syedzayyan/paper_mill_benchmark huggingface dataset:
BAP31 Promotes Proliferation, Invasion, and Metastasis of Liver Cancer Cells via Activating PI3K/AKT Pathway

Many breakthroughs have been made in the clinical treatment of liver cancer, but there are still many liver cancer patients with limited treatment methods.Therefore, it is very important to find targets for early diagnosis and specific treatment of liver cancer.Methods.During the operation, 32 pairs of tumor tissues and corresponding normal liver tissues were acquired from patients.The m rna expression was measured by q pcr.The protein expression was evaluated via western blot.Flow cytometry assay was performed to measure the cells apoptosis.Cck-8 assay was performed to detect cell proliferation.Transwell chamber assay was applied to detect migration and invasion of snu-449 cells.Results.Bap31 was upregulated in liver cancer tissues and cells.Knockdown of bap31 repressed cell proliferation and enhanced cell apoptosis of liver cancer.Knockdown of bap31 apparently upregulated apoptosis-related proteins (bax and caspase-3), while it downregulated antiapoptotic proteins (bcl-2).Knockdown of bap31 repressed migration and invasion of snu-449 cells.In contrast with the control and si-nc group, protein expression of mmp-2 and mmp-9 was obviously lower after si-bap31 transfection of cells.Knockdown of bap31 repressed pi3k/akt signaling pathways in liver cancer cells.Conclusion.Knockdown of bap31 repressed cell proliferation, migration, and invasion in liver cancer by suppressing pi3k/akt/m tor signaling pathways.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Clinical Study;
Automatic Classification of Basic Nursing Teaching Resources Based on the Fusion of Multiple Neural Networks

Automatic classification is one of the hot topics in the field of information retrieval and natural language processing, but it still faces many problems to be solved.The classic automated classification approach has a sluggish classification speed and poor processing accuracy for resources with a large quantity of data.Based on this, an automated classification approach based on the integration of various neural networks for fundamental nursing teaching materials was presented.The automatic classification method of teaching resources was designed by extracting the characteristics of teaching resources, establishing the model of multiple neural network integration, and designing the classification index of basic nursing teaching resources.The experimental findings suggest that this technique has higher chi-square test parameters and better outcomes for the automated classification of large instructional materials than the classic rough set automatic classification method.

Journal: Mathematical Problems in Engineering (2022)
Publication types: Research Article;
Association of Single Nucleotide Polymorphism rs17580 with Smoking and Pulmonary Tuberculosis

This study aimed to investigate the correlation between serpina1 single nucleotide polymorphism (snp) rs17580, smoking, and pulmonary tuberculosis (tb).A total of 420 tb patients (observation group) and 640 patients without pulmonary disease (control group) were randomly included.The frequencies of different genotypes were counted in both groups, and the correlation between snp genotypes and the occurrence of tb was analyzed.Statistical models were performed to analyze the correlation between rs17580 and tb and the correlation between rs17580.The frequencies of genotypes tt, ta, and aa at the rs17580 locus in patients with tb were not statistically different from those in the control group ( p &gt; 0.05 ), and the distributions of the two groups were in accordance with the hardy–weinberg equilibrium law.Rs17580 was analyzed in dominant, recessive, and codominant models, exhibiting no statistical difference ( p &gt; 0.05 ).There was no significant difference among the three genotypes in the 1–5 typing (χ2 = 1.034, p = 0.998 ), and the difference between t and c was not statistically significant (χ2 = 0.012, p = 0.999 ).There was a significant difference between the three genotypes between the smoking group and the nonsmoking group in tb patients ( p &lt; 0.05 ).There was no significant difference among three genotypes in the alcoholic group and the nonalcoholic group in tb patients ( p &gt; 0.05 ).There was no statistical difference in the time to cure among the 3 genotypes in tb patients ( p &gt; 0.05 ).A type mutation of rs17580 in the serpina1 gene was strongly associated with a higher risk of development of tb in smoking patients.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Clinical Study;
Association between lncRNA GAS5, MEG3, and PCAT-1 Polymorphisms and Cancer Risk: A Meta-Analysis

Long noncoding rnas (lnc rnas) have been widely studied, and single nucleotide polymorphisms (snps) in lnc rnas are considered to be genetic factors that influence cancer susceptibility.The lnc rna gas5, meg3, and pcat-1 polymorphisms are shown to be possibly associated with cancer risk.The aim of this meta-analysis was to systematically evaluate this association.Methods .Studies were selected from pub med, web of science, embase, google scholar, cochrane library, the chinese national knowledge infrastructure (cnki), and the chinese biomedical literature database (cbm) through inclusion and exclusion criteria.Odds ratios (ors) and 95% confidence intervals (cis) were calculated using the random-effects model or fixed-effects model to assess the association between lnc rna polymorphisms and cancer susceptibility.Metaregression and publication bias analyses were also conducted.All analyses were performed using the stata 12.0 software.Results .Sixteen articles (covering 13750 cases and 17194 controls) were included in this meta-analysis.A significant association between snp rs145204276 and gastric cancer risk was observed ( del vs.Ins : or = 0.79 , 95 % ci = 0.72 ‐ 0.86 ; del/del vs.Ins/ins+del/ins : or = 0.74 , 95 % ci = 0.59 ‐ 0.91 ; del/ins vs.Ins/ins : or = 0.84 , 95 % ci = 0.67 ‐ 1.05 ).For rs16901904, a decreased cancer risk was observed in three genetic models ( c vs.T : or = 0.79 , 95 % ci = 0.70 ‐ 0.90 ; cc vs.Ct+tt : or = 0.49 , 95 % ci = 0.37 ‐ 0.65 ; cc vs.Tt : or = 0.49 , 95 % ci = 0.37 ‐ 0.66 ).No statistical significance was found in the metaregression analysis.For all of the included snps, no publication bias was found in all genotype models.Conclusions .The rs145204276 snp in lnc rna gas5 is likely to be associated with gastric cancer risk, whereas the rs16901904 snp in lnc rna pcat-1 bears association with a decreased cancer risk.

Journal: Disease Markers (2020)
Publication types: Meta-Analysis;
Application of Wireless Network Based on Artificial Intelligence in Network Teaching of Preschool Education Manual and Aesthetic Education Practical Course

For preschool education majors, art and crafts are required courses.This course is a hands-on exercise that helps students develop their creative awareness, design thinking, and hands-on skills.At the same time, it provides learners with the teaching thinking mode of art and handicraft theme and the form of online teaching helps learners to construct the thinking mode of online learning.As a new teaching form, online teaching is gradually leading the reform in the field of education.However, the majority of present online teaching is simply a continuation of traditional teaching thought, relying on substantial teaching research rather than utilizing its particular advantages to develop and expand.Also, the connotation depth of traditional teaching may not involve the essential problem of teaching application itself—teaching methods and experience of acquiring knowledge.As a result, determining how to characterize an individual’s ability to acquire knowledge and successfully assessing the level of growth of an individual’s cognitive structure is critical to the development of a new generation of online education.In order to prepare for the next generation of network teaching, this article uses artificial intelligence and wireless networks to teach preschool education manual and aesthetic education practical courses through the internet.From the perspectives of individuals and groups, two teaching case recommendation experiments are given.The experiment’s end result confirms the practicality and logic of the evaluation model described in this research, which is based on individual cognitive structure.

Journal: Mathematical Problems in Engineering (2022)
Publication types: Research Article;
Application of Sandwich Teaching Method Based on Network Platform in Rehabilitation Nursing Teaching in Postepidemic Era

Rehabilitation nursing teaching is one of the key points of nursing teaching.The quality of rehabilitation nursing teaching directly affects the comprehensive ability of clinical interns.Therefore, teachers must further deepen the reform of clinical nursing teaching, improve the teaching system, and explore effective clinical nursing teaching methods.This paper introduces the application of the network teaching mode based on sandwich in rehabilitation nursing teaching, which provides guidance and help for the clinical nursing teaching mode.Through sandwich teaching activities for third year students of the nursing department, taking mastering theoretical knowledge, changing critical thinking ability, and changing learning initiative as indicators, this paper analyzes the sandwich teaching mode and discusses the cultivation of nursing students’ ability.The experimental results showed that after the intervention, there was a statistically significant difference in the learning initiative of students in the experimental group ( t = −29.713, p ≤ 0.001).After the intervention, there was a significant difference in the learning initiative of the control group ( t = −3.368, p ≤ 0.001).

Journal: BioMed Research International (2022)
Publication types: Research Article;
Application Model Construction of Traditional Cultural Elements in Illustration Design under Artificial Intelligence Background

The sustainable development of modern illustration art needs to dig deep into traditional culture in content and, on the basis of spreading cultural forms and improving cultural influence, supplement its own creative forms.The influence of ai (artificial intelligence) on illustration design not only is manifested in the optimization of illustration design tools and the improvement of design efficiency, but also makes the illustration design methods more diverse and promotes new breakthroughs in the illustration design concept under the influence of new technologies.In this paper, combining the advantages of two activation functions, soft sign and re lu, a new activation function, sre lu, is constructed and applied to cnn (convolutional neural network).The multimode property of color prediction is modeled by quantifying ab color channels in lab color space, and the introduction of gan (generative adversarial network) structure can make the whole model show better generation effect and improve the generation ability of image style conversion network.Results.The experiment proves the effectiveness of the method with high-quality image visual effect.

Journal: Mobile Information Systems (2022)
Publication types: Research Article;
Analysis on Organizational Structure System Model of China’s Sports Management System Based on KNN Algorithm

The national sports management function requires the government to sincerely help sports associations, cultivate intermediary organizations and sports markets, and urge them to gradually realize autonomy, so as to promote the socialization of national sports.The organizational structure reform of china’s sports management system needs not only a clear goal but also a new way to achieve it, so that the reform route is clear and the reform process is supported.Therefore, sports public service has entered the vision of china’s leisure education reform.In this paper, knn (k-nearest neighbor) algorithm is used to establish the power measurement model of organizational structure individuals, quantitatively analyze the power distribution of organizational structure, and describe the nonlinear relationship between the power distribution of organizational structure individuals and organizational hierarchy.On this basis, aiming at the shortcomings of knn algorithm when the sample distribution is unbalanced, a penalty mechanism is added and improved.The results show that under the condition of unbalanced samples, the classification effect is obviously improved, which is about 6% compared with knn classifier and about 3% to 4% compared with svm (support vector machine) classifier.Conclusion.The improved algorithm achieves high classification accuracy on the basis of good robustness.

Journal: Mobile Information Systems (2022)
Publication types: Research Article;
Analysis of the Effect of Acupuncture and Pressing of Traditional Chinese Medicine on Recovery of Delayed Muscle Soreness in Athletes

In this study, we have analyzed numerous effects of the acupuncture and pressing of traditional chinese medicine on recovery of delayed muscle soreness in athletes.To implement this idea, a total of 84 athletes with delayed muscle soreness treated in our hospital from january 2018 to june 2020 were included.According to the random number table method, they were divided into the experimental group and the control group: among them, 42 cases were in the experimental group and were treated by tcm acupuncture.In the control group, 42 athletes used rehabilitation training.Compared with serum ck levels in the control group, serum ck levels in the experimental group decreased after training, and there was a significant difference ( p &lt; 0.05 ).After intensive training in the control group ( p &lt; 0.05 ), it indicated that acupuncture and pressing of traditional chinese medicine was effective in the recovery of fatigue after exercise, which was significantly better than that in the control group.The serum testosterone value of the experimental group before intensive training had no significant difference, but the serum testosterone value of the moxibustion group of male athletes after intensive training was significantly higher than that of the control group ( p &lt; 0.05 ).Female athletes have a low blood testosterone base and are less affected by the gonad axis.There was no statistically significant difference in rpe scores before treatment.After treatment, the rpe score of the experimental group decreased rapidly ( p &lt; 0.05 ), which was statistically significant compared with the control group ( p &lt; 0.05 ).There was no significant difference in vas scores before treatment.After treatment, the vas score in the experimental group decreased rapidly ( p &lt; 0.05 ) compared with the control group ( p &lt; 0.05 ).After treatment, compared with the control group, the experimental group had a decrease in calf circumference, an increase in muscle strength, and an increase in the range of motion ( p &lt; 0.05 ).Acupuncture and pressing of traditional chinese medicine have obvious clinical application value in the treatment of delayed muscle soreness in athletes, and they have great clinical application value.Muscle injury is a common disease of athletes.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Clinical Study;
Analysis of the Curative Effect and Influencing Factors of Collagen Sponge Combined with Autologous Skin Graft in the Treatment of Deep Burn Patients

Burn is one of the common traumatic diseases in clinics.After deep burn, the complicated changes of the condition are caused by the burn wound, which ends with the repair of the wound.For patients with deep burns, whether the wound can be repaired as soon as possible is the key to the success of clinical treatment.For patients with deep burns, due to the lack of an autologous skin source, scar hyperplasia at donor site, skin graft repair at donor site, postoperative flap necrosis, and other problems in traditional surgical procedures, the method of improving function only by an autologous skin source has been unable to perform the later function reconstruction in patients with deep burns.In this study, collagen sponge combined with autologous skin graft was used to treat patients with deep burn, and the clinical efficacy of the patients was observed, and the related factors affecting the efficacy of the patients were analyzed.The results showed that collagen sponge combined with autologous skin graft was effective in the treatment of deep burn patients, and it was worth popularizing.Deep iii-iv degree burns, wound infection, and hospital stay &gt;3 months are all risk factors affecting the postoperative curative effect of patients.Therefore, in the clinical work, we should focus on patients with deep iii-iv degree burns, perform surgery as soon as possible, and actively deal with wounds to prevent infection, which is beneficial to improve the curative effect.

Journal: Evidence-Based Complementary and Alternative Medicine (2021)
Publication types: Clinical Study;
Analysis of Prescription Medication Rules of Traditional Chinese Medicine for Diabetes Treatment Based on Data Mining

In this study, we have used tcm medical record management platform and sas statistical software to analyze the cases of a professor in the treatment of type 2 diabetes, in order to explore the medication rules for the treatment of type 2 diabetes, so as to enrich and optimize the diagnosis and treatment plan for type 2 diabetes based on the experience of famous doctors.Chinese medicine treatment provides more diagnosis and treatment ideas.We have collected the professor’s treatment of type 2 diabetes, screened out 100 patients, from a total of 285 prescriptions, and entered them into the tcm medical record management platform.We used the tcm medical record management platform and sas statistical software to analyze his professor’s experience in the treatment of type 2 diabetes.The medication analysis is as follows: (1) frequency of medication: 285 cases that met the inclusion criteria used a total of 187 traditional chinese medicines.Among them, salvia miltiorrhiza was used most frequently; (2) drug frequency analysis: 285 cases met the inclusion criteria, and the four qi were mainly cold and warm medicines.The five flavors are mainly sweet, bitter, and pungent drugs.The main meridians are the liver, spleen, and kidney; (3) drug efficacy and classification analysis: 285 cases met the inclusion criteria, and 285 cases met the inclusion criteria and the chinese medicines involved are the most common medicines used for tonic, heat clearing, blood circulation, and stasis; (4) clustering of medications: 35 chinese medicines with medication frequency ≥20% are divided into 11 categories.(5) using the improved apriori algorithm, the minimum confidence level is selected to be 0.5, data mining is conducted on all type 2 diabetes cases, and a total of 21 recipes are dug out involving 10 chinese medicines.In this study, with the aid of the tcm medical record management platform and sas statistical software, cluster analysis, improved apriori algorithm, and other data mining methods were used to systematically and objectively analyze the professor’s treatment of type 2 diabetes cases.The results have clinical significance and can be used for traditional chinese medicine treatment of type 2 diabetes, which provides an objective basis and provides a certain reference for the current inheritance of traditional chinese medical experience and summary research.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Analysis of Hazard Factors Affecting the Quality of Life for Lung Cancer Patients after Chemotherapy

To explore the hazard factors affecting the quality of life for patients with lung cancer after chemotherapy, so as to provide evidence-based clinical proof to improve their quality of life.Methods.The clinic data of lung cancer patients treated with chemotherapy from november 2020 to november 2021 in our hospital were selected for retrospective analysis.A questionnaire survey was administered to 74 patients who met the inclusion criteria.The general condition questionnaire made by the department was used to analyzed the patients’ demographic characteristics and disease status.The quality of life questionnaire for chinese cancer patients receiving chemobiotherapy (qlq-ccc) was used to evaluate the patients’ quality of life.Results.The research objects selected for this study scored an average of (94.53 ± 22.65) points in the quality of life.It was found by logistic regression analysis that age, education level, marital status, pathological types, monthly family income, and metastasis were the independent influencing factors that lowered the quality of life of lung cancer patients after chemotherapy (p &lt; 0.001).Conclusion.Chemotherapy can lead to a decline in the quality of life of lung cancer patients, and there are many factors at play.Therefore, medical and nursing staff should focus on the overall condition of patients when carrying out clinical treatment.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Alterations of Several Serum Parameters Are Associated with Preeclampsia and May Be Potential Markers for the Assessment of PE Severity

The precise pathophysiological mechanisms of preeclampsia (pe) and preventative strategies remain unknown.Laboratory markers which can help in identifying pe patients from pregnant women and assessing the severity of pe during pregnancy are worthy to be explored.In this study, a retrospective case-control study was designed to assess whether the serum levels of albumin (alb), total protein (tp), prealbumin (pa), alkaline phosphatase (alp), lactic dehydrogenase (ldh), d-dimer, fibrinogen (fbg), platelet (plt) count, mean platelet volume (mpv), and platelet distribution width (pdw) can help in assessing pe and evaluate its severity.256 pregnant women were enrolled and classified into 3 groups: mild preeclampsia (m pe, n = 85 ), severe preeclampsia (s pe, n = 78 ), and healthy normotensive controls (control, n = 93 ).Our result showed that the serum levels of alp, ldh, and d-dimer were significantly higher in mild or severe pe patients compared with the healthy controls (66 (52.5-76.5) vs.168 (141.5-201.25) vs.182.5 (120-191.5), 152 (139.75-166.25) vs.183.5 (163.25-307) vs.282 (215.25-306), 1.05 (0.65-1.57) vs.3.05 (2.25-4.08) vs.5.65 (2.29-7.71)), while alb, tp, and pa are lower (38 (37-42) vs.31.5 (25.5-34.5) vs.28.5 (24-33), 65 (63-68.25) vs.56.5 (52-61) vs.51.5 (49-58), 219.14 ± 68.25 vs.167.88 ± 52.21 vs.143.22 ± 50.46 ).On the other hand, compared with the m pe group, the s pe group showed significantly lower plt count but higher level of ldh, d-dimer, and fbg.No significant differences in mpv or pdw were found between any of the two groups.In conclusion, the above markers except for the mpv and pdw may be correlated with pe severity in this patient cohort, indicating possible values of these potential biomarkers in auxiliary diagnosis and severity assessment of pe.

Journal: Disease Markers (2020)
Publication types: Clinical Study;