syedzayyan/paper_mill_benchmark huggingface dataset:
GINS2 Is Downregulated in Peripheral Blood of Patients with Intervertebral Disk Degeneration and Promotes Proliferation and Migration of Nucleus Pulposus Cells

Gins complex subunit 2 (gins2) regulates the migration, invasion, and growth of cells in many malignant and chronic diseases.In the present study, we aimed to investigate the expression of gins2 in the peripheral blood and nucleus pulposus (np) cells of patients with intervertebral disk degeneration (idd).Gins2 expression was detected using bioinformatics tools from the geo public repository and validated using peripheral blood samples from idd patients and healthy participants.Gins2 clinical significance was explored by the receiver operating curve (roc) utilizing area under the curve (auc).Moreover, the influences of gins2 on cell viability, migration, and invasion were explored by mtt, wound healing, and transwell assays, whereas cell apoptosis was determined by flow cytometry.Expression levels of gins2 in the peripheral blood were significantly lower in idd patients than in healthy participants.Moreover, roc obtained a significantly higher auc of gins2 in idd patients.Further, overexpressed gins2 increased the proliferation, migration, and invasion of np cells while overexpressed gins2 decreased the apoptotic property of cells compared to the nc plasmid and control groups.In conclusion, gins2 might be a potential therapeutic target of idd.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Genetic Algorithm in Data Mining of Colorectal Images

There is currently no effective analytical method in colorectal image analysis, which leads to certain errors in colorectal image analysis.In order to improve the accuracy of colorectal imaging detection, this study used a genetic algorithm as the data mining algorithm and combined it with image processing technology to perform image analysis.At the same time, combined with the actual requirements of image detection, the gray theory model is used as the basic theory of image processing, and the image detection prediction model is constructed to predict the data.In addition, in order to study the effectiveness of the algorithm, the experiment is carried out to analyze the validity of the data of the study, and the predicted value is compared with the actual value.The research shows that the proposed algorithm has certain accuracy and can provide theoretical reference for subsequent related research.

Journal: Computational and Mathematical Methods in Medicine (2021)
Publication types: Research Article;
Gene Mutation Classification through Text Evidence Facilitating Cancer Tumour Detection

A cancer tumour consists of thousands of genetic mutations.Even after advancement in technology, the task of distinguishing genetic mutations, which act as driver for the growth of tumour with passengers (neutral genetic mutations), is still being done manually.This is a time-consuming process where pathologists interpret every genetic mutation from the clinical evidence manually.These clinical shreds of evidence belong to a total of nine classes, but the criterion of classification is still unknown.The main aim of this research is to propose a multiclass classifier to classify the genetic mutations based on clinical evidence (i.e., the text description of these genetic mutations) using natural language processing (nlp) techniques.The dataset for this research is taken from kaggle and is provided by the memorial sloan kettering cancer center (mskcc).The world-class researchers and oncologists contribute the dataset.Three text transformation models, namely, count vectorizer, tfidf vectorizer, and word2vec, are utilized for the conversion of text to a matrix of token counts.Three machine learning classification models, namely, logistic regression (lr), random forest (rf), and xgboost (xgb), along with the recurrent neural network (rnn) model of deep learning, are applied to the sparse matrix (keywords count representation) of text descriptions.The accuracy score of all the proposed classifiers is evaluated by using the confusion matrix.Finally, the empirical results show that the rnn model of deep learning has performed better than other proposed classifiers with the highest accuracy of 70%.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;
Gender Identification and Classification of Drosophila melanogaster Flies Using Machine Learning Techniques

Drosophila melanogaster is an important genetic model organism used extensively in medical and biological studies.About 61% of known human genes have a recognizable match with the genetic code of drosophila flies, and 50% of fly protein sequences have mammalian analogues.Recently, several investigations have been conducted in drosophila to study the functions of specific genes exist in the central nervous system, heart, liver, and kidney.The outcomes of the research in drosophila are also used as a unique tool to study human-related diseases.This article presents a novel automated system to classify the gender of drosophila flies obtained through microscopic images (ventral view).The proposed system takes an image as input and converts it into grayscale illustration to extract the texture features from the image.Then, machine learning (ml) classifiers such as support vector machines (svm), naive bayes (nb), and k -nearest neighbour (knn) are used to classify the drosophila as male or female.The proposed model is evaluated using the real microscopic image dataset, and the results show that the accuracy of the knn is 90%, which is higher than the accuracy of the svm classifier.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Functional Analysis of Bronchopulmonary Dysplasia-Related Neuropeptides in Preterm Infants and miRNA-Based Diagnostic Model Construction

Bronchopulmonary dysplasia (bpd) has a high mortality rate.This study was aimed at identifying and analysing the risk factors associated with bpd using bioinformatic and mechanical analyses and establishing a predictive model to assess the risk of bpd in preterm infants.Methods.We identified differentially expressed rnas via the intersection of mi rnas between datasets.Online analysis tools were used to predict genes targeted by differentially expressed mi rnas (demi rnas) and to generate and visualise competing endogenous rna (ce rna) coexpression networks.Gene ontology (go) and kyoto encyclopedia of genes and genomes (kegg) analyses were subsequently performed on the demi rnas.In addition, an intersection analysis was performed on m rna and neuropeptide-related genes in the ce rna network.Demi rnas associated with bpd and those involved in ce rna networks were used to establish a diagnostic prediction model.The gse108604 dataset was used as a validation set to verify the model.Results.A total of 26 demi rnas were identified from the tracheal aspirates (tas) of patients with bpd and healthy controls.In addition, a total of 1076 dem rnas were obtained from the gse8586 dataset.Functional enrichment analysis of dem rnas revealed an abnormal reduction in mitochondrial-related activity and cellular responses to oxidative stress in patients with bpd.The neuropeptide-related genes oprl1 and nppa were found to be upregulated in bpd samples.Eventually, hsa-mi r-1258, hsa-mi r-298, hsa-mi r-483-3p, and hsa-mi r-769-5p were screened out and used to establish the prediction model.Calibration curves and detrended correspondence analysis (dca) revealed that the model had good clinical applicability.Conclusions.The prediction model provided a simple method for individualised assessment, early diagnosis, and prevention of bpd risk in preterm infants.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Fluorescent Carbon Dot-Supported Imaging-Based Biomedicine: A Comprehensive Review

Carbon dots (cds) provide distinctive advantages of strong fluorescence, good photostability, high water solubility, and outstanding biocompatibility, and thus are widely exploited as potential imaging agents for in vitro and in vivo bioimaging.Imaging is absolutely necessary when discovering the structure and function of cells, detecting biomarkers in diagnosis, tracking the progress of ongoing disease, treating various tumors, and monitoring therapeutic efficacy, making it an important approach in modern biomedicine.Numerous investigations of cds have been intensively studied for utilization in bioimaging‐supported medical sciences.However, there is still no article highlighting the potential importance of cd‐based bioimaging to support various biomedical applications.Herein, we summarize the development of cds as fluorescence (fl) nanoprobes with different fl colors for potential bioimaging‐based applications in living cells, tissue, and organisms, including the bioimaging of various cell types and targets, bioimaging‐supported sensing of metal ions and biomolecules, and fl imaging‐guided tumor therapy.Current cd‐based microscopic techniques and their advantages are also highlighted.This review discusses the significance of advanced cd‐supported imaging‐based in vitro and in vivo investigations, suggests the potential of cd‐based imaging for biomedicine, and encourages the effective selection and development of superior probes and platforms for further biomedical applications.

Journal: Bioinorganic Chemistry and Applications (2022)
Publication types: Review Article;
Fluid Dynamics and Numerical Simulation of Exhaled Droplets Containing Infectious Viruses

Understanding the movement and transmission patterns of airborne particles is very important to understand the diseases they carry.One of the most common sources of viral infections is sneezing and coughing.This topic explores the theoretical properties of airborne microbes and their dispersal.It aims at developing a model that can predict the movement and transmission of these particles.The model is formulated using the runge–kutta (rk) algorithm, which is a 4th-order standard for solving differential equations.It is used to study the effects of various factors such as wind speed and jet velocity on the movement of droplets.The model is compared to the well-known maxey–riley equation.It then explains the various factors that influence the dispersal of airborne microbes.The evaporation of airborne microbes has a significant effect on the movement of smaller particles.

Journal: Security and Communication Networks (2022)
Publication types: Research Article;
Financial Fraud Detection in Healthcare Using Machine Learning and Deep Learning Techniques

Healthcare sector is one of the prominent sectors in which a lot of data can be collected not only in terms of health but also in terms of finances.Major frauds happen in the healthcare sector due to the utilization of credit cards as the continuous enhancement of electronic payments, and credit card fraud monitoring has been a challenge in terms of financial condition to the different service providers.Hence, continuous enhancement is necessary for the system for detecting frauds.Various fraud scenarios happen continuously, which has a massive impact on financial losses.Many technologies such as phishing or virus-like trojans are mostly used to collect sensitive information about credit cards and their owner details.Therefore, efficient technology should be there for identifying the different types of fraudulent conduct in credit cards.In this paper, various machine learning and deep learning approaches are used for detecting frauds in credit cards and different algorithms such as naive bayes, logistic regression, k-nearest neighbor (knn), random forest, and the sequential convolutional neural network are skewed for training the other standard and abnormal features of transactions for detecting the frauds in credit cards.For evaluating the accuracy of the model, publicly available data are used.The different algorithm results visualized the accuracy as 96.1%, 94.8%, 95.89%, 97.58%, and 92.3%, corresponding to various methodologies such as naive bayes, logistic regression, k-nearest neighbor (knn), random forest, and the sequential convolutional neural network, respectively.The comparative analysis visualized that the knn algorithm generates better results than other approaches.

Journal: Security and Communication Networks (2021)
Publication types: Research Article;
Femtosecond Laser Combined with Double-Flange Polypropylene Suture Capsular Tension Ring Suspension for the Treatment of Subluxation of Lens in Marfan Syndrome

To evaluate the use of femtosecond laser combined with double-flange polypropylene suture capsular tension ring (ctr) suspension to treat subluxation of lens in marfan syndrome.The objective is to provide safer and more effective surgical procedures for patients.Setting.Eye hospital, aier eye hospital of wuhan university, wuhan, china methods.In this retrospective study, we observed sixteen patients (16 eyes) with marfan syndrome who had undergone this operation.Femtosecond laser incision was performed on the anterior capsule with the lens as the center.The suspending ctr was clipped to anterior capsule to support it, which was secured to the sclera with a double-flange polypropylene suture.Uncorrected visual acuity (ucva), intraocular pressure (iop), tilt, and decentration of the intraocular lens (iol) and postoperative complications were evaluated.Results.All 16 patients were successfully implanted with suspended ctr and iol after femtosecond laser assisted surgery.Visual acuity improved significantly after surgery ( p &lt; 0.01 ).At 1 month, 3 months and 6 months postoperatively, the tilt of the iol was 2.70 ± 0.934 , 2.65 ± 0.897 , and 2.66 ± 0.781 , and the decentration of the iol was 0.30 ± 0.770 , 0.30 ± 0.682 , and 0.29 ± 0.737 ; both had no statistically significant difference between the three groups.After the operation, 4 patients had hyphema and 2 patients experienced a temporary postoperative iop increase.Only one flange was exposed one month after operation and recovered right after secondary adjustment.Conclusion.Femtosecond laser combined with double-flange polypropylene suture ctr suspension was effective in fixing the lens capsule to the scleral wall in cases of subluxation of lens seen in marfan syndrome during our short-term observation.The long-term efficacy of this operation needs further observation and follow-up.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Feasibility and Application of Cluster Nursing to the Care of Patients with Acute Oncology

To probe the utility of cluster nursing for the care of acute oncology clients.Methods.One hundred fourteen cases of acute oncology pioneers undergoing therapy in our clinic from april 2019 to february 2021 were randomly assigned into two consecutive arms, conventional care and cluster care, in accordance with the nursing modality.Complications, satisfaction, quality of survival, and negative emotions were compared across the two parties.Results.The comorbidity incidence rate of the subject matter in the research cohort was 7.02%, which was below the comorbidity rate of 17.54% in the reaction cohort ( p &lt; 0.05 ); the percentage of satisfaction in the research cohort was 96.49%, which was higher than the satisfaction rate of 78.95% in the reaction cohort ( p &lt; 0.05 ); aftercare, the quality of survival was significantly higher in both groups, and the sas and sds scores were significantly lower, with a more pronounced trend of change in the research cohort than in the reaction cohort ( p &lt; 0.05 ).Conclusion.Bundled care for casualty oncology is of major value, with a marked reduction in the incidence of postoperative complications, high quality of survival, an excellent prognosis and negative mood, high patient morale and satisfaction and compliance with curative treatment, and good support for subsequent care.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Clinical Study;
Fabrication of a Lead Head Made of the Carbon-Fiber-Reinforced Composite for the Temporary Cardiac Pacemaker

Compared with traditional leads, carbon fiber composite leads have a series of advantages such as lightweight, soft texture, and high conductivity.In this experiment, we attempted to improve the existing carbon-fiber-based ttcp metal leads by using carbon-fiber-graphene-woven leads or conductive cloth, so as to solve a series of defects of ttcp metal leads commonly used in the clinical temporary cardiac pacemaker.We performed a series of measurements, including resistance comparisons and stability checks on the finished product characteristics.The results showed that the resistivity of the whole lead did not change significantly after modification, and the carbon fiber bundle was stable and easily deformed under lower stress to reduce the damage to the myocardium, which had excellent clinical application value.

Journal: Bioinorganic Chemistry and Applications (2021)
Publication types: Research Article;
External Application of Traditional Chinese Medicine in the Prevention and Treatment of Nausea and Vomiting Caused by Chemotherapy of Non-Small-Cell Lung Cancer: A RCT Study

To investigate the external application of traditional chinese medicine in the prevention and treatment of nausea and vomiting caused by chemotherapy of non-small-cell lung cancer.Methods.This is a prospective trial.A total of 114 patients with non-small-cell lung cancer who were hospitalized in our hospital from october 2020 to march 2022 were selected and randomly divided into the research group and the control group at the ratio of 1 : 1.The control group received chemotherapy + tropisetron 4 mg intravenous drip 30 minutes before chemotherapy./day × 3 days.The research group received chemotherapy + intravenous infusion of tropisetron 4 mg 30 minutes before chemotherapy, once a day for 3 days + external application of traditional chinese medicine for 5 days.The therapeutic effects of the two groups of patients were compared.Results.After treatment, the serum creatinine, urea nitrogen, and endogenous creatinine in the research group were better than those in the control group (t = 15.943, 12.005, and 13.325; p = 0.001 , 0.005, and 0.005).After treatment, alt and tbil in the research group were superior to those in the control group (t = 11.583, 10.012, and 9.426; p = 0.001 , 0.002, and 0.001).After treatment, the physiological status, social/family status, emotional status, and family status of the research group were significantly better than those in the control group (t = 16.274, 5.379, 5.142, and 8.153; p = 0.005 , 0.000, 0.002, and 0.001).After treatment, the ecog score and kps score (82.46 ± 4.61) of the research group were significantly different from those of the control group (t = 11.913 and 9.357; p = 0.035 and 0.001).The effective rate (χ2 = 11.724; p = 0.000 ) of the research group was higher but the incidence of adverse reaction (χ2 = 4.294; p = 0.001 ) was lower than that of the control group.Conclusion.External application of traditional chinese medicine can significantly reduce nausea and vomiting caused by chemotherapy of non-small-cell lung cancer and can improve the patient’s body and quality of life, which is worthy of clinical research and promotion.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Clinical Study;
Expression and Regulation Network of HDAC3 in Acute Myeloid Leukemia and the Implication for Targeted Therapy Based on Multidataset Data Mining

Histone deacetylase 3 (hdac3) plays an important role in the development and progression of a variety of cancers, but its regulatory mechanism in acute myeloid leukemia (laml) is not entirely understood.Methods.We analyzed the expression of hdac3 in normal and cancerous tissues using oncomine, ualcan, and geo databases.Changes of the hdac3 gene were analyzed by c bio portal.The genes coexpressed with hdac3 were analyzed by web gestalt, and the predicted signaling pathways in kegg were discussed.Results.We discovered that the expression of hdac3 was elevated in some types of acute myeloid leukemia.The hdac3 gene has a strong positive correlation with slc25a5, ndufa2, cox4i1, and eif3k, which regulate cell growth and development.Hdac3 transcription is higher in patients with flt3 mutation than in healthy people.Hdac3 can be directly involved in regulating the thyroid hormone signaling pathway.Mef2d is directly involved in the c gmp-pkg signaling pathway, and the hdac3 gene has a strong synergistic relationship with mef2d.Hdac3 is indirectly involved in the c gmp-pkg signaling pathway, thereby indirectly regulating the expression levels of p53 and p21 genes in patients with laml.Genomics of drug sensitivity in cancer (gdsc) database analysis revealed that the application of the hdac3 inhibitor can inhibit the proliferation of leukemia cells.Conclusions.Therefore, our data suggest that hdac3 may be a possible therapeutic target for acute myeloid leukemia.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Exploring the Potential Mechanism of Xiaokui Jiedu Decoction for Ulcerative Colitis Based on Network Pharmacology and Molecular Docking

Introduction.Network pharmacology is in line with the holistic characteristics of tcm and can be used to elucidate the complex network of interactions between disease-specific genes and compounds in tcm herbal medicines.Here, we investigate the pharmacological mechanism of xiaokui jiedu decoction (xjd) for the treatment of ulcerative colitis (uc).Methods.The computational systems biology laboratory platform (tcmsp) database was searched and screened for the active ingredients of all drugs in xjd.The uniport database was used to retrieve possible gene targets for the therapeutic effects of xjd.Gene cards, pharm gkb, ttd, and omim databases were used to retrieve xjd-related gene targets.A herb-compound-protein network and a protein-protein interaction (ppi) network were constructed, and hub genes were screened for gene ontology (go) and kyoto encyclopedia of genes and genomes (kegg) enrichment analyses.Finally, molecular docking was performed to validate the interrelationship between disease target proteins and active drug components.Results.A total of 135 xjd potential action targets, 5097 uc-related gene targets, and 103 xjd-uc intersection gene targets were screened.The hub gene targets of xjd that exert therapeutic effects on uc are rb1, mapk1, tp53, jun, nr3c1, mapk3, and esr1.Go enrichment analysis showed 741 biofunctional enrichments, and kegg enrichment analysis showed 124 related pathway enrichments.Molecular docking showed that the active components of xjd (β-sitosterol, kaempferol, formononetin, quercetin, and luteolin) showed good binding activities to five of the six hub gene targets.Discussion.The active ingredients of xjd (β-sitosterol, kaempferol, formononetin, quercetin, and luteolin) may regulate the inflammatory and oxidative stress-related pathways of colon cells during the course of uc by binding to the hub gene targets.This may be a potential mechanism of xjd in the treatment of uc.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;