syedzayyan/paper_mill_benchmark huggingface dataset:
SmartMedChain: A Blockchain-Based Privacy-Preserving Smart Healthcare Framework

Nowadays, the adoption of internet of things (io t) technology worldwide is accelerating the digital transformation of healthcare industry.In this context, smart healthcare (s-healthcare) solutions are ensuring better and innovative opportunities for healthcare providers to improve patients’ care.However, these solutions raise also new challenges in terms of security and privacy due to the diversity of stakeholders, the centralized data management, and the resulting lack of trustworthiness, accountability, and control.In this paper, we propose an end-to-end blockchain-based and privacy-preserving framework called smart med chain for data sharing in s-healthcare environment.The blockchain is built on hyperledger fabric and stores encrypted health data by using the inter planetary file system (ipfs), a distributed data storage solution with high resiliency and scalability.Indeed, compared to other propositions and based on the concept of smart contracts, our solution combines both data access control and data usage auditing measures for both medical io t data and electronic health records (ehrs) generated by s-healthcare services.In addition, s-healthcare stakeholders can be held accountable by introducing an innovative privacy agreement management scheme that monitors the execution of the service in respect of patient preferences and in accordance with relevant privacy laws.Security analysis and experimental results show that the proposed smart med chain is feasible and efficient for s-healthcare environments.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;
Single-Cell Sequencing Revealed Pivotal Genes Related to Prognosis of Myocardial Infarction Patients

S.Myocardial infarction (mi) is a common cardiovascular disease.Histopathology is a main molecular characteristic of mi, but often, differences between various cell subsets have been neglected.Under this premise, mi-related molecular biomarkers were screened using single-cell sequencing.Methods.This work examined immune cell abundance in normal and mi samples from gse109048 and determined differences in the activated mast cells and activated cd4 memory t cells, resting mast cells.Weighted gene coexpression network analysis (wgcna) demonstrated that activated cd4 memory t cells were the most closely related to the turquoise module, and 10 hub genes were screened.Single-cell sequencing data (sc rna-seq) of mi were examined.We used t -distributed stochastic neighbor embedding ( t -sne) for cell clustering.Results.We obtained 8 cell subpopulations, each of which had different marker genes.7 out of the 10 hub genes were detected by single-cell sequencing analysis.The expression quantity and proportion of the 7 genes were different in 8 cell clusters.Conclusion.In general, our study revealed the immune characteristics and determined 7 prognostic markers for mi at the single-cell level, providing a new understanding of the molecular characteristics and mechanism of mi.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Simultaneous Determination of the Five Constituents in Maiwei Dihuang Pills by the HPLC-DAD Method

The purpose of study is to establish an hplc-dad method for determination of the five constituents (deoxyschizandrin, γ-schizandrin, loganin, paeoniflorin, and paeonol) in maiwei dihuang pills.Methods.An agilent zorbax sb-c18 chromatographic column was carried out to determine the five constituents of 50% methanol extract of maiwei dihuang pills.Results.It was found the chromatographic peak resolution of each component in the study sample solution was 1.5 higher than that of other peaks and no peaks appeared in the blank control solution during the same time, suggesting specificity of hplc-dad was well established.The linearity test indicated that deoxyschizandrin, γ-schizandrin, loganin, paeoniflorin, and paeonol were 11.6–72.3 μg/m l, 6.4–45.2 μg/m l, 35.2–237.6 μg/m l, 18.1–114.2 μg/m l, and 32.2–215.3 μg/m l, respectively, suggesting each component has a good linear relationship within its own range.Additionally, the precision of hplc-dad was confirmed by a precision test; the stability of the study sample solution was confirmed by a stability test; and good reproducibility of hplc-dad was proved by a reproducible test.The recovery rate test showed that relative standard deviation (rsd) of recovery rate in deoxyschizandrin, γ-schizandrin, loganin, paeoniflorin, and paeonol was 100.26% (1.80%), 101.39% (1.74%), 101.19% (1.76%), 102.50% (1.65%), and 102.30% (1.58%), respectively.Conclusions.Hplc-dad used to determine the five constituents in maiwei dihuang pills, and it was easier and faster to operate, showing good condition in repeatability, precision, stability, and recovery, which is a great option for quality control.

Journal: Evidence-Based Complementary and Alternative Medicine (2021)
Publication types: Research Article;
Sex Differences in the Relationship between Abdominal Obesity and Cardiovascular Death in Elderly Patients with Permanent Pacemakers Implantation: A Retrospective Cohort Study

S .This study aims to investigate the association between waist circumference (wc) and cardiovascular death in patients with permanent pacemakers (ppms).Methods .This is a retrospective cohort study that enrolled patients who underwent ppm implantation in fuwai hospital from may 2010 to april 2014, according to the biotronik home monitoring database.The wc was treated as sex‐specific quartiles, and patients were divided into three groups according to body mass index (bmi): normal (≤22.9 kg/m 2 ), overweight (23–24.9 kg/m 2 ), and obese (≥25 kg/m 2 ).Cox proportional hazards models were used to calculate hazard ratios and 95% confidence intervals for cardiovascular death according to wc and bmi in patients.Results .492 patients with ppms implantation were analyzed (mean age: 71.9 ± 10.8 years; 55.1% men ( n = 271)).Data showed that after a mean follow‐up 67.2 ± 17.5 months, 24 (4.9%) patients had experienced cardiovascular death and 71 (14.4%) were cases of all‐cause mortality.Men in the third quartile of wc had an hr of 10.67 (model 4, 95% ci: 1.00–115.21, p trend = 0.04) for cardiovascular death.However, the association disappeared in female patients (model 4, hr = 3.99, 95% ci: 0.37–42.87, p trend = 0.25).There was no association between bmi and cardiovascular death or all‐cause mortality in both male and female patients.Conclusions .Abdominal obesity was associated with an increased risk of cardiovascular death in patients with ppms, and this relationship was only in male patients.

Journal: Evidence-Based Complementary and Alternative Medicine (2023)
Publication types: Review Article;
Serum sTREM-1 and CXCL-16 Levels in Children with Mycoplasma pneumoniae Pneumonia and Their Diagnostic Value

Mycoplasma pneumoniae pneumonia (mpp) is an acute respiratory tract infection caused by mycoplasma pneumoniae.It is characterized by severe symptoms, long course of disease, many intrapulmonary complications, and poor therapeutic effect.In recent years, the incidence of mycoplasma infection have been gradually rising trend, and the children’s own immune system development is not mature, cases differences, children with mild can only show the upper respiratory tract infection, and critically ill children can lead to lung infection and even lead to multiple organ dysfunction, affect life and health of children.Soluble triggering receptors expressed on myeloid cell-1 (s trem-1) is a subtype secreted by myeloid cell trigger receptor-1, which is released into blood in large amounts when the body is infected, and is a newly discovered inflammatory indicator in recent years.Cxc chemokine 16 (cxcl-16) can recruit lymphocytes by chemotaxis through binding to its receptor cxcr6 to participate in the body’s immune regulation.The purpose of this study was to investigate serum s trem-1 and cxcl-16 levels in children with mpp and to analyze their correlation with the disease and diagnostic value.The results showed that the serum levels of s trem-1 and cxcl-16 were increased in children with mycoplasma.Serum levels of s trem-1 and cxcl-16 were positively correlated with the severity of the disease.S trem-1 combined with cxcl-16 has an important value in the diagnosis of children with mpp.

Journal: Evidence-Based Complementary and Alternative Medicine (2021)
Publication types: Research Article;
SERPINE1 Gene Is a Reliable Molecular Marker for the Early Diagnosis of Aortic Dissection

With the acceleration of population aging, the detection rate of aortic dissection has increased.The incidence rate of aortic dissection has increased year by year and has become a serious threat to human health.However, the current clinical treatment of aortic dissection is mainly limited to surgery (including intracavity), but the complexity of the disease and the high risk of surgery seriously affect the overall treatment effect of the disease.Therefore, an in-depth study of the pathogenesis of aortic dissection and the development of early diagnosis methods is not only expected to control the development of aortic dissection but also to improve the existing clinical treatment effect.Based on the bioinformatics analysis of the related m rna sequence data of aortic dissection in geo database, the gene expression regulatory network of aortic dissection was constructed.Through the screening of key node genes, the key factors (molecular markers) that may affect the occurrence of aortic dissection were obtained, and their functions were tested in human aortic smooth muscle cells (hao smc).Finally, it was concluded that serpine1 gene is a reliable molecular marker for the early diagnosis of aortic dissection.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Role of GLI1 in Hypoxia-Driven Endometrial Stromal Cell Migration and Invasion in Endometriosis

Endometriosis (ems) is a benign disease with the characteristics of invasion and migration, and its pathogenesis is related to hypoxia.The abnormal activation of glioma-associated oncogene homolog 1 (gli1) plays an important role in the metastasis of multiple types of tumors.However, it is not clear whether gli1 regulates the migration and invasion of endometrial stromal cells under hypoxic condition.Therefore, we use comprehensive analysis to explore the effects of hypoxic on gli1 expression and their regulation on the pathogenesis of ems.In this study, from immunohistochemistry, rt-q pcr, and western blot analysis, we discovered that the expression of hypoxia-induced factor-1α (hif-1α) and gli1 was significantly increased in eutopic and ectopic endometrium of patients with ems.In human primary eutopic endometrial stromal cells (escs), hypoxia can increase the expression of hif-1α and gli1 in a time-dependent manner.And hypoxia could promote gli1 expression in a hif-1α-dependent manner.Moreover, data from transwell assays manifested that the migration and invasion ability of escs was significantly enhanced under hypoxia, and this effect could be reversed by silencing gli1.Furthermore, the expression of mmp2 and mmp9 was also increased under hypoxia, while silencing gli1 could reverse this event.In summary, our research verified that gli1, which activated by hypoxia, may contribute to the migration and invasion of escs through the upregulation of mmp2 and mmp9 and can be a novel therapeutic target in ems.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Robust LQR-Based Neural-Fuzzy Tracking Control for a Lower Limb Exoskeleton System with Parametric Uncertainties and External Disturbances

The design of an accurate control scheme for a lower limb exoskeleton system has few challenges due to the uncertain dynamics and the unintended subject’s reflexes during gait rehabilitation.In this work, a robust linear quadratic regulator- (lqr-) based neural-fuzzy (nf) control scheme is proposed to address the effect of payload uncertainties and external disturbances during passive-assist gait training.Initially, the euler-lagrange principle-based nonlinear dynamic relations are established for the coupled system.The input-output feedback linearization approach is used to transform the nonlinear relations into a linearized state-space form.The architecture of the adaptive neuro-fuzzy inference system (anfis) and used membership function are briefly explained.While varying mass parameters up to 20%, three robust neural-fuzzy datasets are formulated offline with the joint error vector and lqr control input.Thereafter, to deal with external interferences, an error dynamics with a disturbance estimator is presented using an online adaptation of the firing strength matrix.The lyapunov theory is carried out to ensure the asymptotic stability of the coupled human-exoskeleton system in view of the proposed controller.The gait tracking results for the proposed control scheme (rlqr-nf) are presented and compared with the exponential reaching law-based sliding mode (erl-sm) controller.Furthermore, to investigate the robustness of the proposed control over lqr control, a comparative performance analysis is presented for two cases of parametric uncertainties and external disturbances.The first case considers the 20% raise in mass values with a trigonometric form of disturbances, and the second case includes the effect of the 30% increment in mass values with a random form of disturbances.The simulation runs have shown the promising gait tracking aspects of the designed controller for passive-assist gait training.

Journal: Applied Bionics and Biomechanics (2021)
Publication types: Research Article;
Review on Epileptic Seizure Prediction: Machine Learning and Deep Learning Approaches

Epileptic seizures occur due to brain abnormalities that can indirectly affect patient’s health.It occurs abruptly without any symptoms and thus increases the mortality rate of humans.Almost 1% of world’s population suffers from epileptic seizures.Prediction of seizures before the beginning of onset is beneficial for preventing seizures by medication.Nowadays, modern computational tools, machine learning, and deep learning methods have been used to predict seizures using eeg.However, eeg signals may get corrupted with background noise, and artifacts such as eye blinks and physical movements of muscles may lead to “pops” in the signal, resulting in electrical interference, which is cumbersome to detect through visual inspection for longer duration recordings.These limitations in automatic detection of interictal spikes and epileptic seizures are preferred, which is an essential tool for examining and scrutinizing the eeg recording more precisely.These restrictions bring our attention to present a review of automated schemes that will help neurologists categorize epileptic and nonepileptic signals.While preparing this review paper, it is observed that feature selection and classification are the main challenges in epilepsy prediction algorithms.This paper presents various techniques depending on various features and classifiers over the last few years.The methods presented will give a detailed understanding and ideas about seizure prediction and future research directions.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Review Article;
Restoration Algorithm-Based Ultrasound Image in Evaluating the Effect of Dexmedetomidine on Patients with Neurological Disorder Anesthetized by Sevoflurane

The study focused on the application value of ultrasound images processed by restoration algorithm in evaluating the effect of dexmedetomidine in preventing neurological disorder in patients undergoing sevoflurane anesthesia.90 patients undergoing tonsillectomy anesthesia were randomly divided into normal saline group, propofol group, and dexmedetomidine group.The ultrasound images were processed by restoration algorithm, and during the postoperative recovery period, ultrasound images were used to evaluate.The results showed that the original ultrasonic image was fuzzy and contained interference noise, and that the image optimized by restoration algorithm was clear, without excess noise, and the image quality was significantly improved.In the dexmedetomidine group, the extubation time was 10.6 ± 2.3 minutes, the recovery time was 8.4 ± 2.2 minutes, the average pain score during the recovery period was 2.6 ± 0.7 , and the average agitation score was 7.2 ± 2.4 .Of 30 patients, there were 13 cases with vertigo and 1 case with nausea and vomiting.The vascular ultrasound imaging showed that, in the dexmedetomidine group, the peak systolic velocities (psv) of the bilateral vertebral arteries during the recovery period were 67.7 ± 14.3 and 67.9 ± 15.2 cm / s , respectively; the end-diastolic velocities (edv) of the bilateral vertebral arteries were 27.8 ± 6.7 and 24.69 ± 5.9 cm / s , respectively; the psv in bilateral internal carotid artery systolic peak velocities were 67.2 ± 13.9 and 67.8 ± 12.7 cm / s , respectively; the edv in bilateral internal carotid arteries were 27.7 ± 5.3 and 26.9 ± 4.9 cm / s , respectively; bilateral vertebral artery resistance indexes (ris) were 0.6 ± 0.02 and 0.71 ± 0.08 , respectively; the bilateral internal carotid artery ris were 0.57 ± 0.04 and 0.58 ± 0.06 , respectively, all better than the normal saline group ( 12.1 ± 2.5 minutes, 10.1 ± 2.3 minutes, 3.9 ± 0.6 , 10.6 ± 3.7 , 15 cases, 11 cases, 81.5 ± 13.6 , 80.7 ± 11.6 cm / s , 29.3 ± 6.8 , 28.9 ± 6.7 cm / s , 74.3 ± 10.2 , 73.9 ± 12.5 cm / s , 29.1 ± 4.3 , 29 ± 4.5 cm / s , 0.84 ± 0.06 , 0.83 ± 0.05 , 0.8 ± 0.04 , and 0.81 ± 0.05 ) and the propofol group ( 11.4 ± 2.1 minutes, 9.0 ± 2.1 minutes, 3.4 ± 0.8 , 8.5 ± 2.3 , 12 cases, 9 cases, 72.5 ± 12.9 , 73.4 ± 11.8 cm / s , 28.6 ± 5.4 , 26.5 ± 5.1 cm / s , 72.1 ± 11.4 , 73.5 ± 10.6 cm / s , 28.8 ± 5.6 , 27.3 ± 4.7 cm / s , 0.78 ± 0.07 , 0.82 ± 0.06 , 0.76 ± 0.03 , and 0.78 ± 0.05 ), and the differences were statistically significant ( p &lt; 0.05 ).In conclusion, ultrasound images processed by restoration algorithm have high image quality and high resolution.The dexmedetomidine can prevent neurological disorder in patients with sevoflurane anesthesia and is suggested in postoperative rehabilitation.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Clinical Study;
Repetitive Transcranial Magnetic Stimulation Improves Neuropathy and Oxidative Stress Levels in Rats with Experimental Cerebral Infarction through the Nrf2 Signaling Pathway

Ischemic stroke poses a serious threat to human health.Its high morbidity, disability, and lethality rates have led to it being a research hotspot.Cerebral ischemia reperfusion injury is a difficult point in the treatment of ischemic stroke.In recent years, studies have shown that repeated transcranial magnetic stimulation (r tms) can enhance cerebral ischemic tolerance and have a significant protective effect on reperfusion injury after ischemia, but its specific mechanism is unknown.The nrf2/pathway plays a vital role in ischemia-reperfusion injury in the body environment.Therefore, in this experiment, the middle cerebral artery occlusion (mcao) reperfusion model of sd rats was made to simulate the occurrence of experimental cerebral infarction by the suture method.After treatment with r tms, it was studied whether it can regulate the expression of nrf2 and ho-1, affect the content of mda and sod activity, and then activate the nrf2 pathway to exert its brain protection.The results showed that after mcao reperfusion, the neurological deficit score of rats increased, and the time to remove the bilateral stickers and the time to cross the balance beam increased, suggesting the successful establishment of the experimental cerebral infarction model.Detecting the brain tissue of experimental cerebral infarction rats found that the expression of nrf2 and ho-1 decreased, the content of mda increased, and the activity of sod decreased.After r tms treatment, the neuromotor function of experimental cerebral infarction rats improved, the expression of nrf2 and ho-1 in the brain tissue gradually increased, the content of mda decreased, and the activity of sod increased.It indicates that the expression of nrf2 and ho-1 in experimental cerebral infarction rats is reduced.After treatment with r tms, it can improve the neuromotor function damage of the rats and reduce the level of oxidative stress.The mechanism may be through promoting the activation of the nrf2 signaling pathway, acting on the expression of antioxidant proteins, such as ho-1 and sod1, reducing oxidative stress damage, and playing a protective effect on brain tissue.

Journal: Evidence-Based Complementary and Alternative Medicine (2021)
Publication types: Research Article;
Relationship between the Degree of Illness in Elderly Patients with Rheumatoid Arthritis and Parameters of Musculoskeletal Ultrasound and Oswestry Dysfunction Index and Clinical Value Analysis

The aim of the study is to explore the relationship between the degree of illness in elderly patients with rheumatoid arthritis (ra) and parameters of musculoskeletal ultrasound (msus) and oswestry dysfunction index (odi) and its clinical value.Methods.The clinical data of 100 elderly patients with ra admitted to our hospital from may 2016 to may 2022 were retrospectively analyzed.The patients were divided into four groups, including the remission group (das28 ≤ 2.6, n = 25), low activity group (2.6 ≤ das28 ≤ 3.2, n = 25), middle activity group (3.2 ≤ das28 ≤ 5.1, n = 25), and high activity group (das &gt; 5.1, n = 25) according to the disease activity score-28 (das28).All patients underwent ultrasonic detection to compare the relationship between the degree of illness in elderly patients with ra and parameters of msus and odi.Results.The total semiquantitative score of msus and odi score in the remission group were obviously lower than those in the other three groups ( p &lt; 0.001 ).The degree of illness in elderly patients with ra was positively correlated with parameters of msus (r = 0.886, p &lt; 0.001 ).The degree of illness in elderly patients with ra was positively correlated with odi (r = 0.907, p &lt; 0.001 ).Conclusion.The degree of illness in elderly patients with ra is closely related to parameters of msus and odi, and the parameters of msus have a higher evaluation value for the degree of illness in elderly patients with ra, which are correlated with odi.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;