syedzayyan/paper_mill_benchmark huggingface dataset:
Investigation of Diabetes Care in Elder Individuals Using Artificial Intelligence

The term blockchain is mainly regarded as the distributed transaction which is mainly comprised of different blocks, and each set tends to represent the data that are being associated with the previous blocks.The blockchain is mainly managed through peer-to-peer networks which comparatively involves in adhering to the protocol of authenticating various blocks to form the blockchain.The usage of blockchain technology has been increasingly used in different fields, and healthcare services are now using blockchain for better patient delivery, detecting disease, and other aspects.The scope of the proposed study is that this study has exploited the function of a blockchain-enabled big data network to support medical professionals in giving better treatment modalities and delivering better patient care.The application of a new generation of smart block chains such as ethereum and nem is now offering better services and features in creating blockchain-based healthcare data management and hence support healthcare centers, medical practitioners, nurses, radiologists, and patients for better healthcare management.The application of blockchain technology in big data networks supports adding more value as it results in enhanced data quality, accessibility, and support in creating better security and safety of data and information, which is highly essential in the medical industry.Blockchain technology enables big data technologies enabled in supporting medical practitioners in addressing various healthcare ailments; one of the major diseases impacting many people around the world is diabetes.Patients with such ailments tend to generate more data and information related to the disease and health-related aspects.Hence, this information requires being maintained and analyzed, so that superior healthcare services can be provided.This study is more involved in the investigation of blockchain technology through a big data network enabled in offering better care for elderly individuals who have been affected due to diabetes, the researchers propose to choose a questionnaire method to collect the data from nearly 169 respondents, and these data were then analyzed using spss data package.The analyst used percentage analysis, correlation analysis, and chi-square test to analyze the data which has been collated by the researchers.The results and discussion show in detail the major aspects of blockchain technology in supporting healthcare professionals for better diabetes care management for elderly individuals.

Journal: Journal of Food Quality (2022)
Publication types: Research Article;
Inhibition of TNF-α and JNK Signaling Pathway Can Reduce Paclitaxel-Induced Apoptosis of Mouse Cardiomyocytes

Paclitaxel (ptx) is a widely used chemotherapeutic drug for treating tumors.However, studies have shown that it can cause cardiac problems such as arrhythmia, myocarditis, chronic cardiomyopathy, and heart failure.Therefore, it is essential to study the mechanism behind the cardiotoxicity of ptx in tumor treatment.In this study, we initially injected ptx into mice to establish a myocardial cell apoptosis model to observe the degree of damage to mouse myocardium caused by ptx.Upon determining the levels of mouse myocardial creatine phosphokinase (ck), myokinase isoenzyme (ck-mb), aspartate transaminase (ast), and lactate dehydrogenase (ldh), we found that all of these levels showed apparent increases in mice treated with ptx.Further analyses of the tnf-α level and the expression of jun n-terminal kinase (jnk) and bcl-2 family-related proteins in myocardial tissue were performed.It was found that ptx increased the protein levels of tnf-α, bax, p-jnk, and jnk in myocardial tissue but decreased the protein level of bcl-2.After 1 month of ptx treatment in mice, we inhibited the expression of tnf-α and jnk proteins, which reduced the effect of paclitaxel on the apoptosis of mouse cardiomyocytes.The protein levels of bax, p-jnk, and tnf-α in cardiomyocytes were reduced, while there was a relative increase in the bcl-2 protein level.The findings suggested that inhibition of the nk signaling pathway and tnf-α can lessen the effect of ptx on mouse cardiomyocytes.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Industrial Information Security Detection and Protection: Monitoring and Warning Platform Architecture Design and Cryptographic Antitheft Technology System Upgrade

Industrial information security is an important part of the national security strategy that affects the economy and people’s lives.With the rapid development of automation and information technology, common protocols and common hardware and software based on information technology are increasingly used in industrial information control system products and are widely used in industries such as energy, metallurgy, water resource management, chemical, and production.Attacks on critical industrial information can not only cause accidents, losses, and local production pollution but also disrupt the balance of supply and demand of raw materials in the area covered by the system.Therefore, it is of great theoretical and practical importance to study industrial information security as an important measure to ensure the stable operation of the system.In this paper, we analyze the main industrial structure characteristics, external environment, and security requirements and propose a monitoring and warning platform architecture with cryptographic antitheft technology system based on hierarchical modeling and closed-loop control.It can prevent the spread of the attack and reduce its negative impact.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Index Construction and Application of School-Enterprise Collaborative Education Platform Based on AHP Fuzzy Method in Double Creation Education Practice

At present, china’s education reform is developing rapidly, and many schools begin to study and implement school-enterprise cooperative education.There are also some conceptual deviations.In addition, the government’s weak implementation of the guarantee policy for the implementation of combination of school and enterprise education, coupled with the lack of relevant laws and regulations, rarely leads to the success and enthusiasm of combination of school and enterprise education.With the development of collaborative training companies, the participation rate needs to be improved, and the influence of school-enterprise colearning is not significant enough.Therefore, we should do more theoretical research on combination of school and enterprise education, so as to further improve the present situation of combination of school and enterprise education in china and promote the in-depth development of combination of school and enterprise education.At the same time, we should constantly improve relevant practices and systems, improve relevant laws and regulations, learn from the successful experience of cooperation between schools and enterprises training at home and abroad, and design a unique path of cooperation between schools and enterprises in combination with china’s reality.First of all, this paper deeply analyzes the synergy degree of combination of school and enterprise education.By defining the concepts of the combination of industry and teaching and the combination of colleges and enterprises, synergy degree, and cooperative development level, this paper makes an in-depth interpretation of the education and teaching of schools and enterprises.From the perspective of synergetic theory and interactive mechanism, school-enterprise cooperation needs to be strengthened.Secondly, the model is created through the analytic hierarchy process, in which the hierarchical model uses the 10/10-18/2 scaling method to form the classification matrix.Finally, this paper analyzes on the factors affecting the combination of school and enterprise education and puts forward some perfect countermeasures from three angles of government, school, and enterprise.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
CoySvM-(GeD): Coyote Optimization-Based Support Vector Machine Classifier for Cancer Classification Using Gene Expression Data

Cancer, by any means, is a significant cause of death worldwide.In the analysis of cancer disease, the classification of different tumor types is very important.This test initiates an attitude to the classification of cancer through the data in gene expression by modeling the support vector machine.Genetic material expression data of individual tumor types is designed by the svm classifier, which tends to increase the potential of genetic data.Feature selection has long been considered a practical standard since its introduction in the field, and numerous feature selection methods have been used in an effort to reduce the input dimension while enhancing the classification performance.The proposed optimization has pertained to the gene expression data that selects the fusion factors for the hybrid kernel function in the svm classifier and the genes as informative for cancer classification.The analysis of cancer classification is performed using colon cancer and breast cancer, and the performance of coy svm is tested by taking the measures as precision, recall, and f-measure, and it achieves 87.598%, 95.669%, and 98.088% for colon cancer in addition to 93.647%, 92.984%, and 95% for breast cancer.It shows the best performance due to its highest classification in selected measures than the conventional methods.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Bhavana, an Ayurvedic Pharmaceutical Method and a Versatile Drug Delivery Platform to Prepare Potentiated Micro-Nano-Sized Drugs: Core Concept and Its Current Relevance

Scholars of ancient ayurveda (indian system of medicine) were extremely reasonable and had strong scientific rationality in fundamental concepts, which are also applied to drug manufacture and therapy.Bhavana is a unique traditional method of transformation of raw material/substances into the drug by levigation or wet grinding of powdered drugs with juice/decoction/solution of plant, animal, or mineral origin.This method adds the unique capability of affecting the physicochemical and biological properties of a drug, making the drug quicker, augmented, and persistent action with minimal dose.Despite the fact that bhavana has a wide range of applications in ayurvedic pharmaceutics, there is only a limited amount of knowledge of its fundamental notions.A comprehensive review was performed on the core concepts of bhavana , alongside its possible pharmacotherapeutic effects and relevance in drug development, by probing ayurvedic claims in light of published pharmaceutical, analytical, and pharmacological reports.Various processes, such as thermo‐ and photochemistry, physicochemical reactions, and mechanic chemical changes, appear to occur during bhavana .

Journal: Bioinorganic Chemistry and Applications (2022)
Publication types: Review Article;
High-Throughput Screening and Molecular Dynamics Simulation of Natural Products for the Identification of Anticancer Agents against MCM7 Protein

Minichromosome maintenance complex component 7 (mcm7) belongs to the minichromosome maintenance family that is necessary for the initiation of eukaryotic dna replication.Overexpression of the mcm7 protein is linked to cellular proliferation and is accountable for critical malignancy in many cancers.Mechanistically, the suppression of mcm7 greatly lowers the cellular proliferation associated with cancer.Advances in immunotherapy have revolutionized treatments for many types of cancer.To date, no effective small molecular candidate has been found that can stop the advancement of cancer produced by the mcm7 protein.Here, we present the findings of methods that used a combination of structure-assisted drug design, high-throughput virtual screening, and simulations studies to swiftly generate lead compounds against mcm7 protein.In the current study, we designed efficient compounds that may combat all emerging cancer targeting the common mcm7 protein.For this objective, a molecular docking and molecular dynamics (md) simulation-based virtual screening of 29,000 npass library was carried out.As a consequence of using specific pharmacological, physiological, and admet criteria, four new prevailing compounds, npa000018, npa000111, npa00305, and npa014826, were successfully selected.The md simulations were also used for a time period of 50 ns to evaluate for stability and dynamics behavior of the compounds.Eventually, compounds npa000111 and npa014826 were found to be highly potent against mcm7 protein.According to our results, the selected compounds may be effective in treating certain cancer subtypes, for which additional follow-up experimental validation is recommended.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Gut Microbiota Variations between Henoch-Schonlein Purpura and Henoch-Schonlein Purpura Nephritis

In china, little is known regarding the differences between children with henoch-schonlein purpura (hsp) and henoch-schonlein purpura nephritis (hspn) concerning their gut microbiota.Methods.We recruited 25 children with hsp, 25 children with hspn, and 25 healthy children to investigate the differences.Fecal samples were collected and analyzed by sequencing the v3-v4 region of the 16s r rna gene.The diversity of the fecal gut microbiota was compared between the patient groups.Results.Rarefaction curves showed that the gut microbial diversity between the three groups differed significantly ( p = 0.0224 ).The top five most abundant gut microbial genera were bacteroides, faecalibacterium, prevotella, ruminococcaceae, and megamonas in children with hsp; bacteroides, faecalibacterium, prevotella, bifidobacterium, and ruminococcaceae in children with hspn; and bacteroides, prevotella, faecalibacterium, ruminococcaceae, and bifidobacterium in healthy children.Children with hsp had the lowest bifidobacterium abundance among the three groups ( p &lt; 0.05 ).Children with hspn had a lower abundance of akkermansia than children with hsp ( p &lt; 0.05 ), whereas children with hspn had a higher alistipes abundance than children with hsp ( p &lt; 0.05 ).Fecal microbial community composition did not differ significantly between groups (anosim, r = − 0.002 , p = 0.46 ).Despite the small sample size, our results indicate that children with hsp or hspn displayed dysbiosis of the gut microbiota.Conclusion.This study provides valuable insights that will benefit the development of future microbe-based therapies to improve clinical outcomes or prevent the incidence of hsp or hspn in children.

Journal: Gastroenterology Research and Practice (2022)
Publication types: Research Article;
Ferulic Acid Protects Endothelial Cells from Hypoxia-Induced Injury by Regulating MicroRNA-92a

&amp; aim.Ferulic acid (fa), the main effective ingredient in angelica sinensis, has been widely recognized as the cause of angiogenesis and proliferation of human umbilical vein endothelial cells (huvecs).This study is mainly aimed at investigating the effect of fa on the apoptosis of huvecs, which may play a key role in angiogenesis.Materials and methods.Cck-8 (cell counting kit-8), western blotting and annexin v-fitc/pi staining were used to detect cell viability and apoptosis after hypoxia stimulation.The level of micro rna-92 a (mi r-92 a) was detected by q rt-pcr..Then, the assays of flow cytometry and the annexin v/pi staining kit were applied to value the impact of fa on hypoxia-induced cell proliferation, cell cycle distribution, and apoptosis.Furthermore, the inhibitor and mimic of mi r-92a were also administrated to explore the role of mi r-92a in this process.Student’s t -test was used to explore the differences between two groups, while one-way analysis of variance (anova) was used to explore the differences between more than two groups.Results.The results showed that hypoxia stimulation significantly inhibited huvec viability and proliferation, such as remarkably decreasing the expression of cdk2, cdk4, and cyclin d1 in huvecs.The results of annexin v-fitc/pi apoptosis detection showed that hypoxia culture significantly induced huvec apoptosis, which indicated that hypoxia stimulation significantly inhibited viability and proliferation of huvecs but caused cell apoptosis and the expression of mi r-92a.Meanwhile, fa remarkably protected huvecs from hypoxia-induced inhibition of viability and proliferation, as well as the enhancement of apoptosis and mi r-92a expression.Furthermore, suppression of mi r-92a enhanced the protective effects of fa on hypoxia-induced huvecs, while activation of mi r-92a reversed those effects.Conclusion.Our study reported that fa preserved huvecs from hypoxia-induced injury via regulating mi r-92a, which facilitated the understanding of the protective capacity of fa in hypoxia-caused huvec injury.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Fast Recognition Method for Multiple Apple Targets in Complex Occlusion Environment Based on Improved YOLOv5

The mechanization and intelligentization of the production process are the main trends in research and development of agricultural products.The realization of an unmanned and automated picking process is also one of the main research hotspots in china’s agricultural product engineering technology field in recent years.The development of automated apple‐picking robot is directly related to imaging research, and its key technology is to use algorithms to realize apple identification and positioning.Aiming at the problem of false detection and missed detection of densely occluded targets and small targets by apple picking robots under different lighting conditions, two different apple recognition algorithms are selected based on the apple shape features to study the traditional machine learning algorithm: histogram of oriented gradients + support vector machine (hog + svm) and a fast recognition method for multiple apple targets in a complex occlusion environment based on improved you‐only‐look‐once‐v5 (yolov5).The first is the improvement of the csp structure in the network.Using parameter reconstruction, the convolutional layer (conv) and the batch normalization (bn) layer in the cbl (conv + bn + leaky_relu activation function) module are fused into a batch‐normalized convolutional layer conv_b.Subsequently, the ca (coordinate attention) mechanism module is embedded into different network layers in the improved designed backbone network to enhance the expressive ability of the features in the backbone network to better extract the features of different apple targets.Finally, for some targets with overlapping occlusions, the loss function is fine‐tuned to improve the model’s ability to recognize occluded targets.By comparing the recognition effects of hog + svm, faster rcnn, yolov6, and baseline yolov5 on the test set under complex occlusion scenarios, the f 1 value of this method was increased by 13.47%, 6.01%, 1.26%, and 3.63%, respectively, and the f 1 value of this method was increased by 19.36%, 13.07%, 1.61%, and 4.27%, respectively, under different illumination angles.The average image recognition time was 0.27 s faster than that of hog + svm, 0.229 s faster than that of faster rcnn, and 0.006 s faster than that of yolov6.The method is expected to provide a theoretical basis for apple‐picking robots to choose a pertinent image recognition algorithm during operation.

Journal: Journal of Sensors (2023)
Publication types: Research Article;
Exploring the Mechanism of Wenshen Huatan Quyu Decotion for PCOS Based on Network Pharmacology and Molecular Docking Verification

To identify the active chemical in wenshen huatan quyu decotion (whqd) and to explore its possible network interactions with the polycystic ovary syndrome (pcos).Methods.The traditional chinese medicine systematic pharmacology database and analysis platform (tcmsp) and the bioinformatics analysis tool for molecular mechanisms in chinese medicine (batman-tcm) were used to decompose compound formulations, detect active chemicals and their corresponding target genes, and then convert them into uni prot gene symbols.Meanwhile, pcos-related target genes were collected from gene cards to construct a protein-protein interaction (ppi) network, which was further analyzed by string online database.Gene ontology (go) functional analysis was also performed afterwards to construct the component-target gene-disease network to visualize the correlation between whqd and pcos.We then performed an in silico molecular docking study to validate the predicted relationships.Results.Whqd consists of 14 single drugs containing a total of 67 chemical components.216 genes were predicted as possible targets.123 of the 216 target genes overlapped with pcos.Go annotation analysis revealed that 1968 genes were associated with biological processes, 145 with molecular functions, and 71 with cellular components.Kegg analysis revealed 146 pathways involved ppi, and chemical-target gene-disease networks suggest that pgr, ar, adrb2, il-6, mapk1/8, esr1/2, chrm3, rxra, pparg, bcl2/bax, gabra1, and nr3c2 may be key genes for the pharmacological effects of whqd on pcos.Molecular docking analysis confirmed that hydrogen bonding was the main interaction between whqd and its targets.Conclusion.Whqd exerts its pharmacological effects by improving insulin sensitivity, subfertility, and hormonal imbalance, increasing ovulation rates, which in turn may increase pregnancy rates in patients with significant efficacy.

Journal: Stem Cells International (2022)
Publication types: Research Article;
Evaluation Analysis and Key Index System Construction of Urban Public Management Service Quality Based on Grey Judgment Method

The development of today’s society has entered an era dominated by technology and efficiency, leading enterprises and governments to overemphasize the role of efficiency in the process of rapid development, while ignoring the fundamental goal of social development.The degree of urbanization has increased significantly, but the problems existing in the city are becoming more and more serious, especially the neglect of public services, which has caused great dissatisfaction.This paper firstly compares and synthesizes the performance of several methods to obtain that the grey judgment method is more suitable for this paper; that is, the grey judgment method is used to analyze the evaluation of urban public management service quality and to construct the key index system.The two-level indicators are all in line with the standard after screening the indicators by the method; the first-level indicators have the largest weight in the assess of the quality of urban common management services, and equipment management is considered to be the most important, followed by cultural construction, emergency management, greening management, and sanitation management; among the secondary indicators, the public health portfolio has the largest weight value, with a combined weight of 0.0989, followed by timely maintenance, quality of green vegetation, accident treatment, water and sewage treatment, natural disaster treatment, maintenance quality, garbage disposal, daily maintenance, the quality of cultural facilities, the daily maintenance of greening, and the quality of cultural activities; experts scored the indicators to get the highest score for equipment management, with a score of 0.7799, followed by emergency management, sanitation management, greening management, and cultural construction.By examining the quality of urban public services, it can more respond to the needs of national for public serving, and it can more effectively facilitate the future growth of the town and improve the overall level of community services.

Journal: Journal of Sensors (2022)
Publication types: Research Article;