syedzayyan/paper_mill_benchmark huggingface dataset:
N-myc Downstream-Regulated Gene 1 (NDRG1) Regulates Vascular Endothelial Growth Factor A (VEGFA) and Malignancies in Glioblastoma Multiforme (GBM)

Ndrg1 has been reported to exhibit relatively low expression levels in glioma tissues compared with adjacent brain tissues.Additionally, ndrg1 is reported to be a tumor suppressor with the potential to suppress the proliferation, invasion, and migration of cancer cells.However, its exact roles in gbm are still unknown.Methods .Gene expression profiling interactive analysis (gepia) was employed to evaluate the expression level of ndrg1 in gbm.After the introduction of ndrg1, proliferation, analyses of colony formation, migration, and invasion capacities were performed.A luciferase reporter assay was performed to detect the effect of ndrg1 on the vascular endothelial growth factor a (vegfa) promoter.Results .In this study, data from gbm and healthy individuals were retrospectively collected by employing gbm, and vegfa was found to be differentially expressed in gbm tissues compared with adjacent brain tissues.Furthermore, ndrg1 expression is positively correlated with vegfa expression, but not expression of the other two vegf isoforms, vegfb and vegfc.In the glioma cell lines u87mg and u118, overexpression of ndrg1 significantly upregulated vegfa.By performing a dual‐luciferase reporter assay, it was observed that overexpressed ndrg1 transcriptionally activated vegfa.Expectedly, overexpression of ndrg1 decreased cell viability by blocking cell cycle phases at g1 phase.Additionally, overexpression of ndrg1 inhibited invasion, colony formation, and tumor formation in soft agar.Remarkably, vegfa silencing or blockade of vegf receptor 2 (vegfr2) further inhibited malignant behaviors in soft agar, including proliferation, invasion, colony formation, and tumor formation.Conclusions .Ndrg1‐induced vegfa exerts protective effects in gbm via the vegfa/vegfr2 pathway.Therefore, targeting both ndrg1 and vegfa may represent a novel therapy for the treatment of gbm.

Journal: BioMed Research International (2022)
Publication types: Research Article;
Mutation Detection and Functional Analysis of MSX1, PAX9, AXIN2, and BMP in Nonsyndromic Congenital Missing Teeth Based on Intelligent Image Detection

Due to the complexity of clinical manifestations and the lack of standardized diagnostic criteria, it is still difficult to distinguish the etiological types of congenital edentulousness corresponding to genetic defects.This paper studies the application of deep learning image processing and digital image processing in medical images in detail and analyzes the functions of congenital edentulous hotspot genes.The cases in the control group and the study group were collected, and the gene mutations of direct sequence msx1, pax9, axin2, and bmp were analyzed, and new pathogens were found.The experimental results suggest that pax9 and msx1 genes may have a synergistic effect in nonsyndromic congenital edentulous patients.In severely missing teeth, the role of pax9 may be greater than that of msx1.The experimental results will help us lay the foundation for further understanding of the disease in the future.

Journal: BioMed Research International (2022)
Publication types: Research Article;
miR-29b Regulates Lung Cancer Progression by Downregulating FEM1B and Inhibiting the FOX01/AKT Pathway

Lung cancer is a relatively common type of cancer, and the incidence rate has been on the rise in recent years.Micro rnas are a class of endogenous small rna molecules, which are essential for the posttranscriptional regulation of genes.Mi r-29b is closely related to the occurrence and development of tumors, including prostate cancer, colon cancer, and breast cancer.However, few studies have been performed to explore the expression and pathway of mi r-29b in non-small-cell lung cancer (nsclc).Methods.Using bioinformatics analysis, we found that patients with low relative expression of the mi r-29b gene have a low long-term survival rate.The results of in vitro research showed that when mi r-29b expression was upregulated, the invasion, migration, and proliferation of a549 and nci-h-1792 cells was inhibited, and the apoptosis was accelerated.Results.The results showed that fem1b is a mi r-29b target gene, and the expressions of fem1b and mi r-29b were negatively correlated.Like the upregulation of mi r-29b expression, silencing the fem1b expression could also impair the invasion, migration, and proliferation abilities of a549 and nci-h-1792 cells.When fem1b expression was restored, the inhibitory effect of mi r-29b could be reversed.Reverse transcription-polymerase chain reaction (rt-pcr) and western blot (wb) analysis showed that overexpression of mi r-29b could inhibit the expression of fem1b, akt, vascular endothelial growth factor (vegf), and sirt3 in a549 and nci-h-1792 cells and upregulate the expression of foxo1 protein.Conclusion.The results of this study indicate that mi r-29b inhibits the proliferation and deterioration of nsclc cells by targeting fem1b and inhibiting the activation of the foxo1/akt pathway.Mi r-29b may become a new target for the clinical diagnosis and treatment of lung cancer, and it is expected to become a new inhibitor of nsclc.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Meta-Analysis of the Efficacy and Safety of Chlorhexidine for Ventilator-Associated Pneumonia Prevention in Mechanically Ventilated Patients

To explore the efficacy and safety of chlorhexidine oral care in the prevention of ventilator-associated pneumonia (vap) by means of meta-analysis.Methods.Randomized controlled trials on the effect of chlorhexidine oral care on the incidence of vap in patients on mechanical ventilation were searched in pub med, scopus, cochrane library, and embase from may 1, 2022.Two researchers independently screened and included the study, extracted the data, and evaluated the literature quality.Rev man5.3 software was used for meta-analysis.Results.Meta-analysis of 13 included literature studies involving 1533 patients showed that oral care with chlorhexidine solution could reduce the incidence of vap in patients with mechanical ventilation and the difference was statistically significant (rr = 0.61, 95% ci (0.46, 0.82), p = 0.04 ).However, the results showed that the incidence of vap of low concentration (0.02%, 0.12%, and 0.2%) and high concentration (2%) of chlorhexidine in the intervention group was lower than that in the control group and the difference was statistically significant (rr = 0.70, 95% ci (0.51, 0.96), p = 0.03 ; rr = 0.41, 95% ci (0.27, 0.62)).There was no significant difference in mortality between the two groups (rr = 1.01, 95% ci (0.85, 1.21), p = 0.87 ).There was no statistical significance in days ventilated or days in icu between the two groups (rr = −0.02, 95% ci (−0.19, 0.16), p = 0.84 ; rr = 0.01, 95% ci (−0.11, 0.14), p = 0.85 ).Conclusion.Existing evidence shows that chlorhexidine used for oral care of patients with mechanical ventilation can reduce the incidence of vap, and high concentration of chlorhexidine (2%) or low concentration of chlorhexidine (0.02%, 0.12%, 0.2%) has a significant effect on the prevention of vap.Considering the safety of clinical application, it is recommended to use 0.02%, 0.12%, and 0.2% chlorhexidine solution for oral care.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Meta-Analysis;
Machine Learning-Based Performance Comparison to Diagnose Anterior Cruciate Ligament Tears

In recent times, knee joint pains have become severe enough to make daily tasks difficult.Knee osteoarthritis is a type of arthritis and a leading cause of disability worldwide.The middle of the knee contains a vital portion, the anterior cruciate ligament (acl).It is necessary to diagnose the acl ruptured tears early to avoid surgery.The study aimed to perform a comparative analysis of machine learning models to identify the condition of three acl tears.In contrast to previous studies, this study also considers imbalanced data distributions as machine learning techniques struggle to deal with this problem.The paper applied and analyzed four machine learning classification models, namely, random forest (rf), categorical boosting (cat boost), light gradient boosting machines (lgbm), and highly randomized classifier (etc) on the balanced, structured dataset of acl.After oversampling a hyperparameter adjustment, the above four models have achieved an average accuracy of 95.72%, 94.98%, 94.98%, and 98.26%.There are 2070 observations and eight features in the collection of three diagnosis acl classes after oversampling.The area under curve value was approximately 0.998, respectively.Experiments were performed using twelve machine learning algorithms with imbalanced and balanced datasets.However, the accuracy of the imbalanced dataset has remained under 76% for all twelve models.After oversampling, the proposed model may contribute to the investigation of acl tears on magnetic resonance imaging and other knee ligaments efficiently and automatically without involving radiologists.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Machine Learning Implementation of a Diabetic Patient Monitoring System Using Interactive E-App

Lifestyle influences morbidity and mortality rates in the world.Physical activity, a healthy weight, and a healthy diet are key preventative health behaviours that help reduce the risk of developing type 2 diabetes and its complications, such as cardiovascular disease.A healthy lifestyle has been shown to prevent or delay chronic diseases and their complications, but few people follow all recommended self‐management behaviours.This work seeks to improve knowledge of factors affecting type 2 diabetes self‐management and prevention through lifestyle changes.This paper describes the design, development, and testing of a diabetes self‐management mobile app.The app tracked dietary consumption and health data.Bluetooth movement data from a pair of wearable insole devices are used to track carbohydrate intake, blood glucose, medication adherence, and physical activity.Two machine learning models were constructed to recognise sitting and standing.The svm and decision tree models were 86% accurate for these tasks.The decision tree model is used in a real‐time activity classification app.It is exciting to see more and more mobile health self‐management apps being used to treat chronic diseases.

Journal: Computational Intelligence and Neuroscience (2021)
Publication types: Research Article;
Machine Learning and Cloud-Based Knowledge Graphs to Recognize Suicidal Mental Tendencies

To improve the quality of knowledge service selection in a cloud manufacturing environment, this paper proposes a cloud manufacturing knowledge service optimization decision method based on users’ psychological behavior.Based on the characteristic analysis of cloud manufacturing knowledge service, establish the optimal evaluation index system of cloud manufacturing knowledge service, use the rough set theory to assign initial weights to each evaluation index, and adjust the initial weights according to the user’s multiattribute preference to ensure that the consequences are allocated correctly.The system can help counselors acquire psychological knowledge in time and identify counselors with suicidal tendencies to prevent danger.This paper collected some psychological information data and built a knowledge graph by creating a dictionary and generating entities and relationships.The han language processing word segmentation tool generates keywords, and chi (chi-square) feature selection is used to classify the problem.This feature selection is a statistical premise test that is acceptable when the chi-square test results are distributed with the null hypothesis.It includes the pearson chi-square test and its variations.The chi-square test has several benefits, including its distributed processing resilience, ease of computation, broad information gained from the test, usage in research when statistical assumptions are not satisfied, and adaptability in organizing information from multiple or many more group investigations.For improving question and answer efficiency, compared with other models, the bi lstm (bidirectional long short-term memory) model is preferred to build suicidal tendencies.The han language processing is a method that is used for word segmentation, and the advantage of this method is that it plays a key role in the word segmentation tool and generates keywords, and chi (chi-square) feature selection is used to classify the problem.Text classifier detects dangerous user utterances, question template matching, and answer generation by computing similarity scores.Finally, the system accuracy test is carried out, proving that the system can effectively answer the questions related to psychological counseling.The extensive experiments reveal that the method in this paper’s accuracy rate, recall rate, and f1 value is much superior to other standard models in detecting psychological issues.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Long Noncoding RNA HLA Complex Group 18 Improves the Cell Proliferation of Myocardial Fibroblasts by Regulating the Hsa-microRNA-133a/Epidermal Growth Factor Receptor Axis

Hsa-micro rna (has-mi r)-133a inactivates the extracellular signal-regulated kinase 1/2 (erk1/2) pathway and suppresses the cell proliferation of myocardial fibroblasts by downregulation of the epidermal growth factor receptor (egfr) expression.Bioinformatics analysis exhibits extended noncoding rna hla complex group 18 (lnc rna-hcg18) binds to hsa-mi r-133a.The purpose of the current experiment is to explore whether lnc rna-hcg18 adsorbed hsa-mi r-133a through sponging, resulting in decreased inhibition of hsa-mi r-133a on egfr and ultimately promoting the proliferation of myocardial fibroblasts.To verify and study the correlation and mechanism between lnc rna-hcg18, hsa-mi r-133a, and their target genes.Firstly, after overexpression/silencing of lnc rna-hcg18 in myocardial fibroblasts, the level of hsa-mi r-133a expression was evaluated by quantitative reverse transcription-polymerase chain reaction (rt-q pcr), and the egfr, erk1/2, and p-erk1/2 expression levels were assessed by western blotting to confirm that upregulation of egfr and p-erk1/2 protein levels by overexpression of lnc rna-hcg18, si rna lnc rna-hcg18 (si hcg18) reduced the egfr and p-erk1/2 protein levels.Then, the luciferase reporter gene system was used to verify that lnc rna-hcg18 regulated egfr expression by inhibiting the function of the hsa-mi r-133a regulatory target gene.Then, a rap assay was used to confirm that lnc rna-hcg18 interacted with hsa-mi r-133a.Finally, the analysis of cck-8 results indicated that the cell proliferation of myocardial fibroblasts was significantly reduced by si hcg18 while reversed by overexpression of lnc rna-hcg18.Thus, lnc rna-hcg18 inhibited cell viability of cardiac fibroblasts via the hsa-mi r-133a/egfr axis, which was regarded as a regulator of cell proliferation of cardiac fibroblasts in cardiovascular diseases.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Lentinan Enhances the Function of Oxaliplatin on the Esophageal Tumors by Persuading Immunogenic Cell Death

The focus of this research was to look at the effects of the combination of the lentinan (lnt) and oxaliplatin (oxa) on the apoptosis of human esophageal cancer cells, as well as the underlying mechanism.Methods.Lnt and oxa were used to treat ec-109 human esophageal cancerous cells at various doses, and the cell survival rate was measured using the cell counting kit-8 (cck-8) assay.In addition, 24 h after treatment of ec-109 cells with a combination of lnt and oxa, flow cytometry was used to analyze their apoptotic effect on these cells.Additionally, lnt on ec-109 cell apoptotic upshot was assessed via measuring the consequence of lnt on the m rna and protein expression levels pertaining to immunogenic cell death factors calr, hsp90, and hsp70 by q pcr (quantitative real-time polymerase chain reaction) and western blot analysis, correspondingly.Results.Cell proliferation was inhibited only when ec-109 cells were added with lnt at 1,200 μg/m l to the maximum concentrations, but the combination of lnt and oxa at a low dose (800 μg/m l and 20 μm, respectively) significantly increased their sensitivity to oxa and reduced their proliferation ( p &lt; 0.05 ), and their apoptosis was significantly increased by lnt ( p &lt; 0.05 ).The immunogenic cell death-related genes calr, hsp90, and hsp70 had dramatically enhanced m rna and protein expression levels after therapy with a combination of lnt and oxa ( p &lt; 0.05 ).Conclusion.These data imply that lnt increases the susceptibility of esophageal cancerous cells to oxa by driving ec-109 cells to display immunogenic death.Therefore, lnt combined with oxa may be an effective method in esophageal cancer management.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Innovate a Standard for the Future Model of Nursing Care at Medical-Surgical Units in Najran University

Innovate a standard for the future model of nursing care at medical‐surgical units in najran university through a training program for the standard of the future model evaluation on studied nurses’ knowledge, attitude about innovation standards, and innovative behavior among nurses.Methods .A quasi‐experimental research was used to achieve the study’s goal; the research was carried out at najran university hospital at najran, in the medical and surgical units, as well as outpatient clinics.The sample is a convenience type; 100 nurses were used.Tool .A structured questionnaire sheet was used for data collection that includes nurses’ knowledge, attitude, and individual innovative scale.Results .This reveals the studied nurses related to their individual innovative scale pre‐ and postintervention.Concerning resistance to change, the mean of them preintervention is x ̅ sd 9.08 ± 2.60.Concerning opinion leadership, the mean of them postintervention is x ̅ sd 14.32 ± 3.16.There is a highly significant difference ( p &lt; 0.01 ∗∗ ) preintervention as regards all domains listed.Conclusion .The educational program significantly enhances nurses’ knowledge and attitude, according to our present study.Nurses’ innovative skills are also improved by enhancing their knowledge and attitude.Before and after the educational program was implemented, there was a highly positive linear association between the nurses’ knowledge, attitude, and innovative skills at p &lt; 0.01.

Journal: BioMed Research International (2022)
Publication types: Research Article;
Implementation of Machine Learning Models for the Prevention of Kidney Diseases (CKD) or Their Derivatives

Chronic kidney disease (ckd) is a global health issue with a high rate of morbidity and mortality and a high rate of disease progression.Because there are no visible symptoms in the early stages of ckd, patients frequently go unnoticed.The early detection of ckd allows patients to receive timely treatment, slowing the disease’s progression.Due to its rapid recognition performance and accuracy, machine learning models can effectively assist physicians in achieving this goal.We propose a machine learning methodology for the ckd diagnosis in this paper.This information was completely anonymized.As a reference, the crisp‐dm® model (cross industry standard process for data mining) was used.The data were processed in its entirety in the cloud on the azure platform, where the sample data was unbalanced.Then the processes for exploration and analysis were carried out.According to what we have learned, the data were balanced using the smote technique.Four matching algorithms were used after the data balancing was completed successfully.Artificial intelligence (ai) (logistic regression, decision forest, neural network, and jungle of decisions).The decision forest outperformed the other machine learning models with a score of 92%, indicating that the approach used in this study provides a good baseline for solutions in the production.

Journal: Computational Intelligence and Neuroscience (2021)
Publication types: Research Article;
K-Means Clustering Algorithm-Based Detection of Carotid Atherosclerotic Plaque Using Contrast-Enhanced Ultrasound Images

The aim of this study was to investigate the diagnostic value of contrast-enhanced ultrasound (ceus) based on the k-means clustering (kmc) algorithm for the vulnerability of carotid atherosclerotic plaque (caa).In this study, 90 patients with caa were enrolled into a control group (group a) and an experimental group (group b).The angiography method and kmc-based ultrasound detection were applied to diagnose the caa patients from the two groups, respectively.The results showed that the sensitivity, specificity, and positive predictive value of patients from group b (92.3%, 90.1%, and 94.8%) for diagnosing caa were obviously higher than those of patients from group a (81.4%, 88.6%, and 75.3%) ( p &lt; 0.05 ).The detection rate of patients from group b (83%, 85%) was dramatically higher than that of patients from group a (65%, 71%) in terms of artery bifurcation and caa ( p &lt; 0.05 ).Besides, patients from group b were more satisfied with their diagnostic method than group a ( p &lt; 0.05 ).In conclusion, the ultrasound detection method based on kmc had high sensitivity, specificity, and accuracy in the detection of caa.In addition, ultrasound detection was better than angiography in the diagnosis of plaque in different parts, and it was worthwhile to apply the ultrasound detection method based on kmc in clinical practice.

Journal: Scientific Programming (2021)
Publication types: Research Article;
Glycyrrhizic Acid Inhibits Core Fucosylation Modification Modulated EMT and Attenuates Bleomycin-Induced Pulmonary Fibrosis

Idiopathic pulmonary fibrosis (ipf) is a fatal and incurable chronic interstitial lung disease with an unknown etiology.Recent evidence suggests that epithelial-mesenchymal transition (emt) is one of the possible factors in the pathogenesis of pulmonary fibrosis.Glycyrrhizic acid (ga) is a natural active ingredient extracted from the root of the traditional chinese herb licorice, which has been shown in previous studies to have the effect of alleviating lung injury.In this study, our objective was to investigate whether ga could ameliorate pulmonary fibrosis by altering emt, as well as the therapeutic potential of changing core fucosylation (cf) to target emt-related pathways.First, we verified that ga partially reverses emt in a rat model of bleomycin-induced lung interstitial fibrosis, alleviating pulmonary fibrosis, and implying that ga has antifibrotic potential.Next, we discovered that ga attenuated lung interstitial fibrosis by reducing cf modifications to some extent.Interestingly, we found that ga therapy reduced the expression of phosphorylated smad2/3 (p-smad2/3) and β-catenin in the emt pathway and that ga inhibited the modification of tgf-βr and wnt receptor proteins by cf, suggesting that ga may interfere with the emt process by modulating tgf-βr, wnt core fucosylation modifications to attenuate pulmonary fibrosis.In conclusion, these findings indicate that ga could be a potential therapeutic agent for ipf, and further support the idea that targeting cf alterations could be a novel technique for the treatment of diseases involving emt.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;