syedzayyan/paper_mill_benchmark huggingface dataset:
Network Security Technology of Supply Chain Management Based on Internet of Things and Big Data

In order to improve the network security of supply chain management based on the internet of things and big data, this paper studies the internet of things and big data technology and analyzes the data processing process of the internet of things.On the premise that the terminal device meets the requirements of delay and energy consumption, a data offloading encryption model is established to offload data to multiple edge servers for encryption.In addition, this paper proposes an optimization problem including overall security, delay, and equipment energy consumption and establishes a mathematical model that maximizes overall security under the condition of satisfying the requirements of delay and equipment energy consumption.From the simulation data, it can be seen that the network security technology of supply chain management based on the internet of things and big data proposed in this paper can achieve effective management and control of supply chain nodes and improve their information security.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Network Pharmacology-Based Strategy to Investigate the Mechanisms of Lenvatinib in the Treatment of Hepatocellular Carcinoma

Hepatocellular carcinoma (hcc) is a complex and refractory malignant tumor, ranking the third cause of cancer-related deaths worldwide.Lenvatinib is currently employed to treat advanced, unresectable hcc as a first-line drug.The purpose of this study was to explore the pharmacological mechanisms of lenvatinib acting on hcc through the analysis of differential expressed genes based on network pharmacology.The target genes of lenvatinib were collected from pub chem, swiss target prediction, pharm mapper, and batman-tcm online public databases.In addition, related gene targets for hcc were obtained using ncbi gene expression omnibus (ncbi-geo) database.Afterward, the protein-protein interaction (ppi) network was established to visualize and understand the interaction relationships of overlapping gene targets from both lenvatinib and hcc.Furthermore, according to the data obtained, gene ontology (go) analysis indicated that these intersectant genes were mainly enriched in response to xenobiotic stimulus, gland development, ion channel complex, membrane raft, and steroid binding.Besides, kyoto encyclopedia of genes and genomes (kegg) pathway enrichment analysis suggested that the therapeutic effects of lenvatinib on hcc probably involved bile secretion, mapk signaling pathway, c gmp-pkg signaling pathway, pi3k-akt signaling pathway, and ras signaling pathway.Moreover, a total of six key differential genes, namely, alb, ccnd1, esr1, ar, ccna2, and aurka, were identified as most significant targets associated with lenvatinib treating hcc and further verified by molecular docking, which demonstrated that lenvatinib had a strong binding efficiency with these six key gene-encoded proteins.Taken together, this study systematically provided new insights for researchers to determine the intervention mechanisms of lenvatinib in hcc therapy.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Nestin Regulates Keap1-Nrf2-HO-1-Mediated Antioxidant Responses during Stress and Malignant Hematopoiesis

To investigate the role of nestin in regulating keap1‐nuclear factor erythroid‐2‐related factor 2 (nrf2)‐heme oxygenase‐1‐(ho‐1‐) mediated antioxidant responses in stress and malignant hematopoiesis.Methods .The m rna of peripheral blood mononuclear cells was extracted from 20 leukemia patients and 20 healthy people who were hospitalized in the hematology department of our hospital from september 2020 to december 2021, and the m rna levels of nestin, keap1, nrf2, and ho‐1 were detected by real‐time‐ (rt‐) pcr.Results .Compared with healthy controls, the m rna of nestin, keap1, nrf2, and ho‐1 in peripheral blood mononuclear cells of leukemia patients was significantly upregulated.Conclusion .The occurrence and development of leukemia are closely related to nestin regulating keap1‐nrf2‐ho‐1 signal pathway.Research significance .This study determined the effect of nestin on the biological behavior of leukemia cells and its possible mechanism and confirmed that nestin may be a marker of tumor and tumor blood vessels.

Journal: BioMed Research International (2022)
Publication types: Research Article;
Needle-Warming Moxibustion plus Multirehabilitation Training to Improve Quality of Life and Functional Mobility of Patients with Rheumatoid Arthritis after Medication

Patients treated with medication for rheumatoid arthritis (ra) often improve but continue to have active diseases.The study aims to investigate whether needle-warming moxibustion (nwm) plus multirehabilitation training can improve quality of life (qo l) and functional mobility of ra patients after medication.Methods.Eighty-four ra patients were selected as study participants, including 42 patients receiving medication (medication group) and 42 patients receiving nwm plus multirehabilitation training (nwm + mrt group).The scores of disease symptoms, pain (visual analogue scale (vas)), sleep quality (pittsburgh sleep quality index (psqi)), functional mobility (fugl–meyer assessment scale (fmas)), self-rating anxiety scale (sas), self-rating depression scale (sds), and qo l (sf-36) were compared before and after treatment.When patients were discharged from the hospital, they were given a questionnaire for treatment satisfaction.Results.After treatment, decreases in the scores of the vas, psqi, sas, and sds were observed in both cohorts, especially in the nwm + mrt group ( p &lt; 0.05 ).The fmas scores of upper limbs and lower limbs were increased after treatment, which were higher in the nwm + mrt group in comparison with the medication group ( p &lt; 0.05 ).Of note, patients in the nwm + mrt group scored higher in various dimensions of the sf-36 scale ( p &lt; 0.05 ), showing better qo l.The satisfaction survey showed that the nwm + mrt group had a higher proportion of patients being satisfied and a lower proportion of patients being dissatisfied ( p &lt; 0.05 ).Conclusion.Nwm plus multirehabilitation training could significantly attenuate disease symptoms, improve qo l, recover functional mobility, and reduce the risk of anxiety and depression in ra patients.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Clinical Study;
Multiparameter Magnetic Resonance Quantitative Evaluation of Pancreatic Cancer with Vascular Invasion

To analyze the value of multiparameter magnetic resonance (mp mri) in the diagnosis of pancreatic cancer with vascular invasion from two aspects: morphology and function, so as to provide a reliable diagnostic basis for preparing the clinical treatment plans.Methods .Totally 31 case data of pancreatic cancer patients diagnosed in our hospital from january 2020 to march 2021 were enrolled in this study.All patients underwent multiparameter magnetic resonance imaging (t1wi, t2wi, dki, and dce‐mri) before surgery, and then all patients underwent pancreatic cancer surgery.Two experienced radiologists analyzed these obtained images according to the image reports and combined them with the pathological results.Taking pathological results as gold standard, the sensitivity, specificity, and accuracy of quantitative parameters derived from t2wi, dki, dce, t2wi + dki, t2wi + dce, and t2wi + dki + dce for the diagnostic capabilities of pancreatic cancer vascular invasion were calculated using diagnostic laboratory methods.Kappa consistency test was used to estimate the consistency of two radiologists’ diagnosis and analysis.The images obtained by dki sequence were input into the postprocessing software mitk‐diffusion v2014.10.02, the images obtained from dce sequence were processed by the tissue 4d software on the siemens syngo via workstation to calculate and analyze each tumor roi’s md, mk values from dki, and k trans , k ep , v e values from dce.Independent samples t ‐test was used to compare the parameters of pancreatic cancer with vascular invasion group (16 cases) and nonvascular invasion group (15 cases).Roc curve was used to analyze the efficacy of each parameter in diagnosing pancreatic cancer vascular invasion.Results .The sensitivity, specificity, and accuracy of t2wi were 62.5%, 53.5%, and 58.1%; those of dki were 56.3%, 60.0%, and 58.1%; those of dce were 68.8%, 60.0%, and 64.5%; those of t2wi + dki were 68.8%, 66.7%, and 67.7%; those of t2wi + dce were 75.0%, 66.7%, and 71.1%; those of t2wi + dki + dce were 81.2%, 73.3%, and 77.4%, respectively.These two diagnostic radiologists analyzed image data with good consistency, kappa = 0.834.Md, mk, k trans , k ep , and v e were significantly different between the vascular invasion group and the nonvascular invasion group ( p &lt; 0.05).Each parameter’s auc of roc curve was 0.773, 0.829, 0.794, 0.802, and 0.846 ( p &lt; 0.05).Take md = 2.285 × 10 −3 mm/s 2 , mk = 0.72, k trans = 0.103, k ep = 0.337, and v e = 0.353 as thresholds; the sensitivity of these parameters to diagnose vascular invasion of pancreatic cancer was 73.33%, 75%, 87.5%, 68.8%, and 68.8%.The specificity of them was 75%, 80%, 60%, 86.7%, and 86.7%, respectively.Conclusion .The combined analysis of t2wi + dki + dce can improve the specificity and accuracy of diagnostic efficiency of vascular invasion of pancreatic cancer and provide an important diagnostic basis for pancreatic cancer’s preoperative treatment.

Journal: BioMed Research International (2022)
Publication types: Research Article;
Motion Measurement and Analysis of Different Instruments for Single-Incision Laparoscopic Surgery

To objectively compare and analyze the range of motion of three types of instruments for single-incision laparoscopic surgery.Material and methods.Ten experienced participants were recruited.Straight instruments (group a), straight/articulating instruments (group b), and precurved instruments (group c) were used to complete the transferring task through one site in a laparoscopic simulator.Straight instruments via two separate sites (group d) served as control.The operation time of each group was recorded.Instrument positions were measured by an optical tracking system.The inserted length and pivoting angles were derived via matlab.Results.There was a significant difference in operation time between groups ( d &lt; a &lt; b &lt; c , p &lt; 0.01 ).The range of motion of instruments was different on instrument types and surgical approaches.A significant difference in the inserted length was found between groups.Instrument conflicts and inadequate triangulation were found in group a; instrument conflicts were found in group b; no obvious conflicts and triangulation problems were observed in group c.The operation in group c was similar to the operation in group d but differed on the left/right pivoting angles.Conclusion.Different types of instruments have different ranges of motion in single-incision laparoscopic surgery.Working with precurved instruments seems like a compromise to traditional laparoscopic surgery if the transmission property, and shaft curvature of the instruments could be improved.An integrated mechanical platform or robotic system might be the ultimate solution for single-incision laparoscopic surgery to pursue even less trauma.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Monitoring Cardiovascular Problems in Heart Patients Using Machine Learning

The world health organization reports that heart disease is the most common cause of death globally, accounting for 17.9 million fatalities annually.The fundamentals of a cure, it is thought, are important symptoms and recognition of the illness.Traditional techniques are facing many challenges, ranging from delayed or unnecessary treatment to incorrect diagnoses, which can affect treatment progress, increase the bill, and give the disease more time to spread and harm the patient’s body.Such errors could be avoided and minimized by employing ml and ai techniques.Many significant efforts have been made in recent years to increase computer‐aided diagnosis and detection applications, which is a rapidly growing area of research.Machine learning algorithms are especially important in cad, which is used to detect patterns in medical data sources and make nontrivial predictions to assist doctors and clinicians in making timely decisions.This study aims to develop multiple methods for machine learning using the uci set of data based on individuals’ medical attributes to aid in the early detection of cardiovascular disease.Various machine learning techniques are used to evaluate and review the results of the uci machine learning heart disease dataset.The proposed algorithms had the highest accuracy, with the random forest classifier achieving 96.72% and the extreme gradient boost achieving 95.08%.This will assist the doctor in taking appropriate actions.The proposed technology will only be able to determine whether or not a person has a heart issue.The severity of heart disease cannot be determined using this method.

Journal: Journal of Healthcare Engineering (2023)
Publication types: Research Article;
Mobile Communication Network Optimization System Based on Artificial Intelligence

The objective of this paper is to study the key technology of the mobile communication network optimization system based on artificial intelligence technology.Specific content .This paper designs the artificial intelligence agent‐ (ia‐) type mobile communication network optimization tool i os2cmcn, analyzes the relevant intelligent technology introduced into the system, and analyzes the feasibility and practicability of i os2cmcn through application examples.The results show that the optimization of mobile communication networks is one of the important links in the construction of communication networks and ensuring the quality of network service.In the form of an artificial intelligence agent, i os2cmcn absorbs the experience and knowledge of a large number of network optimization engineers and experts and realizes the intelligence and automation of mobile communication network optimization.It is proven that the fuzzy technology is introduced in theory, the practical problem is reasonably modeled, and the rule and case reasoning are used to simulate the thinking mode of a human being when solving the problem.It reduces the dependence of network optimization on humans, improves the efficiency of network optimization, and provides a new idea for practical mobile communication network optimization.

Journal: Wireless Communications and Mobile Computing (2021)
Publication types: Research Article;
Mitochondrial-Targeted Antioxidant Peptide SS31 Prevents RPE Cell Death under Oxidative Stress

This work aims at investigating the protective effects of the mitochondria‐targeted peptide ss31, on mitochondria function, preventing human retinal pigment epithelial cell‐19 (arpe‐19) cell apoptosis.The arpe‐19 cells were subjected to 24 h of intervention with h 2 o 2 of various concentrations (0, 100, 150, 200, 250, 300, and 500 μ mol/l).Various concentrations of ss31 (10 n m, 100 n m, and 1 μ mol/l) pretreated the cells for 2 h.The mtt assay determined cell viability.Arpe‐19 cell apoptosis was observed by 4 ′ ,6‐diamidino‐2‐phenylindole (dapi) staining under fluorescence microscope and detected by annexin‐v/pi staining under flow cytometry.The measurement of reactive oxygen species (ros) release level used mito sox red (a mitochondrial superoxide indicator) and the probe 2 ′ ‐7 ′ dichlorofluorescin diacetate (dcfh‐da).And with the use of a jc‐1 probe, the mitochondrial membrane potential (mmp; δ ψ m ) was analyzed.Reverse transcription polymerase chain reaction (rt‐pcr) and real‐time pcr were responsible for measuring the levels of apoptosis related genes (bcl‐2, bax, and caspase‐3).The cell viability increased significantly with ss31 pretreated ( p &lt; 0.05).In the ss31 + h 2 o 2 group, the fluorescence of the cell nuclei with dapi staining was weaker than h 2 o 2 along group accordance with the decreased ratio of apoptotic cells ( p &lt; 0.05).The ros generation decreased in ss31 pretreated group, with the increased δ ψ m .The rt‐pcr result showed decreased bax gene and caspase‐3 gene expression with ss31 pretreatment, while increased antiapoptotic gene bcl‐2 ( p &lt; 0.05).We provide evidence that ss31 promotes resilience of rpe cells to oxidative stress by stabilizing mitochondrial function.

Journal: BioMed Research International (2022)
Publication types: Research Article;
miR-18a-5p and ATM Expression in Esophageal Squamous Cell Carcinoma and Their Correlations with Clinicopathological Features

To investigate mi r-18a-5p and ataxia telangiectasia muted (atm) expression in esophageal squamous cell carcinoma (escc) and their correlations with clinicopathological features.Methods.The subjects of this study were 62 escc patients (research group, rg) and 57 healthy controls (control group, cg) presented to our hospital between july 2019 and april 2020.Peripheral blood (pb) mi r-18a-5p and atm levels in these participants were quantified via q rt-pcr, and the correlations of the two genes with escc patients’ clinicopathological characteristics were investigated.In addition, a two-year follow-up was performed on escc patients to understand their survival, so as to further determine the prognostic utility of mi r-18a-5p and atm in escc.Factors influencing patient outcomes were identified by cox analysis.Results.Pb mi r-18a-5p expression was higher in rg compared with cg, while atm was lower, suggesting an inverse connection between the two genes in escc ( p &lt; 0.001 ).Mi r-18a-5p and atm levels were determined to be strongly linked to tnm stage, differentiation degree, and lymph node metastasis in escc patients ( p &lt; 0.001 and p = 0.007 ).The patients who succumbed to the disease exhibited higher mi r-18a-5p and lower atm than the survival ( p &lt; 0.05 ).Roc analysis suggested favorable evaluation effects of mi r-18a-5p and atm on the occurrence and prognostic death of escc ( p &lt; 0.001 ).Further, these two genes were identified by the cox analysis to be factors independently affecting the prognosis of escc.Conclusion.Mi r-18a-5p is highly expressed in escc, and atm is underexpressed, both of which are closely linked to the pathological process of escc and have a good evaluation effect on the occurrence and prognosis of escc, which may become a breakthrough in future diagnosis and treatment of escc.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Microorganism Determination of 10 Proprietary Chinese Medicines for Children by Plate Culture or Membrane Filtration

This study attempted to verify the applicability of the microbial limit test (plate culture and membrane filtration) for 10 proprietary chinese medicines for children.Methods.In this study, we collected 10 proprietary chinese medicines for children as study objects and performed plate culture and membrane filtration to calculate the colony-forming unit (cfu) of microorganisms in these medicines and verify its applicability in objectionable microorganisms.Results.It was found that the recovery rate of microorganisms including staphylococcus aureus, bacillus subtilis, pseudomonas aeruginosa, candida albicans, and aspergillus niger ranged from 70% to 150%.This verification was performed by plate culture or membrane filtration.Inspection for objectionable microorganisms (escherichia coli, salmonella paratyphi b, and bile salt-tolerant gram-negative bacteria) was applicable for most medicines.Conclusion.Microbial limit test is feasible for the determination of microorganisms in 10 proprietary chinese medicines for children.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Microbiome-Metabolomics Reveals Endogenous Alterations of Energy Metabolism by the Dushen Tang to Attenuate D-Galactose-Induced Memory Impairment in Rats

Aging affects the brain function in elderly individuals, and dushen tang (dst) is widely used for the treatment of senile diseases.In this study, the protective effect of dst against memory impairment was evaluated through the morris water maze (mwm) test and transmission electron microscopy (tem).A joint analysis was also performed using lc‐ms metabolomics and the microbiome.The mwm test showed that dst could significantly improve the spatial memory and learning abilities of rats with memory impairment, and the tem analysis showed that dst could reduce neuronal damage in the hippocampus of rats with memory impairment.Ten potential biomarkers involving pyruvate metabolism, the synthesis and degradation of ketone bodies, and other metabolic pathways were identified by the metabolomic analysis, and it was found that 3‐hydroxybutyric acid and lactic acid were involved in the activation of c amp signaling pathways.The 16s r dna sequencing results showed that dst could regulate the structure of the gut microbiota in rats with memory impairment, and these effects were manifested as changes in energy metabolism.These findings suggest that dst exerts a good therapeutic effect on rats with memory impairment and that this effect might be mainly achieved by improving energy metabolism.These findings might lead to the potential development of dst as a drug for the treatment of rats with memory impairment.

Journal: BioMed Research International (2021)
Publication types: Research Article;
Meta-Resolve of Risk Factors for Nosocomial Infection in Patients Undergoing Thoracic Surgery

As we all know, various complications may occur after surgery, and postoperative bleeding and infection are the most common in clinical practice.Postoperative infection mainly manifests as abdominal abscess, peritonitis, and fungal infection.Thoracic surgery is a very common clinical operation.It can directly deal with the relevant lesions, so a better curative effect can usually be obtained.However, patients undergoing thoracic surgery are generally more severely ill, with low immune resistance, long duration, and complicated surgical treatment process.Therefore, the probability of nosocomial infection is high, and there are many risk factors for infection.After the occurrence of hai, it not only increases the suffering and economic burden of patients and the workload of medical staff but also prolongs the hospitalization time of patients, reduces the turnover rate of hospital beds, causes unnecessary economic losses, and affects the social and economic benefits of hospitals.Based on this, this paper proposes to analyze the risk factors of nosocomial infection in patients undergoing thoracic surgery, so as to provide a reference for the prevention or control of nosocomial infection.This paper analyzes the actual situation of nosocomial infection in a city hospital and then uses meta‐analysis to determine the factors of nosocomial infection from the perspective of relevant research literature.Meta‐analysis results show that patients older than 60 years have twice the risk of postoperative infection compared with patients younger than 60 years.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Meta-Analysis;