syedzayyan/paper_mill_benchmark huggingface dataset:
Dexmedetomidine Combined with Low-Dose Propofol Declines Learning and Memory Impairment and Neural Cell Injury in Developing Rats

General anesthesia in early childhood may affect all aspects of neurodevelopment, resulting in learning and behavior defects.Therefore, there is an urgent need to find safe anesthetics or put forward more comprehensive anesthesia schemes to solve the negative effects caused by existing anesthetics.The objective of this study is to explore the impact of dexmedetomidine (dex) incorporated with low-dose propofol (pro) on learning and memory ability and neural cells in developing rats.Methods.Eighty sd rats were randomly divided into 4 groups including the sham group, lipid group, l-pro group, and dex + l-pro group.After treatment, the spatial learning and memory ability of rats in each group were assessed by the water maze test and the passive avoidance test.The damage of hippocampal tissues was assessed by nissl staining; the apoptosis, the levels of inflammatory factors, and the level of oxidative stress were measured by tunel staining, elisa, and biochemical assays, respectively.Besides, q rt-pcr and western blot determined the expression of apoptosis-related proteins, neurotrophic factors, and mapk signaling pathway-related proteins in the hippocampus.Results.Compared with the l-pro group, the dex + l-pro group had better spatial learning and memory ability.Administration of dex and l-pro greatly alleviated neural cell damage in the hippocampus and decreased the levels of il-6, il-1β, and tnf-α.Besides, it significantly decreased the content of ros and malondialdehyde (mda), glutathione (gsh), when up-regulating the levels of il-10, antioxidant superoxide dismutase (sod) and bdnf, receptor tyrosine kinase b (trk b), and neurotrophin-3 (nt-3) related to hearing function and significantly lower activity of mapk signaling pathway.Conclusion.Dex combined with low-dose pro can significantly inhibit inflammation, oxidative stress response, neuronal apoptosis, mapk signaling pathway activity and promote the secretion of neurokines in hippocampus to reduce neural cell damage and avoid the learning and memory impairment caused by anesthetics in developing rats.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Research on the Cultivation Path of Teenagers' Sports Health Literacy under the Background of Healthy China

Health literacy refers to an individual’s ability to acquire and understand health information and use it to maintain and promote his own health.In physical education, teenagers’ physical health literacy refers to teenagers improving their physical quality and comprehensive ability through physical training.The development of youth sports activities mainly depends on school physical education.Without the main channel of school physical education, it is difficult to achieve the strategic goal of improving youth health literacy.In order to effectively promote the cultivation of teenagers’ health literacy, it is necessary to establish a scientific and reasonable physical education system according to the cultivation characteristics of teenagers’ sports health literacy.Constantly strengthening the supervision of teenagers’ physical exercise and paying attention to cultivating teenagers’ sports habits are of great significance to the cultivation of teenagers’ sports health literacy and their future study and development.Based on this, this paper expounds and analyzes the concept, necessity, and training path of teenagers’ sports health literacy under the background of healthy china.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Investigations on the Changes of Serum Proteins in Rabbits after Trimeresurus stejnegeri Venom Injection via Mass Spectrometry-Based Proteomics

There are few studies on protein phosphorylation in the process of snake poisoning.The purpose of this study was to investigate the toxic mechanism of trimeresurus stejnegeri at the protein level by determining the differential expression of phosphorylated proteins in rabbits after poisoning using proteomics.Methods.The trimeresurus stejnegeri venom model in rabbits was established by intramuscular injection of 20 mg/kg venom.The serum was collected and the differential expression of phosphorylated proteins in the serum was determined by the i traq technology, ti o2 enriched phosphorylated peptides, and the mass spectrometry analysis.The functional analysis was conducted using clue go software and the related mechanism was evaluated by the network analysis of biological interaction.The expression level of related proteins was determined by the western blotting assay.Results.Compared to the control group, 77 differentially expressed proteins were observed in the model group.These proteins were closely associated with the complement and agglomerate cascade signaling pathways, the hif signaling pathway, the pentose phosphate pathway, and the cholesterol metabolism signaling pathway.According to the results of network analysis, tf and scl16a1 were determined as the core proteins, which were identified by the western blotting assay.Conclusion.The present study provided valuable phosphorylation signal transduction resources for investigating the toxic mechanism and the therapies for trimeresurus stejnegeri poisoning.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
CCL18 Knockdown Suppresses Cell Growth and Migration in Thyroid Cancer

Chemokine (c-c motif) ligand 18 (ccl18) is a chemokine that plays a key role in immune and inflammatory responses.In recent years, ccl18 participates in the development and progression of various cancers, but its expression and role in thyroid cancer (tc) remain unclear.Methods.Rt-q pcr assay and western blot assay were used to explore the expression level of ccl18 in tc tissues and cells.Cell proliferation was measured by mtt assay.Transwell assay was adopted to detect cell migration in tc cells.Dual luciferase reporter assay was performed to assess the relationship between ccl18 and mi r-149-5p.Results.There was an uptrend of ccl18 in tc tissues and cells.Our findings indicated that ccl18 overexpression facilitated lymph node metastasis in patients with tc.Ccl18 silencing was found to inhibit cell migration, proliferation, and emt progression in tc cells.Ccl18 was proved to be a target gene of mi r-149-5p.Additionally, mi r-149-5p weakened the effect of ccl18 in the progression of tc.Conclusion.Therefore, our results indicated that ccl18 knockdown restrained tc progression and suggested that ccl18 might be a potential therapeutic target for tc.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Design and In Vitro Evaluation of Novel Cationic Lipids for siRNA Delivery in Breast Cancer Cell Lines

Breast cancer is the most common cause of cancer mortality in western nations, with a terrible prognosis.Many studies show that si rna plays a role in the development of tumors by acting as a tumor suppressor and apoptosis inhibitor or both.Si rnas may be used as diagnostic and prognostic biomarkers in breast cancer.Antisurvivin si rna was chosen as a therapeutic target in breast cancer treatment because it directly targets survivin, an inhibitor of apoptosis protein, that causes cell death.However, si rna-based treatment has significant limitations, including a lack of tissue selectivity, a lack of effective delivery mechanisms, low cellular absorption, and the possibility of systemic toxicity.To address some of these issues, we provide a si rna delivery method based on cationic lipids.In the recent past, cationic liposomes have displayed that they offer a remarkable perspective in proficient si rna delivery.The presence of a positive charge plays a vital role in firm extracellular si rna binding along with active intracellular si rna separation and low biological adversities.Consequently, the methods for developing innovative cationic lipids through rendering and utilization of appropriate positive charges would certainly be helpful for benign and effective si rna delivery.In the current study, an effort was made to synthesize a 3,4-dimethoxyaniline lipid (dma) to improve the effectiveness and protection of successful si rna delivery.Dma cationic lipid successfully delivered survivin si rna that reduced the survivin m rna expression, indicating the possibility of utilizing si rna therapeutics for breast cancer.It is expected that this innovative quaternary amine-based liposome can open up new avenues in the process of developing an easy and extensively used platform for si rna delivery.Cationic lipoplexes, a potential carrier system for si rna-based therapies in the treatment of breast cancer, were proven by our data.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Clinical Significance of Inflammatory Factors, Osteocalcin, and Matrix Metalloproteinase-8 in Gingival Crevicular Fluid in Drug Treatment of Severe Periodontitis

Whether gingival crevicular fluid (gcf) indexes in patients with severe periodontitis affect the efficacy of drug treatment was a new direction of recent research.At present, there were few studies on the effects of inflammatory indicators, bgp, and mmp-8 levels in gcf on the efficacy of drug treatment in such patients.So the purpose of this study was to observe the changes in osteocalcin (bgp), matrix metalloproteinase-8 (mmp-8), and inflammatory indexes levels in gcf of patients with severe periodontitis.The correlation between the above indexes and the effect of drug treatment in the patients was analyzed, in order to provide guidance for improving the clinical curative effect of severe periodontitis.A retrospective analysis was conducted to collect the baseline data of patients with severe periodontitis who were treated with minocycline hydrochloride ointment in our hospital.The inflammatory indicators, bgp, and mmp-8 levels in gcf were analyzed before drug treatment, and the treatment effect on the patients was counted.Logistic regression was used to analyze the correlation between bgp, mmp-8, and inflammatory indicators levels in gcf and the drug treatment effect on the patients.After statistical analysis, we found that the response rate was 69% and the inefficiency was 31%.There were no significant differences in c-reactive protein (crp) and tumor necrosis factor-α (tnf-α) levels between the inefficacy group and efficacy group ( p &gt; 0.05 ).Compared with the efficacy group, the levels of interleukin-6 (il-6), interleukin-1β (il-1β), interleukin-8 (il-8), bgp, and mmp-8 were increased in the inefficacy group.High levels of il-6, il-1β, il-8, bgp, and mmp-8 were associated with ineffective drug treatment in patients with severe periodontitis (all or &gt;1 and p &lt; 0.05 ).Levels of il-6, il-1β, il-8, bgp, and mmp-8 predicted that the aucs of drug treatment failure in patients with severe periodontitis were all greater than 0.7, which were 1.398, 1.458, 1.244, 1.012, and 1.012, respectively.From this, we can conclude that increased levels of bgp, mmp-8, and inflammatory indicators such as il-6, il-1β, and il-8 in gcf would increase the risk of ineffective drug treatment in patients with severe periodontitis.The clinical treatment plan could be adjusted according to the levels of the above indicators in gcf to improve the effectiveness of drug treatment in patients.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Identification of Potential Poly (ADP-Ribose) Polymerase-1 Inhibitors Derived from Rauwolfia serpentina: Possible Implication in Cancer Therapy

Poly (adp-ribose) polymerase-1 (parp-1) has been recognized as a prospective target for the development of novel cancer therapeutics.Several parp-1 inhibitors are currently being considered for anticancer drug development and clinical investigation.Lately, natural compounds seem to be excellent alternative drug candidates for cancer treatment.Rauwolfia serpentina is a medicinal plant traditionally used in indian subcontinents to treat various diseases.This study has been designed to identify the bioactive compounds derived from r.Serpentina for possible binding and inhibition of parp-1 using the molecular docking approach.Thirteen compounds were found to interact with the target with a binding affinity greater than the value of −9.0 kcal/mol.After screening the physicochemical properties, only 5 ligands (ajmalicine, yohimbine, isorauhimbine, rauwolscine, and 1,2-dihydrovomilenine) were found to obey all the parameters of lipinski’s rule of five, showed maximum drug-likeness, and possess no significant toxicity.These ligands displayed strong interactions with target parp-1 via several hydrogen bonds and hydrophobic interactions.Therefore, these identified compounds derived from r.Serpentina can be considered for drug development against cancer-targeting parp-1.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
A Novel NCSTN Mutation in a Three-Generation Chinese Family with Hidradenitis Suppurative

Hidradenitis suppurativa (hs) is a rare autosomal dominant condition characterized by inflamed nodules, cysts, deep abscesses, draining sinuses in the axillae, inguinal, and anogenital regions.Mutations in the ncstn gene have been perceived to be responsible for the major underlying changes in the disorder.The purpose of this study is to identify a novel gene mutation in a chinese family with hs.Methods.A chinese family with hs present was investigated.The proband had manifested with multiple draining sinuses on the posterior neck, chest, bilateral axillae, and perineal regions.Dna was isolated from the peripheral blood of the family members.The encoding exons with introns of the ncstn gene were analyzed by polymerase chain reactions (pcr) and direct dna sequencing.Sanger sequencing was performed to confirm the next-generation sequencing results and to analyze each mutation’s familial segregation.Furthermore, the identified mutation was localized onto a 3d structure model using the deep view swiss-pdb viewer 4.1 software.Results.In this family comprising 10 hs patients, one novel mutation of the ncstn gene was identified, involving a deletion mutation (c.447del c(p.n150ifs ∗ 52)) in the ncstn gene resulting in a frameshift and the new formation of a hydrogen bond.Conclusion.Our study reports the identification of a novel mutation that causes familial hs and could expand the spectrum of mutations in the γ-secretase genes underlying hs.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Clinical Study;
Effects of Butylphthalide Sodium Chloride Injection Combined with Edaravone Dexborneol on Neurological Function and Serum Inflammatory Factor Levels in Sufferers Having Acute Ischemic Stroke

For investigating an influence on butylphthalide sodium chloride injection combined with edaravone dexborneol on neurological function and serum inflammatory factor levels in sufferers having acute ischemic stroke, 120 sufferers having acute ischemic stroke from september 2020 to september 2021 are chosen for the study subjects.In line with the diverse therapies, they took part in a control group and the study group, with 60 examples in each group.The control group is treated with edaravone dexborneol, and the study group is treated with butylphthalide sodium chloride injection, based on the control group.The posttreatment curative efficacy on the two groups is recorded, and treatment of both the two groups is compared.Before and after neurological function indexes (nihss and m rs), inflammatory factor indexes (il-6, crp, and tnf-α), life quality index (barthel index), hemorheological indexes (plasma-specific viscosity), and neurological levels of nse are logged and contrasted between the two groups of adverse reactions during therapy.Postcure, the overall response rate and barthel index of the study group obviously overtop those of the control group ( p &lt; 0.05).Il-6, crp, tnf-α, nse, plasma specific viscosity, and nihss and m rs scores obviously hypodown those of the control group ( p &lt; 0.05), and untoward effects on the two groups during curing are lower, and the discrepancy is not obvious( p &gt; 0.05).Butylphthalide sodium chloride injection combined with edaravone dexborneol can enhance curative efficacy on sufferers having acute ischemic stroke, improve neurological function, blood rheology, and quality of life, and decrease the secretion of cytokine, having a better effect and high medication safety.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Clinical Study;
The Generalization Inverse Weibull Distribution Related to X-Gamma Generator Family: Simulation and Application for Breast Cancer

The aim of this paper is to propose the new three-parameter x-gamma inverse weibull (xgaiw) distribution which generalizes the inverse weibull model.The density function of the xgaiw can be expressed as a linear combination of the inverse weibull densities.Some mathematical quantities (reliability and hazard rate properties) of the proposed xgaiw model are derived.Moreover, four estimation methods, namely, the maximum likelihood, maximum product spacing, least squares, and weighted least squares methods, are utilized to estimate the xgaiw parameters.The monte carlo simulation study has been performed to assess the performance of the proposed estimation methods using some criteria.The importance, flexibility, and potentiality of the xgaiw model are studied via a breast cancer data set application.The xgaiw model can produce better fits than some well-known distributions, so the proposed model can be used, as a good alternative to some existing distributions, in modeling several real data.

Journal: Journal of Function Spaces (2022)
Publication types: Research Article;
Evaluation Model of New Socialist Countryside Construction Based on a Multilayer Neural Network in a Complex Environment

The creation of a deep neural network model with numerous hidden layers enables the layer‐by‐layer extraction of features from the input high‐dimensional data, enabling the identification of the data’s low‐dimensional nested structure and the development of a more efficient and abstract high‐level representation.The research on deep learning is thoroughly examined, along with the direction it needs to take going forward.Supporting the construction of new socialist rural areas as a calculated move to address the problems facing farming, rural communities, and farmers is another essential step in furthering modernization.It helps to reshape the entire rural landscape, coordinate the growth of urban and rural areas, achieve the goal of a wealthy society in every way, boost demand, and support the holistic development of people.The emergence of new socialist rural communities against the background of deep learning is the subject of significant research and analysis in this work.In the research, it is examined and studied using deep learning methods and convolutional neural networks.It is evident from the research described in this paper that deep learning backgrounds have a considerable impact on the development of new rural areas—up to 54.53%.In this essay, the foundation for the future construction of a new socialist countryside is laid forth.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
Dance-Specific Action Recognition Method Based on Double-Stream CNN in Complex Environment

Technology for dance‐specific motion recognition is widely used in many industries, but chinese research in this area is still in its early stages.Recognizing specific dance movements is the key to learning about and comprehending human actions and behaviors.The fault‐tolerant feature of standardized sign language recognition is extended under the condition of small sample sizes, but the recognition accuracy remains a challenge.This issue needs to be resolved by fusing the essential details of particular dance movements.A dual‐stream convolution neural network is suggested in this paper to investigate the recognition of particular dance movements.In this paper, a dual‐stream convolution neural network is used to study the recognition of particular dance movements.The time spent by this algorithm gradually increases as the number of people in the image does, but only slightly.The algorithms proposed by bergonzoni (2017) and liu et al.(2021) both experience linear increases in running time as the population grows.In contrast, the running time of the algorithm in this study essentially increases negligibly.It has become a problem deserving in‐depth study.Double‐stream convolution neural network improves the practical value and technical complexity of dance motion automatic generation technology in art and cultural heritage protection, dance teaching, dance video retrieval, and dance arrangement.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
Dance Movement Recognition Based on Multimodal Environmental Monitoring Data

Fine motion recognition is a challenging topic in computer vision, and it has been a trendy research direction in recent years.This study combines motion recognition technology with dance movements and the problems such as the high complexity of dance movements and fully considers the human body’s self‐occlusion.The excellent motion recognition content in the dance field was studied and analyzed.A compelling feature extraction method was proposed for the dance video dataset, segmented video, and accumulated edge feature operation.By extracting directional gradient histogram features, a set of directional gradient histogram feature vectors is used to characterize the shape features of the dance video movements.A dance movement recognition method is adopted based on the fusion direction gradient histogram feature, optical flow direction histogram feature, and audio signature feature.Three components are combined for dance movement recognition by a multicore learning method.Experimental results show that the cumulative edge feature algorithm proposed in this study outperforms traditional models in the recognition results of hog features extracted from images.After adding edge features, the description of the dance movement shape is more effective.The algorithm can guarantee a specific recognition rate of complex dance movements.The results also verify the effectiveness of the movement recognition algorithm in this study for dance movement recognition.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;