syedzayyan/paper_mill_benchmark huggingface dataset:
Machine-to-Machine Communication for Device Identification and Classification in Secure Telerobotics Surgery

The capacity of machine objects to communicate autonomously is seen as the future of the internet of things (io t), but machine-to-machine communication (m2m) is also gaining traction.In everyday life, security, transportation, industry, and healthcare all employ this paradigm.Smart devices have the ability to detect, handle, store, and analyze data, resulting in major network issues such as security and reliability.There are numerous vulnerabilities linked with io t devices, according to security experts.Prior to performing any activities, it is necessary to identify and classify the device.Device identification and classification in m2m for secure telerobotic surgery are presented in this study.Telerobotics is an important aspect of the telemedicine industry.The major purpose is to provide remote medical care, which eliminates the requirement for both doctors and patients to be in the same location.This paper aims to propose a security and energy-efficient protocol for telerobotic surgeries, which is the primary concern at present.For secure telerobotic surgery, the author presents an efficient device type detection and classification (eddc) protocol for device identification and classification in m2m communication.The periodic trust score is calculated using three factors from each sensor node.It demonstrates that the eddc protocol is more effective and secure in detecting and categorizing rogue devices.

Journal: Security and Communication Networks (2021)
Publication types: Research Article;
Machine Learning-Based Gynecologic Tumor Diagnosis and Its Postoperative Incisional Infection Influence Factor Analysis

Various factors influencing postoperative incisional infection in gynecologic tumors were analyzed, and the value of quality nursing intervention was studied.In this study, 74 surgically treated gynecologic tumor patients were randomly selected from within the hospital as the study population and were divided into study and control groups.For this purpose, the whole-group random sampling method is utilized to compare the postoperative incisional infection rates of the two groups, analyze their influencing factors, and develop quality nursing interventions.In this paper, a breast cancer diagnosis prediction model was developed by combining the self-attentive mechanism.The preprocessing work such as data quantification and normalization was performed first which is followed by adding the preprocessed data to the self-attentive mechanism.This model has solved the problem that recurrent neural networks (rnns) could not extract and calculate the features at the same time.Likewise, it has solved the drawback that the rnn could not consider global features at the same time when extracting the features, and then, the feature matrix extracted by the self-attentive mechanism was added to the adaptive neural network.The adaptive neural network model for breast cancer diagnosis prediction was constructed and, finally, relevant parameters of the adaptive neural network model were adjusted according to different tasks to make the model performance optimal.Experimental results showed that the postoperative incision infection rate of patients in the study group was 2.70%, which was significantly lower than that of 21.62% in the control group ( p &lt; 0.05 ).Likewise, operation time, operation method, hospitalization time, preoperative fever, diabetes mellitus, and anemia were the main influencing factors of postoperative incision infection in women with gynecologic tumors.The time of surgery, surgical method, long hospital stay, preoperative fever, diabetes, and anemia are the main factors that lead to postoperative incisional infection in female gynecologic tumor patients.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Clinical Study;
m6A RNA Methylation Regulators Contribute to Predict and as a Therapy Target of Pulmonary Fibrosis

Pulmonary fibrosis is difficult to treat.Early diagnosis and finding potential drug therapy targets of pulmonary fibrosis are particularly important.There were still various problems with existing pulmonary fibrosis markers, so it is particularly important to find new biomarkers and drug treatment targets.M6a (n6,2′-o-dimethyladenosine) rna methylation was the cause of many diseases, and it is regulated by m6a methylation regulators.So, whether rna methylation regulators can be a diagnostic marker and potential drug therapy target of early pulmonary fibrosis needs to be explored.Materials and methods.Using gse110147 and gse33566 in the geo database to predict the m6a methylation regulators that may be related to the development of pulmonary fibrosis, we used 10 mg/ml bleomycin to induce mouse pulmonary fibrosis models and human pulmonary fibrosis samples, to confirm whether this indicator can be an early diagnostic marker of pulmonary fibrosis.Results.According to the database prediction results, mettl3 can predict the occurrence and development of pulmonary fibrosis, and the results of masson and he staining show that the fibrosis model of mice is successful, and the fibrosis of human samples is obvious.The results of immunohistochemistry showed that the expression of mettl3 was significantly reduced in pulmonary fibrosis.Conclusions.The m6a methylation regulator mettl3 can be considered as an important biomarker for diagnosing pulmonary fibrosis occurrence, furthermore it could be considered as a drug target because of its low expression in pulmonary fibrosis.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Lung Cancer Stage Prediction Using Multi-Omics Data

Lung cancer is one of the leading causes of cancer death.Patients with early-stage lung cancer can be treated by surgery, while patients in the middle and late stages need chemotherapy or radiotherapy.Therefore, accurate staging of lung cancer is crucial for doctors to formulate accurate treatment plans for patients.In this paper, the random forest algorithm is used as the lung cancer stage prediction model, and the accuracy of lung cancer stage prediction is discussed in the microbiome, transcriptome, microbe, and transcriptome fusion groups, and the accuracy of the model is measured by indicators such as acc, recall, and precision.The results showed that the prediction accuracy of microbial combinatorial transcriptome fusion analysis was the highest, reaching 0.809.The study reveals the role of multimodal data and fusion algorithm in accurately diagnosing lung cancer stage, which could aid doctors in clinics.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Long Noncoding RNA LINC00473 Ameliorates Depression-Like Behaviors in Female Mice by Acting as a Molecular Sponge to Regulate miR-497-5p/BDNF Axis

Depression was a common life-threatening psychiatric disorder and occurs more frequently in women than in men.Long noncoding rnas (lnc rnas), such as linc00473, had been reported to be involved in the progression of depression.Methods.Chronic unpredictable moderate stress in mice (cums) was applied to construct a depression model.Subsequently, rt-q pcr was applied to check the level of linc00473 and micro rna-497-5p (mi r-497-5p) in the hippocampal region of the mice induced by cums.Cums mice were injected with lentiviral vectors of linc00473 (lv-linc00473), mi r-497-5p inhibitor, short hairpin- (sh-) brain-derived neurotrophic factor (sh-bdnf), or mi r-497-5p mimic to evaluate depressive behaviors, including sucrose preference test, forced swim test, elevated plus maze, and tail suspension test.Moreover, the production of hypothalamic neurotransmitters was assessed with the usage of elisa kits.Dual-luciferase reporter assay, rna pull-down, and rip analysis were performed to measure the relationship between mi r-497-5p and linc00473 or bdnf.Further, western blot was employed to determine the protein level of bdnf.Results.We discovered that linc00473 level was downregulated in the female mice with depression, but not in male mice.Besides, the depressive behaviors induced by cums in mice, including the decrease of sucrose preference and time in open arm, as well as the increase of immobility time and swimming resting time were all ameliorated by linc00473 overexpression.Moreover, the concentration of neurotransmitters was decreased in cums-induced mouse hypothalamus, which was blocked by lv-linc00473 lentiviral vector administration.Mechanistically, linc00473 directly targeted mi r-497-5p.Absence of mi r-497-5p revealed the antidepression effects on cums-induced mice, and mi r-497-5p upregulation could counter the antidepressive impacts of linc00473 upregulation on cums-induced mice.Furthermore, linc00473 could target mi r-497-5p to modulate bdnf level.Knockdown of bdnf could abrogate the improving influences of mi r-497-5p suppression on cums-induced depression.Conclusions.Linc00473 ameliorated cums-caused depression by encouraging bdnf expression via binding to mi r-497-5p, which might provide a potential therapeutic target for depression in females.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
lncRNA HOTAIR Inhibition by Regulating HMGB1/ROS/NF-κB Signal Pathway Promotes the Recovery of Spinal Cord Function

Spinal cord ischemia-reperfusion injury (scii) is one of the most serious complications of clinical aortic aneurysm and vascular malformation surgery.Long noncoding rna (lnc rna) is involved in the progression of scii, whereas long noncoding rna hox transcript antisense rna (lnc rna hotair) is unclear in scii.This study is aimed at confirming the role and related mechanism of hotair in scii.Later on, a model of scii was established by clamping the aortic arch for 14 minutes.Rna expression of hotair was detected via q rt-pcr at 12 h, 24 h, 36 h, and 48 h after scii.The tarlov scoring system and tunel assay were used to evaluate neurological function and neuronal apoptosis.Oxidative stress factor levels were assessed according to the instructions of the kit.Inflammatory cytokines were assessed by elisa.Western blot was used to detect levels of p65, p-p65, i-κbα, and p-i-κbα.We found hotair was raised in scii rats.Si-hotair was able to reverse scii-induced oxidative stress in scii rats.The hmgb1 expression was upregulated in scii tissues and negatively correlated with hotair.Hmgb1 was able to partially reverse si-hotair inhibition of oxidative stress, inflammatory injury, and neuronal cell apoptosis in scii.In addition, the ros/nf-κb signaling pathway is involved in hotair/hmgb1 regulation of scii.In a word, hotair inhibition is able to inhibit oxidative stress, inflammatory injury, and neuronal apoptosis in scii through downregulation of the high mobility group protein b1(hmgb1), which is achieved by inhibiting the ros/nf-κb signaling pathway.The hotair/hmgb1/ros/nf-κb molecular pathway may be a new mechanism for the treatment of scii.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
lncENST Suppress the Warburg Effect Regulating the Tumor Progress by the Nkx2-5/ErbB2 Axis in Hepatocellular Carcinoma

The therapeutic efficacy of radiofrequency ablation (rfa) against liver cancer is often limited by proliferation and metastasis of residual tumor cells.These phenomena are closely associated with the warburg effect, wherein erb b2 is activated.While rfa inhibits the warburg effect of residual tumor cells at the early stage, the specific mechanisms remain unclear.We explored the regulatory relationship between the long noncoding rna enst00000570843.1 (lnc enst) and erb b2 using lentiviral transfection of lnc enst and erb b2 overexpression/interference vectors in in vitro and in vivo models of hepatocellular carcinoma in the presence of sublethal heat at 50°c.Erb b2-mediated warburg effect was suppressed by lnc enst, as manifested by reduced glucose uptake and lactic acid production in smmc-7721 cells.Lnc enst also increased tumor apoptosis and inhibited tumor progression in nude balb/c mice for up to 28 days after rfa.Additionally, we predicted through bioinformatic analysis that the promoter of erb b2 binds to the transcription factor nkx2-5, resulting in a negative regulatory effect.This speculation was confirmed by chromatin immunoprecipitation of the nkx2-5 protein and erb b2, indicating that erb b2 transcription was curbed by nkx2-5.We propose that lnc enst downplays the warburg effect in residual tumor cells by downregulating erb b2 via nkx2-5 activation.This study is aimed at providing molecular targets that can prevent residual tumor cell proliferation after rfa, with clinical significance in hepatocellular carcinoma treatment.

Journal: Computational and Mathematical Methods in Medicine (2021)
Publication types: Research Article;
LDH and GGT/ALT Ratio as Novel Prognostic Biomarkers in Hepatocellular Carcinoma Patients after Liver Transplantation

Liver inflammation indices reflect its inflammatory microenvironment, which may play a role in the proliferation, invasion, and migration of carcinoma.This study is aimed at exploring the prognostic significance of serum lactate dehydrogenase (ldh) levels and gamma-glutamyl transferase (ggt)/alanine aminotransferase (alt) ratio in hepatocellular carcinoma after liver transplant (lt).Methods.We retrospectively analyzed data from 155 patients with a pathologically confirmed diagnosis of hepatocellular carcinoma who received lt between january 2013 and september 2017.We used receiver operating characteristics (roc) curves to determine the optimal ldh and ggt/alt ratio cut-off values.The kaplan–meier method and the logarithmic rank test were used to compare the survival curves without recurrence (rfs) and overall survival (os).Univariate and multivariate analyses were used to identify factors associated with survival.Results.Serum ldh levels were significantly associated with the child-pugh score ( p = 0.037 ), largest tumor size (&lt;50 vs.≥50 mm) ( p = 0.017 ), tumor count (&lt;3 vs.≥3) ( p = 0.009 ), microvascular invasion ( p = 0.006 ), and the milan criteria ( p ≤ 0.001 ).The serum ggt/alt ratio was significantly correlated with alpha-fetoprotein (afp) levels (of &lt;400 vs.≥400 ng/ml) ( p ≤ 0.001 ), largest tumor size (of &lt;50 vs.≥50 mm) ( p ≤ 0.001 ), the edmondson grade (i-ii vs.Iii-iv) ( p = 0.028 ), microvascular invasion ( p ≤ 0.001 ), and the milan ( p = 0.002 ) and hangzhou criteria ( p = 0.018 ).The survival curves showed that the patients with high ldh and the ggt/alt ratio were associated with poor rfs and os ( p &lt; 0.05 ).Univariate and multivariate analyses showed that afp levels of ≥400 ng/ml, largest tumor size of ≥50 mm, microvascular invasion, ldh levels of ≥213.5 u/l, and the ggt/alt ratio of ≥3.1338 were factors independently associated with rfs.Conclusion.Elevated ldh levels and the ggt/alt ratio before lt were associated with poor os and rfs in the present study.These factors could be used in the prognostication of patients with hepatocellular carcinoma undergoing lt.

Journal: Computational and Mathematical Methods in Medicine (2021)
Publication types: Research Article;
Kukoamine A Improves Mycoplasma pneumoniae Pneumonia by Regulating miR-222-3p/Superoxide Dismutase 2

Mycoplasma pneumoniae pneumonia (mpp) represents a common respiratory disease in children patients.Kukoamine a (ku a) is a spermine alkaloid found in the chinese herb cortex lycii radices , which has a variety of pharmacological properties.However, no study has been reported on the role of ku a in mpp.Exosomes, a type of lipid bilayer‐enclosed extracellular vesicles, can be delivered to the target cells, where they regulate function and physiology.With the use of human alveolar basal epithelial cells (habecs) as an in vitro model, in this study, we sought to characterize the changes in levels of superoxide dismutase 2 (sod2) and proinflammatory cytokines including il‐6 and tnf‐ α in habecs in response to exosomes, which were isolated from peripheral blood serum of mpp patients.We found that, compared to normal, mpp patients exhibited a significant up‐regulated mi r‐222‐3p.Further, exosomal mi r‐222‐3p downregulated sod2 activity but promoted nuclear nf‐ κ b activity and expression of il‐6 and tnf‐ α in habecs, ultimately leading to an oxidative stress condition.Interestingly, such stimulating effects were attenuated by the pretreatment of ku a.This study suggests a critical role possessed by ku a in mpp by regulating the mi r‐222‐3p/sod2 axis, which represents a promising strategy for the treatment of mpp.

Journal: BioMed Research International (2022)
Publication types: Research Article;
Jordanian Patients’ Family Members Need Perceptions in the Critical Care Settings: Nurses’ Perspectives versus Family Members’ Perspectives in the Context of Health Informatics

An unexpected hospitalization in any of the critical care units (ccus) is a stressful condition, not only for patients but also for other family members.Research in this field in jordan is not available.The main objective of this study was to identify the most important needs as perceived by these family members in the light of this stressful event and compare them with the nurses’ perceptions of the importance of these needs and also to determine the perception of the needs’ importance with the sociodemographic characteristics of both family members and caring nurses.Methods.This was a cross-sectional study conducted in the period between february and august 2020 among adult family members of patients admitted to the ccus in hospitals of jordan from all sectors (public, private, and teaching).The “critical care family needs inventory (ccfni)” questionnaire was administered to 82 family members and 99 ccu nurses to determine the importance of the needs on the inventory.The data were analyzed using descriptive statistics.Results.The most important need identified by the family members was relevant to the need for proximity (3.64 ± 0.45), followed by information (3.57 ± 0.58), assurance (3.44 ± 0.43), support (3.31 ± 0.62), and comfort (3.21 ± 0.56).Nurses identified the needs for assurance as the highest, followed by information, comfort, and support, whereas proximity was the least need perceived as very important.The top 10 important needs for both family members and nurses were identified.Family members and nurses were only common in 2 of the need statements on the scale.There was no significant association between the sociodemographic characteristics of the sample and the perception of the needs’ importance ( p = 0.05 ).Conclusion.This study has shown that nurses and family members of patients admitted to ccus have different perspectives relevant to needs’ importance.This should warn nurses to set the needs viewed by family members as a priority.Implications.In the ccu settings, in the context of advancing health informatics, families of patients in the icus have different needs other than those viewed by nurses.Their needs must be identified and considered.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;
Joint Deep-Learning-Enabled Impact of Holistic Care on Line Coagulation in Hemodialysis

In order to investigate the impact of holistic care on line coagulation and safety in hemodialysis and to address limitations of the conventional ultrasound flow vector imaging (vfm) technique, which requires proprietary software to acquire raw doppler and scatter tracking data, a combined deep-learning-enabled holistic care approach to line coagulation in hemodialysis is proposed.First, velocity along the direction of the sound beam, which is provided by the color doppler echocardiogram, is obtained as the radial velocity component using a velocity scale.Moreover, the left ventricular wall contour is automatically identified using a u-net network and the left ventricular wall velocity is calculated as the boundary condition of continuity equation by a retrained pwc-net model.Likewise, the velocity component of each blood mass in the vertical direction of the sound beam is obtained by solving the continuity equation (i.e.Tangential velocity component).Finally, the velocity vector map of cardiac flow field was synthesized and visualized in the flow diagram.For this purpose, sixty patients admitted to receive hemodialysis from february 2019 to june 2020 were randomly divided into two groups of 30 patients where the control group implemented conventional care and the study group implemented all-round care on the basis of conventional care.The nursing effects of both groups were compared.Incidence of pipeline coagulation and complications in the study group were lower than those in the control group and the difference was statistically significant ( p &lt; 0.05 ).The nursing detail score, nursing attitude score, nursing professionalism score, and total satisfaction score in the study group were higher than those in the control group and the difference was statistically significant ( p &lt; 0.05 ).Applying all-round nursing in hemodialysis can effectively reduce the incidence of line coagulation complications and improve the safety of hemodialysis, as well as improve patients’ satisfaction with nursing care.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Clinical Study;
Joint Decision Making of Replenishment, Pricing, and Fresh Keeping Input in Fruit and Vegetable Cold Chain: Based on Markov Process

Markov dynamic programming was used to analyze the effect of quality loss on the profit of the cold chain when the retailer’s demand was affected by random factors and the product can be put into appearance fresh-keeping, taking the retailer in the fruit and vegetable cold chain as the research object and aiming at maximizing the retailer’s profit in the unlimited sales period.It was found that the model can control the system profit fluctuation within the expected range by adjusting the relevant strategies when the initial inventory was fluctuated by random demand factors.The optimal strategies of replenishment, pricing, and preservation investment are closely related to the initial inventory.Sensitivity analysis shows that the optimal strategy and profit fluctuation range are closely related to the quality characteristics of quality loss and quantity loss.When the quality loss increases, retailers should reduce the amount of a single replenishment, invest in appearance preservation ahead of time, and raise prices.When the quantity loss increases, the retailer should reduce the quantity of a single replenishment.

Journal: Mobile Information Systems (2022)
Publication types: Research Article;