syedzayyan/paper_mill_benchmark huggingface dataset:
Effect of 1 + N Extended Nursing Service on Functional Recovery of Colostomy Patients

To many hospitals' management as well as to patients, the nursing service is one of the most important aspects.Many diseases like sugar, blood pressure, urine passage, and gas are a little bit dangerous to handle by patients themselves.The earlier stage models are unable to give good services to patients; therefore, an advanced jhe: effect of 1 + n extended nursing service is necessary to crossover the above limitations.Colostomy and colorectal cancers are very dangerous syndromes thus, disease monitoring is so difficult.In this research work, an extended jhe: effect of 1 + n extended nursing service modeling is discussed with experimental modeling.Apart from conventional nursing care provided by the observation group, it was given online training as well as service providing.Self-efficacy and self-care competence were assessed in both groups 6 months after the discharge.Quality of life and mental health were also assessed.Besides, their dimensional and total self-care ability scores, and the observation group’s self-efficacy ratings were substantially higher than those of the control group ( p 0.05) after the intervention.It was observed that the intervention group’s 6-month adjustment to the stoma was statistically more favorable than the control group’s ( p 0.001), and only the intervention group showed a significantly major change ( p 0.001) between their two evaluations.This proposed methodology can improve the accuracy rate by 93.23%, and succussive treatment rate of 92.14% had been attained.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
E-Commerce across Boarder Logistics Risk Evaluation Model Based on Improved Neural Network

Bp neural network is a typical algorithm in artificial intelligence network.It has strong nonlinear mapping ability and is the most prominent part to solve some nonlinear problems.In the traditional bp algorithm, the coincidence initialization of weights and thresholds is random, which reduces the efficiency of the algorithm on the one hand and affects the accuracy of the algorithm results on the other hand.In order to solve these problems, this paper studies an e-commerce cross-border logistics risk assessment model based on improved neural network.This model can help merchants engaged in cross-border e-commerce to select appropriate third-party settlement platforms, so as to reduce the cost of merchants in the process of capital settlement.The key information in bp neural network algorithm is stored in weights and thresholds, which is enough to prove the importance of weights and thresholds for the effective operation of the whole network.The e-commerce cross-border logistics risk assessment model based on improved neural network aims to solve the problem of low level of risk assessment and the bottleneck of logistics risk assessment.The improved e-commerce cross-border logistics risk assessment model based on neural network can be used for risk rating before business development, so as to adopt different risk management methods for different risk levels.

Journal: Journal of Function Spaces (2022)
Publication types: Research Article;
Double-Negative T Cells Attenuate Cisplatin-Induced Acute Kidney Injury via Upregulating IL-10/AT2R Axis

Our previous research showed that tcr+cd4-cd8-double-negative (dn) t cells protect renal epithelial cells from cisplatin-induced acute kidney injury (aki).Therefore, this study is aimed at investigating the mechanism underlying the effect of dn t cells against cis-induced aki.Methods.Hk-2 cells cultured alone or with dn t cells were treated with or without cis.After treatment, the cell viability and death were analyzed by a cck-8 kit and flow cytometric assay with annexin v/pi staining, respectively.The expressions of inflammatory factors in hk-2 and dn t cells were analyzed using q pcr.The expression levels of nephrotoxicity-associated biomarkers (kim, calbindin, and timp-1), bcl-2, and angiotensin at2 receptor (at2r) were determined by western blot and q pcr.Results.The administration of cisplatin significantly decreased the cell viability and at2r expression, and increased cell death, inflammatory factors, and nephrotoxicity-associated biomarkers of hk-2 cells, while these effects were partly attenuated when cocultured with dn t cells.Il-10 expression was significantly increased in dn t cells after coculture, and cisplatin treatment aggravated this elevation.Il-10 supplementation exhibited a similar effect to coculture, whereas anti-il-10 antibody reversed the effect of coculture on cisplatin-treated hk-2 cells.Finally, pd123319, an at2r antagonist, also reversed the effect of il-10 and coculture on the cell viability, death, and the expression of kim, calbindin, timp-1, and bcl-2 of cisplatin-treated hk-2 cells.Conclusions.Dn t cells protected hk-2 cells from cisplatin-induced injury through il-10/at2r axis, which may act as a potential target for the treatment of cisplatin-induced aki.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Discussion on the Transoral Vestibular Approach Endoscopy for TC Patients and the Significance of Serum 25-Hydroxyvitamin D Classification

In order to discuss the transoral vestibular approach endoscopy through oral vestibular approach in tc and the efficacy of 25(oh)d classification, a total of 110 tc patients from january 2020 to june 2021 are selected.The endoscopic group and the control group are respectively established according to different surgical approaches, with 55 cases in each group.The control group received conventional tc resection, while the endoscopic group received endoscopic assisted tc resection through oral vestibular approach.The differences of intraoperative and postoperative indicators, clinical efficacy, incidence of adverse complications, vas score, and total satisfaction are observed.Tc resection assisted by endoscopy through oral vestibular approach can effectively improve all intraoperative indicators and reduce postoperative pain and has high safety in clinical application.In addition, this study conducted in-depth analysis and classification of serum 25(oh)d index level in postoperative tc patients, indicating that the serum 25(oh)d index level is closely related to prognosis, providing a basis for follow-up clinical monitoring of tc patients’ signs and optimization of diagnosis and treatment plans.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Diffusion Tensor Imaging Observation of Frontal Lobe Multidirectional Transcranial Direct Current Stimulation in Stroke Patients with Memory Impairment

Stroke is a group of diseases caused by the sudden rupture or blockage of blood vessels in the brain that prevent blood from flowing into the brain, resulting in brain tissue damage and dysfunction.Stroke has the characteristics of high morbidity, high disability, and high mortality.To investigate the effect of multidirectional transcranial direct current stimulation (t dcs) of the prefrontal lobe in stroke memory disorder.We evaluated 60 patients with poststroke memory impairment who underwent magnetic resonance diffusion tensor imaging (dti) during their admission to our hospital between january 2018 and december 2020.The patients were divided into the prefrontal group (n = 15), dorsolateral group (n = 15), prefrontal + dorsolateral group (n = 15), and pseudostimulation group (n = 15).Assessments using the rivermead behavioral memory test (rbmt), montreal cognitive assessment scale (mo ca), lovingston occupational therapy cognitive scale (lotca), and frontal lobe fractional anisotropy (fa) were performed before and after treatment.The rbmt, mo ca, and lotca scores in the prefrontal + dorsolateral group were significantly higher than those in the dorsolateral, prefrontal, and sham groups (all p &lt; 0.05 ).The posttreatment fa value of the frontal lobe was significantly higher in the prefrontal + dorsolateral group than in the dorsolateral, prefrontal, and sham stimulation groups (all p &lt; 0.05 ).The fa value of the frontal lobe was significantly lower in patients with severe memory impairment than in patients with mild-moderate memory impairment ( p &lt; 0.05 ).The area under the receiver operating characteristic curve was 0.801 (95% ci: 0.678–0.925, p &lt; 0.05 ), and the optimal cut-off value was 0.34, with a sensitivity and specificity of 81.60% and 72.70%, respectively.Prefrontal lobe + dorsolateral t dcs is beneficial in the treatment of post-stroke memory impairment.The dti fa value can be useful in determining the degree of memory impairment.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Differential Prognostic Analysis of Higher and Lower PEEP in ARDS Patients: Systematic Review and Meta-Analysis

Positive end-expiratory pressure (peep) refers to the positive pressure in the respiratory tract at the end of the exhalation when we use a ventilator.The differences of higher peep and lower peep on clinical outcomes in acute respiratory distress syndrome (ards) patients are less well known.Methods.A comprehensive literature search of all randomized control trials (rcts) was conducted using pub med, embase, world health organization (who) global index medicus, who clinical trial registry, and clinicaltrials.gov.Inclusion criteria included rcts comparing the clinical outcomes of higher and lower peep in ards patients.Results.Eleven studies were included in the final analysis.In the higher peep group, the hospital mortality, 28-day mortality, and icu mortality showed no significantly lower risk compared to the lower peep group (rr = 0.92, 95% ci 0.80–1.05, p = 0.22; rr = 0.88, 95% ci 0.73–1.05, p = 0.15; rr = 0.84, 95% ci 0.67–1.05, p = 0.12; respectively).High certainty could be obtained that there is no significant difference between the clinical outcomes of higher peep and lower peep in ards patients.Conclusions.There is no significant difference of the hospital mortality, 28-day mortality, and icu mortality between higher and lower peep in ards patients.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Meta-Analysis;
Diagnostic Value of the Triple Combination of Serum Heparin-Binding Protein, Procalcitonin, and C-Reactive Protein in Children with Acute Bacterial Upper Respiratory Tract Infection

To investigate the role of the triple combination serum heparin-binding protein (hbp), procalcitonin (pct), and c-reactive protein (crp) in children with acute bacterial upper respiratory tract infection (aburti).A total of 130 children with upper respiratory tract infection admitted to the department of pediatrics of fujian maternity and child health hospital from september 2019 to january 2021 were selected as the research group.According to the results of pathogenic analysis, children were further subdivided into a bacterial infection group (n = 67) and a viral infection group (n = 63).Additionally, 65 children who underwent physical examinations in our hospital during the same period were collected and included into the control group (n = 65).All patients selected were treated with cefixime granules orally for 5 days.Serum hbp level, serum pct level, and serum crp level were measured by double antibody sandwich enzyme linked immunosorbent assay (elisa), fluorescence method, and immunoturbidimetric assay, respectively.The expression levels of the three indicators in the serum of all subjects were compared, and the receiver operating characteristic (roc) curve was used to analyze their diagnostic value in children with aburti.Furthermore, according to clinical efficacy of children with bacterial infections, they were divided into a good efficacy group (markedly effective) and a poor efficacy group (effective + ineffective) to compare serum hbp, pct, and crp levels between the two groups.The roc curve was drawn to analyze the value of the three indicators in predicting the curative effect in children with aburti.Pearson test was used to analyze the correlation among the expression of hbp, pct, and crp.Results showed that the expression levels of hbp, pct, and crp in the serum of children in the bacterial infection group were significantly higher than those in the other two groups.The positive rates of hbp, pct, and crp in children in the bacterial infection group were also significantly higher than those of the other two groups.The area under the curve (auc) of the combined diagnosis of hbp, pct, and crp was 0.973, which was significantly higher than that of the single detection by any of the three indicators, which were 0.849, 0.819, and 0.854, respectively.The expression levels of hbp, pct, and crp in the serum of children in the good efficacy group were significantly lower than those in the poor efficacy group, and the auc of the triple combination for predicting treatment efficacy was 0.959.Pearson test showed that there was a positive correlation between the serum expression of hbp, pct, and crp in children.Hbp, pct, and crp were highly correlated in children with aburti, and their combined detection was of high diagnostic value among aburti patients, indicating that the three were expected to become potential indicators for efficacy prediction.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Dexmedetomidine Attenuates LPS-Induced Acute Lung Injury in Rats by Activating the Nrf2/ARE Pathway

To investigate the effect of dexmedetomidine (dex) on lipopolysaccharide (lps)-induced acute lung injury (ali) in rats and its mechanism.Methods.Eighteen sd rats were randomly divided into 3 groups (6 rats in each group): control group (intratracheal instillation of saline), ali group (intratracheal instillation of 5 mg/kg lps), and ali-dex group (tail vein injection of 50 μg/kg/h dex + intratracheal instillation of lps).Subsequently, the water content of lung tissues was assessed using the wet-dry (w/d) ratio and the histopathological changes of lung tissues using h&amp;e staining.Further activities of ros, sod, and gsh-px in lung tissues of rats were measured by an automatic biochemistry analyzer.Elisa was performed to detect tnf-α, il-1β, and il-6 expression in alveolar lavage fluid (balf) and western blot to detect the expression of nrf2/are pathway-related proteins.Results.After dex treatment, a reduction in water content in lung tissue and an improvement of lung injury were found in the ali rats.Compared with the ali group, rats in the ali-dex group had decreased ros activity and increased activities of sod and gsh-px in lung tissues.Dex-treated rats were also associated with a decrease in tnf-α, il-1β, and il-6 expression in alveolar lavage fluid (balf).Additionally, increased expression levels of ho-1 and nqo1 in lung tissues and elevated expression of nrf2 in the nucleus were shown in the ali-dex group compared with the ali group.Conclusion.Dex alleviates lps-induced ali by activating the nrf2/are signaling pathway.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Development of a Model System to Study Expression Profile of RAC2 Gene in Breast Cancer MDA-MB-231 Cell Line

The rac2 gene encoding gtpases involve cellular signaling of actin polymerization, cell migration, and formation of the phagocytic nadph oxidase complex.Oncogenic mutations in the rac2 gene have been identified in various cancers, and extensive research is in progress to delineate its signaling pathways and identify potential therapeutic targets in breast cancers.This paper explored developing a bioinformatics model system to understand the rac2 gene expression pattern concerning estrogenic receptor status in breast cancers.We have used the mda-mb-231 breast cancer cell line to identify rac2 gene expression.To simplify the development of model system with one dataset, we retrieved the microarray dataset gse27515 from the gene expression omnibus (geo) for the differential gene expression analysis.Then, network analysis, pathway enrichment analysis, volcano plot, ora, and the up/downregulated genes were used to highlight genes involved in signaling network pathways.We observed that the rac2 gene is upregulated in the gsm679722, gsm676923, and gsm679724 downregulated in the samples gsm676925, gsm676926, and gsm676927 from the geo dataset.Our observation found that the rac2 gene is upregulated in the estrogen receptor (er) negative breast cancers and downregulated in er-positive breast cancer, involving pathways such as focal adhesion, mapk signaling, axon guidance, and vegf signaling pathway.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Risk Prevention of E-Commerce Supply Chain Financial Market Based on High-Performance Computing

As an emerging industry, e-commerce mainly relies on online platforms to provide products and services for enterprises and consumers, and it has its own risks in the development of supply chain finance.When developing an online business, it can rely on the support of developed logistics and physical stores, which has its special advantages in operating supply chain finance, but at the same time, it also brings special business risks.With the rapid development of economic level in recent years, the application of ec supply chain has become more and more extensive.The emergence of ec supply chain has injected strong vitality into the financial market, but at the same time, the ec supply chain financial business is also facing huge risks.For cross-border import e-commerce companies, the core of the supply chain is the source of goods and logistics.Enterprises have more resources, which means that they have more initiative in the fierce competition, and a stable and perfect supply chain will be the core competitiveness of the cross-border import e-commerce industry.The purpose of this paper is to study how to prevent risks in the ec supply chain financial market based on high-performance computing.This paper puts forward the importance of high-performance computing and the significance of ec supply chain development and proposes preventive measures against financial market risks in ec supply chain.From the data in the experimental part of this paper, it can be known that the development trend of the risk generated by the ec supply chain in 2010 accounted for 6.9%.By 2015, the percentage of the development trend of ec supply chain risk was 17.9%, an increase of 11%.It can be seen that the development of ec supply chain risk is very rapid, so how to prevent the financial market risk of ec supply chain is very urgent.From the data, it can be seen that the exogenous risk in the e-commerce supply chain has a score of 7.4–8.4 for market risk, a score of 7.7–9.1 for economic risk, and the highest score for economic risk.Risk is the biggest risk factor.The characteristics of supply chain risk are not only complex, diverse, and uncertain but also transitive and virtual.

Journal: Mobile Information Systems (2022)
Publication types: Research Article;
Rational Supplier Selection Based on Two-Phase Deep Analysis considering Fuzzy QFD and Game Theory

Viewing from the perspective of a traditional manufacturing enterprise, the paper proposes a fuzzy comprehensive evaluation system model, which selects the most suitable supplier or suppliers to undertake the supply tasks and to achieve the purposes of reducing procurement costs and improving the supply quality and reliability, so as to fully meet customer demands.Based on decision-makers’ preferences and suppliers’ supply capabilities, subjective and objective weight of criteria are both developed for supplier selection with the corresponding weighting method, namely, quality function deployment (qfd) and entropy weight.Specially, the two-phase fuzzy qfd method combined with the trapezoidal fuzzy number (tfn) is creatively applied to realize the complicated conversion process.Furthermore, the game theory is employed to combine the advantages of the subjective and objective weighting method, by which the comprehensive weight can be determined.A numerical example is given to demonstrate the proposed modeling process.Through programming drawing images for comparative analysis and sensitivity analysis, study image trends, and draw conclusions, the proposed model effectively alleviates the weight deviation and has higher rationality and extensibility in supplier selection.

Journal: Mobile Information Systems (2021)
Publication types: Research Article;
Media Content Mining Based on Artificial Intelligence and Network Interaction

In recent years, due to the explosive growth of social media information, mining hot information in social media has become a research direction of great concern.In this paper, python crawler technology is used to crawl the semi-structured text data of food safety news from static web pages and dynamic web pages.After preprocessing, the structured text data required to establish a document clustering algorithm (casc) based on a convolutional neural network is obtained.Using the feature extraction ability of convolutional neural network and self-encoder, while preserving the internal structure of the original data to the greatest extent, it is embedded into the low-dimensional potential space for clustering.Finally, it is compared with the performance of the k-means algorithm and spectral clustering algorithm.The experimental results show that the casc algorithm reduces the running time and time complexity of the algorithm on the premise of ensuring clustering accuracy.The casc algorithm is superior to the k-means algorithm and spectral clustering algorithm in precision, recall, and composite index.At the same time, the running time is 91 seconds faster than the k-means algorithm and 5 seconds faster than the spectral clustering algorithm.

Journal: Mobile Information Systems (2022)
Publication types: Research Article;
Dynamic Evaluation and System Coordination Study of Asset Valuation Based on Deep Learning

With the rapid development of artificial intelligence, the information construction of the database plays a very important role in various industries, such as the field of asset appraisal.Therefore, we can use deep learning technology to carry out a dynamic evaluation of asset appraisal, simultaneously adjust, and improve the coordination degree for such system.In this paper, according to asset appraisal theory, we conduct a comprehensive scientific study on asset appraisal about the information construction of the database and the evaluation system, which is conducive to promote the self-improvement and development of the asset appraisal industry in terms of internal control construction.Experimental results show that our method using dl (deep learning) can well accomplish the dynamic evaluation of asset appraisal with competitive performance.

Journal: Mathematical Problems in Engineering (2022)
Publication types: Research Article;