modular analysis by downloading disease‐related gene expression profile data.And our dataset is from the ncbi‐geo database.Then, we used the clusterprofiler r package, go function, and kegg pathway enrichment analysis to analyze the core module genes.In addition, we also identified key transcription factors and noncoding rnas.Based on the high degree of interaction of potential pathogenic genes and their involved functions and pathways, we identified 17 dysfunction modules.Among them, up to 9 modules significantly regulate the response to bacterial‐derived molecules, and the response to lipopolysaccharide and other related functional pathways that mediate disease development.In addition, mi r‐290, mi r‐30c‐5p, mi r‐195‐5p, and mi r‐1‐3p‐based nc rna and jun, atf1, and atf3‐based transcription factors have a total of 80 transcription drivers for functional modules.In summary, this study confirmed that mi r‐30c‐5p activates lipopolysaccharide response pathway to promote the pathogenesis of ali induced by hemorrhagic shock.This result can be an important direction for further research on related deepening diseases such as acute respiratory distress syndrome (ards).It further provides a piece of scientific medical evidence for revealing the pathogenic principle and cure difficulty of acute lung injury and also provides important guidance for the design of therapeutic strategies and drug development.

Journal: BioMed Research International (2022)
Publication types: Research Article;
The Influence of PDCA Process Management on the Incidence of Stab Wound and Psychological Anxiety of Nursing Interns

To research the influence of pdca (plan‐do‐check‐act) process management on the incidence of needle injury and psychological anxiety of nursing interns.Methods .This study belonged to the experimental study.A total of 180 nursing interns who practiced in the hospital from march 2020 to april 2022 were studied.A total of 135 interns from march 2020 to march 2021 were selected as the control group and 175 interns from april 2021 to april 2022 as the research group.Pdca process management was carried on in the research group.The control group did not make any intervention only following the routine teaching plan.The incidence of needle injury, theoretical knowledge, behavior score, self‐rating anxiety scale (sas), professional self‐efficacy questionnaire score, and nursing practice satisfaction score were evaluated before and after 12 months of management.Results .After management, the incidence of needle injury in the research group was lower compared to that in the control group, and there are statistically significant differences between groups ( p &lt; 0.05).The scores of theoretical knowledge, attitude, and behavior in the research group were higher compared to those in the control group, and there are statistically significant differences between groups ( p &lt; 0.05) after management.After 12 months of management, the sas score of the research group was lower compared to that of the control group, and there are statistically significant differences between groups ( p &lt; 0.05).The score of occupational self‐efficacy questionnaire in the research group was higher compared to that in the control group, and there are statistically significant differences between groups ( p &lt; 0.05) after pdca process management.After 12 months of management, the satisfaction score of nursing practice in the research group was higher compared to that in the control group, and there are statistically significant differences between groups ( p &lt; 0.05).Conclusion .Through pdca process management, we can keep abreast of the situation of needlestick injuries among nursing students in practice and analyze in more detail the root cause of each nursing student’s occupational exposure and the outcome of treatment.The nursing students not only learn more practical knowledge in clinical practice but also feel that the hospital values and cares for them, which greatly increases their satisfaction.

Journal: BioMed Research International (2022)
Publication types: Research Article;
The Hub Genes Related to Osteoporosis Were Identified by Bioinformatics Analysis

Osteoporosis (op) is commonly encountered, which is a kind of systemic injury of bone mass and microstructure, leading to brittle fractures.With the aging of the population, this disease will pose a more serious impact on medical, social, and economic aspects, especially postmenopausal osteoporosis (pmop).This study is aimed at figuring out potential therapeutic targets and new biomarkers in op via bioinformatics tools.After differentially expressed gene (deg) analysis, we successfully identified 97 upregulated and 172 downregulated degs.They are mainly concentrated in actin binding, regulation of cytokine production, muscle cell promotion, chemokine signaling pathway, and cytokine‐cytokine receiver interaction.According to the diagram of protein‐protein interaction (ppi), we obtained 10 hub genes: ccl5, cxcl10, egfr, hmox1, il12b, ccl7, tbx21, xcl1, pgr, and itga1.Expression analysis showed that egfr, hmox1, and pgr were significantly upregulated in estrogen‐treated osteoporotic patients, while ccl5, cxcl10, il12b, ccl7, tbx21, xcl1, and itga1 were significantly downregulated.In addition, the analysis results of pearson’s correlation revealed that ccl7 has a strong positive association with il12b, tbx21, and ccl5 and so was ccl5 with il12b.Conversely, egfr has a strong negative association with xcl1 and cxcl10.In conclusion, this study screened 10 hub genes related to op based on the geo database, laying a biological foundation for further research on new biomarkers and potential therapeutic targets in op.

Journal: BioMed Research International (2023)
Publication types: Research Article;
The Function of Retinal Thickness and Microvascular Alterations in the Diagnosis of Systemic Sclerosis

In this study, we aim to investigate retinal thickness (rt) and superficial vascular density (svd) differences between patients with systemic sclerosis (ssc) and healthy controls (hcs) by optical coherence tomography angiography (octa).Sixteen patients with a definitive ssc diagnosis without clinical signs of retinopathy and 16 normal control subjects were recruited.All individuals underwent octa scanning to assess macular rt and svd.We divided each image into nine subregions as the early treatment diabetic retinopathy study (etdrs).Visual acuity (va) was considerably different between patients with ssc (32 eyes) and control subjects (32 eyes) (p &lt; 0.001).Compared to the control group, individuals with ssc had decreased inner rt in inner superior, outer superior, outer temporal, inner temporal, center, and inner nasal regions (p &lt; 0.05).Outer rt was decreased in the outer and inner temporal regions, and full rt was decreased in the regions of outer superior, inner superior, inner temporal, and outer temporal, in comparison to the control group (p &lt; 0.05).Patients with ssc had significant reduction of svd in the inner and outer of both superior and temporal, besides outer nasal regions than controls.(p &lt; 0.05).Moreover, svd was significantly associated with the outer temporal region of patients suffering from ssc (p &lt; 0.05).Diagnostic sensitivity of rt and svd of inner superior regions in ssc, as indicated by areas under curves of the receiver operating characteristic (roc), were 0.874 (95% ci: 0.786–0.962) and 0.827 (95% ci: 0.704–0.950), respectively.In conclusion, va may be affected by rt variations inside the macula in patients with ssc.Measuring rt with octa could be a useful predictor of early diagnosis.

Journal: BioMed Research International (2023)
Publication types: Research Article;