syedzayyan/paper_mill_benchmark huggingface dataset:
Improvement of the Accuracy in the Identification of Coronary Artery Disease Combining Heart Sound Features

Most researchers use features of diastolic murmurs to identify coronary artery disease.However, the diastolic murmurs of coronary artery disease are usually very weak and are easily contaminated by noise and valvular murmurs.Therefore, the diagnostic accuracy of coronary artery disease when only using diastolic murmurs is not well.An algorithm for improving the accuracy in the identification of coronary artery disease by combining the features of the first heart sound and diastolic murmurs was proposed.Firstly, a first heart sound feature extraction algorithm was used to identify coronary artery disease from noncoronary artery disease.Secondly, the empirical wavelet transform algorithm was used to decompose the diastolic heart sound into three modes, and the spectral energy of each mode was calculated to distinguish coronary artery disease from noncoronary artery disease.Then, the features of the fist heart sound, the second diastolic spectral energy, and the parameter p3, which was used to discriminate the diastolic murmurs in coronary artery disease and in valvular disease, were combined together to improve the diagnostic accuracy of coronary artery disease.The comparison experiment results show that the accuracy of the proposed algorithm is superior to some state‐of‐the‐art methods when they are used to diagnose coronary artery disease.

Journal: BioMed Research International (2022)
Publication types: Research Article;
Improved Artificial Neural Network with State Order Dataset Estimation for Brain Cancer Cell Diagnosis

Brain cancer is one of the cell synthesis diseases.Brain cancer cells are analyzed for patient diagnosis.Due to this composite cell, the conceptual classifications differ from each and every brain cancer investigation.In the gene test, patient prognosis is identified based on individual biocell appearance.Classification of advanced artificial neural network subtypes attains improved performance compared to previous enhanced artificial neural network (eann) biocell subtype investigation.In this research, the proposed features are selected based on improved gene expression programming (igep) with modified brute force algorithm.Then, the maximum and minimum term survivals are classified by using pca with enhanced artificial neural network (eann).In this, the improved gene expression programming (igep) effectual features are selected by using remainder performance to improve the prognosis efficiency.This system is estimated by using the cancer genome atlas (cga) dataset.Simulation outputs present improved gene expression programming (igep) with modified brute force algorithm which achieves accurate efficiency of 96.37%, specificity of 96.37%, sensitivity of 98.37%, precision of 78.78%, f ‐measure of 80.22%, and recall of 64.29% when compared to generalized regression neural network (grnn), improved extreme learning machine (ielm) with minimum redundancy maximum relevance (mrmr) method, and support vector machine (svm).

Journal: BioMed Research International (2022)
Publication types: Research Article;
Implementation of Efficient Teaching Scheme of Human Anatomy and Physiology Based on Multimedia Information Processing Technologies

An application scheme based on the teaching of human anatomy and physiology, namely, pbl, is proposed.In particular, 95 medical students were randomly divided into two groups: classes 2 and 3 were the experimental classes (48 students), and then, the teaching practice was carried out according to the machine learning route; year 1 and class 4 were the control classes (47 students), and the traditional teaching method was used.The teaching effectiveness was evaluated by performance analysis, the mean score of the overall evaluation of the experimental class was (93.23 ± 2.01), the mean score of the control group was (91.51 ± 2.89), and the difference was statistically significant ( p &lt; 0.01 ).The survey showed that more than 93% of the students in the experimental class thought that the deep learning model helped stimulate their interest in learning, enhance their sense of teamwork, and improve their overall ability.

Journal: Security and Communication Networks (2022)
Publication types: Research Article;
Impact of ANN in Revealing of Viral Peptides

All organisms contain antimicrobial peptides (amps), which are a critical component of the innate immune system.These chemicals have the ability to suppress the growth of a variety of fungi, bacteria, and viruses.Because amps interact with structural components of the microbial cell membrane and have a wide range of cellular targets, bacteria are unlikely to be able to develop resistance to them in the short term.The underlying structure of amps is critical in determining the selectivity with which they target their respective targets.As far as we know, peptides have not been tested in a lab to see if they can fight bacteria, fungus, and viruses in real life.In this paper, we develop an artificial neural network (ann) using a back propagation neural network (bpnn) that enables optimal classification of tendency of a peptide sequence that involves the activities of antifungal, antibacterial, or antiviral.The bpnn is trained on the datasets collected across different repositories and then the overfitting is avoided using particle swarm optimization (pso) algorithm.Hence, at the time of testing, the bpnn clearly finds the predicted samples belonging to the same classes and this avoids the problem of finding the false positives.The simulation is conducted to test the efficacy of the model against various metrics that includes accuracy, precision, recall, and f1‐measure.The effectiveness of the bpnn‐pso model in classifying instances at a faster rate than other techniques is demonstrated by its performance.The principle is straightforward, it is not difficult to programme, it converges more quickly, and it generally offers a superior solution.

Journal: BioMed Research International (2022)
Publication types: Research Article;
Impact of Alendronate Sodium plus Elcatonin on Postoperative Bone Pain in Patients with Osteoporotic Fractures

This research aims to investigate and analyze the impact of alendronate sodium (aln) plus elcatonin (ec) in treating postoperative bone pain (bp) in patients with osteoporotic fractures (opfs).Methods.One hundred and thirty‐eight cases of opfs admitted between july 2018 and july 2021 were selected, of which 68 cases receiving aln were set as the control group and 70 cases receiving aln plus ec were set as the research group.Intercomparisons were performed in terms of bp, curative effect, complication rate, and serum bone metabolism indexes such as bone gla protein (bgp), parathyroid hormone (pth), and bone alkaline phosphatase (balp).Results.Better postoperative bp relief, higher overall response rate, and lower complication rate were identified in the research group versus the control group.On the other hand, the research group presented with increased bgp and balp after treatment, higher than those in the control group, while the posttreament pth decreased obviously and was lower versus the control group.Conclusions.For opf patients, aln plus ec contributes to significantly reduced postoperative bp, improved clinical efficacy, higher treatment safety, and better bone metabolism, which has high clinical application value.

Journal: BioMed Research International (2022)
Publication types: Research Article;
lncRNA260 siRNA Accelerates M2 Macrophage Polarization and Alleviates Oxidative Stress via Inhibiting IL28RA Gene Alternative Splicing

The macrophage transformation of inflammatory m1 to anti-inflammatory m2 could be promoted by activating pi3k/akt signaling pathway.In our previous study, it was found that downregulation of lnc rna260 could ameliorate hypoxic cardiomyocyte injury by regulating il28ra through the activation of pi3k/akt signaling pathways.It was suggested that lnc rna260 si rna could promote the macrophages toward m2 polarization by regulating il28ra.In this study, lnc rna260 si rna was used to observe its effect on the polarization of murine bone marrow-derived macrophages (bmdm) and investigate its related mechanisms.Lnc rna 260 specific si rna were designed and synthesized which were transfected into murine bmdm with liposomes.The experiment was divided into three groups: hypoxia group, hypoxia+lnc rna 260-specific si rna transfection group, and normoxia group.The cd206-apc/cd11b-fitc or cd206-fitc/cd107b (mac-3) double positive proportions were used to compare the m2 polarization proportions in the hypoxia process by using the immunofluorescence staining method.The p-akt, arg 1, pi3kcg, il28rav1, and il28rav2 protein expression changes were observed by using the western blot method.Compared with the normoxia group, the m2 proportions were significantly decreased in the hypoxia group ( p &lt; 0.05 ).Compared with the hypoxia group, the m2 proportions were significantly increased in the hypoxia+lnc rna260 si rna transfection group ( p &lt; 0.05 ).In the hypoxia group, the ratios of arg 1/β-actin, p-akt/β-actin, pi3kcg/β-actin, and il28rav1/β-actin were significantly lower than those in the normoxia group ( p &lt; 0.05 ).After transfection with lnc rna260 si rna, the ratios of arg1/β-actin, p-akt/β-actin, pi3kcg/β-actin, and il28rav1/β-actin were significantly higher than those in the hypoxia group ( p &lt; 0.05 ).Compared with the normoxia group, the il28rav2/β-actin in the hypoxia group was significantly increased ( p &lt; 0.05 ).After transfection with lnc rna260 si rna, the ratio of il28rav2/β-actin was significantly decreased than that in the hypoxia group ( p &lt; 0.05 ).Lnc rna260 si rna could promote the m2 polarization of the hypoxia macrophages by reducing the il28rav2 alternative splicing variant, which might be related to the activation of the jak-stat and pi3k/akt signaling pathways.It will provide a new strategy for the anti-inflammation, antioxidative stress therapy, and cardiac remodeling after ami.

Journal: Oxidative Medicine and Cellular Longevity (2022)
Publication types: Research Article;
Identifying a 6-Gene Prognostic Signature for Lung Adenocarcinoma Based on Copy Number Variation and Gene Expression Data

The occurrence of lung adenocarcinoma (luad) is a complicated process, involving the genetic and epigenetic changes of proto-oncogenes and oncogenes.The objective of this study was to establish new predictive signatures of lung adenocarcinoma based on copy number variations (cnvs) and gene expression data.Next-generation sequencing was implemented to obtain gene expression and cnv information.According to univariate, multivariate survival cox regression analysis, and lasso analysis, the expression profiles of lung adenocarcinoma patients were screened and a risk score formula was established and experimentally validated in a local cohort.The model was evaluated by three independent cohorts (tcga-luad, gse31210, and gse30219), and then validated by clinical samples from luad patients.A total of 844 cnv-related differentially expressed genes (cnv-related degs) were identified.These genes are significantly associated with the imbalance of various oxidative stress pathways.A cnv-associated-six gene signature was dramatically linked to overall survival in lung adenocarcinoma samples from both training and validation groups.Functional enrichment analysis further revealed involvement of genes in p53 signaling pathway and cell cycle as well as the mismatch repair pathway.Risk score is an independent marker considering clinical parameters and had better prediction in clinical subpopulation.The same signature also classified tumor tissues of clinical patients with cnv detected from their corresponding nontumorous tissues with an accuracy of 0.92.In conclusion, we identified a new class of 6 cnv-related gene markers that may act as efficient prognostic predictors of lung adenocarcinoma, thus contributing to individualized treatment decisions in patients.

Journal: Oxidative Medicine and Cellular Longevity (2022)
Publication types: Research Article;
Identification of Nine M6A-Related Long Noncoding RNAs as Prognostic Signatures Associated with Oxidative Stress in Oral Cancer Based on Data from The Cancer Genome Atlas

Although the expression of long noncoding rnas (lnc rnas) and n6-methyladenosine (m6a) is correlated with different tumors, it remains unclear how m6a-related lnc rna functioning affects the initiation and progression of oral squamous cell carcinoma (oscc).Materials and methods.Gene expression and clinical data were retrieved from the cancer genome atlas.The prognostic value of m6a-related lnc rnas was determined using univariate cox regression analyses.Gene set enrichment analysis of oscc patient clusters revealed the pathways that elucidate the mechanism.Furthermore, a risk-based model was established.The difference in the overall survival (os) between groups, including low-/high-risk groups, was determined by kaplan-meier analysis.Relationships among immune cells, clusters, clinicopathological characteristics, and risk scores were explored.Results.Among 1,080 m6a-related lnc rnas, 36 were prognosis-related.Patients with oscc were divided into two clusters.T stage and the pathological grade were noticeably lower in cluster 2 than in cluster 1.Epithelial-mesenchymal transition showed greater enrichment in cluster 1.Nine hub m6a-related lnc rnas were identified for the model of risk score for predicting oscc prognosis.The os was longer in patients with a low-risk score than in patients with a high-risk score.The risk score was an independent prognostic factor of oscc and was associated with the infiltration of different immune cells.T stages and the american joint committee on cancer (ajcc) stages were more advanced in the high-risk score group than in the low-risk score group.Finally, expression correlation analysis showed that the risk score is associated with the expression of oxidative stress markers.Conclusion.M6a-related lnc rnas play an important role in oscc progression.Immune cell infiltration was related to the risk score model in oscc and could accurately predict oscc prognosis.

Journal: Oxidative Medicine and Cellular Longevity (2022)
Publication types: Research Article;
Identification of MMP9 as a Novel Biomarker to Mitochondrial Metabolism Disorder and Oxidative Stress in Calcific Aortic Valve Stenosis

Calcific aortic valve stenosis (cavs) is the most common heart valve disorder among humans.To date, no effective method has been identified to prevent this disease.Herein, we aimed to identify novel diagnostic and mitochondria-related biomarkers of cavs, based on two machine learning algorithms.We further explored their association with infiltrating immune cells and studied their potential function in cavs.The gse12644, gse51472, and gse83453 expression profiles were downloaded from the gene expression omnibus (geo) repository.The gse12644 and gse51472 datasets were integrated to identify differentially expressed genes (degs).Gse12644 contains 10 normal and 10 cavs samples, whereas gse51472 contains 5 normal and 10 cavs samples.Go and kegg assays of degs were conducted, and the correlation between matrix metalloproteinase 9 (mmp9) expression and immune cell infiltration was explored, using cibersort.The lasso regression model and svm-rfe analysis were used to identify diagnostic genes.The expression of mmp9 in cavs and non-cavs samples was measured using rt-pcr, western blotting and immunohistochemistry.A series of functional experiments were performed to explore the potential role of mmp9 in mitochondrial metabolism and oxidative stress during cavs progression.Twenty-two degs were identified, of which six genes (scg2, ppbp, trem1, ccl19, wif1, and mmp9) were ultimately distinguished as diagnostic genes in cavs.Of these, mmp9 was indicated as a mitochondria-related gene, the expression and diagnostic value of which were further confirmed in the gse83453 dataset.Correlation analysis revealed a positive correlation between mmp9 and infiltrating immune cells.In our cohort, mmp9 expression was distinctly increased in cavs samples, and its inhibition attenuated the calcification of valve interstitial cells (vics) by suppressing mitochondrial damage and oxidative stress.Taken together, our findings suggest mmp9 as a novel mitochondrial dysfunction biomarker and therapeutic target for cavs.

Journal: Oxidative Medicine and Cellular Longevity (2022)
Publication types: Research Article;
Identification of HIBCH as a Fatty Acid Metabolism-Related Biomarker in Aortic Valve Calcification Using Bioinformatics

To identify fatty acid metabolism-related biomarkers of aortic valve calcification (avc) using bioinformatics and to research the role of immune cell infiltration for avc.Methods.The avc dataset was retrieved from the gene expression omnibus database.R package is used for differential expression genes analysis and weighted gene coexpression analysis.The differentially coexpressed genes were identified by the venn diagram, followed by gene ontology (go) and kyoto encyclopedia of genes and genomes (kegg) enrichment analyses of differentially coexpressed genes.Functions closely related to avc were identified by go and kegg enrichment analyses of differentially coexpressed genes.Genes related to fatty acid metabolism were retrieved from the molecular signatures database (msig db) database.After removing duplicate genes, least absolute shrinkage and selection operator (lasso) regression analysis, support vector machine recursive feature elimination (svm-rfe), and random forest were applied to recognize biomarkers related to fatty acid metabolism in avc.The cibersort tool was used to analyze infiltration of immune cells in normal and avc samples.Correlations between biomarkers and immune cells were calculated.Finally, hibch-related pathway was predicted by single-gene gene set enrichment analysis (gsea).Results.2416 differentially expressed genes and one coexpression module were identified.A total of 1473 differentially coexpressed genes were acquired.Go and kegg enrichment analyses demonstrated that differentially coexpressed genes were closely related to fatty acid metabolism.Lasso regression analysis, svm-ref, and random forest revealed that 3-hydroxyisobutyryl-co a hydrolase (hibch) was a biomarker of fatty acid metabolism-related genes in avc.Significant high levels of memory b cells were found in avc than normal samples, while activated natural killer (nk) cells were significantly low in avc than normal samples.A significantly positive relevance was observed between hibch and activated nk cells, regulatory t cells, monocytes, naïve b cells, activated dendritic cells, resting memory cd4 t cells, resting nk cells, and cd8 t cells.A significantly negative relevance was observed between hibch and activated memory cd4 t cells, memory b cells, neutrophils, gamma delta t cells, m0 macrophages, and plasma cells.The single-gene gsea results suggest that hibch may work through the inhibition of multiple immune-related pathways.Conclusion.Hibch is closely relevant to immune cell infiltration in avc and could be applied as a diagnostic marker for avc.

Journal: Oxidative Medicine and Cellular Longevity (2022)
Publication types: Research Article;
Identification of a miRSNP Regulatory Axis in Abdominal Aortic Aneurysm by a Network and Pathway-Based Integrative Analysis

Abdominal aortic aneurysm (aaa) refers to local abnormal expansion of the abdominal aorta and mostly occurs in elderly men.Micro rna (mi rna) is single-stranded rna consisting of 18–25 nucleotides.It plays a key role in posttranscriptional gene expression and in the regulation of human functions and disease development.Mi rna exerts its function mainly through the binding of complementary base pairs to the 3 ′ regulatory region of m rna transcripts.Therefore, mi rna-related single-nucleotide polymorphisms (mi rsnps) can affect mi rna expression and processing kinetics.Mi rsnps can be classified based on their location: mi rsnps within mi rna-producing genes and mi rsnps within mi rna target genes.Increasing evidence indicates that mi rsnps play an important role in the pathogenic kinetics of cardiovascular diseases.The aim of this study was to identify potential mi rnas and integrate them into a mi rsnp-based disease-related pathway network, the results of which are of great significance to the interpretation of the potential mechanisms and functions of mi rsnps in the pathogenesis of diseases.

Journal: Oxidative Medicine and Cellular Longevity (2022)
Publication types: Research Article;
Hyperbaric Oxygen Improves the Survival and Angiogenesis of Fat Grafts after Autologous Fat Transplantation

Currently, autologous fat transplantation (aft) still has a low graft survival rate.Elevation of the aft graft survival rate is a challenge.This study investigated the effect of hyperbaric oxygen (hbo) on aft.Methods .Twelve adult male sd rats were randomly divided into two groups after aft: the control group ( n = 6) and the hbo group ( n = 6).The rats were killed at 7, 14, and 28 days after transplantation to take the transplanted adipose tissues.The volume and weight of the tissues were detected.The pathological changes in the adipose tissues were observed after h&amp;e staining.Microvessel density and levels of transforming growth factor‐ (tgf‐) β , tumor necrosis factor‐ (tnf‐) α , and malondialdehyde (mda) in the transplanted adipose tissues were measured with cd31 immunohistochemical stain, elisa, and biochemical reagents, respectively.Additionally, the protein expression levels of vascular endothelial growth factor‐ (vegf‐) a and platelet‐derived growth factor‐ (pdgf) a in the adipose tissues were detected by western blot.Results .Hbo significantly preserved the volume and weight of the transplanted adipose tissue ( p &lt; 0.01) and maintained the pathological structure of the transplanted adipose tissue.Hbo therapy was effective in reducing inflammatory factor (tgf‐ β and tnf‐ α ) levels and oxidative stress (mda) in the transplanted adipose tissue ( p &lt; 0.01) and significantly increased the level of cd31 and angiogenesis‐related factors including vegf‐a and pdgf‐a ( p &lt; 0.01) to promote angiogenesis.Conclusion .Hbo therapy regulated the immune response of fat grafts, stimulated their angiogenesis, and ultimately promoted their survival after aft.

Journal: BioMed Research International (2022)
Publication types: Research Article;
Hybrid Encryption Scheme for Hospital Financial Data Based on Noekeon Algorithm

The previous encryption methods of hospital financial data have the problem of overburden.Therefore, a research study on hybrid encryption of hospital financial data based on noekeon algorithm is proposed.From the basic principles of the noekeon algorithm and the application and implementation of the noekeon algorithm, a hybrid encryption scheme for hospital financial data based on the noekeon algorithm is designed.In order to improve the security of the encryption system, the rsa algorithm is used to encrypt the encrypted content twice.The hybrid algorithm realizes the hybrid encryption of the hospital's financial data.Finally, a hybrid encryption system for hospital financial data based on noekeon algorithm is designed.Experimental results show that this method has a higher success rate and better comprehensive performance.It not only improves the encryption efficiency of hospital financial data but also enhances the security of hospital financial data, which has greater application value.

Journal: Security and Communication Networks (2021)
Publication types: Research Article;