syedzayyan/paper_mill_benchmark huggingface dataset:
miRNA-448 Regulates the Development of Glioblastoma (GBM) by Regulating Rho-Associated Protein Kinase 1

Glioblastoma (gbm) is an aggressive adult brain tumor that poses a huge threat to people’s health.Previous studies have shown that micro rnas (mi rnas) are important regulators in the progression of gbm.However, the role of mi r-448 in gbm remains largely unknown.Therefore, the regulatory mechanism of mi r-448 in the development of gbm is elucidated in this study.Methods.The protein and m rna expressions of mi r-448 and rock1 were measured by western blot analysis and rt-q pcr.Cell proliferation, migration, and invasion were detected by cck-8 assay and transwell assay.The relationship between mi r-448 and rock1 was probed by luciferase reporter assay.Results.Mi r-448 expression was downregulated in gbm tissues and cells.And poor clinical outcomes of gbm patients were related to mi r-448 downregulation.Functionally, overexpression of mi r-448 restrained cell viability, migration, and invasion in gbm.Additionally, mi r-448 reduced rock1 expression by binding to its 3 ′ -utr.Moreover, knockdown of rock1 inhibited the progression of gbm.Furthermore, overexpression of rock1 abolished the antitumor effect of mi r-448 in gbm.Conclusion.Mi r-448 restrained cell viability, invasion, and migration in gbm by inhibiting rock1 expression.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Meta-Analysis Study on Treatment of Children’s Attention Deficit Disorder with Hyperactivity

With the development of society and the economy, the prevalence of attention deficit hyperactivity disorder (adhd) has been increasing.Due to its high comorbidity and high harm, it has received increasing attention.It causes damage to functions in multiple areas, and this damage may continue into adulthood.Adhd is a common developmental disorder characterized by persistent attention deficit and hyperactivity/impulsivity.Adhd often merges with other diseases, such as oppositional defiant disorder, conduct disorder, personality disorder, anxiety disorder, mood disorder, and substance dependence.The disease tends to cause children with learning difficulties, poor grades, strained relationships with family members and children of the same age, lack of self-esteem, and children with low occupation, low income, substance abuse, and antisocial personality characteristics when they grow up to adults.Many countries have formulated adhd treatment guidelines for this purpose, but there is still a lack of consensus.This article uses literature research and the meta method: rev man 5.3 software is used for data analysis.The analysis results show that traditional chinese medicine has characteristics and advantages in the clinical total effective rate and hyperactivity index score in the treatment of adhd.The overall clinical syndrome differentiation of the treatment can be summarized as liver and kidney yin deficiency and liver yang partial prosperity.The overall medication is based on the methods of nourishing yin and clearing heat, calming the liver and nourishing kidney, and nourishing yin and suppressing yang.The efficacy and safety evaluation of traditional chinese medicine in the treatment of adhd need to be further verified by large-sample clinical trials with strict design and standardized outcome index reporting.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Meta-Analysis;
Meta-Analysis on the Application Value of Collaborative Nursing in Postcolostomy Nursing of Patients with Colorectal Cancer

To systematically evaluate the effect of collaborative nursing on self-care ability of postcolostomy patients with colorectal cancer (crc).Methods.Pub med, web of science, embase, china national knowledge infrastructure, and wanfang databases were searched to collect relevant literatures on randomized controlled trials of postcolostomy patients with crc.The search period was started from 2010 to 2021.Statistical analysis was performed on the data extracted from the comprehensive meta-analysis with stata 16.0 analysis software.Results.As a result, it was found that the incidence of adverse reactions in the control group was higher than that in the treatment group.Seven studies included the preintervention self-care concept and preintervention self-care skills.Six studies included preintervention self-care responsibility and preintervention exercise of self-care agency (esca) scale.In the comparison among the concept of self-care after intervention, self-care skills, self-care responsibility, and esca scale, all of them had higher scores in the treatment group than in the control group ( p &lt; 0.05 ).It fully explains that collaborative nursing can significantly improve the evaluation indicators of patients’ self-care ability and reduce patient complications.Conclusion.The application of collaborative nursing in the nursing work of patients with crc after colostomy can significantly reduce the incidence of adverse nursing reactions.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Meta-Analysis;
Meloxicam Alleviates Sepsis-Induced Kidney Injury by Suppression of Inflammation and Apoptosis via Upregulating GPNMB

At present, renal injury caused by sepsis seriously endangers the health of patients.Our paper proposed to study the protective effects of meloxicam (mel) in sepsis-induced acute kidney injury (saki) and the underlying mechanisms.Methods.The in vitro and in vivo models of saki were established using lipopolysaccharide (lps).Mel was injected intraperitoneally at 60 mg/kg into male c57bl/6 mice 4 hours before lps injection (10 mg/kg).The hk-2 cells were treated with lps (1 μg/m l) and mel (40 μm).The renal function and renal pathological changes as well as renal inflammation and apoptosis were detected in saki mice.The inflammation and apoptosis of hk-2 cells induced by lps were also detected.Results.The treatment of mel significantly decreased the elevated levels of serum creatinine (scr) and blood urea nitrogen (bun) in saki mice.In addition, the results of he staining suggested that mel significantly reduced kidney damage in saki mice.Consistently, mel reduced the expression of lps-induced kidney injury markers (ngal and kim-1).Moreover, lps induced the expression of inflammatory cytokines (il-1β, il-6, and tnf-α) in the kidney, which can be reduced by mel.Furthermore, mel effectively reduced the number of apoptotic cells and inhibited the expression of proapoptotic-related proteins (cleaved caspase-3 and bax) but increased the antiapoptotic-related protein (bcl-2) in the kidneys of saki mice.Mechanistically, mel inhibited the phosphorylation of p65 but induced the phosphorylation of akt and the expression of glycoprotein b of nonmetastatic melanoma (gpnmb).However, knocking down gpnmb can eliminate the anti-inflammatory and antiapoptotic effects of mel.Conclusion.Mel alleviated sepsis-induced kidney injury by inhibiting kidney inflammation and apoptosis via upregulating gpnmb.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Medical Data Acquisition and Internet of Things Technology-Based Cerebral Stroke Disease Prevention and Rehabilitation Nursing Mobile Medical Management System

This research was aimed at exploring the application value of a mobile medical management system based on internet of things technology and medical data collection in stroke disease prevention and rehabilitation nursing.In this study, on the basis of radio frequency identification (rfid) technology, the signals collected by the sensor were filtered by the optimized median filtering algorithm, and a rehabilitation nursing evaluation model was established based on the backpropagation (bp) neural network.The performance of the medical management system was verified in 32 rehabilitation patients with hemiplegia after stroke and 6 healthy medical staff in the rehabilitation medical center of the hospital.The results showed that the mean square error (mse) and peak signal-to-noise ratio (psnr) of the median filtering algorithm after optimization were significantly higher than those before optimization ( p &lt; 0.05 ).When the number of neurons was 23, the prediction accuracy of the test set reached a maximum of 89.83%.Using traingda as the training function, the model had the lowest training time and root mean squared error (rmse) value of 2.5 s and 0.29, respectively, which were significantly lower than the traingd and traingdm functions ( p &lt; 0.01 ).The error percentage and rmse of the model reached a minimum of 7.56% and 0.25, respectively, when the transfer functions of both the hidden and input layers were tansig.The prediction accuracy in stages iii~vi was 90.63%.It indicated that the mobile medical management system established based on internet of things technology and medical data collection has certain application value for the prevention and rehabilitation nursing of stroke patients, which provides a new idea for the diagnosis, treatment, and rehabilitation of stroke patients.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Medical Communication Services after Traumatic Spinal Cord Injury

It is difficult to assess and monitor the spinal cord injury (sci) because of its pathophysiology after injury, with different degrees of prognosis and various treatment methods, including laminectomy, durotomy, and myelotomy.Medical communication services with different factors such as time of surgical intervention, procedure choice, spinal cord perfusion pressure (scpp), and intraspinal pressure (isp) contribute a significant role in improving neurological outcomes.This review aims to show the benefits of communication services and factors such as isp, scpp, and surgical intervention time in order to achieve positive long-term outcomes after an appropriate treatment method in sci patients.The scpp was found between 90 and 100 mm hg for the best outcome, map was found between 110 and 130 mm hg, and mean isp is ≤20 mm hg after injury.Laminectomy alone cannot reduce the pressure between the dura and swollen cord.Durotomy and duroplasty considered as treatment choices after severe traumatic spinal cord injury (tsci).

Journal: Journal of Healthcare Engineering (2021)
Publication types: Review Article;
Machine Learning Approaches for Developing Land Cover Mapping

In remote sensing data processing, cover classification on decimeter-level data is a well-studied but tough subject that has been well-documented.The majority of currently existent works make use of orthographic photographs or orthophotos and digital surface models that go with them (dsms).Urban land cover classification plays a significant role in the field of remote sensing to enhance the quality of different applications including environment protection, sustainable development, and resource management and planning.Novelty of the research done in this area is focused on extracting features from high-resolution satellite images to be used in the classification process.However, it is well known in machine learning literature that some of the extracted features are irrelevant to the classification process with a negative or no effect on its accuracy.In this work, a genetic algorithm-based feature selection approach is used to enhance the performance of urban land cover classification.Neural networks (nns) and random forest (rf) classifiers were used to evaluate the proposed approach on a recent urban land cover dataset of nine different classes.Experimental results show that the proposed approach achieved better performance with rf classifier using only 27% of the features.The random forest tree has achieved highest accuracy 84.27%; it is concluded that the rf algorithm is an appropriate algorithm for classifying cover land.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Machine Learning Algorithms for Prediction of Survival Curves in Breast Cancer Patients

Today, cancer is the second leading cause of death worldwide, and the number of people diagnosed with the disease is expected to rise.Breast cancer is the most commonly diagnosed cancer in women, and it has one of the highest survival rates when treated properly.Because the effectiveness and, as a result, survival of the patient are dependent on each case, it is critical to know the modelling of their survival ahead of time.Artificial intelligence is a rapidly expanding field, and its clinical applications are following suit (having surpassed humans in many evidence-based medical tasks).From the inception of since first stable risk estimator based on statistical methods appeared in survival analysis, there have been numerous versions of it created, with machine learning being used in only a few of them.Nonlinear relationships between variables and the impact they have on the variable to be predicted are very easy to evaluate using statistical methods.However, because they are just mathematical equations, they have flaws that limit the quality of their output.The main goal of this study is to find the best machine learning algorithms for predicting the individualised survival of breast cancer patients, as well as the most appropriate treatment, and to propose new numerical variable stratifications.They will still be carried out using unsupervised machine learning methods that divide patients into groups based on their risk in each dataset.We will compare it to standard groupings to see if it has more significance.Knowing that the greatest challenge in dealing with clinical data is its quantity and quality, we have gone to great lengths to ensure their quality before replicating them.We used the cox statistical method in conjunction with other statistical methods and tests to find the best possible dataset with which to train our model, despite its ease of multivariate analysis.

Journal: Applied Bionics and Biomechanics (2021)
Publication types: Research Article;
Lateral Ventricular Volume Asymmetry and Optic Nerve Sheath Diameter Predict Intracranial Pressure in Traumatic Brain Injury Patients

Various noninvasive methods of intracranial pressure (icp) measurement have been proposed.Each has unique advantages and limitations.This study was aimed at investigating the relationships between lateral ventricular asymmetry on admission computed tomography, optic nerve sheath diameter (onsd), and icp in traumatic brain injury (tbi) patients.Methods.A prospective observational study was conducted in the patients admitted to our department between october 2018 and october 2020.20 patients with moderate-severe tbi with a glasgow coma scale of 3–12 were enrolled.Lateral ventricle volume (lvv) value measurements were conducted using itk-snap software.The lateral ventricular volume ratio (lvr) was quantified by dividing the larger lvv by the smaller.Results.Onsd and lvr had a good correlation with icp.Admission lvr of &gt;1.735 was shown to have a sensitivity of 90.9% and a specificity of 88.9% for prediction of icp increase ( auc = 0.879 ; standard error = 0.091 ; 95% ci = 0.701 to 1.0; significance level p &lt; 0.004 ).Admission onsd of &gt;5.55 mm was shown to have a sensitivity of 81.8% and a specificity of 88.9% for prediction of icp increase ( auc = 0.919 ; standard error = 0.062 ; 95% ci = 0.798 to 1.0; significance level p &lt; 0.002 ).Combining the onsd and lvr, the sensitivity could be improved to 90.9% in parallel test, and the specificity could be improved to 100% in serial test.Conclusion.Onsd and lvr measurements can diagnose elevated icp in traumatic brain injury patients.Onsd combining with lvr may further improve the diagnostic evaluation.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Krüppel-Like Factor 6 Downregulation Is Connected with a Poor Prognosis and Tumor Growth in Non-Small-Cell Lung Cancer

Research in this article was performed to explore the biological role and clinical significance of krüppel-like transcription factor 6 (klf6) in non-small-cell lung cancer (nsclc).Methods.Klf6 expression in nsclc cell lines was analyzed using reverse transcription pcr and western blot.The expressed klf6 protein was examined in 50 surgical nsclc tissues using immunohistochemistry.Statistical analyses were employed for clinical association examinations.Cck8 assay and annexin v/pi analysis were used to execute cell proliferation and apoptosis in klf6-overexpression cell lines and the control groups.Cleaved caspase-3 expression was also detected in klf6-overexpression cells and nsclc tissues.Klf6 expression correlation with cleaved caspase-3 was also examined.Results.It was discovered that downregulation of klf6 was seen in human nsclc cell lines.Low klf6 expression in nsclc tissues was correlated with poor patient prognosis ( p &lt; 0.005 ); patients with less klf6 expression possessed a lower cumulative 5-year survival rate.Multivariate analysis showed klf6 expression as an independent prognostic indicator for nsclc individuals.Expression levels of klf6 were associated with nsclc tumor size ( p = 0.041 ).Overexpression of klf6 inhibited cell proliferation and stimulated a549 and h322 cell line apoptosis.Cleaved caspase-3 protein had higher expression levels in klf6-overexpressed cells than in the control group.The klf6 expression levels were positively related to the cleaved caspase-3 protein expression in nsclc tissues ( r = 0.689 , p = 0.001 ).Conclusions.The results indicate that downregulation of klf6 is a significant nsclc progression marker.Klf6 prevents cell growth and promotes cell apoptosis, possibly caspase-3 activations.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Knockdown of lncRNA ENST00000603829 Inhibits the Proliferation and Invasion of Salivary Gland Pleomorphic Adenoma through Regulating Cyclin D1

Salivary gland pleomorphic adenoma (spa) is a benign neoplasm that can still recur even after radical surgery.To investigate its underlying pathogenesis, here, we examined the significance of lnc rna enst00000603829 in the proliferation and invasion of spa.Methods.Spa tissues ( n = 30 ) and adjacent normal tissues (nc; n = 30 ) were collected from spa patients treated at our hospital from june 2017 to december 2019.The human normal salivary gland epithelial cell line (hsg) and spa cells (pa30, pa37, and pa116) were cultured.Q rt-pcr was used for detecting the expression of cyclin d1 and lnc rna enst00000603829 in tissues and cells.Lnc rna enst00000603829/cyclin d1 was knocked down or overexpressed in pa116 cells.The expression of cyclin d1 and lnc rna enst00000603829 in different cell lines was examined using q rt-pcr.Transwell assays and cell counting kit-8 (cck-8) were used to assess cellular invasion and proliferation.The testing result regarding the apoptosis rate and cell cycle was obtained via flow cytometry.Western blot provided the measurement of cyclin d1 expression in cells.Results.We observed an upregulation of lnc rna enst00000603829 and cyclin d1 expression in spa tissues and cells.Knockdown of lnc rna enst00000603829 inhibited cell invasion and proliferation, promoting apoptosis and retaining the cells during the g0/g1 phase.However, such effects of lnc rna enst00000603829 knockdown were inhibited when cyclin d1 was overexpressed.Conclusion.Lnc rna enst00000603829 can promote the occurrence and development of spa through increasing cyclin d1 expression.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Sedum sarmentosum Bunge Attenuates Drug-Induced Liver Injury via Nrf2 Signaling Pathway: An Experimental Verification Based on Network Pharmacology Prediction

Using network pharmacology and in vivo experiments, we investigated the antidrug-induced liver injury components and functional processes of sedum sarmentosum bunge (ssbe).Methods.The effective components, primary active ingredients, and possible target in the therapy of dili were predicted using network pharmacology and bioinformatics.Apap was inducing the dili model.In vivo testing of the pharmacodynamic foundation of ssbe in the treatment of dili was performed.Results.The tcmsp database evaluated five main active components and 299 related targets.In addition, 707 differential genes for dili were obtained from the dis ge net database, dig see database, and omim database.61 related targets were mapped to predict the targets of ssbe acting on dili.The protein-protein interaction (ppi) core network contained 59 proteins, including il-β, mark14, ssp1, and mmp9.These genes are closely related to the nrf2/are signaling pathway, and they may play a key role in the hepatoprotective effect of ssbe.Verification experiment results showed that, in the dili mouse model, ssbe promoted inflammation diminution and regulation of nrf2-are cascade.Ssbe protected normal hepatocyte growth and inhibited apoptosis of normal liver cells induced by apap.Ssbe inhibited the expression of nrf2 and are proteins in the liver tissue of the dili mouse model in vivo.Conclusion.By modulating the nrf2 signaling pathway, the active components in ssbe may protect against drug-induced liver damage.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;
IoT-Based Smart Health Monitoring System for COVID-19 Patients

During the ongoing covid-19 pandemic, internet of things- (io t-) based health monitoring systems are potentially immensely beneficial for covid-19 patients.This study presents an io t-based system that is a real-time health monitoring system utilizing the measured values of body temperature, pulse rate, and oxygen saturation of the patients, which are the most important measurements required for critical care.This system has a liquid crystal display (lcd) that shows the measured temperature, pulse rate, and oxygen saturation level and can be easily synchronized with a mobile application for instant access.The proposed io t-based method uses an arduino uno-based system, and it was tested and verified for five human test subjects.The results obtained from the system were promising: the data acquired from the system are stored very quickly.The results obtained from the system were found to be accurate when compared to other commercially available devices.Io t-based tools may potentially be valuable during the covid-19 pandemic for saving people’s lives.

Journal: Computational and Mathematical Methods in Medicine (2021)
Publication types: Research Article;