syedzayyan/paper_mill_benchmark huggingface dataset:
Blockchain-Based Intelligent Interconnection System Optimization Decision

This article conducts a comprehensive analysis of the relevant content of blockchain; blockchain is a new field that has only emerged in recent decades, and it has a high level of new energy that cannot be compared with other fields.This article proposes the advantages and disadvantages of blockchain and the current factors that trigger network security defense.A multimicrogrid customer transaction system under the blockchain technology is also proposed.We will illustrate the compatibility between multimicrogrid and blockchain, which is self-adaptive and can be adjusted in time with market changes.Third, in order to ensure the normal operation of the distribution network, a smart contract dynamic constraint scheme is designed for power flow constraints and voltage offset problems.Multimicrogrid system as energy interconnection research on multiagent competitive game on multimicrogrid system is crucial to the development of energy internet technology.Blockchain-based decision-making systems exist based on a comprehensive analysis of the needs and interests of microgrid operators, large users, and distributed aggregators.For the complex problem of multimicrogrid system competition game model, a suitable solution method (iaco) is proposed.The model and solution algorithm established by the experiment are accurately analyzed, and the simulation result is that the optimal electricity price strategy in the subdivision field can effectively balance the interests of different market players and achieve win-win and coordinated development.Experiments show that iaco can deal with the multiple problems of blockchain.

Journal: Security and Communication Networks (2022)
Publication types: Research Article;
Application of Deep Learning Algorithm in Web Page Advertising Design Style

With the development of deep learning algorithm in internet web pages and customers’ demand for web advertising design, different businesses begin to pay attention to web advertising design style.In order to predict and promote the development of web advertising design style, this paper studies the establishment process of web design model based on deep learning algorithm in detail.With the application of this model to the web advertising design of different businesses, this paper compares and analyzes the differences of web advertising design styles of different businesses and puts forward corresponding suggestions on web advertising design styles, which promotes the diversified development of web advertising design styles to a certain extent and has a good application effect.

Journal: Security and Communication Networks (2022)
Publication types: Research Article;
A Review of Bile Acid Metabolism and Signaling in Cognitive Dysfunction-Related Diseases

Bile acids are commonly known as one of the vital metabolites derived from cholesterol.The role of bile acids in glycolipid metabolism and their mechanisms in liver and cholestatic diseases have been well studied.In addition, bile acids also serve as ligands of signal molecules such as fxr, tgr5, and s1pr2 to regulate some physiological processes in vivo.Recent studies have found that bile acids signaling may also play a critical role in the central nervous system.Evidence showed that some bile acids have exhibited neuroprotective effects in experimental animal models and clinical trials of many cognitive dysfunction-related diseases.Besides, alterations in bile acid metabolisms well as the expression of different bile acid receptors have been discovered as possible biomarkers for prognosis tools in multiple cognitive dysfunction-related diseases.This review summarizes biosynthesis and regulation of bile acids, receptor classification and characteristics, receptor agonists and signaling transduction, and recent findings in cognitive dysfunction-related diseases.

Journal: Oxidative Medicine and Cellular Longevity (2022)
Publication types: Review Article;
A Retrospective Study on the Efficacy of Two Different Rehabilitation Interventions on KOA: Shock Wave Therapy vs. Electroacupuncture Therapy

In this paper, we retrospectively reviewed the difference in clinical effectiveness of shock wave therapy and electroacupuncture therapy on knee osteoarthritis.Methods .A total of 128 treatment cases of knee osteoarthritis patients were extracted from the medical record system of shenzhen longhua district central hospital during the period from january 1, 2018, to january 30, 2020.The cases were divided into three groups for different treatments: shock wave group ( n = 54), electroacupuncture group ( n = 41), and control group ( n = 33).The shock wave group was given shock wave therapy combined basis clinical treatment; meanwhile, the electroacupuncture group was given electroacupuncture on the basis of actual clinical treatment.The control group was given conventional topical nonsteroidal anti‐inflammatory drugs (voltaren).Osteoarthritis index scale, nrs scale, and whoqol‐bref were observed before treatment, after 2 weeks, and 4 weeks after treatment.Results .This study found that the osteoarthritis index scale and nrs scale of the shock wave group and the electroacupuncture group were lower than those before treatment; it had significant difference ( p &lt; 0.001).In whoqol‐bref, the shock wave group and the electroacupuncture group improved significantly four weeks after treatment ( p &lt; 0.001), which was statistically different from the conventional group ( p = 0.04).Conclusion .Physical and rehabilitation medicine treatment (shock wave therapy) and traditional medical treatment (electroacupuncture) have better clinical effects on knee osteoarthritis, compared with conventional treatment.Shock wave and electric acupuncture have no apparent adverse reaction, suggesting that the treatment is safe and effective.

Journal: BioMed Research International (2021)
Publication types: Research Article;
A Pharmacological Review of Tanshinones, Naturally Occurring Monomers from Salvia miltiorrhiza for the Treatment of Cardiovascular Diseases

Cardiovascular diseases (cvds) are a set of heart and blood vessel disorders that include coronary heart disease (chd), rheumatic heart disease, and other conditions.Traditional chinese medicine (tcm) has definite effects on cvds due to its multitarget and multicomponent properties, which are gradually gaining national attention.Tanshinones, the major active chemical compounds extracted from salvia miltiorrhiza, exhibit beneficial improvement on multiple diseases, especially cvds.At the level of biological activities, they play significant roles, including anti-inflammation, anti-oxidation, anti-apoptosis and anti-necroptosis, anti-hypertrophy, vasodilation, angiogenesis, combat against proliferation and migration of smooth muscle cells (smcs), as well as anti-myocardial fibrosis and ventricular remodeling, which are all effective strategies in preventing and treating cvds.Additionally, at the cellular level, tanshinones produce marked effects on cardiomyocytes, macrophages, endothelia, smcs, and fibroblasts in myocardia.In this review, we have summarized a brief overview of the chemical structures and pharmacological effects of tanshinones as a cvd treatment to expound on different pharmacological properties in various cell types in myocardia.

Journal: Oxidative Medicine and Cellular Longevity (2023)
Publication types: Review Article;
A Network Pharmacology Method Combined with Molecular Docking Verification to Explore the Therapeutic Mechanisms Underlying Simiao Pill Herbal Medicine against Hyperuricemia

Hyperuricemia (hua) is a common metabolic disease caused by disordered purine metabolism.We aim to reveal the mechanisms underlying the anti‐hua function of simiao pill and provide therapeutic targets.Methods .Simiao pill‐related targets were obtained using herbal ingredients’ targets (hit), traditional chinese medicine systems pharmacology (tcmsp), and traditional chinese medicine integrated database (tcmid).Hua‐associated targets were retrieved from gene cards, dis ge net, and therapeutic targets database (ttd).Protein‐protein interaction (ppi) network was constructed using the search tool for the retrieval of interacting genes/proteins (string) database, ggraph and igraph r packages.Gene ontology (go) and kyoto encyclopedia of genes and genomes (kegg) analyses were performed using cluster profiler.The top 10 core targets were identified through cyto hubba.Molecular docking was conducted using py mol and auto dock high‐performance liquid chromatograph (hplc) analysis was performed to identify effective compounds of simiao pill.Results .Simiao pill‐hua target network contained 80 targets.The key targets were mainly involved in inflammatory responses.Insulin (ins), tumor necrosis factor (tnf), interleukin‐6 (il6), interleukin 1 beta (il1b), vascular endothelial growth factor a (vegfa), leptin (lep), signal transducer and activator of transcription 3 (stat3), c‐c motif chemokine ligand 2 (ccl2), interleukin‐10 (il10), and toll like receptor 4 (tlr4) were the top 10 targets in the ppi network.Go analysis demonstrated the main implication of the targets in molecular responses, production, and metabolism.Kegg analysis revealed that simiao pill might mitigate hua through advanced glycation end‐product‐ (age‐) receptor for age‐ (rage‐) and hypoxia‐inducible factor‐1‐ (hif‐1‐) associated pathways.Il1b, il6, il10, tlr4, and tnf were finally determined as the promising targets of simiao pill treating hua.Through molecular docking and hplc analysis, luteolin, quercetin, rutaecarpine, baicalin, and atractylenolide i were the main active compounds.Conclusions .Simiao pill can mitigate hua by restraining inflammation, mediating age‐rage‐ and hif‐1‐related pathways, and targeting il1b, il6, il10, tlr4, and tnf.

Journal: BioMed Research International (2023)
Publication types: Research Article;
A Multi-Thresholding-Based Discriminative Neural Classifier for Detection of Retinoblastoma Using CNN Models

Cancer is one of the vital diseases which lead to the uncontrollable growth of the cell, and it affects the body tissue.A type of cancer that affects the children below five years and adults in a rare case is called retinoblastoma.It affects the retina in the eye and the surrounding region of eye like the eyelid, and sometimes, it leads to vision loss if it is not diagnosed at the early stage.Mri and ct are widely used scanning procedures to identify the cancerous region in the eye.Current screening methods for cancer region identification needs the clinicians’ support to spot the affected regions.Modern healthcare systems develop an easy way to diagnose the disease.Discriminative architectures in deep learning can be viewed as supervised deep learning algorithms which use classification/regression techniques to predict the output.A convolutional neural network (cnn) is a part of the discriminative architecture which helps to process both image and text data.This work suggests the cnn‐based classifier which classifies the tumor and nontumor regions in retinoblastoma.The tumor‐like region (tlr) in retinoblastoma is identified using the automated thresholding method.After that, res net and alex net algorithms are used to classify the cancerous region along with classifiers.In addition, the comparison of discriminative algorithm along with its variants is experimented to produce the better image analysis method without the intervention of clinicians.The experimental study reveals that res net50 and alex net yield better results compared to other learning modules.

Journal: BioMed Research International (2023)
Publication types: Research Article;
A Diagnostic Scoring System for Distinguishing between Tuberculous and Bacterial Meningitis Based on Clinical and Laboratory Findings

It is very difficult to diagnose and distinguish tuberculous meningitis, and the current laboratory methods are unsubstantial in developing countries.The study is aimed at creating a scoring system on the basis of basic laboratory and clinical achievements that could be used as diagnostic aid for tuberculous meningitis for chinese patients.A retrospective study of cases was conducted for comparison between clinical characteristics and laboratory features of 241 patients on admission who conformed to inclusion criteria of tuberculous meningitis ( n = 141) or bacterial meningitis ( n = 100).Logistic regression was employed to establish a diagnostic formula to distinguish between tuberculous meningitis and bacterial meningitis.The receiver operating characteristic curve analysis was applied to determine the best diagnostic critical point of the diagnostic formula.It was found that five variables (disease course, white blood cell count, serum sodium, total white cell count of cerebrospinal fluid, and neutrophil proportion in cerebrospinal fluid) were independently associated with tuberculous meningitis.The 87% sensitivity and 94% specificity were included in the diagnostic scoring system derived from these variables.Especially in the case of limited microbial resources, doctors can use this diagnostic scoring system to distinguish tuberculous meningitis from bacterial meningitis.

Journal: BioMed Research International (2021)
Publication types: Research Article;
A Comprehensive Review of Performance of Next-Generation Sequencing Platforms

Next‐generation sequencing methods have been developed and proposed to investigate any query in genomics or clinical activity involving dna.Technical advancement in these sequencing methods has enhanced sequencing volume to several billion nucleotides within a very short time and low cost.During the last few years, the usage of the latest dna sequencing platforms in a large number of research projects helped to improve the sequencing methods and technologies, thus enabling a wide variety of research/review publications and applications of sequencing technologies.Objective .The proposed study is aimed at highlighting the most fast and accurate ngs instruments developed by various companies by comparing output per hour, quality of the reads, maximum read length, reads per run, and their applications in various domains.This will help research institutions and biological/clinical laboratories to choose the sequencing instrument best suited to their environment.The end users will have a general overview about the history of the sequencing technologies, latest developments, and improvements made in the sequencing technologies till now.Results .The proposed study, based on previous studies and manufacturers’ descriptions, highlighted that in terms of output per hour, nanopore prometh ion outperformed all sequencers.Bgi was on the second position, and illumina was on the third position.Conclusion .The proposed study investigated various sequencing instruments and highlighted that, overall, nanopore prometh ion is the fastest sequencing approach.Bgi and nanopore can beat illumina, which is currently the most popular sequencing company.With respect to quality, ion torrent ngs instruments are on the top of the list, illumina is on the second position, and bgi dnb is on the third position.Secondly, memory‐ and time‐saving algorithms and databases need to be developed to analyze data produced by the 3 rd ‐ and 4 th ‐generation sequencing methods.This study will help people to adopt the best suited sequencing platform for their research work, clinical or diagnostic activities.

Journal: BioMed Research International (2022)
Publication types: Review Article;
Upregulating hsa-miR-128a Increased the Effects of Pembrolizumab on Laryngeal Cancer Cells via the p53 Pathway

S.Recently, immunotherapy and micro rna have shown much more promises in oncology research, inspiring new hope for a cure for various malignancies.Specifically, the function and mechanisms of action of pembrolizumab have been investigated in many cancers, but not in laryngeal squamous cell carcinoma.The present study thus focused on the effect of hsa‐mi r‐128a on pembrolizumab in laryngeal cancer cells as well as tried to elucidate the mechanisms that may mediate this effect.Methods.Hep2 and amc‐hn8 cell lines were utilized to create stable cell lines that overexpressing hsa‐mi r‐128a.Using the immunotherapy assay, the contribution of hsa‐mi r‐128a to pembrolizumab sensitivity was evaluated.By performing the dual luciferase assay and quantitative real‐time polymerase chain reaction, the possible mechanisms of hsa‐mi r‐128a were identified.Results.Hsa‐mi r‐128a was overexpressed in laryngeal cancer cell lines successfully.The immunotherapy assay revealed that upregulating hsa‐mi r‐128a augmented the effect of pembrolizumab.Moreover, hsa‐mi r‐128a targeted bmi‐1 and might played a role in the p53 pathway.Conclusion.Hsa‐mi r‐128a boosted the effect of pembrolizumab on laryngeal cancer cells, perhaps via the p53 pathway.Therefore, hsa‐mi r‐128a might be a novel target in laryngeal cancer treatment.

Journal: BioMed Research International (2021)
Publication types: Research Article;
The Impact of Seeding Density and Nitrogen Rates on Forage Yield and Quality of Avena sativa L

Green forage is an excellent feed source for livestock.It is an integral part of livestock production to accomplish the demands for butter, milk, and other derivatives for human utilization.Livestock contributes 11.39% towards the gross domestic product of pakistan and 58.33% in agricultural farming.Livestock face shortage or insufficient supply of green fodder during the winter season, which ultimately reduces milk yield.Oat ( avena sativa l.) is a major forage crop in the winter season; however, several biotic and abiotic factors negatively affect its yields.Low soil fertility, particularly nitrogen deficiency, is regarded as one of the few reasons responsible for the low forage yield of oat.Low organic matter content in the soil, suboptimal agronomic practices, and harsh climatic conditions are the other major reasons for low oat yield.Seed rate and different nitrogen rates significantly alter green forage yield and quality of oat.This study assessed the impact of different seeding densities and nitrogen (n) doses on the forage yield of oat.Three seeding densities (70, 80, and 90 kg ha -1 ) and five n doses (0, 40, 80, 120, and 160 kg ha -1 ) were included in the study.The interactive effect of seeding density and n doses significantly altered green forage yield and quality attributes of oat.The highest green forage yield (54.67 t ha -1 ) was noted for the interaction among 90 kg seed rate ha -1 and 160 kg n ha -1 .Similarly, the highest germination count (140 m -2 ), number of tillers (5.97 m -2 ), plant height (122.97 cm), number of leaves per plant (24.50 m -2 ), leaf area per tiller (123.18 cm 2 ), fresh weight (5.47 kg m -2 ), dry weight (1692 g m -2 ), dry matter yield (20.90 t ha -1 ), crude protein (10.54%), crude fiber (31.62%), and total ash (9.39%) were recorded for the interactive effect of 90 kg seed rate ha -1 and 160 kg n ha -1 .Economic analysis revealed that interaction between 90 kg seed rate ha -1 with 120 and 160 kg n ha -1 was superior to others with higher benefit: cost ratio and net economic returns.It is recommended that the oat seed rate of forage oat crop must be kept at 90 kg ha -1 and it should be supplied 120 kg n ha -1 for higher yield, better quality, and more economic returns.

Journal: BioMed Research International (2022)
Publication types: Research Article;
Identification of RPS7 as the Biomarker of Ferroptosis in Acute Kidney Injury

This paper aims to explore novel ferroptosis‐related biomarkers for acute kidney injury (aki).Methods .Various bioinformatic methods, such as differential expression analysis, functional annotation analysis, machine learning, and chemical‐gene network analysis, were used in this study.Furthermore, the expression and proferroptotic role of rps7 were validated with further bioinformatics analysis and biochemical experiments.Results .Gse30718 dataset and gse139061 dataset were used, and the differentially expressed genes (degs) were screened.The degs were overlapped with ferroptosis‐related genes and genes associated with aki, which led to the identification of four candidate genes.Machine learning and roc curve analysis were conducted, and rps7 and trib3 were selected for diagnostic model analysis and functional analysis.Finally, the upregulation of rsp7 in cisplatin‐induced aki was validated in cisplatin‐induced aki, and its proferroptotic role was confirmed in cisplatin‐treated proximal tubular cells.Conclusion .Our results indicated that rps7 might present as a novel ferroptosis‐related biomarker for aki, and it derived ferroptosis to accentuate cisplatin‐induced aki.

Journal: BioMed Research International (2022)
Publication types: Research Article;
Gene Differential Expression and Interaction Networks Illustrate the Biomarkers and Molecular Biological Mechanisms of Unsaponifiable Matter in Kanglaite Injection for Pancreatic Ductal Adenocarcinoma

Kanglaite injection (klti) has shown good clinical efficacy in the treatment of pancreatic ductal adenocarcinoma (pdac).While previous studies have demonstrated the antitumor effects of the oil compounds in klti, it is unclear whether the unsaponifiable matter (usm) also has antitumor effects.This study used network pharmacology, molecular docking, and database verification methods to investigate the molecular biological mechanisms of usm.Methods .Compounds of usm were obtained from gc‐ms, and targets from drug bank.Next, the geo database was searched for differentially expressed genes in cancerous tissues and healthy tissues of pdac to identify targets.Subsequently, the protein‐protein interaction of usm and pdac targets was constructed by biso genet to extract candidate genes.The candidate genes were enriched using go and kegg by metascape, and the gene‐pathway network was constructed to screen the key genes.Molecular docking and molecular dynamic simulations of core compound targets were finally performed and to explore the diagnostic, survival, and prognosis value of targets.Results .A total of 10 active compounds and 36 drug targets were screened for usm, 919 genes associated with pdac, and 139 usm candidate genes against pdac were excavated.The enrichment predicted usm by acting on rela , nfkb1 , ikbkg , jun , mapk1 , tp53 , and akt1 .Molecular docking and dynamic simulations confirmed the screened core targets had good affinity and stability with the corresponding compounds.In diagnostic roc validation, the above targets have certain accuracy for diagnosing pdac, and the combined diagnosis is more advantageous.As the most diagnostic value of rela , it is equally significant in predicting disease‐specific survival and progression‐free interval.Conclusions .Usm in klti plays an anti‐pdac role by intervening in the cell cycle, inducing apoptosis, and downregulating the nf‐ κ b, mapk, and pi3k‐akt pathways.It might participate in the pancreatic cancer pathway, and core target groups have diagnostic, survival, and prognosis value biomarker significance.

Journal: BioMed Research International (2022)
Publication types: Research Article;