syedzayyan/paper_mill_benchmark huggingface dataset:
Research on Embroidery Feature Recognition Algorithm of Traditional National Costumes Based on Double-Layer Model

In order to improve the visual communication ability of traditional national costume patterns, it is necessary to carry out image texture intelligent matching processing.A traditional national costume embroidery feature recognition algorithm based on a double-layer model is proposed.The traditional national costume pattern texture intelligent information acquisition model under the double-layer model is constructed to carry out texture imaging and feature segmentation of traditional national costume patterns, extract the texture histogram of traditional national clothing pattern and national design language, carry out texture segmentation and automatic matching under the two-layer model according to the histogram distribution, enhance and optimize the texture information of traditional national clothing pattern, extract the edge contour feature points of traditional national clothing pattern, and complete the embroidery feature recognition of traditional national clothing.The experimental results show that the designed recognition algorithm has high integrity and accuracy.

Journal: Security and Communication Networks (2021)
Publication types: Research Article;
Research on Application of Data Mining Algorithm in Cardiac Medical Diagnosis System

Heart disease is a very common high‐incidence disease.Due to the wide variety of pathology of heart disease, how to improve the medical diagnosis of heart disease and carry out earlier intervention and treatment is a problem that needs to be solved urgently.The paper adds the decision tree algorithm and its comparison and proposes an optimized classification algorithm co‐svm.Based on the establishment of a heart disease diagnosis classifier based on data mining algorithms, it is aimed at exploring which of these four algorithms is more suitable for heart disease diagnosis problems and optimizing them.A brief description of the cause, influencing factors, and acquired data of heart disease can be seen from the accuracy and scientificity of the data, which further enhances the authenticity and reliability of the clinical diagnosis model of heart disease.At the same time, the ultrasound diagnosis technology of heart disease is introduced, and the important role of ultrasound diagnosis technology in the medical diagnosis of heart disease is discussed.This thesis uses the heart disease clinical data set to establish a heart disease diagnosis classifier based on the decision tree algorithm, neural network algorithm, support vector machine algorithm, and co‐svm algorithm.Through experimental comparison and analysis, the optimal classification is selected according to the obtained results.The algorithm is co‐svm algorithm.The experimental results show that the proposed co‐svm algorithm has a higher accuracy rate than the other three classic algorithms, and the effectiveness of the co‐svm algorithm is verified by the evaluation results of multiple algorithms.By applying the co‐svm algorithm in the medical diagnosis system, it is helpful to assist doctors in making more accurate and precise diagnosis of the condition.

Journal: BioMed Research International (2022)
Publication types: Research Article;
Research on Marketing Strategy of Chinese Painting and Calligraphy Art Based on Wireless Communication Network Resources

China has a thousand years of cultural heritage, and its famous paintings and calligraphy works are all representatives of the works of art.Calligraphy and painting have changed from works of art to commodities.This is undoubtedly caused by the changes of the times and society.Calligraphy and painting have gradually formed in this process.The most basic feature that distinguishes the market from other markets is the difference in marketing strategies.Aiming at the current problems in the online marketing of chinese paintings and calligraphy works, a marketing strategy for chinese paintings and calligraphy works based on wireless communication network resources is proposed.In view of the lack of accurate analysis of the current chinese painting and calligraphy and artwork marketing and the uneven quality of the artwork, the above-mentioned problems can be improved through the allocation of wireless communication network resources.The experimental results show that the scope of dissemination of chinese paintings and calligraphy works using this marketing strategy is wider, and the marketing transaction rate and profit are greater.

Journal: Security and Communication Networks (2022)
Publication types: Research Article;
Renal Denervation Reduces Blood Pressure and Improves Cardiac Function: Results from a 12-Month Study

Previous studies showed that a decline in bp can reverse pressure‐overloaded left ventricular hypertrophy in the long term.Whether this structural remodeling and improved cardiac function were due to reduced bp levels or sympathetic tone is unclear.The aim of this study was to evaluate the efficacy of renal denervation (rdn) on cardiac function and left ventricular hypertrophy in patients diagnosed with resistant hypertension with systolic and diastolic dysfunction.Methods .Thirteen patients diagnosed with resistant hypertension underwent bilateral rdn (rdn group), and 13 patients were selected as the control group (drug group) who received regular antihypertensive drugs for the first time.Demographic analysis and hematologic tests were performed to determine renal function as well as bnp levels.Echocardiogram was performed at baseline and 12 months after rdn.Results .All the baseline characteristics are comparable in two groups.Both rdn and drug regiments resulted in significant reduction from baseline in sbp/dbp at 12‐month follow‐up (all p values &lt; 0.01), and the decline due to two interventions showed no statistically significant difference ( f = 1.64, p = 0.213 and f = 0.124, p = 0.853 for sbp and dbp, respectively).Rdn significantly reduced mean lv mass index (lvmi) from 151.43 ± 46.91 g/m 2 to 136.02 ± 37.76 g/m 2 ( p = 0.038) and ejection fraction (lvef) increased from 57.15 ± 5.49% at baseline to 59.54 ± 4.18% at 12 months ( p = 0.039).No similar changes were detected in the drug group ( p values, 0.90 for ef and 0.38 for lvmi).Renal parameters including bun, cr, ua, and e gfr at baseline, 3 months, and 12 months showed no marked difference ( p = 0.497, 0.223, 0.862, 0.075, respectively).Conclusions .Our findings show that in addition to hypertension and its progression, elevated sympathetic hyperactivity is related to left ventricular hypertrophy and cardiac function.

Journal: BioMed Research International (2022)
Publication types: Clinical Study;
Recognition of Key Genes in Human Anaplastic Thyroid Cancer via the Weighing Gene Coexpression Network

And objective .Anaplastic thyroid cancer (atc) gains the definition as an aggressive tumor that has been found in human beings.It has been put in researches that complex gene interaction networks exert an influence on atc tumor in terms of occurrence and prognosis.Therefore, this study is conducted with the purpose of recognizing possible key genes that have relation with prognosis and pathogenesis of atc.Methods .For determining pathways and key genes that have relation with development of atc, differentially expressed genes (degs) from gse33630 as well as gse65144 expression microarray were screened.Furthermore, we also worked on carrying out the task of constructing a protein‐protein interaction (ppi) network and the work of weighing gene coexpression network (wgcna).David was utilized for the performance of the gene ontology (go) as well as kegg pathway enrichment analyses for degs.We used tcga thca data and gse53072 to further verify the hub gene and hub pathway.Results .We came to the conclusion of the recognition of a total of 1063 genes as degs.Analysis regarding functional and pathway enrichment showed that there existed a notable enrichment of upregulated degs in the organization of extracellular structure and matrix organization, as well as in organelle fission and nuclear division.The downregulated deg was markedly gathered in the thyroid hormone metabolic process and generation, as well as in the metabolic process of cellular modified amino acid.We identified 10 hub genes (cxcl8, cdh1, aurka, ccna2, fn1, cdk1, itgam, cdc20, mmp9, and kif11) through the ppi network, which might be strongly linked to the carcinogenesis and the development of atc.In the coexpression network, 6 modules that were relevant to atc were recognized.The modules were related to the interaction of signaling pathway of p53, hippo, pi3k/akt, and ecm‐receptor.This hub genes and hub pathway were further successfully validated as a potential biomarker for carcinogenesis and prediction in another database gse53072.Conclusion .To summarize, this research displayed an illustration of hub genes and pathways that had relation with atc development, which suggested that degs and hub genes, recognized on the basis of bioinformatics analyses, were valuable in the diagnosis for patients with atc.

Journal: BioMed Research International (2022)
Publication types: Research Article;
Qingchang Wenzhong Decoction Alleviates DSS-Induced Inflammatory Bowel Disease by Inhibiting M1 Macrophage Polarization In Vitro and In Vivo

An imbalance of macrophage m1/m2 polarization significantly influences the pathogenesis of inflammatory bowel disease.Qingchang wenzhong decoction (qcwzd) has a proven therapeutic effect on patients with inflammatory bowel disease (ibd) and can significantly inhibit the inflammatory response in mice with colitis.However, its effect on macrophages during ibd treatment remains nebulous.Aim of the study .Explore the mechanism underlying qcwzd effects in a dextran sulfate sodium (dss)‐induced colitis mouse model in vivo and raw264.7 cell in vitro by observing macrophage polarization dynamics.Methods .The main active components of qcwzd were determined using high‐performance liquid chromatography.Surface marker expression on m1‐type macrophages was analyzed using flow cytometry and immunofluorescence.The effect on inducible nitric oxide synthase (i nos), interleukin‐6 (il‐6), and tumor necrosis factor‐ α (tnf‐ α ) released by m1 type macrophages was determined using elsa and rt‐pcr.The expression of key proteins in the jak2/stat3 signaling pathway was analyzed using western blotting.Qcwzd cytotoxicity in macrophages was measured using cck8 and annexin v‐fitc/pi assays.Results .The main active components of qcwzd were berberine chloride, coptisine chloride, epiberberine chloride, gallic acid, ginsenoside rg1, ginsenoside rb1, indigo, indirubin, notoginsenoside r1, palmatine chloride, and 6‐curcumin.Qcwzd markedly alleviated dss‐induced colitis in mice, as revealed by the rescued weight loss and disease activity index, attenuated the colonic shortening and mucosal injury associated with the inhibition of m1 macrophage polarization and expression of related cytokines, such as il‐6 and tnf‐ α , in vivo and in vitro .Furthermore, qcwzd decreased the i nos, jak2, and stat3 levels in vivo and in vitro , regulating the jak2/stat3 signaling pathway.Conclusion .Qcwzd administration improves intestinal inflammation by inhibiting m1 macrophage polarization.The jak2/stat3 signaling pathway may mediate the effects of qcwzd on m1 macrophage polarization in colitis treatment.This study presents a novel macrophage‐mediated therapeutic strategy for the treatment of ibd.

Journal: BioMed Research International (2022)
Publication types: Research Article;
Protective Effects of Amauroderma rugosum on Doxorubicin-Induced Cardiotoxicity through Suppressing Oxidative Stress, Mitochondrial Dysfunction, Apoptosis, and Activating Akt/mTOR and Nrf2/HO-1 Signaling Pathways

Clinical outcomes for doxorubicin (dox) are limited by its cardiotoxicity but a combination of dox and agents with cardioprotective activities is an effective strategy to improve its therapeutic outcome.Natural products provide abundant resources to search for novel cardioprotective agents.Ganoderma lucidum (gl) is the most well-known edible mushroom within the ganodermataceae family.It is commonly used in traditional chinese medicine or as a healthcare product.Amauroderma rugosum (ar) is another genus of mushroom from the ganodermataceae family, but its pharmacological activity and medicinal value have rarely been reported.In the present study, the cardioprotective effects of the ar water extract against dox-induced cardiotoxicity were studied in vitro and in vivo.Results showed that both the ar and gl extracts could potentiate the anticancer effect of dox.The ar extract significantly decreased the oxidative stress, mitochondrial dysfunction, and apoptosis seen in dox-treated h9c2 rat cardiomyocytes.However, knockdown of nrf2 by si rna abolished the protective effects of ar in these cells.In addition, dox upregulated the expression of proapoptotic proteins and downregulated the akt/m tor and nrf2/ho-1 signaling pathways, and these effects could be reversed by the ar extract.Consistently, the ar extract significantly prolonged survival time, reversed weight loss, and reduced cardiac dysfunction in dox-treated mice.In addition, oxidative stress and apoptosis were suppressed, while nrf2 and ho-1 expressions were elevated in the heart tissues of dox-treated mice after treatment with the ar extract.However, the gl extract had less cardioprotective effect against dox in both the cell and animal models.In conclusion, the ar water extract demonstrated a remarkable cardioprotective effect against dox-induced cardiotoxicity.One of the possible mechanisms for this effect was the upregulation of the m tor/akt and nrf2/ho-1-dependent pathways, which may reduce oxidative stress, mitochondrial dysfunction, and cardiomyocyte apoptosis.These findings suggested that ar may be beneficial for the heart, especially in patients receiving dox-based chemotherapy.

Journal: Oxidative Medicine and Cellular Longevity (2022)
Publication types: Research Article;
Progress of Noncoding RNA Regulating the Growth and Development of Antler Tissue Research

Antler is the secondary sexual characteristic of deer, which develops on the forehead at puberty.It is the only organ that can be regenerated entirely in mammals.Therefore, it is often used as a research model in the field of organ regeneration and wound repair.Many growth factors and proteins play an active role throughout the developmental process of antler regeneration.With the rapid development of sequencing technology, more and more noncoding rnas (nc rnas) have been discovered, and the relationship between nc rna and antler regeneration has gradually become clear.This paper focuses on the research progress of several nc rnas (including mi rna and lnc rna) in deer antler tissues, which are helpful to reveal the molecular mechanism of deer antler regeneration at the molecular level.

Journal: BioMed Research International (2022)
Publication types: Research Article;
Preparation of High-Refractive-Index Flexible Nanoparticle Laser Engraving Materials and Micro-Nano Sculpture Art

The continuous development of nanotechnology has brought new trends of thought and new impetus to sculpture art.In the field of microengraving, people usually use two-photon engraving technology, but not every particle conforms to the engraving process.Zn o nanoparticles have a high refractive index and are extremely flexible, making them the material of choice for laser engraving.This article aims to investigate whether the incorporation of high-refractive-index flexible nanoparticles into engraving techniques can significantly improve the functional properties of products.This paper firstly introduces the preparation methods of common nanoparticle laser engraving materials and then describes simple micro-nano sculptures on this basis.Finally, experiments on the transmittance and refractive index of zn o nanoparticles are carried out.The experimental results show that the refractive index and transmittance of this material are 1.7 and 1.039, respectively, which is very suitable for laser engraving.

Journal: Advances in Materials Science and Engineering (2022)
Publication types: Research Article;
Prediction of Escherichia coli Bacterial and Coliforms on Plants through Artificial Neural Network

The researchers investigated the efficiency of several disinfectants in reducing coliforms and escherichia coli rates on carrots and lettuce, as well as using ann to calculate the bacteria on the edible plants.Fresh greens leaves are cleaned and dried in sterile water.Vaccinated leafy greens vegetables were immersed in a vessel and treated with chlorine, and we choose plant extracts to evaluate the impact of the extraction.The p h measurement was evaluated for both acids.After each treatment type was held at 4°c for 0, 1, 5, and 7 days, respectively, cumulative bacterial counts were evaluated.The quantity of surviving coliforms and escherichia coli on lettuce was decreased by roughly 2-3 log 10 cfu/g (p 0.05) as the hypochlorite acids concentration is higher, compared to just about 1 log 10 cfu/g decrease on carrots.However, whenever the pa level is higher, the bacterium rates on carrots significantly decreased by 3-4 log 10 cfu/g ( p &gt; 0.05 ), whereas the rates on lettuce leaves have only been lowered.The highest summation squared errors for remaining coliforms and e.Coli via neural predictions were 0.40 and 0.64, correspondingly, while the highest regression analysis for remnant coliforms and e.Coli was 0.95 and 0.82, including both.

Journal: Advances in Materials Science and Engineering (2022)
Publication types: Research Article;
Parallel Classification Algorithm Design of Human Resource Big Data Based on Spark Platform

In order to solve the problem of large data classification of human resources, a new parallel classification algorithm of large data of human resources based on the spark platform is proposed in this study.According to the spark platform, it can complete the update and distance calculation of the human resource big data clustering center and design the big data clustering process.Based on this, the k-means clustering method is introduced to mine frequent itemsets of large data and optimize the aggregation degree of similar large data.A fuzzy genetic algorithm is used to identify the balance of big data.This study adopts the selective integration method to study the unbalanced human resource database classifier in the process of transmission, introduces the decision contour matrix to construct the anomaly support model of the set of unbalanced human resource data classifier, identifies the features of the big data of human resource in parallel, repairs the relevance of the big data of human resource, introduces the improved ant colony algorithm, and finally realizes the design of the parallel classification algorithm of the big data of human resource.The experimental results show that the proposed algorithm has a low time cost, good classification effect, and ideal parallel classification rule complexity.

Journal: Security and Communication Networks (2021)
Publication types: Research Article;
Outcome Prediction of Hematologic Malignancy in Critically Sick People

People with hematologic malignancies (hm) frequently postulate intensive care unit (icu) hospitalization due to organ damage caused by the disease process or treatment‐related consequences.This study is aimed at looking at mortality and sign factors in adult patients with hematologic malignancy (hm) who have been hospitalized in the icu.Death was one quality indicator; researchers used a machine learning approach to find determinants of death.As per the study, there have been 206 patients hospitalized in the icu (mean age: 51.3 ± 13.6 years; 60% male).The average length of stay was three days, with 14.1% requiring extended icu commitment.Icu death was 45.6% at 30 days, 62.6% at sixty days, and 74.3% at twelve months, rising to 59.2% at thirty days, 62.6% at sixty days, and 74.3% at twelve months.Ventilation systems and vasodilating medication were linked to higher icu death, but admission to the icu surgically and experiencing malignancies are linked with lower death rates.Patients with hm who are hospitalized in the icu have a high mortality rate (45.6%), which rises to 74.3% after a year.Serious illness, postsurgical hospitalization, and malignancy were revealed as determinants of patient outcomes in multivariate analyses.

Journal: BioMed Research International (2022)
Publication types: Research Article;
Optimized IANSegNet: Deep Segmentation for the Detection of Inferior Alveolar Nerve Canal

Imaging studies in dentistry and maxillofacial pathology have recently concentrated on detecting the inferior alveolar nerve (ian) canal.In spite of the minor dimensions of 3d maxillofacial datasets, deep learning‐based algorithms have shown encouraging consequences in this study area.This study describes a mandibular cone‐beam ct (cbct) dataset with 2d and 3d hand comments.It is huge and freely available.It was possible to utilise this dataset by applying the residual neural network (ianseg net), which consumed less gpu memory and computational complexity.As an encoder, ianseg net uses the computationally efficient 3d shuffle net v2 network to reduce graphics processing unit (gpu) memory usage and improve efficiency.After that, a decoder with leftover blocks is added to keep the quality high.To address network convergence and data inequity, dice’s loss and cross‐entropy loss were created.Optimized postprocessing techniques are also recommended for fine‐tuning the coarse segmentation findings that are generated by ianseg net.The results of the validation show that ianseg net outperformed other deep learning models in a variety of criteria.

Journal: BioMed Research International (2023)
Publication types: Research Article;
NORAD Promotes the Viability, Migration, and Phenotypic Switch of Human Vascular Smooth Muscle Cells during Aortic Dissection via LIN28B-Mediated TGF-β Promotion and Subsequent Enhanced Glycolysis

Glucose metabolism reprogramming is an important reason for the functional remodeling, growth, and migration of vascular smooth muscle cells (vsmcs).It is also an important basis for the occurrence and development of aortic dissection (ad), but the specific regulatory factors are not clear.Noncoding rna activated by dna damage (norad) is dysfunctional in many diseases, but the role of norad in ad etiology is unclear.We first established a vascular remodeling cell model of ad, and the expression of norad in vsmcs was significantly increased.Functional experiments showed that inhibition of norad could downregulate the proliferation and migration of vsmcs.Meanwhile, silencing norad could also inhibit the flux of glycolysis, suggesting that norad may aggravate ad by promoting glycolysis.In addition, mechanism studies have shown that norad can exert vsmcs‐regulating function by recruiting lin28b to bind to tgf‐ β m rna, which subsequently facilitates the expression of tgf‐ β 1 (transforming growth factor β 1).The recovery experiment also showed that overexpression of tgf‐ β could reverse the inhibitory effect of norad knockdown on vsmcs in terms of proliferation, migration, and glycolysis.Collectively, these results indicated that the norad/lin28b/tgf‐ β axis promoted cell proliferation and migration through regulating aerobic glycolysis in vsmcs.Therefore, norad may regulate the occurrence of ad by affecting the reprogramming of glucose metabolism, and norad can be recognized as a good target for vsmc phenotypic intervention and ad treatment.

Journal: BioMed Research International (2022)
Publication types: Research Article;