syedzayyan/paper_mill_benchmark huggingface dataset:
Clinical Characteristics and Drug Resistance Analysis of 90 Cases of Children with Salmonella Enteritis

To summarize the clinical characteristics and drug sensitivity analysis of children with salmonella enteritis in our hospital, explore the characteristics and drug resistance of salmonella infection, and guide the rational clinical use of drugs.Methods.The clinical data of 90 pediatric salmonella enteritis patients treated in our hospital from january 2015 to january 2020 were selected as the observation group of this retrospective study, and 90 patients with non-salmonella enteritis were selected at the same time as a control group.Discuss the clinical characteristics of salmonella, drug sensitivity analysis, infection characteristics, and drug resistance and guide the rational clinical use of drugs.Results.The susceptibility rates of 15 antibiotics from high to low were imipenem and meropenem, piperacillin, cefoperazone, compound trimethoprim, chloramphenicol, and ceftazidime.Salmonella strains were both resistant to imipenem and meropenem.Salmonella is sensitive and has a low rate of resistance to quinolones (ciprofloxacin) and a high rate of resistance to cephalosporins (ceftriaxone, cefotaxime, ceftazime, and cefpiramide), both reached more than 28%.Salmonella has the highest resistance to penicillin and erythromycin, both at 85.00% and above.Among 90 children with salmonella enteritidis food poisoning, 32 were hospitalized, 21 cases were hospitalized less than 7 days, and 11 cases were 7-14 days.The longest hospital stay was 12 days, the shortest was 1 day, and the average was 6.1 days.Seven people stayed for observation and 51 people were discharged after treatment.All the children recovered without death.Conclusion.In clinical practice, antibiotics should be used rationally based on drug susceptibility results.In the case of poor efficacy of cephalosporins, amoxicillin and potassium clavulanate, piperacillin, tazobactam, or imipenem, cephalosporin antibiotics can be considered the first choice for clinical empiric medication.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Cleanup Sketched Drawings: Deep Learning-Based Model

Rough drawings provide artists with a simple and efficient way to express shapes and ideas.Artists frequently use sketches to highlight their envisioned curves, using several groups’ raw strokes.These rough sketches need enhancement to remove some subtle impurities and completely simplify curves over the sketched images.This research paper proposes using a fully convolutional network (fcnn) model to simplify rough raster drawings using deep learning.As input, the fcnn takes a sketch image of any size and automatically generates a high-quality simplified sketch image as output.Our model intuitively addresses the shortcomings in the rough sketch image, such as noises and unwanted background, as well as the low resolution of the rough sketch image.The fcnn model is trained by three raster image datasets, which are publicly available online.This paper demonstrates the efficiency and effectiveness of using deep learning in cleaning and improving the roughly drawn image in an automatic way.For evaluating the results, the mean squared error (mse) metric was used.From experimental results, it was observed that an enhanced fcnn model reported better accuracy, reducing the prediction error by 0.08 percent for simplifying the rough sketch compared to the existing methods.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
circSOX4 Enhances Hepatocellular Carcinoma Progression via miR-218-5p/YY1 Signaling

Liver cancer ranks fifth leading malignancy in incidence and third in mortality worldwide.Recently, its comprehensive treatment has greatly progressed; however, the prognosis is still poor due to difficulties in early diagnosis, high recurrence and metastasis rates, and lack of specific treatment.The search for new molecular biological factors that target the early diagnosis of cancer, predict recurrence, evaluate treatment efficacy, and identify high‐risk individuals and specific therapeutic targets during follow‐up becomes a great urgent task.Circ sox4 is upregulated in lung cancer and plays the role of oncogene.This study attempted to assess circ sox4’s role in hepatocellular carcinoma (hcc).Hcc tissues and cells were collected to measure circ sox4 level by q rt‐pcr, cell behaviors by cck‐8 assay and transwell assay, and relationship between circ sox4 and downstream targets by dual‐luciferase gene assay and rip.Circ sox4 was upregulated in hcc tissue and cell lines, and its level was correlated with reduced patient survival.Interestingly, circ sox4 knockdown reduced hcc behaviors, glucose consumption, and lactate production.Furthermore, circ sox4 knockdown resulted in decreased in vivo tumor growth.Circ sox4 was confirmed to target mi r‐218‐5p, and the effect of circ sox4 downregulation on inhibiting tumor growth was diminished after mi r‐218‐5p inhibition or yy1 overexpression in hcc cells.Circ sox4 expression is closely associated with hcc through mi r‐218‐5p and yy1‐dependent pathways and may be a target and marker for hcc.

Journal: BioMed Research International (2023)
Publication types: Research Article;
Children’s Motor Intelligence Evaluation System Based on Multi-data Fusion

Along with the main feedback information of early childhood education activities, children’s movement evaluation plays an important guiding role in early childhood education activities.Teachers can teach children in accordance with their aptitude according to the results of children’s sports evaluation.Traditional physical education overemphasizes the leading role of teachers, and young children can only passively receive the education of teachers.Teachers always use the same standard to evaluate each child, simply assigning a rating of “strong,” “moderate,” and “poor” to children, ignoring the differences in children’s physical intelligence.The emergence of multidata fusion technology can use the differences and complementarity of various data in evaluation functions to make up for the insufficiency of a single exercise evaluation result, purposefully choose the evaluation method flexibly according to the content of the exercise and the scene of the exercise, and gradually improve the level of children’s exercise evaluation.This paper studied the children’s motor intelligence evaluation system based on multidata fusion.To this end, this paper will focus on children’s autonomous sports games and determine the first‐level indicators in the children’s sports evaluation index system as four indicators: classroom performance, physical fitness, motor skills, and extracurricular fitness.It used the principle of multidata fusion, firstly evaluates children’s exercise physiology data through a fuzzy neural network algorithm, and then combines the adaptive weighted data fusion algorithm with d‐s evidence theory to evaluate children’s movement intelligence.Experiments showed that the multidata evaluation system can take effective measures to intelligently evaluate children’s comprehensive motor ability.Compared with the traditional evaluation method, the evaluation results are increased by 5%, and the children’s sports evaluation results are more average, which can enhance children’s sports confidence and promote children’s effective exercise.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Research Article;
Changes of Short-Term Heart Rate Variability and Vertebral Artery Magnetic Resonance Angiography in Patients with Cervical Vertigo

Cervical vertigo refers to a clinical syndrome with sudden vertigo as the main symptom caused by the hemodynamic disturbance of the extracranial segment of the vertebral artery (va) affected by cervical vertebral lesions.Small differences in pulse intervals in a patient’s continuous sinus rhythm are called heart rate variability (hrv).Heart rate variability refers to the small rise and fall of instantaneous heart rate between consecutive beats and is one of the most important physiological indicators of cardiac function.Small changes between successive beats reflect some information about the heart.So, it can be used to diagnose heart disease; its parameters can be used to identify emotions.Therefore, it is possible to use the characteristics of heart rate variability to find some patterns in the high‐stress state and use the computer and ecg signals to describe the high‐stress state.Since the ecg signal is a universal and objective model, it is practical and convenient to use it to describe stress states.Magnetic resonance angiography (mr angiography, mra) is a noninvasive vascular imaging method that does not require intubation and contrast agents.At present, it has been widely used in clinical practice.In order to explore the changes of short‐term heart rate variability and vertebral arterial magnetic resonance angiography (mra) in patients with cervical vertigo and their clinical significance, this paper introduces two basic analysis methods of heart rate variability and commonly used mra techniques, tof technology.In the analysis of heart rate variability in patients with cervical vertigo, the statistical values of time and spectrum domain parameters were found to be lower in the experimental group than in the control group1.Mra showed that the abnormal rate of va in the pci group and the cervical vertigo group was similar.In the rmssd index, the male experimental group reached 29, and the control group 1 reached 22.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Clinical Study;
Changes and Influencing Factors of Stress Disorder in Patients with Mild Traumatic Brain Injury Stress Disorder

Traumatic brain injury (tbi) is a brain injury caused by motor vehicle accidents, falls from heights, sports, and combat.Posttraumatic stress disorder (ptsd) is a complex mental disorder caused by physical and psychological trauma, which manifests itself with symptoms such as anxiety, depression, and cognitive dysfunction.How its symptoms arise and what factors influence it are not fully understood nor can it be predicted.In order to better understand the changes after stress disorder in tbi patients and the influencing factors of ptsd, this paper analyzed the changes and influencing factors of stress disorder in patients with mild traumatic brain injury stress disorder.In this paper, the wechsler memory scale and functional magnetic resonance imaging were first used to study the memory impairment and functional changes of corresponding brain regions in patients with tbi stress disorder, and then, the pittsburgh sleep quality index scale and the pain visual analogue scale were used to study the influencing factors of ptsd.The results of the study showed that ptsd patients reduced and enhanced regional brain functional activity and impaired memory function in the resting state.Male gender, age under 45 years, no hemiplegia, and good sleep quality were protective factors for ptsd in tbi patients.The need for drug‐assisted sleep, severe headache, and moderate headache was the risk factor for ptsd in tbi patients.

Journal: BioMed Research International (2022)
Publication types: Research Article;
Catheter Directed Thrombolysis in the Treatment of Acute Pulmonary Embolism: Early Hemodynamic Recovery and Improvement in Prognosis

In this study, we aimed to investigate the efficacy of catheter directed thrombolysis (cdt) and peripheral intravenous thrombolysis (pit) in the treatment of patients with acute pulmonary embolism (ape) and assess its effect on the prognosis of patients.Methods .We recruited 74 patients with ape, who were assigned to cdt and pit groups, according to the treatments received by them.The arterial partial pressure of oxygen (pa o 2 ), partial pressure of carbon dioxide (pa co 2 ), pulmonary artery pressure (pap), pulmonary artery obstruction index (paoi), thrombus volume, pain score, and therapeutic benefits were compared between the two groups before and after treatment, and the factors affecting patient prognoses were also analyzed.Results .Using the clinical data before treatment as the baseline, it was found that changes in indicators of plasma, thrombus volume, and pain scores were significantly better in the cdt group than in the pit group after treatment.The total effective rate of cdt was higher than that of pit in the treatment of ape.The mean follow‐up time for both the cdt and pit groups was 41.08 ± 9.12 months, and the total mortality rate was 14.8% and 31%, respectively.The logistic regression analysis revealed the significant impacts of previous incidences of pulmonary embolism (pe), concurrent deep vein thrombosis (dvt), and pulmonary arterial hypertension (pah) on the occurrence and progression of ape, and these factors were subsequently identified as risk factors for ape using kaplan–meier survival analysis.Observations from pae onset to the end of follow‐up revealed that there was a difference in survival rates between the cdt and pit groups.Conclusions .Taken together, cdt is an effective treatment strategy for ape and can provide effective symptomatic relief.In addition, the previous incidences of pe, concurrent dvt, and pah are important risk factors that affect the survival rates of patients with ape.

Journal: BioMed Research International (2022)
Publication types: Clinical Study;
Cancer Detection and Prediction Using Genetic Algorithms

Cancer is a wide category of diseases that is caused by the abnormal, uncontrollable growth of cells, and it is the second leading cause of death globally.Screening, early diagnosis, and prediction of recurrence give patients the best possible chance for successful treatment.However, these tests can be expensive and invasive and the results have to be interpreted by experts.Genetic algorithms (gas) are metaheuristics that belong to the class of evolutionary algorithms.Gas can find the optimal or near-optimal solutions in huge, difficult search spaces and are widely used for search and optimization.This makes them ideal for detecting cancer by creating models to interpret the results of tests, especially noninvasive.In this article, we have comprehensively reviewed the existing literature, analyzed them critically, provided a comparative analysis of the state-of-the-art techniques, and identified the future challenges in the development of such techniques by medical professionals.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Bioinformatics Method Was Used to Analyze the Highly Expressed Gene FAM83A of Breast Cancer in Young Women

S.Preliminary analysis of breast cancer related to unknown functional gene fam83a through bioinformatics knowledge to inform further experimental studies.Select high expression genes for breast cancer and use bioinformatics methods to predict the biological function of fam83a.Methods.Genes with significant differences in expression between breast tumors and normal breast tissue libraries were selected from cgap’s sage digital gene expression displayer (dged) database.An unknown functional gene, fam83a, which is highly expressed in breast cancer, was screened.We performed an analysis of the gene structure, subcellular localization, physicochemical properties of the encoding products, functional sites, protein structure, and functional domains.Results.Through sage dged, a total of 185 genes with expression differences were found.The structure and function of fam83a have ideal predictions, and it is generally determined that this gene encodes a nuclear protein with a nucleoprotein.The active site of pldc and the functional domain of duf1669 can be involved in signal transduction and gene expression regulation in tumorigenesis and metastasis.Digital gene representation of the tumor genome project data library was used to select differentially expressed genes in breast cancer tissue and breast benign tumor tissue.Conclusion.Studies show that fam83a is a potential research target associated with tumorigenesis and metastasis.Initial tests confirmed the expression of this gene.Lay a solid foundation for further research learning.Fam83a is a highly expressed gene in breast cancer and can serve as a target for studying molecular mechanisms in breast cancer.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Bioinformatics Analysis Reveals the Biomarker Value and Potential Mechanism of miR-675-3p in Gastric Cancer

Gastric cancer (gc) is still the main challenge for the social and clinical system.Increasing studies have proved that micro rna dysfunction is closely associated with the gc progression.Mi r-675-3p has been confirmed as the tumor support in multiple tumor cells, while its role in gc remains unclear.Methods.The clinical data in the tcga database were excavated for analyzing the role of mi r-675-3p in pan-cancer and gc.Q rt-pcr was applied to detect the abundances of the genes.The starbase 2.0 was executed to target the prediction of mi r-675-3p.Moreover, the enrichment analysis was performed with the david database.The ppi-network analysis of the targets was performed with cytoscape.Results.Mi r-675-3p was dramatically upregulated in multiple types of cancer, and elevated mi r-675-3p was also found in gc tissues.Moreover, increased mi r-675-3p was closely related with the poor survival rates of the patients.The q rt-pcr showed that mi r-675-3p was extremely upregulated in gc tissues and cell lines.The enrichment analysis showed that the targets of mi r-675-3p were located in the cellular nucleus and associated with the transcriptional misregulation in cancer.The ppi-network showed that three clusters and total of 40 genes were screened as potential hub nodes.Moreover, brip1, myo5b, and pds5b were related with the prognostic survival of the patients according to the tcga database and decreased brip1, myo5b, and pds5b were also found in gc cell lines.Conclusion.This study identified mi r-675-3p as a potential biomarker in gc development and revealed the potential regulation network of mi r-675-3p.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Bioinformatics Analysis for Identifying Differentially Expressed MicroRNAs Derived from Plasma Exosomes Associated with Radiotherapy Resistance in Non-Small-Cell Lung Cancer

To explore the differentially expressed micro rnas (demi rs) derived from plasma exosomes related to radiotherapy resistance and their corresponding pathways in non-small-cell lung cancer (nsclc).Methods.Plasma samples from nsclc patients were retrieved and analyzed.The patients were divided into 3 groups based on the tumor regression grade criteria, assessed by radiological imaging after radiotherapy.Trg1 referred to tumor shrinkage of ≤30% after radiotherapy, trg2 as 30 % &lt; trg &lt; 50 % , and trg3 as trg ≥ 50 %.High-throughput sequencing and bioinformatics analysis were used to compare the demi rs between the three groups.The mi randa, pita, and rnahybrid software were used to identify potential target genes of the demi rs.Go function enrichment and kegg pathway enrichment analyses were performed on the target gene set.Results.There were 24 demi rs (12 were upregulated and 12 downregulated) between the trg1 and trg2 groups, 11 between the trg1 and trg3 groups (6 upregulated and 5 downregulated), and 35 between the trg2 and trg3 groups.The common demi rs between the three groups were mi r-92a-3p.Go analysis showed that the target genes of the demi rs were mainly enriched in unicellular organism processes, cell transformation, cell localization, and their establishment.Kegg enrichment analysis showed that target genes were significantly enriched in the ras signaling pathway and associated with endocytosis.Among the 135 identified target genes of mi r-92a-3p, 4 were involved in the pi3k-akt signaling pathway (the downstream pathway of the ras gene) and 3 in the c amp signaling pathway (the upstream pathway of the ras gene).Further, 2 other target genes were involved in the rap1 signaling pathway (the upstream pathway of pi3k-akt).Conclusion.By assessing the expression and functional profile of demi rs in the plasma exosomes of nsclc patients after radiotherapy, mi r-92a-3p was identified as a promising target affecting radiotherapy outcomes through the ras signaling pathway.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Bioinformatic Deconstruction of Differentially Expressed Sequence Tags in Hepatocellular Carcinoma Based on Artificial Neural Network

Traditional medical imaging methods for diagnosing hepatocellular carcinoma can only provide information for differential diagnosis in terms of morphology and blood supply of the lesion, and the determination of the nature of the lesion still relies on tissue biopsy.Although ultrasound or ct‐guided biopsy has become an effective method for the diagnosis of liver cancer in recent years, the puncture has the possibility of tumor irritation, liver tumor rupture, or needle tract metastasis.In this paper, the use of bioinformatics method is to gradually screen potentially high‐risk genes associated with hcc recurrence on a genome‐wide scale would help to discover the key target molecules.The ann method was used to establish a gene prediction model that can predict the recurrence and survival of hcc, so as to construct a tool to identify patients at risk of hcc recurrence.It provided a certain therapeutic basis for future clinical work, thereby improving the prognosis of patients with hcc.Using the “survfit” function of the “survival” package in the r language, the log‐rank test (the log‐rank test was a common method for comparing two survival curves) was performed on all genes with posthoc recurrence of hepatocellular carcinoma as the outcome event.Then, the blast tool (basic local alignment search tool) was used to search the similarity of each hepatocellular carcinoma database to find out the genes with similar sequences to each hepatocellular carcinoma, so as to determine the function of each differentially expressed sequence tag.This paper found that the auc of the ann model was greater than that of the discriminant analysis model ( p &lt; 0.05).This paper promoted the development of new therapeutic measures for hepatocellular carcinoma and provided important theoretical guidance for human beings to fight cancer.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Research Article;
Bioactivation of Polyaniline for Biomedical Applications and Metal Oxide Composites

In this work, the oxidative chemical synthesis of polyaniline (pani) in the presence of glutamic acid (ga) is presented, using ammonium persulfate (aps) as the oxidizing agent.Syntheses were performed by varying the molar ratio of aniline:amino acid:oxidant.The products of the different reactions were characterized by sem, tem, and ftir techniques.It was observed that the molar ratio of aniline:amino acid:oxidant used in the synthesis determines the composition and conformation of the resulting polymer and its morphological and electrochemical properties.Composite hydrogels were prepared by incorporating the drug-loaded pani nanofibers in situ through polymerization and cross-linking of acrylamide.Tem images of the cross-section of the hydrogel revealed the formation of a three-dimensional system of the polyaniline nanofibers maintained by the insulating matrix of the polyacrylamide hydrogel.The in vitro release of the drug from the hydrogels composed of polyacrylamide/polyaniline against buffer solutions at different p h and temperature was studied, using orbital agitation.Finally, considering the potential of hydrogels composed of polyacrylamide/polyaniline for the controlled release of drugs, a study was conducted to evaluate their cytotoxicity against normal mouse subcutaneous tissue cells.

Journal: Journal of Chemistry (2022)
Publication types: Research Article;