syedzayyan/paper_mill_benchmark huggingface dataset:
Long noncoding RNA HEIH depletion depresses esophageal carcinoma cell progression by upregulating microRNA-185 and downregulating KLK5

Numerous studies have reported the association of long non-coding rnas (lnc rnas) in cancers, yet the function of lnc rna high expressed in hepatocellular carcinoma (heih) in esophageal carcinoma (ec) has seldom been explored.Here, we aimed to explore the mechanism of heih on ec via micro rna-185 (mi r-185)/kallikrein-related peptidase 5 (klk5) modulation.Cancer and non-tumoral tissues were collected, in which heih, mi r-185 and klk5 expression were detected, as well as their correlations.Also, the relation between the prognosis of ec patients and heih/mi r-185/klk5 expression was clarified.Ec cells (kyse-30 and te-1) were screened for subsequent gain- and loss-of-function assays and their biological functions were further monitored.Tumor volume and weight in ec mice were also measured.Results from this study indicated that heih and klk5 were elevated and mi r-185 was declined in ec.The positive correlation was seen in heih and klk5 expression, while the negative correlation was observed in heih or klk5 and mi r-185 expression.High heih and klk5 indicated worse prognosis and high mi r-185 suggested better prognosis of ec patients.Depleting heih or restoring mi r-185 suppressed the malignant phenotypes of ec cells, and delayed tumor growth in ec mice.Heih was found to bind with mi r-185 to regulate klk5 expression.Overexpressing klk5 alone promoted ec cell progression while up-regulating mi r-185 reversed such effects on ec cells.Collectively, we reveal that heih depletion dampens ec progression by upregulating mi r-185 and downregulating klk5, which provides novel treatments for ec.

Journal: Cell Death & Disease (2020)
Publication types: Research Article;
Promoting Competitiveness of Green Brand of Agricultural Products Based on Agricultural Industry Cluster

Agricultural industrial clusters are the basis for the formation of regional brands of agricultural products and also an effective way to enhance the regional brand value and competitiveness of agricultural products.Based on the agricultural industry cluster, carry out regional brand building of agricultural products, emphasizing that the production of agricultural products from raw material bases to product sales in specific administrative areas, and even the collaborative production services of relevant agricultural technology research and development institutions are connected to the local network, establishing a regional first-class agricultural product brand.The brand grows with the development of regional production bases.Therefore, this paper is aimed at exploring the research on the promotion of green brand competitiveness of agricultural products based on the theory of agricultural industrial clusters, analyzing the internal connection between agricultural product agglomeration effect and brand competitiveness, and exploring its advantages and disadvantages.Using this strategy, this paper will use the research method of specific analysis of specific problems, design an analysis model construction experiment based on the influencing factors of agricultural industrial clusters, and draw experimental conclusions through the analysis and comparison of experimental data.Through theoretical innovation and exploration, a model for the rapid development of green agricultural product brands can be found.The results show that the use of questionnaires to explore the differences in the planting characteristics of green agricultural products in industrial clusters can account for 35% of the brand competitiveness, promote the rapid development of the brand, and enhance the technological innovation ability by 19%.Therefore, combined with the characteristics of the current era, with the help of the national agricultural aid policy, fully absorb the transformation, actively innovate, and improve the level of agricultural cultivation.Analyze different application difficulties, explore development prospects, give full play to the competitiveness of agricultural products, realize high-yield green crops, use these theories as a guide to innovate and integrate, provide valuable experience clusters for the wide application of agricultural industrialization, and achieve sustainable regional economic structure and ecological environment.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
Optimization and Simulation of Farmland Protection Dynamic Monitoring System Based on Internet of Things Technology

Based on the status quo of cultivated land, this paper analyzes the existing problems and builds a dynamic monitoring system for cultivated land protection.It works by using the internet of things technology and geographic and national conditions to realize the systematization, informatization, and socialization of cultivated land protection, thereby promoting the sustainable development of cultivated land and social stability and harmony.This paper puts forward relevant countermeasures and suggestions for the protection of cultivated land.This paper constructs the farmland protection dynamic monitoring system, proposes the goals of the system construction, points out the ideas of the system construction, and designs and analyzes the key points of the system composition.The system includes seven subsystems, and the functions and specific contents of the subsystems are explained, respectively, to build the entire system.Then, we put forward the financial, technical, and implementation problems of the system, and find out countermeasures, expand the system research, propose the development of the dynamic monitoring system of cultivated land protection in the direction of intelligence and convenience, and expand the application to food safety and disasters.In terms of forecasting, comprehensive evaluation of the existence and operation of the system is carried out by designing evaluation indicators and weights for the operation of the system.

Journal: Wireless Communications and Mobile Computing (2021)
Publication types: Research Article;
Icon Art Design with Generative Adversarial Network under Deep Learning

With the rapid development of the internet, application interface design has undergone rapid changes.Numerous new design styles and resources have appeared; thus, a large number of interface icon design needs have been generated.Icons are quite different from ordinary photographed images, because they are all drawn by designers and have certain schematic and artistic features.Moreover, artistic icons can convey their drawn characteristics and meanings faster and better than captured images.The ideation process in icon design is time-consuming, and its design style and method of drawing are influenced by the device and the environment in which it is used.To simplify the process of icon design and enrich the creativity of icon conception, this study proposes to use the generative adversarial network technology in deep learning to train computers to generate artistic icons.This paper completes the construction of the icon generation model with generative adversarial network (gan) model combined with the actual icon design process.For the problem of automatic icon generation, this paper does the following research work: (1) based on the conditional classification generative adversarial network, a multifeature icon generation model (mfigm) is proposed.In the discriminator, a multifeature identification module is added to optimize the structure of the conditional feature to ensure that the icon generated by the model meets the given conditional feature.(2) experiments on the icon dataset show that the mfigm-based icon generation model proposed in this paper has better performance in designing various feature expressions of icons.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
Prediction and Analysis of Autism Spectrum Disorder Using Machine Learning Techniques

Autism spectrum disorder is a severe, life‐prolonged neurodevelopmental disease typified by disabilities that are chronic or limited in the development of socio‐communication skills, thinking abilities, activities, and behavior.In children aged two to three years, the symptoms of autism are more evident and easier to recognize.The major part of the existing literature on autism spectrum disorder is covered by a prediction system based on traditional machine learning algorithms such as support vector machine, random forest, multiple layer perceptron, naive bayes, convolution neural network, and deep neural network.The proposed models are validated by using performance measurement parameters such as accuracy, precision, and recall.In this research, autism spectrum disorder prediction has been investigated and compared using common parameters such as application type, simulation method, comparison methodology, and input data.The key purpose of this study is to give a centralized framework to use for researchers working on autism spectrum disorder prediction.The best results were obtained by using the random forest algorithm as it performs better than other traditional machine learning algorithms.The achieved accuracy is 89.23%.The workflow representations of the investigated frameworks assist readers in comprehending the fundamental workings and architectures of these frameworks.

Journal: Journal of Healthcare Engineering (2023)
Publication types: Research Article;
IoT-Based Technological Framework for Inhibiting the Spread of COVID-19: A Pandemic Using Machine Learning and Fuzzy-Based Processes

The covid-19 infestation has resulted in the loss of the lives of millions of people and the destruction of commercial, communal, and healthcare systems around the world.To control these kinds of pandemics, complete knowledge of the traits and responses to the disease is required, and this knowledge can be gathered using various computational methods.These computational techniques can be very helpful in information building required for taking appropriate action timely and applying preventive mechanisms.Although there are numerous computational approaches that the researchers are applying over the past few months, there is a need to re-evaluate and compare these available techniques for finding out the best technique that can help reduce the extent of covid-19.Hence, in this paper, we carried out a literature review to emphasize the assistance of various computational approaches around covid-19.The paper presents a categorization of approaches such as multicriteria decision-making, fuzzy ahp, machine learning, neural network, and data science that have been used to deal with the epidemic.Furthermore, this study discusses various challenges experienced when accessing the covid-19 data.The conclusions of the paper propose the best computational approach among all to be appraised for future investigations and implementations.

Journal: Security and Communication Networks (2022)
Publication types: Research Article;
EV71 virus reduces Nrf2 activation to promote production of reactive oxygen species in infected cells

Background emerging evidence closely links enterovirus 71 (ev71) infection with the generation of reactive oxygen species (ros).Excess ros results in apoptosis and exacerbates inflammatory reactions.The keap1–nrf2 axis serves as an essential oxidant counteracting pathway.Methods the present study aimed to elucidate the role of the keap1–nrf2 pathway in modulating apoptosis and inflammatory reactions triggered by oxidative stress in vero and rd cells upon ev71 infection.Results elevated ros production was identified in ev71 infected vero and rd cells.The percentage of dead cells and expression of inflammation-promoting cytokines were increased in these cells.Ev71 infected cells also displayed reinforced keap1 expression and abrogated nrf2 expression.Keap1 silencing resulted in the downstream aggregation of the nrf2 protein and heme oxygenase-1 ho-1.Keap1 silencing repressed ubiquitination and reinforced nrf2 nuclear trafficking.Furthermore, silencing keap1 expression repressed ros production, cell death, and inflammatory reactions in ev71 infected rd and vero cells.In contrast, silencing of both keap1 and nrf2 restored ros production, cell death, and inflammatory reactions.Nrf2 and keap1 modulated the stimulation of the akt sensor and extrinsic as well as intrinsic cell death pathways, resulting in ev71-triggered cell death and inflammatory reactions.Conclusions ev71 infection can trigger ros production, cell death, and inflammatory reactions by modulating the nrf2 and keap1 levels of infected cells.

Journal: Gut Pathogens (2020)
Publication types: Research Article;
The BET inhibitor I-BET762 inhibits pancreatic ductal adenocarcinoma cell proliferation and enhances the therapeutic effect of gemcitabine

As one of the most fatal malignancies, pancreatic ductal adenocarcinoma (pdac) has significant resistance to the currently available treatment approaches.Gemcitabine, the standard chemotherapeutic agent for locally advanced and metastatic pdac, has limited efficacy, which is attributed to innate/acquired resistance and the activation of prosurvival pathways.Here, we investigated the in vitro efficacy of i-bet762, an inhibitor of the bromodomain and extraterminal (bet) family of proteins, in treating pdac cell lines alone and in combination with gemcitabine (gem).The effect of these two agents was also examined in xenograft pdac tumors in mice.We found that i-bet762 induced cell cycle arrest in the g0/g1 phase and cell death and suppressed cell proliferation and metastatic stem cell factors in pdac cells.In addition, the bh3-only protein bim, which is related to chemotherapy resistance, was upregulated by i-bet762, which increased the cell death triggered by gem in pdac cells.Moreover, gem and i-bet762 exerted a synergistic effect on cytotoxicity both in vitro and in vivo .Furthermore, bim is necessary for i-bet762 activity and modulates the synergistic effect of gem and i-bet762 in pdac.In conclusion, we investigated the effect of i-bet762 on pdac and suggest an innovative strategy for pdac treatment.

Journal: Scientific Reports (2018)
Publication types: Research Article;
Continuous Blood Purification Ameliorates Multiple Organ Failure Through Inhibiting the Activation of the P38 MAPK Signaling Pathway in a Rat Model

Multiple organ failure (mof) is a primary threat to the survival of patients with systemic inflammation.Blood purification is employed in the treatment of mof, as an artificial kidney or artificial liver.This study focuses on the effects of continuous blood purification (cbp) on ameliorating mof through regulating the p38 mitogen-activated protein kinase (mapk) signaling pathway in a rat model.Methods: a rat model of mof was successfully established by endotoxin injection after hemorrhagic shock resuscitation.The m rna expressions of inducible nitric oxide synthase (i nos) and p38 mapk of liver, kidney, and lung tissues in each group were measured by rt-q pcr at each measuring time point.To evaluate the activation of p38 mapk signaling pathway, protein levels of phosphorylated p38 (p-p38) mapk and p38 mapk was measured by western blot analysis.The serum levels of nitric oxide and tnf-α were determined.Results: after cbp treatment, the levels of sgpt, sgot, cr, and bun were significantly declined, while the pa o2 value was increased.Expressions of p38 mapk m rna, i nos m rna, p-p38 mapk protein and p38 mapk protein, and nitric oxide and tnf-α levels were markedly elevated in mof, an effect blunted by cpb.Meanwhile, pathological sections of liver, kidney, and lung tissues after cpb treatment ameliorated swelling and inflammation.Conclusion: our study proved that cbp could downregulate the p38 mapk signaling pathway, suppress i nos expression, reduced the serum levels of nitric oxide and tnf-α, thus ameliorate symptom of mof.

Journal: Kidney and Blood Pressure Research (2018)
Publication types: Research Article;
Systematic review and meta-analysis of the epidemiology of Vancomycin-resistance Staphylococcus aureus isolates

Background vancomycin‐resistant staphylococcus aureus (vrsa) is a serious public health challenging concern worldwide.Objectives therefore, the objective of present study of 62 published studies was to evaluate the prevalence of vrsa based on different years, areas, isolate source, antimicrobial susceptibility testing, and the genetic determinants.Methods we searched the relevant articles that focused on the prevalence rates of vrsa in pub med, scopus, embase, and web of science from 2000 to 2019.Statistical analyses were conducted using stata software (version 14.0).Results the prevalence of vrsa was 2% before 2006, 5% in 2006–2014, and 7% in 2015–2020 that showed a 3.5-fold increase in the frequency of vrsa between before 2006 and 2020 years.The prevalence of vrsa was 5% in asia, 1% in europe, 4% in america, 3% in south america, and 16% in africa.The frequencies of vrsa isolated from clinical, non-clinical, and mixed samples were 6%, 7%, and 14%, respectively.The prevalence of vrsa was 12% using disk diffusion agar method, 7% using mic-base methods, and 4% using mixed-methods.The prevalence of van a, van b , and van c1 positive were 71%, 26%, and 4% among vrsa strains.The most prevalent genotype was staphylococcal cassette chromosomemec (scc mec ) ii, which accounted for 57% of vrsa.The most prevalent staphylococcal protein a ( spa ) types were t002, t030, and t037.Conclusion the prevalence of vrsa has been increasing in recent years particularly in africa/asia than europe/america.The most prevalent of genetic determinants associated with vrsa were van a and scc mec ii.This study clarifies that the rigorous monitoring of definite antibiotic policy, regular surveillance/control of nosocomial-associated infections and intensive surveillance of vancomycin-resistance are required for preventing emergence and further spreading of vrsa.

Journal: Antimicrobial Resistance & Infection Control (2021)
Publication types: Meta-Analysis;Review Article;
MicroRNA-325-3p inhibits cell proliferation and induces apoptosis in hepatitis B virusrelated hepatocellular carcinoma by downregulation of aquaporin 5

Background hepatitis b virus (hbv) infection is acknowledged as the main cause of hepatocellular carcinoma (hcc).Moreover, previous studies have revealed that micro rnas (mi rnas) widely participate in regulation of various cellular processes, such as viral replication.Hence, the purpose of this study was to investigate the roles of aquaporin 5 (aqp5) and mi r-325-3p in the proliferation and apoptosis of hbv-related hcc cells.Methods aqp5 and mi r-325-3p expression in both normal and hbv-hcc tissues or cells (both huh7–1.3 and hep g2.2.15) was detected using q rt-pcr.Aqp5 expression was knocked down in hbv-related huh7–1.3 and hep g2.2.15 cells using small interfering rna (si rna) technology.Down-regulation was confirmed using real-time pcr and western blot analysis.Effects of aqp5 down-regulation on the proliferation and apoptosis were assessed.Dual luciferase reporter gene assay, western blot and q rt-pcr were employed to evaluate the effect of mi r-325-3p on the luciferase activity and expression of aqp5.Moreover, mi r-325-3p mimic-induced changes in cellular proliferation and apoptosis were detected through cck-8 assay, brd u assay, flow cytometry analysis and elisa.Results in this study, the expression of aqp5 was up-regulated in human hbv-hcc tissue, huh7–1.3 and hep g2.2.15 cells.Knockdown of aqp5 significantly inhibited the proliferation and promoted apoptosis of hbv-hcc cells.Next, mi r-325-3p was obviously down-regulated in hbv-hcc.In concordance with this, mi r-325-3p directly targeted aqp5, and reduced both m rna and protein levels of aqp5, which promoted cell proliferation and suppressed cell apoptosis in hcc cells.Overexpression of mi r-325-3p dramatically inhibited cell proliferation and induced cell apoptosis.Conclusions our findings clearly demonstrated that introduction of mi r-325-3p inhibited proliferation and induced apoptosis of huh7–1.3 and hep g2.2.15 cells by directly decreasing aqp5 expression, and that silencing aqp5 expression was essential for the pro-apoptotic effect of mi r-325-3p overexpression on huh7–1.3 and hep g2.2.15 cells.It is beneficial to gain insight into the mechanism of hbv infection and pathophysiology of hbv-related hcc.

Journal: Cellular & Molecular Biology Letters (2019)
Publication types: Research Article;
Long noncoding RNA MALAT1 promotes the stemness of esophageal squamous cell carcinoma by enhancing YAP transcriptional activity

The tumor promoting roles of long noncoding rna (lnc rna) malat1 have been revealed in various cancers; however, its roles in esophageal squamous cell carcinoma (escc) have not previously been disclosed.In this study, we found that malat1 expression was remarkably increased in escc cells compared to normal human esophageal epithelial cells.In addition, knockdown of malat1 attenuated the stemness of escc cells, as evidenced by a decrease in spheroid formation capacity, stemness marker expression and aldehyde dehydrogenase 1 activity.Moreover, malat1 knockdown decreased the migration ability of escc cells.Notably, knockdown of malat1 enhanced the radiosensitivity and chemosensitivity of escc cells.We also established that malat1 binds directly to yes‐associated protein (yap), thereby enhancing yap protein expression and increasing yap transcriptional activity.Overexpression of yap partially rescued the effect of malat1 knockdown on stemness and radiosensitivity of escc cells.Overall, this study has identified that a novel malat1–yap axis promotes the stemness of escc cells, and thus could be a potential target for treatment of escc.

Journal: FEBS Open Bio (2019)
Publication types: Research Article;