syedzayyan/paper_mill_benchmark huggingface dataset:
Correlation between the Variability of Glycosylated Hemoglobin and Cardiovascular Risk in New-Onset T2DM Patients

To investigate the relationship between glycosylated hemoglobin variant index and cardiovascular disease in patients with type 2 diabetes.Methods .A total of 120 patients with type 2 diabetes who were admitted to the department of endocrinology in chun’an branch of zhejiang provincial people’s hospital from january 2014 to january 2017 were enrolled.The clinical data, fasting blood glucose, and glycosylated hemoglobin levels of the patients were collected, and hgi was obtained by calculating the fpg level into the formula.Follow‐up for three years was performed to observe the cardiovascular disease (including coronary heart disease and ischemic stroke) in patients.The occurrence of cvd was analyzed in patients with different levels of hgi.Multivariate logistics regression analysis was used to analyze the risk factors of cvd in patients with t2dm.Results .After three years of follow‐up, 8 cases of 120 patients were lost to follow‐up.In the end, 24 cases of cvd occurred in 112 patients, with an incidence rate of 21.43%.Comparing the clinical data of cvd patients and non‐cvd patients, it was found that the proportion of age, fpg, hb a1c, hgi, and insulin control in the cvd group was higher than that of the non‐cvd group, and the difference was statistically significant ( p &lt; 0.05).After grouping according to different hgi levels, it was found that with the increase of hgi level, the proportion of hb a1c, fpg, tc, cvd, and insulin use showed an upward trend ( p &lt; 0.05).Multivariate logistic regression analysis showed that high hgi level (or = 4.660), older age (or = 4.815), and higher fpg level (or = 1.717) are independent risk factors that affect t2dm patients with cardiovascular disease ( p &lt; 0.05).Conclusion .High hgi is independently associated with cvd events in patients with type 2 diabetes.Hgi testing is helpful for clinical assessment of personalized assessment and prediction of cardiovascular risk in patients with diabetes.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Research Article;
Correlation between LRP1B Mutations and Tumor Mutation Burden in Gastric Cancer

It has been shown that low-density lipoprotein receptor-related protein 1b (lrp1b) mutations correlate with tumor mutation burden (tmb) and prognosis in patients with melanoma and non-small-cell lung cancer, while the relationship between lrp1b mutations and tmb in gastric cancer needs further study.This study is aimed at exploring the relationship between lrp1b mutations and tmb in gastric cancer.Methods.Mutation frequency profiles of the genes in patients with gastric cancer in tcga-stad dataset were analyzed by bioinformatics analysis.The relationship among lrp1b mutations, tmb, and patient clinical features in gastric cancer was investigated by the chi-square test.The tmb prediction capacity based on lrp1b mutation status was evaluated by roc curves.Results.Lrp1b is one of the top 10 genes with high gene mutation frequency in gastric cancer.The mutation status of lrp1b in gastric cancer patients was significantly correlated with age and tp53 and muc16 mutation status.The result of roc curve analysis revealed that the mutation status of lrp1b could be considered as an indicator of the degree of tmb in patients with gastric cancer.Conclusion.This study presented the relationship between tmb and lrp1b mutations in gastric cancer, providing a novel perspective for gastric cancer prognosis and therapy.

Journal: Computational and Mathematical Methods in Medicine (2021)
Publication types: Research Article;
Correlation Analysis between the Emotion and Aesthetics for Chinese Classical Garden Design Based on Deep Transfer Learning

Garden design with healthy psychological characteristics is a design method that mines positive psychological expressions and converts them into garden design elements.Chinese classical gardens are cultural heritage of china.Studying the beauty of space in classical gardens is of great significance to inheriting traditional culture, traditional art, and traditional aesthetics.At present, the research hotspots of garden design with healthy psychological characteristics mainly focus on the construction of relevant research theories and methods with the help of various intelligent tools.In this study, we propose a deep learning‐based end‐to‐end model to recognize the positive psychological design of a chinese classical garden.The model is designed based on inception v3 that is proposed by google.The innovation lies in that transfer learning which is integrated into inception v3 to improve the generalization ability.Also, it is not necessary to encode the characteristics of the garden design style due to the end‐to‐end structure used in our proposed model.We design a positive psychological characteristics classification task to recognize high aesthetic feeling and low aesthetic feeling of rockery design.Experimental results indicate that our proposed model wins the best performance compared with other comparison models.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
Construction of Nursing Quality Evaluation Index System Based on Big Data Assisted Analysis in the Context of Intelligent Medical Treatment

To improve and ensure the quality of nursing (qoc), scientifically and effectively improve nursing management, and improve the hospital qoc overall level and construction of nursing quality evaluation index suitable for china (nqei) system.Method.This research is based on the fuzzy neural network (fnn) big data analysis technology, and temperature of hospital patients,blood pressure, blood sugar, blood uric acid, and other data were analyzed, assisted by health big data nqei.With this, in smart medicine (wit120), under the background of big data assisted analysis nqei system and the nursing satisfaction index of patients, inpatient management index, quality of inpatient management, and quality of inpatient management, the coupling of four aspects is analyzed.Result.The results showed that, in the coupling analysis of nursing satisfaction indicators, using the big data assisted nqei system, the comprehensive satisfaction of patients with nursing was 0.963, and the complaint rate is −0.963.In the coupling analysis of patient hospitalization management indicators, assisted by big data nqei, the average length of stay of patients in the system is −0.982, postoperative recovery time is −0.996, and icu time is −0.892.In the coupling analysis of patient hospitalization management quality, assisted by big data assisted nqei, the inpatient infection of the system is −0.982, the postoperative rehabilitation time was −0.996, and the icu time was −0.892.In the coupling analysis of patient prognosis management quality, assisted by big data assisted nqei, the re-examination compliance rate of patients in the system is 0.997, and the medication compliance rate is 0.995, indicating that it is assisted by the big data nqei system and has high correlation with real data.Conclusion.Through analysis, it is proved that using big data to assist the nqei system, patients’ nursing satisfaction index, inpatient management index, inpatient management quality, and inpatient management quality are better than those using the quality control circle nqei high system, and the results are credible.However, its clinical application is not perfect and needs further verification.

Journal: Mobile Information Systems (2022)
Publication types: Research Article;
Construction of Heritage Digital Resource Platform Based on Digital Twin Technology

In order to preserve and inherit material cultural heritage, the author proposes a method for digital construction of the great wall’s cultural heritage based on digital twin.This method discusses the connotation of the whole life cycle of the great wall digital twin, proposes the research path and content of the digital twin construction of the great wall cultural heritage, and conducts the application of the great wall digital twin to evaluate the application effect.The evaluation results show that users’ overall satisfaction with great wall’s digital twin application is relatively high, and the average score of each indicator is above 4, and the functional experience is slightly poor.Conclusion.This method can provide full life cycle visualization services for the digital archiving, application, and decision-making of the great wall cultural heritage and provide theoretical and methodological references for the preservation and inheritance of material cultural heritage.

Journal: Mathematical Problems in Engineering (2022)
Publication types: Research Article;
Efficacy of Otomicroscopy Combined with Otoendoscopy Double-Lens Technology-Assisted Tympanic Membrane Repair on Elderly Patients with Chronic Suppurative Otitis Media

To investigate the effect of otomicroscopy combined with otoendoscopy double-lens technology-assisted tympanic membrane repair on elderly patients chronic suppurative otitis media (csom).Methods.120 elderly csom patients from january 2017 to july 2019 were selected and divided into the otomicroscopy group (n = 40), the otoendoscopy group (n = 40), and the double-lens group (n = 40) by the random number method.All patients were treated with tympanic membrane repair.The otomicroscopy group was assisted by otomicroscopy, the otoendoscopy group was assisted by otoendoscopy.And the double-lens group was assisted by otomicroscopy combined with otoendoscopy.The three groups of operations status, clinical efficacy, the incidence of adverse reactions, hearing improvement rate, and satisfaction rate with incision after 6 months were compared.Results.The operation time, intraoperative blood loss, hospitalization time, and vas score of the otoendoscopy group and the double-lens group were all lower than those of the otoendoscopy group, and the operation time of the double-lens group was lower than that of the otoendoscopy group ( p &lt; 0.05 ).The clinical efficacy of the double-lens group was better than that of the otomicroscopy group and otoendoscopy group ( p &lt; 0.05 ).The adverse reaction rate of the otoendoscopy group and the double-lens group was lower than that of the otomicroscopy group, and the average postoperative air-bone conductance of the double-lens group was lower than that of the otomicroscopy group and the otoendoscopy group, and the hearing improvement rate was higher than that of the otomicroscopy and otoendoscopy groups ( p &lt; 0.05 ).The satisfaction rate with postoperative incision in the otoendoscopy group and double-lens group was higher than that in the otomicroscopy group ( p &lt; 0.05 ).Conclusion.The double-lens technology-assisted tympanic membrane repair has an obvious effect on elderly patients with csom.Compared with the single-use otomicroscopy, the operation time, intraoperative blood loss, hospitalization time, patient’s dry ear condition, degree of surgical pain, clinical efficacy, adverse reaction rate, hearing improvement rate, and patient’s incision satisfaction of the double-lens technology are better.Compared with the single-use otoendoscopy, the operation time, clinical efficacy, and hearing improvement rate of the double-lens technology are better.

Journal: Evidence-Based Complementary and Alternative Medicine (2021)
Publication types: Clinical Study;
Study on Automatic Multi-Classification of Spine Based on Deep Learning and Postoperative Infection Screening

The preoperative qualitative and hierarchical diagnosis of intervertebral foramen stenosis is very important for clinicians to explore the effect of multimodal analgesia nursing on pain control after spinal fusion and to formulate treatment strategies and patients’ health recovery.However, there are still many problems in this aspect, and there is a lack of relevant research and effective methods to assist clinicians in diagnosis.Therefore, to improve the accuracy of computer-aided diagnosis of intervertebral foramen stenosis and the work efficiency of doctors, a deep learning automatic grading algorithm of intervertebral foramen stenosis image is proposed in this study.The image of intervertebral foramen was extracted from the mri image of sagittal spine, and the image was preprocessed.86 patients with spinal fusion treated in our hospital, specifically from may 2018 to may 2020, were randomly divided into the control group (routine analgesic nursing) and the multimodal group (multimodal analgesic nursing), with 43 cases in each group.The pain control effect and satisfaction of the two groups were observed.The results after multimodal analgesia nursing show that the vass of the multimodal group at different time points were significantly lower than those of the control group p &lt; 0.05 ; the satisfaction score of pain control in the multimodal group was significantly higher than that in the control group p &lt; 0.05 .Multimodal analgesia nursing for patients undergoing spinal fusion can effectively reduce the degree of postoperative pain and improve the effect of pain control and satisfaction with pain control, which is worthy of promotion.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Analysis of Athletes’ Training Characteristics Based on Action Statistics of Image Processing

Sports and physical exercise are so closely related that they cannot be described separately.The standardization of physical movements requires athletes to constantly improve their planning.Only when they approach the standard, the improvement of sports level is just around the corner.However, the traditional training standard method is limited by human factors and backward technology, and there are many drawbacks, and athletes’ training cannot reach the best state.In this paper, image deblurring is processed to get the reconstruction model of high-resolution image.Through the experiment on the statistics of the competition, the movement of transfer, out of bounds and arm holding in the standing stage, and the movement of rolling bridge and lifting and holding in the kneeling stage are predicted and prevented.For 55 kg, the key to win is the rolling bridge and lifting action; 60 kg attaches importance to the importance of tactical defense.These two lightweight competitions focus on comprehensive training, while the 120 kg heavyweight competition is more in pursuit of strength.Finally, the experiment runs well, and the data and effect can meet the design goal of this paper.The specific details of the optimization and improvement need to be improved in the next step.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
Construction of Endometrial Carcinoma ceRNA Network and Screening of Key Genes Based on TCGA Database

Long noncoding rna (lnc rna) has received more and more attention in human tumor research.This study is aimed at clarifying the regulatory network of lnc rnas-micro rnas- (mi rnas-) m rnas and at determining the relevant targets in the development of endometrial cancers.Methods.Download the mi rna, m rna, and lnc rna expression profile data of endometrial cancer patients from tcga; use the “deseq2” package of r software to identify the differential expression of mi rnas, m rnas, and lnc rnas; construct a network of ce rna; and perform gene ontology (go) and kyoto encyclopedia of gene and genome (kegg) pathway enrichment assessment on m rnas in the network of ce rna; string and cytoscape 3.7.2 perform ppi assessment on target genes and top 10 hub gene screening; cytoscape 3.7.2 computer program was employed for constructing the lnc rna-mi rna-top10 hub m rna network diagram to determine the signal axis; star base database to verify the top10 hub m rna expression; the “survival” package in r computer program was implemented to analyze the survival rate of all genes on the lnc rna-mi rna-top10 hub m rna network diagram; rt-q pcr to verify the expression level of genes on the signal axis.Results.1119 differential m rnas, 14 differential lnc rnas, and 65 differential mi rnas were screened in tcga; we constructed a ce rna regulatory network composed of 5 dels, 7 dems, and 90 degs; string combined with cytoscape to screen out top10 hub genes, namely: lefty1, lin28a, lhx3, st8sia3, cep55, fbxo32, dcn, angptl1, adra1a, and kcnma1; the star base database verification results show that adra1a, angptl1, fbxo32, kcnma1, and dcn are downregulated in endometrial cancer tissues; lefty1, lin28a, lhx3, st8sia3, and cep55 are upregulated in endometrial cancer; the constructed lnc rna-mi rna-hub top10 m rna network map identified ctd-2314b22, rp11-89 k21/hsa-mi r-143, hsa-mi r-424/lefty1, lin28a, lhx3, st8sia3, and cep55 signal axis; survival analysis results show that ctd-2314b22, rp11-89 k21, hsa-mi r-96, hsa-mi r-211, lhx3, st8sia3, and dcn are all related to survival; rt-q pcr results indicate ctd-2314b22, rp11-89 k21, lefty1, lin28a, lhx3, st8sia3, and cep55 are upregulated in endometrial cancer cells, and hsa-mi r-143 and hsa-mi r-424 are downregulated in endometrial cancer cells.Conclusion.From the perspective of the lnc rna-mi rna-m rna network, our study identified ctd-2314b22, rp11-89 k21/hsa-mi r-143, hsa-mi r-424/lefty1, lin28a, lhx3, st8sia3, and cep55 signal axis, which can present considerably potent biomarkers and therapeutic targets for treating endometrial cancer.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Consistency Analysis of CTLM Imaging and Mammography in the Diagnosis of Breast Tumor Lesions

To analyze the consistency of preoperative ctlm imaging in the diagnosis of breast cancer lesions and postoperative pathological examination.Methods.The clinical data of 225 patients with breast tumor in our breast surgery department were collected.All patients underwent mammography, ctlm, and pathological examination.To analyze the image characteristics of breast ctlm imaging, calculate the diagnostic efficacy of ctlm imaging for breast tumors, and compare the image characteristics of ctlm imaging for benign and malignant tumors.Results.(1) postoperative pathological examination showed that 136 cases (60.44%) of lesions were benign tumors, and 89 cases (39.56%) were malignant tumors.(2) the “spokes distribution” of normal breast ctlm images was interrupted.In the 3d reconstructed images, the morphology of the abnormal angiogenesis area is mostly irregular nonbanded structure, which is manifested as slab structure, spindle structure, spherical structure, diverticulum structure, inverted conical structure, rings structure, branched structure, and dumbbell structure.(3) the detection rate of breast tumor by ctlm imaging was 84.44%.The specificity and coincidence rate of ctlm imaging were higher than that of mammography (p &lt; 0.05).(4) the features of ctlm imaging images of breast malignant tumors are mostly bright white locally, with irregular edges and obvious attenuation of laser signal, and the reconstructed shape of 3d images is mostly like a slab structure.Conclusion.Ctlm imaging can provide related information of neovascularization in breast cancer lesions, which is basically consistent with pathologically confirmed lesions.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Dimensional Defect Detection Research on the Sculpture Surface Combining the Convolutional Neural Network and Gabor

Thematic sculpture creation is an important part of sculpture creation.In particular, the current thematic sculpture creation in china has broken the shackles of serving politics and has shown a variety of aspects such as theme selection, modelling method, material language, and creative purpose.Since the new century, chinese thematic sculptors have made in-depth analysis and research on the diversity of creative objects, the infinite possibilities of creative expression, and the diversity of creative purposes, especially through the phenomenon of different thematic sculptures to explore their existing predicaments, and give them reflection.If the time is too long, it will reduce the production efficiency of the sculpture production line and increase the operating cost of the enterprise.The gabor wavelet transform is used to obtain the texture features of the sculpture surface, and the generated high-dimensional features are subjected to random projection dimension reduction.Finally, the binarization algorithm can be used to detect the defect location quickly and accurately.The feature map is extracted by selecting a deep network.The neural network algorithm structure for the sculpture dataset is presented, and the activation function and regularization method are improved on this basis.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
Comparison of Warming Needle Moxibustion and Drug Therapy for Treating Knee Osteoarthritis: A Systematic Review and Meta-analysis

To compare the efficacy of warming needle moxibustion (wnm) with that of drug therapy for treating knee osteoarthritis (koa), so as to provide evidence-based reference for the treatment of knee osteoarthritis.Methods.Pub med, embase, cochrane library, vip, wan fang, and cnki were searched from inception to march 23, 2022.Literature selection was processed in strict accordance with inclusion and exclusion criteria.Cochrane risk of bias assessment tool was applied for quality assessment of included studies.Data analysis and publication bias assessment were performed using stata 15.0.Results.There were 30 rcts included, with 1324 participants in the wnm group and 1293 in the control group.Meta-analysis showed that the wnm group yielded more excellent effect than the control group ( r r = 1.22 , 95% ci (1.17, 1.27), p = 0 ), improvement in womac scores was greater in the wnm group than in the control group ( wmd = − 8.48 , 95% ci (-13.13, -3.83), p = 0.002 ), activity of daily living (adl) score was higher in the wnm group than in the control group ( wmd = − 7.66 , 95% ci (-10.22, -5.09), p = 0.01 ), improvement in joint stiffness scores was greater in the wnm group than in the control group (wmd = -1.72, 95% ci (-2.50, -0.93), p = 0.005 ), and improvement in pain scores was greater in the wnm group than in the control group ( smd = − 1.09 , 95% ci (-1.38, -0.79), p = 0.001 ).Conclusions.Wnm would be more effective in improving quality of life, decreasing womac score, promoting knee function recovery, and alleviating the joint pain and stiffness, compared with orally taken drug therapies.Therefore, wnm could be given prior consideration for the treatment of koa.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Meta-Analysis;