syedzayyan/paper_mill_benchmark huggingface dataset:
Analysis of the Influence of Comprehensive Nursing Intervention on Vital Signs and Negative Emotions of Patients with Gastrointestinal Polyps Treated by Digestive Endoscopy

This research sets out to elucidate the influence of comprehensive nursing intervention (cni) on vital signs (vss) and negative emotions (nes) of patients with gastrointestinal polyps treated by digestive endoscopy.To address this, from january 2020 to february 2021, 92 cases of gastrointestinal polyps treated by digestive endoscopy in the yuyao people’s hospital of zhejiang province were partitioned into two different groups: the control group (cg; n = 46) intervened by routine nursing intervention, and the research group (rg; n = 46) treated by cni based on routine care.The vss, nes, time of first postoperative exhaust and defecation, early food intake, length of stay (los), quality of life (qol), nursing satisfaction, and the incidence of postoperative complications were compared between groups.When entering the operating room, elevated systolic/diastolic (sbp/dbp) was observed in cg compared with rg ( p &lt; 0.05 ) while there was no statistical difference in sbp/dbp in rg before intervention and when entering the operating room ( p &gt; 0.05 ).Statistically, less time of first exhaust and defecation as well as los and early food intake were observed in rg ( p &lt; 0.05 ).The hama and hamd scores declined in both arms postintervention, and the decrease was more obvious in rg ( p &lt; 0.05 ).After intervention, the scores of various domains of gqoli-74 elevated in both arms, and the increase was more obvious in rg ( p &lt; 0.05 ).Rg also showed a lower total complication rate and a higher degree of nursing satisfaction than cg ( p &lt; 0.05 ).Cni for patients with gastrointestinal polyps treated by digestive endoscopy can obviously relieve their anxiety and depression, with stable vss, short los, and low incidence of complications.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Clinical Study;
Analysis of the Impacts of Health Cost and Risk Preference on Farmers’ Protective Behavior of Pesticide Application Based on the Autoregressive Threshold Model: A Case Study of Wuhu City in China

This paper is aimed at investigating the impacts of health cost and risk preference on farmers’ protective behavior of pesticide in a case study of wuhu city in china.Based on the field survey data from 523 farmers in the main grain-producing areas, the cost of illness (coi) method was employed to quantitatively measure the health cost (hc) of pesticide application, the likert scale was used to measure the risk preference (rp) of pesticide applicators, and the autoregressive threshold model was used to test the impact of health cost and risk preference on farmers’ protection behavior in the process of pesticide application.The key findings of this research case study reveal that when the health cost and risk preference are both lower than the critical value ( hc ≤ 107.235 , rp ≤ 3 ), the health cost does not affect improving the protection level of farmers in the process of pesticide application.However, when the risk preference exceeds the critical value ( rp &gt; 3 ), and the health cost exceeds a certain critical value ( hc &gt; 107.235 ), they have a significant positive effect on improving the protection level of farmers in the process of pesticide application.High health cost combines with higher risk preference ( hc &gt; 107.235 , rp &gt; 3 ) which can significantly improve the protection level of farmers in the process of pesticide application.

Journal: Journal of Function Spaces (2022)
Publication types: Research Article;
Analysis of LINC01314 and miR-96 Expression in Colorectal Cancer Patients via Tissue Microarray-Based Fluorescence In Situ Hybridization

And objective.Long noncoding rnas (lnc rnas) have attracted increasing attention as novel biomarkers facilitating early diagnosis, prognostic predictions, and treatment of colorectal cancer (crc).Linc01314 is aberrantly expressed in many cancers, suggesting its role in tumor development.However, its expression and underlying molecular mechanism in crc remain to be clarified.The aim of this study was to evaluate the expression levels of linc01314 and its potentially interacting micro rna (mi rna) mi r-96 in crc patients, as well as clinical values.Methods.A tissue microarray (tma) containing 76 individual colorectal tumor samples and 28 adjacent normal samples was constructed, and the expression levels of linc01314 and mi r-96 were detected by fluorescence in situ hybridization.Results.The expression levels of both linc01314 and mi r-96 were upregulated in crc tissues and were associated with vascular metastasis ( p &lt; 0.05 ).A significantly positive correlation was observed between linc01314 and mi r-96 expression in tumor tissues ( p &lt; 0.001 , r = 0.870 ).Dominant expression of linc01314 was a risk factor for both blood vessel invasion ( p &lt; 0.05 ) and poor 5-year survival ( p = 0.001 , hazard ratio = 4.144 ).The kaplan–meier analysis indicated that patients with linc01314-dominant expression exhibited worse 5-year survival rates than those with mi r-96-dominant expression ( p &lt; 0.05 ).Conclusion.The expression patterns of both linc01314 and mi r-96 may be diagnostic of, and prognostic for, crc.These findings will facilitate further exploration of the molecular mechanism of lnc rnas in crc.

Journal: Disease Markers (2022)
Publication types: Research Article;
Analysis of Efflux Pump System and Other Drug Resistance Related Gene Mutations in Tigecycline-Resistant Acinetobacter baumannii

The isolation of tigecycline‐resistant acinetobacter baumannii in recent years has brought great difficulties to clinical prevention and treatment.Purpose .To explore the effect of efflux pump system and other resistance related gene mutations on tigecycline resistance in acinetobacter baumannii .Methods .Fluorescence quantitative pcr was used to detect the expression levels of major efflux pump genes ( ade b , ade j , and ade g ) in extensive drug‐resistant acinetobacter baumannii .The minimum inhibitory concentration (mic) of tigecycline was detected by the broth microdilution testing and efflux pump inhibition experiment to assess the role of efflux pump in tigecycline resistance of acinetobacter baumannii .Efflux pump regulatory genes ( ade r and ade s ) and tigecycline resistance related genes ( rps j , trm , and pls c ) were amplified by pcr and sequenced.By sequence alignment, tigecycline sensitive and tigecycline‐insensitive acinetobacter baumannii were compared with standard strains to analyze the presence of mutations in these genes.Results .The relative expression of ade b in the tigecycline‐insensitive acinetobacter baumannii was significantly higher than that in the tigecycline sensitive acinetobacter baumannii (114.70 (89.53‐157.43) vs 86.12 (27.23‐129.34), p = 0.025).When efflux pump inhibitor carbonyl cyanide 3‐chlorophenylhydrazone (cccp) was added, the percentage of tigecycline‐insensitive acinetobacter baumannii with tigecycline mic decreased was significantly higher than that of tigecycline‐sensitive acinetobacter baumannii (10/13 (76.9%) vs 26/59 (44.1%)), p = 0.032); the relative expression of ade b in the mic decreased group was significantly higher than that in the mic unchanged group (110.29 (63.62‐147.15) vs 50.06 (26.10‐122.59), p = 0.02); the relative expression levels of efflux pumps ade g and ade j did not increase significantly, and there was no significant difference between these groups.One ade r point mutation (gly232ala) and eight ade s point mutations (ala97thr, leu105phe, leu172pro, arg195gln, gln203leu, tyr303phe, lys315asn, gly319ser) were newly detected.Consistent mutations in trm and pls c genes were detected in both tigecycline‐insensitive and tigecycline‐sensitive acinetobacter baumannii , but no mutation in rps j gene was detected in them.Conclusion .Tigecycline‐insensitive acinetobacter baumannii efflux pump ade abc overexpression was an important mechanism for tigecycline resistance, and the mutations of efflux pump regulator genes ( ade r and ade s ) are responsible for ade abc overexpression.The effect of trm , pls c , and rps j gene mutations on the development of tigecycline resistance in acinetobacter baumannii remains controversial.

Journal: Computational and Mathematical Methods in Medicine (2023)
Publication types: Research Article;
Analysis of Data on Fludarabine, Cyclophosphamide, and Rituximab Chemoimmunotherapy for Chronic Lymphocytic Leukemia Shows High Patient Heterogeneity and the Need for More Consideration of Individualized Treatment

Object.In this study, bioinformatics analysis of differentially expressed genes (degs) and signaling pathway activities in different progression stages of chronic lymphocytic leukemia (cll) and pre- and post-chemoimmunotherapy (cit) treatment was performed.This may provide novel ideas for molecular diagnosis and individualized treatment strategies for cll patients.Methods.Data from single-cell rna sequencing (rna-seq) of cll patients were obtained from the gene expression omnibus database.The r package was utilized to analyze the data, and the relation of results was predicted via the gene mania website.The information of 7 samples covered three stages: observation stage, pretreatment by cit with rituximab, fludarabine, and cyclophosphamide (pre-cit), and post-cit.The differentially expressed genes (degs) were identified, and functional enrichment analyses were performed.B cell subpopulations and pseudotime trajectories analysis was conducted.Results.A total of 70,659 degs were identified.Each patient’s degs presented their own characteristics, with low similarity.Therefore, it is difficult to identify potential hub genes.Similarly, pathway enrichment analysis showed significant tumor heterogeneity among cll patients.Analysis of relapsed post-cit compared to the observation stage suggested that the tp53 pathway should be taken seriously as it is closely related to treatment strategy and patient prognosis.Conclusions.Tumor heterogeneity may be a more common manifestation of cll.Individualized treatment should be considered for cll.Tp53 abnormality and its regulatory factors should still be the focus of cll diagnosis and treatment.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Analysis of Carbapenemase-Resistant Genotypes of Highly Virulent Klebsiella pneumoniae and Clinical Infection Characteristics of Different MLST Types

Carbapenemase-resistant klebsiella pneumoniae (cr-kp) has become one of the nosocomial infections that seriously threaten the lives of patients, greatly increasing the burden on patients.In order to explore the resistance mechanism of clinically isolated cr-kp to carbapenems and perform multilocus sequence typing (mlst), to study the clinical characteristics of patients with different st types of infection, we collected 74 cr-kp strains clinically isolated from the main 6 hospitals in zhejiang province from january 2018 to july 2020.The sensitivity of the tested strains to 23 antibacterial drugs was determined by the microbroth dilution method, and pcr was applied.Gene amplification technology and dna sequencing methods were used to detect the carbapenemase gene of the tested strains.Through the mlst of the tested strains, the clonal correlation and molecular epidemiological characteristics of the tested strains were explored, and the characteristics of cr-kp resistance, resistance mechanisms, and clinical characteristics of bacterial infections under different mlst types were analyzed at the same time.The results showed that 74 carbapenem-resistant klebsiella pneumoniae strains showed high resistance to 21 commonly used antibacterial drugs, and all carbapenemase phenotypic screening tests were positive.Mlst typing showed that 74 cr-kp strains had 17 st typings, and st11 was the dominant type (54.05%).The study also found that these st11 strains are more likely to be resistant to carbapenem antibiotics.Most of them produce kpc carbapenemase, and a few are imp, vim, and ndm.Univariate analysis suggested that the proportion of patients in the st11 group receiving treatment in icu, the use rate of mechanical ventilation, and the proportion of drainage tube indwelling were higher than those in the non-st11 group, and the survival rate of the st11 group was lower than that of the non-st11 group.Clinical data suggested that the same hospital was dominated by the same clonal epidemic in the same period.In view of the analysis of clinical data suggesting that patients who have received icu treatment, mechanical ventilation, and drainage tube indwelling are prone to the risk of cr-kp strain (especially st11) infection and low survival rate, such patients should arouse extensive clinical attention.

Journal: Evidence-Based Complementary and Alternative Medicine (2021)
Publication types: Research Article;
Blockchain-Based Trust Management Framework for Cloud Computing-Based Internet of Medical Things (IoMT): A Systematic Review

The internet of medical things (io mt) is a smart medical device structure that includes apps, health services, and systems.These medical equipment and applications are linked to healthcare systems via the internet.Because io t devices lack computational power, the collected data can be processed and analyzed in the cloud by more computationally intensive tools.Cloud computing in io mt is also used to store io t data as part of a collaborative effort.Cloud computing has provided new avenues for providing services to users with better user experience, scalability, and proper resource utilization compared to traditional platforms.However, these cloud platforms are susceptible to several security breaches evident from recent and past incidents.Trust management is a crucial feature required for providing secure and reliable service to users.The traditional trust management protocols in the cloud computing situation are centralized and result in single-point failure.Blockchain has emerged as the possible use case for the domain that requires trust and reliability in several aspects.Different researchers have presented various blockchain-based trust management approaches.This study reviews the trust challenges in cloud computing and analyzes how blockchain technology addresses these challenges using blockchain-based trust management frameworks.There are ten (10) solutions under two broad categories of decentralization and security.These challenges are centralization, huge overhead, trust evidence, less adaptive, and inaccuracy.This systematic review has been performed in six stages: identifying the research question, research methods, screening the related articles, abstract and keyword examination, data retrieval, and mapping processing.Atlas.ti software is used to analyze the relevant articles based on keywords.A total of 70 codes and 262 quotations are compiled, and furthermore, these quotations are categorized using manual coding.Finally, 20 solutions under two main categories of decentralization and security were retrieved.Out of these ten (10) solutions, three (03) fell in the security category, and the rest seven (07) came under the decentralization category.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Review Article;
Breakdancing Movement Based on Image Recognition Promotes Preschool Children’s Executive Function and Intervention Plan

With the continuous development of science and technology, people can apply more and more technology to the cultivation of children’s abilities.In the process of cultivating children’s ability, the most fancy is the study of executive function, and this is the research topic of this article.In the past, training methods such as music, mindfulness, and exercise have been used in the study of children’s executive abilities to promote the development of preschool children’s executive functions.While various approaches have had some effect, researchers have been exploring more comprehensive approaches to effective training.This article is aimed at studying how to use image recognition technology to conduct an intervention analysis of breakdancing in promoting the executive function of preschool children.For this reason, this paper proposes image recognition technology based on deep learning neural network and conducts research, analysis, and improvement on related technologies obtained from deep learning.This makes it more suitable for the research topic of this article and design-related experiments and analysis to explore its related performance.The experimental results in this paper show that the improved image recognition technology has improved accuracy by 31.2%.And the performance of its algorithm is also improved by 21%, which can be very effective in monitoring preschool children during breakdancing.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
An Investigation of Electrospun Clerodendrum phlomidis Leaves Extract Infused Polycaprolactone Nanofiber for In Vitro Biological Application

The in vitro antibacterial, anticancer, and antioxidant activities of a few plant extracts were widely known for decades, and they were used for application in the conventional way.Specifically, electrospun nanofibrous mats have recently exhibited great antibacterial, anticancer, and antioxidant activities.The herbal extracts infused into these formations are expected to have a more efficient and integrated effect on in vitro biological applications.The purpose of this study is to develop polycaprolactone‐ (pcl‐) based nanofiber mats that are infused with a traditional plant extract using clerodendrum phlomidis leaves to improve the synthesized nanofibers’ antibacterial, anticancer, and antioxidant efficacy.This study examined the morphology, thermal properties, mechanical properties, structure, and in vitro drug release studies of electrospun nanofibers.Antibacterial, anticancer, and antioxidant activities of the electrospun nanofibrous mats were also studied.The hrtem and fesem pictures of pcl and pcl‐cpm nanofibers provide that smooth, defect‐free, and homogeneous nanofibers were found to be 602.08 ± 75 nm and 414.15 ± 82 nm for pcl and pcl‐cpm nanofibers, respectively.The presence of clerodendrum phlomidis extract in the electrospun nanofibers was approved by uv‐visible and ftir spectroscopy.The incorporation of clerodendrum phlomidis extract to nanofiber mats resulted in substantial antibacterial activity against bacterial cells.Pcl‐cpm mats exposed to oral cancer (hsc‐3) and renal cell carcinoma (achn) cell lines displayed promising anticancer activity with less than 50% survival rate after 24 h of incubation.2,2‐diphenyl‐1‐picrylhydrazyl (dpph) assay performed on pcl‐cpm nanofibers revealed the antioxidant scavenging activity with maximum inhibition of 34% suggesting the role of the secondary metabolites release from scaffold.As a result, the findings of this study revealed that clerodendrum phlomidis extract encapsulating pcl electrospun nanofibers has a high potential for usage as a biobased antibacterial, anticancer, and antioxidant agent.

Journal: Bioinorganic Chemistry and Applications (2022)
Publication types: Research Article;
An Eight-mRNA Prognostic Model to Predict Survival in Hepatic Cellular Cancer

Transcriptional dysregulation plays a critical role in the onset and development of malignant tumors.Employing gene dysregulation to forecast the change of tumors is valuable for cancer diagnosis.However, the prognostic prediction for hcc using combined gene models remains insufficient.Methods .The expression profiles of gse103512 and tcga‐lihc were downloaded.Gene ontology (go) was used to evaluate the overlapping differential genes (deg) in tcga and gse103512.The core genes in the critical module most significantly related to hcc were obtained by wgcna.Eight genes most significantly related to hcc and os were identified by reweighted coexpression network analysis and cox regression.Results .We selected eight genes, fzeb1, cdk1, rad54l, col1a2, atp1b3, casp8, usp39, and hoxb7.Moreover, we constructed an eight‐gene model and forecasted the prognosis of hcc.Roc curve of the eight‐m rna prognostic model was screened out (auc = 0.635), suggesting that this model exhibited a good prediction performance.Survival analysis showed that the survival rate of patients in the high‐risk group was significantly lower than that in the low‐risk group.Conclusion .The eight‐m rnas model might forecast the os of hcc patients and advance remedial decision‐making.

Journal: Computational and Mathematical Methods in Medicine (2023)
Publication types: Research Article;
An Analytical Study of Speech Pathology Detection Based on MFCC and Deep Neural Networks

Diseases of internal organs other than the vocal folds can also affect a person’s voice.As a result, voice problems are on the rise, even though they are frequently overlooked.According to a recent study, voice pathology detection systems can successfully help the assessment of voice abnormalities and enable the early diagnosis of voice pathology.For instance, in the early identification and diagnosis of voice problems, the automatic system for distinguishing healthy and diseased voices has gotten much attention.As a result, artificial intelligence-assisted voice analysis brings up new possibilities in healthcare.The work was aimed at assessing the utility of several automatic speech signal analysis methods for diagnosing voice disorders and suggesting a strategy for classifying healthy and diseased voices.The proposed framework integrates the efficacy of three voice characteristics: chroma, mel spectrogram, and mel frequency cepstral coefficient (mfcc).We also designed a deep neural network (dnn) capable of learning from the retrieved data and producing a highly accurate voice-based disease prediction model.The study describes a series of studies using the saarbruecken voice database (svd) to detect abnormal voices.The model was developed and tested using the vowels /a/, /i/, and /u/ pronounced in high, low, and average pitches.We also maintained the “continuous sentence” audio files collected from svd to select how well the developed model generalizes to completely new data.The highest accuracy achieved was 77.49%, superior to prior attempts in the same domain.Additionally, the model attains an accuracy of 88.01% by integrating speaker gender information.The designed model trained on selected diseases can also obtain a maximum accuracy of 96.77% ( cordectomy × healthy ).As a result, the suggested framework is the best fit for the healthcare industry.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;