syedzayyan/paper_mill_benchmark huggingface dataset:
An AI-Driven Hybrid Framework for Intrusion Detection in IoT-Enabled E-Health

E-health has grown into a billion-dollar industry in the last decade.Its device’s high throughput makes it an obvious target for cyberattacks, and these environments desperately need protection.In this scientific study, we presented an artificial intelligence (ai)-driven software-defined networking (sdn)-enabled intrusion detection system (ids) to address increasing cyber threats in the e-health and internet of medical things (io mt) environments.Ai’s success in various fields, including big data and intrusion detection systems, has prompted us to develop a flexible and cost-effective approach to protect such critical environments from cyberattacks.We present a hybrid model consisting of long short-term memory (lstm) and gated recurrent unit (gru).The proposed model was thoroughly evaluated using the publicly available cicddo s2019 dataset and conventional evaluation measures.Furthermore, for proper validation, the proposed framework is compared with relevant classifiers, such as cu-gru+ dnn and cu-blstm.We have further compared the proposed model with existing literature to prove its efficacy.Lastly, 10-fold cross-validation is also used to verify that our results are unbiased.The proposed approach has bypassed the current literature with extraordinary performance ramifications such as 99.01% accuracy, 99.04% precision, 98.80 percent recall, and 99.12% f1-score.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Alteration of Intestinal Microbiota and Hydrogen Sulfide Metabolism in Patients with Hashimoto’s Thyroiditis

To analyze the intestinal microbiota and h2s levels in patients with ht.Methods .Twenty euthyroid ht patients and twenty healthy control individuals were recruited.Fecal samples were collected, and the microbiota was examined using 16s rna gene sequencing.We also collected serum samples to examine the h2s levels.Results .Compared with patients with ht, the ace and chao indices were significantly lower in healthy controls ( p = 0.04, 0.03, respectively).The microbial composition of the ht group differed significantly from that of the healthy group.We observed a significant increase in the proportions of bacteroides , fusobacterium , sutterella , and veillonella in patients with ht ( p &lt; 0.05).Linear discriminant analysis and effect size analysis also revealed that bacteroides and ralstonia were enriched in patients with ht.Additionally, patients with ht had significantly lower h2s levels than healthy controls ( p &lt; 0.005).The enrichment of h2s anabolism was linked to the alteration of intestinal microbiota in patients with ht.Conclusion .We demonstrated that patients with ht have aberrant intestinal microbiome and that h2s anabolism may contribute to ht pathogenesis.

Journal: Journal of Healthcare Engineering (2023)
Publication types: Research Article;
ALK7 Knockdown Plays a Protective Role on HG-Stimulated MCs through Activation of the Nrf2/HO-1 Pathway

Activin receptor-like kinase 7 (alk7) is a member of the alk family that has a key role in diabetes.However, the role of alk7 in diabetic nephropathy (dn) remains unclear.Methods.Herein, we evaluated the effects of alk7 on mesangial cells (mcs).Mcs were transfected with si-alk7 or pc dna3.0-alk7, and then stimulated with 40 m m glucose for 24 h.Cell proliferation was detected by mtt assay.Relative ros level was detected using dcfh-da staining.The contents of inflammatory cytokines were determined by elisa.Western blot analysis was used to determine the expression levels of fn, col iv, nrf2, and ho-1 in mcs.Results.Our results showed that alk7 expression was induced by hg in mcs.Knockdown of alk7 inhibited hg-induced cell proliferation.The hg-induced ros was mitigated by si-alk7 with decreased ros level and nox activity.In addition, alk7 knockdown exhibited anti-inflammatory activity in hg-stimulated mcs.Moreover, alk7 knockdown attenuated fibronectin (fn) and collagen iv (col iv) expression in mcs.Knockdown of alk7 enhanced nrf2/ho-1 pathway in mcs.Inhibition of nrf2 reversed the protective effects of alk7 knockdown on hg-stimulated mcs.Conclusion.Alk7 knockdown exerted protective effects on hg-stimulated mcs through activation of the nrf2/ho-1 pathway.Thus, targeting alk7 might be a therapeutic approach for the treatment of dn.

Journal: Disease Markers (2022)
Publication types: Research Article;
Albiflorin Alleviates Ox-LDL-Induced Human Umbilical Vein Endothelial Cell Injury through IRAK1/TAK1 Pathway

Introduction .Atherosclerosis (as) is a chronic inflammatory disease characterized by lipid metabolism disorder and vascular endothelial damage.Albiflorin (af) has been certified to be effective in the therapy of certain inflammatory diseases, while the therapeutic effect and mechanism of af on as have not been fully elucidated.Material and methods .Model cells for as were created by inducing oxidized low‐density lipoprotein (ox‐ldl) in human umbilical vein endothelial cells (huvecs).After processing with af and interleukin‐1 receptor‐associated kinase 1‐ (irak1‐) overexpressed plasmid, cell viability was assessed by cck‐8; cholesterol efflux was tested using liquid scintillation counter; il‐6 and tnf‐ α levels were determined with elisa kits; ros and apoptosis were confirmed using flow cytometry.Besides, irak1‐tak1 pathway and apoptosis‐ and mitochondrial fusion‐related proteins were monitored with western blotting analysis.Results .Our results verified that af could not only dramatically accelerate viability and cholesterol efflux but also attenuate inflammation, ros production, and apoptosis in ox‐ldl‐induced huvecs.Meanwhile, af could prominently prevent the activation of irak1‐tak1 pathway, downregulate apoptosis‐related proteins, and upregulate mitochondrial fusion‐related proteins in ox‐ldl‐induced huvecs.Moreover, we testified that irak1 overexpression memorably could reverse suppression of af on inflammation, apoptosis, and irak1‐tak1 pathway and enhancement of af on viability, cholesterol efflux, and mitochondrial fusion in ox‐ldl‐induced huvecs.Conclusions .By blocking the irak1/tak1 pathway, af can significantly slow the course of as, suggesting that it could be a viable therapeutic option for as.

Journal: BioMed Research International (2022)
Publication types: Clinical Study;
AG600 Amphibious Aircraft Selection Model Based on Improved Fuzzy Evaluation Algorithm

Ing at the selection research gap of ag600 amphibious aircraft for salvage of life at sea, the selection index system of ag600 has been established, and an interval intuitionistic fuzzy selection decision model based on fuzzy entropy and score function is constructed.An evaluation index system with 8 indexes was determined based on the rules of the applicability, safety, and accessibility by questionnaire and statistical analysis.Different from the traditional method of determining the fuzzy number of each index solely by experts’ scoring, this paper establishes a 5-grade fuzzy evaluation grade and index membership function, and the interval intuitionistic fuzzy number of the index is determined by combining subjective and objective methods.Fuzzy entropy and score function are used to calculate the weights of each index and ag600 selection score for different accidents, so as to obtain the matching degree of ag600 selection in marine life accidents more scientifically and reasonably.Finally, the effectiveness of the proposed model is demonstrated by a practical case.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Advances in the Study of Inhaled Formulations for the Treatment of Pulmonary Arterial Hypertension

Pulmonary arterial hypertension (pah) is a serious disease with reduced systemic circulation and low bioavailability associated with conventional and dosed therapy, which inhaled drugs can avoid.A mean pulmonary artery pressure (m pap) of ≥25 mm hg ( 1 mm hg = 0.133 k pa ) at rest or ≥30 mm hg during exercise and a pulmonary capillary pressure or left atrial pressure (pla) of ≤15 mm hg can be diagnosed with pah.Pulmonary hypertension is classified into primary pah and secondary pah according to the presence or absence of principles or risk factors.The main symptoms of pulmonary hypertension include dyspnoea, syncope, weakness, chest pain, and the presence of varying degrees of peripheral oedema.It is a highly pathogenic and life-threatening disease and can lead to delays in treatment if not diagnosed in time.In the past few years, the studies related to this progressed slowly, which brought great harm to patients with pah.Reports showed that patients diagnosed with pah should receive routine preventative care, such as pneumococcal and influenza vaccinations.Inhalation therapy is mainly used for the treatment of respiratory diseases and is of great interest due to the concentration of the drug in the airways and lung tissues.Therefore, the present situation of pulmonary hypertension and the characteristics of inhalation preparation were reviewed in this paper to provide some related cue for the treatment of pulmonary hypertension.In the future, it is necessary to develop more treatment methods for pulmonary hypertension.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Remote Judgment Method of Painting Image Style Plagiarism Based on Wireless Network Multitask Learning

Since the artistry of the work cannot be accurately described, the identification of reproducible plagiarism is more difficult.The identification of reproducible plagiarism of digital image works requires in‐depth research on the artistry of artistic works.In this paper, a remote judgment method for plagiarism of painting image style based on wireless network multitask learning is proposed.According to this new method, the uncertainty of painting image samples is removed based on multitask learning algorithm edge sampling.The deep‐level details of the painting image are extracted through the multitask classification kernel function, and most of the pixels in the image are eliminated.When the clustering density is greater than the judgment threshold, it can be considered that the two images have spatial consistency.It can also be judged based on this that the two images are similar, that is, there is plagiarism in the painting.The experimental results show that the discrimination rate is always close to 100%, the misjudgment rate of plagiarism of painting images has been reduced, and the various indicators in the discrimination process are the lowest, which fully shows that a very satisfactory discrimination result can be obtained.

Journal: Wireless Communications and Mobile Computing (2021)
Publication types: Research Article;
Design of Logistics Intelligent Warehouse Management System Based on Radio Frequency Identification Technology for 5G

At present, the operation energy consumption of intelligent logistics warehouse management system based on b/s is too large, and the operation efficiency is low.In order to improve this situation, a design method of intelligent logistics warehouse management system based on radio frequency identification technology is proposed to optimize the hardware structure of the system.Based on the overall structure of the system, the network topology of the warehouse management system is divided into physical level, network level, data level, and application level.Further optimize the function and operation of the system software based on rfid technology, transfer the goods to the warehouse by logistics, count the goods, determine the goods location in the warehouse management system in the outbound management procedure, and collect the internal data of outbound goods through the rfid reader.Use the handling tools to transfer the picked goods to the warehouse out.The user management module mainly controls user login and user management.The statistical management of inventory is to clear and count the goods, which can provide a basis for the research in the field of intelligent logistics warehousing.

Journal: Wireless Communications and Mobile Computing (2023)
Publication types: Research Article;
Advances in Heavy Metal Bioremediation: An Overview

The pollution of toxic heavy metals is considered one of the most important environmental issues which has accelerated dramatically due to changing industrial activities.This review focuses on the most common methods, strategies, and biological approaches of heavy metal bioremediation.Also, it provides a general overview of the role of microorganisms in the bioremediation of heavy metals in polluted environments.Advanced methods of heavy metal remediation include physicochemical and biological methods; the latter can be further classified into in situ and ex situ bioremediation.The in situ process includes bioventing, biosparging, biostimulation, bioaugmentation, and phytoremediation.Ex situ bioremediation includes land farming, composting, biopiles, and bioreactors.Bioremediation uses naturally occurring microorganisms such as pseudomonas, sphingomonas, rhodococcus, alcaligenes, and mycobacterium.Generally, bioremediation is of very less effort, less labor intensive, cheap, ecofriendly, sustainable, and relatively easy to implement.Most of the disadvantages of bioremediation relate to the slowness and time-consumption; furthermore, the products of biodegradation sometimes become more toxic than the original compound.The performance evaluation of bioremediation might be difficult as it has no acceptable endpoint.There is a need for further studies to develop bioremediation technologies in order to find more biological solutions for bioremediation of heavy metal contamination from different environmental systems.

Journal: Applied Bionics and Biomechanics (2021)
Publication types: Review Article;
Adoption of Compound Echocardiography under Artificial Intelligence Algorithm in Fetal Congenial Heart Disease Screening during Gestation

This research was aimed at exploring the diagnostic and screening effect of composite echocardiography based on the artificial intelligence (ai) segmentation algorithm on fetal congenital heart disease (chd) during pregnancy, so as to reduce the birth rate of newborns with chd.A total of 204 fetuses with abnormal heart conditions were divided into group ii, group c (optimized with the ai algorithm), and group w (not optimized with the ai algorithm).In addition, 9,453 fetuses with normal heart conditions were included in group i.The abnormal distribution of fetal heart and the difference of cardiac z score between group ii and group i were analyzed, and the diagnostic value of group c and group w for chd was compared.The results showed that the segmentation details of the proposed algorithm were better than those of the convolutional neural network (cnn), and the dice coefficient, precision, and recall values were higher than those of the cnn.In fetal chd, the incidence of abnormal ultrasonic manifestations was ventricular septal defect (98/48.04%), abnormal right subclavian artery (29/14.22%), and persistent left superior vena cava (25/12.25%).The diagnostic sensitivity (75.0% vs.51.5%), specificity (99.6% vs.99.2%), accuracy (99.0% vs.98.2%), negative predictive value (88.5% vs.78.5%), and positive predictive value (99% vs.57.7%) of echocardiography segmentation in group c were significantly higher than those in group w.To sum up, echocardiography segmented by the ai algorithm could obviously improve the diagnostic efficiency of fetal chd during gestation.Cardiac ultrasound parameters of children with chd changed greatly.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Numerical Simulation and Optimization Control of Precious Metal Jewelry Process Based on VR Virtual Technology

In order to solve the problem that the design direction of precious metal ornaments in virtual reality environment which is complicated and most of them are operated by human, and the speed of obtaining the global optimal design result is not good, this paper proposes the numerical simulation and optimization control of precious metal ornaments process based on vr virtual technology.Through the hierarchical modeling structure design of precious metal jewelry and the coding of jewelry modeling gene, the fitness function is used to evaluate the fitness of individuals and determine the fitness of coding individuals; the evolution of jewelry modeling design scheme is supported by genetic operators.After the artificial participation conditions are met, the design scheme is evaluated manually in the virtual reality environment until a satisfactory scheme is produced.The experimental results show that under the same conditions, the design results of industrial ornaments based on genetic algorithm are 410 times less than those generated by conventional methods.Conclusion.It can accurately converge to the global optimal design result, which indicates that the genetic algorithm converges to the global optimal result faster and better in the industrial jewelry modeling design under the virtual reality environment.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
Interactive Clothing Optimization Design Model Based on 3D Printing

In order to solve the problem of improving the matching degree between the designed clothing and the user’s body shape, the author proposes an interactive clothing optimization design model based on 3d printing.The user logs in to the system through the user layer, and the display layer uses 3d scanning technology to scan the human head, torso, and other information to collect human body data, and project the collected human body data to obtain the human body outline, select the human body contour line obtained by the denoising process of the interpolation algorithm, extract the feature points of the human body contour line after the denoising process through the corner point detection method, and use the final feature points to obtain the final contour line, the 3d human body data file is generated and sent to the interface layer, the interface layer designs clothing through style design, adding colors and patterns, and uses the global optimization method to adaptively adjust the clothing pieces to achieve clothing design, fit the designed clothing through the virtual fitting module until it meets the user’s needs.Experimental results show that: the system collects user size with an accuracy of higher than 99.5%, and the number of iterations for adaptive adjustment of human body size is less than 30 times.Conclusion: the designed clothing virtual design system can effectively make up for the blank of clothing e-commerce, with high innovation and high practicability.

Journal: Wireless Communications and Mobile Computing (2023)
Publication types: Research Article;
Enterprise Management Resource Protection System Based on Digital Information Technology

Enterprise management resource protection is a system management activity in which an enterprise conducts comprehensive planning, allocation, utilization, and development of its resources, and it is the process of organizing, planning, coordinating, supervising, and controlling the allocation, utilization, and development of enterprise resources.The purpose of this paper is to analyze the system that digital information technology applies to enterprise management by constructing models and combinations based on digital information technology so that the built models and combinations have a more effective analysis and research.This paper first gives a general introduction to digital information technology, then analyzes the theory of enterprise management resource protection, then establishes a model for information technology to act on enterprise management, and finally analyzes the combination of information technology and enterprise management and compares the two through enterprise case analysis.The experimental results show that in the case of enterprise management in various regions, the efficiency of enterprise management based on digital information technology is obviously higher, and the enterprise resources can be better protected.From 2018 to 2021, the development of enterprise management resource protection in various regions is basically showing an upward trend; it increased from 3.443, 5.414, 6.473, 4.382, 2.997, 3.751, 0.506, and 2.974 in 2018 to 6.187, 7.658, 8.601, 7.518, 5.932, 6.516, 3.877, and 6.243 in 2021.This is a good demonstration of the effectiveness of the protection of enterprise management resources based on digital information technology.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
Robot Structural Optimization Based on Computer Intelligent Image

In order to solve the problems of low degree of automation, difficult identification of picking objects, and large picking damage in traditional fruit and vegetable picking operations, the author proposes a robot structure optimization method based on computer intelligent images.This method introduces the computer imaging technology, examines the principle of imaging the computer imaging technology as the in-depth study of the computer imaging technology, completes the mechanical design of the selected robot, and optimizes all hardware models of choice robot.At the same time, the computer image acquisition system, image acquisition module, and execution module are designed; finally, the computer image information processing flow design of the picking robot is completed, and the simulation experiment of the picking robot is carried out.Experimental results show that in the experiments with 166, 142, and 165 tomato identification numbers, the identification accuracy rates were all over 96%.Conclusion.The picking robot based on computer images has a simple structure, high recognition accuracy of picking targets, less damage to the picking targets, high safety and stability, and great promotion value.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
Additional Acupuncture Confers a Favorable Long-Term Prognosis for Elderly Hypertensive Patients with Carotid Atherosclerosis after Atorvastatin Treatment

The purpose of the study is to investigate the clinical efficacy and long-term prognosis of acupuncture (ap) combined with atorvastatin (ato) in treating senile essential hypertension (eh) complicated with carotid atherosclerosis (ca).Methods.108 elderly eh patients with ca admitted to our hospital between january 2018 and september 2018 were enrolled into the study, consisting of 67 patients who received treatment of ap with ato (ap + ato group) and 41 patients who received treatment of ato alone (ato group).Comparative outcomes included clinical efficacy, blood pressure (bp), the levels of blood lipids and inflammatory factors, carotid intima-media thickness (imt), the number of unstable carotid intima plaques, the carotid plaque area, and the incidence of adverse reactions.All patients were followed up for 3 years to evaluate their quality of life and the recurrence rate of ca.Results.The ap + ato group presented a higher efficacy, a declined bp, and lower posttreatment levels of blood lipids and inflammatory factors than the ato group ( p &lt; 0.05 ).Reductions were observed in imt, number of plaques, and plaque area in both groups after treatment, with more significant improvements in the ap + ato group ( p &lt; 0.05 ).No difference was observed in the incidence of adverse reactions between two groups after treatment ( p &gt; 0.05 ).The follow-up analysis demonstrated a higher sf-36 score and a lower recurrence rate of ca in the ap + ato group than the ato group ( p &lt; 0.05 ).Conclusion.The findings suggested that, for elderly eh patients with ca, treatment of ap with ato offers better clinical efficacy and safety, which not only can decline the bp, but also can reduce blood lipids and plaque formation, and improve quality of life.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Clinical Study;