syedzayyan/paper_mill_benchmark huggingface dataset:
Retinal Vessel Automatic Segmentation Using SegNet

Extracting retinal vessels accurately is very important for diagnosing some diseases such as diabetes retinopathy, hypertension, and cardiovascular.Clinically, experienced ophthalmologists diagnose these diseases through segmenting retinal vessels manually and analysing its structural feature, such as tortuosity and diameter.However, manual segmentation of retinal vessels is a time-consuming and laborious task with strong subjectivity.The automatic segmentation technology of retinal vessels can not only reduce the burden of ophthalmologists but also effectively solve the problem that is a lack of experienced ophthalmologists in remote areas.Therefore, the automatic segmentation technology of retinal vessels is of great significance for clinical auxiliary diagnosis and treatment of ophthalmic diseases.A method using seg net is proposed in this paper to improve the accuracy of the retinal vessel segmentation.The performance of the retinal vessel segmentation model with seg net is evaluated on the three public datasets (drive, stare, and hrf) and achieved accuracy of 0.9518, 0.9683, and 0.9653, sensitivity of 0.7580, 0.7747, and 0.7070, specificity of 0.9804, 0.9910, and 0.9885, f 1 score of 0.7992, 0.8369, and 0.7918, mcc of 0.7749, 0.8227, and 0.7643, and auc of 0.9750, 0.9893, and 0.9740, respectively.The experimental results showed that the method proposed in this research presented better results than many classical methods studied and may be expected to have clinical application prospects.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Research on the Construction of Urban Leisure Physical Culture Healthy Big Data Service Platform Based on In-Depth Learning

The national fitness service system must focus on meeting the sports needs of residents, innovate the construction mode of urban leisure sports big data service platform, and promote the construction of urban leisure sports health big data service platform.The healthy development of urban leisure sports should also adhere to the principles of demand orientation and problem awareness.Big data is an industry with urban leisure and sports health as its core data.It is a production process that continues to cycle in the life cycle of big data.Therefore, this paper uses in-depth learning to study the construction of big data service platform for urban leisure sports health.The in-depth learning improvement project is an expert team organized by the urban leisure sports health basic textbook development center of the ministry of education.The data revolution driven by deep learning examined the value of data, conquered the data ocean, and created a new era of personalized medicine in the fields of urban leisure, sports, and health.On the basis of in-depth learning, this paper constructs a big data service platform for urban leisure sports health.On the one hand, the establishment of this platform will help to speed up the construction process of sports service informatization and the reform of various fields of sports, on the other hand, it will help to promote the improvement of the physical quality of the whole people.

Journal: Mobile Information Systems (2022)
Publication types: Research Article;
Research on Quality Anomaly Recognition Method Based on Optimized Probabilistic Neural Network

Ing at the problems of the lack of abnormal instances and the lag of quality anomaly discovery in quality database, this paper proposed the method of recognizing quality anomaly from the quality control chart data by probabilistic neural network (pnn) optimized by improved genetic algorithm, which made up deficiencies of spc control charts in practical application.Principal component analysis (pca) reduced the dimension and extracted the feature of the original data of a control chart, which reduced the training time of pnn.Pnn recognized successfully both single pattern and mixed pattern of control charts because of its simple network structure and excellent recognition effect.In order to eliminate the defect of experience value, the key parameter of pnn was optimized by the improved (sga) single-target optimization genetic algorithm, which made pnn achieve a higher rate of recognition accuracy than pnn optimized by standard genetic algorithm.Finally, the above method was validated by a simulation experiment and proved to be the most effective method compared with traditional bp neural network, single pnn, pca-pnn without parameters optimized, and svm optimized by particle swarm optimization algorithm.

Journal: Shock and Vibration (2020)
Publication types: Research Article;
Research on DCE-MRI Images Based on Deep Transfer Learning in Breast Cancer Adjuvant Curative Effect Prediction

Breast cancer is a serious threat to women's physical and mental health.In recent years, its incidence has been on the rise and it has become the top female malignant tumor in china.At present, adjuvant chemotherapy for breast cancer has become the standard mode of breast cancer treatment, but the response results usually need to be completed after the implementation of adjuvant chemotherapy, and the optimization of the treatment plan and the implementation of breast-conserving therapy need to be based on accurate estimation of the pathological response.Therefore, to predict the efficacy of adjuvant chemotherapy for breast cancer patients is to find a predictive method that is conducive to individualized choice of chemotherapy regimens.This article introduces the research of dce-mri images based on deep transfer learning in breast cancer adjuvant curative effect prediction.Deep transfer learning algorithms are used to process images, and then, the features of breast cancer after adjuvant chemotherapy are collected through image feature collection.Predictions are made, and the research results show that the accuracy of the prediction reaches 70%.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Research on Clue Mining in Criminal Cases of Smart Phone Trojan Horse under the Background of Information Security

With the massive popularity and wide application of android smartphones, there are more and more malware targeting android smartphones.Research and analysis android smart phone trojan horses can provide corresponding technical support for malware detection on android smart phones, which has good scientific research significance and broad market value.This work studies and analyzes the existing implantation technology of android smart phone trojans and analyzes the basic principles and implementation methods of obtaining root permissions on mobile phones.At the same time, the basic principles and implementation methods of mobile phone trojan horse hiding are also studied.Through the research of the broadcast receiver model of the android platform, the background monitoring principle and implementation technology of the mobile phone trojan horse are analyzed, and the theoretical foundation and technical support are provided for the implementation of the trojan horse background monitoring program in this article.Aiming at the problem of insufficient training corpus in the event relationship classification task, this work proposes an event relationship classification method based on tritraining.This method first trains three different classifiers based on the labeled dataset.In the collaborative training process, the new labeled event pairs used to expand each classifier are provided by the other two classifiers.For the same unlabeled event pair, the relationship prediction results are consistent; then, the event pair is considered to have a higher classification confidence and is placed in the labeled set of the third classifier after labeling.Finally, a well-trained classifier is used to determine the relationship between the pair of events to be tested by voting.This study constructs a weighted network structure model called the conceptual network and determines its upper weight based on the structural information and text data of the knowledge network.Aiming at the problem of the lack of means for mining-related forms between things, the pheromone strategy of absorbing the ant colony algorithm is proposed, and random walks are performed on the conceptual network.By analyzing the pheromone distribution information in the convergent state, the calculation of the semantic relevance is completed.At the same time, the method of semantic clue discovery is realized.The experimental results show that the human cognitive information contained in the knowledge network can meet the needs of the mining of the related forms of things, and the performance of the semantic correlation calculation method based on the convergence pheromone is close to other random walk methods based on the knowledge network.

Journal: Journal of Robotics (2022)
Publication types: Research Article;
Research and Implementation of Distributed Computing Management System for College Students’ Sports Health Based on Integrated Regional Collaborative Medical Care

This paper constructs and applies a university student sports health management system through the theory of integrated regional collaborative medical care and distributed computing technology.Firstly, it analyzes the current situation and problems of cross-regional medical care, the root causes, and the corresponding business scenarios, reflecting the development trend of cross-regional medical care, in the light of the current practical needs of cross-regional medical care.In response to the strong demand for cross-regional medical care, this paper gives the overall design of the distributed computing system, for the deployment and architecture of the cross-regional platform; the registration of cross-regional patients, regional platforms, and health events and documents; and data exchange, service integration, and process integration, etc.The corresponding design is given.The research was conducted on several medical institutions to refine the functional requirements for the construction of the regional collaborative medical platform, and the requirements were analyzed to present the research results of the collaborative medical project.Based on this, requirements were made for the preparation of the project construction data center and medical institutions, and the remote consultation and two-way referral modules of the distributed collaborative medical platform were designed, which are processed and analyzed through a system composed of multiple servers.The results are returned to the user, and the design results were tested for functionality, compatibility, security, and other usability tests.The necessity and feasibility of the college physical health test data platform were analyzed.Students have various needs for physical test data management, the necessity of designing the college physical health test data platform, and the feasibility of the college physical health test data platform in terms of technical means, theoretical basis, and social environment.

Journal: Occupational Therapy International (2022)
Publication types: Research Article;
Rehabilitation of Sepsis Patients with Acute Kidney Injury Based on Intelligent Medical Big Data

The objective of this study was to explore rehabilitation of patients with acute kidney injury (aki) treated with xuebijing injection by using intelligent medical big data analysis system.Based on hadoop distributed processing technology, this study designed a medical big data analysis system and tested its performance.Then, this analysis system was used to systematically analyze rehabilitation of sepsis patients with aki treated with xuebijing injection.It is found that the computing time of this system does not increase obviously with the increase of cases.The results of systematic analysis showed that the glomerular filtration rate (59.31 ± 3.87% vs 44.53 ± 3.53%) in the experimental group was obviously superior than that in the controls after one week of treatment.The levels of urea nitrogen (9.32 ± 2.21 mmol/l vs.14.32 ± 0.98 mmol/l), cystatin c (1.65 ± 0.22 mg/l vs.2.02 ± 0.13 mg/l), renal function recovery time (6.12 ± 1.66 days vs.8.66 ± 1.17 days), acute physiology and chronic health evaluation system score (8.98 ± 2.12 points vs.12.45 ± 2.56 points), sequential organ failure score (7.22 ± 0.86 points vs.8.61 ± 0.97 points), traditional chinese medicine (tcm) syndrome score (6.89 ± 1.11 points vs.11.33 ± 1.23 points), and icu time (16.43 ± 2.37 days vs.12.15 ± 2.56 days) in the experimental group were obviously lower than those in the controls, and the distinctions had statistical significance ( p &lt; 0.05 ).The significant efficiency (37.19% vs.25.31%) and total effective rate (89.06% vs.79.06%) in the experimental group were obviously superior than those in the controls, and distinction had statistical significance ( p &lt; 0.05 ).In summary, the medical big data analysis system constructed in this study has high efficiency.Xuebijing injection can improve the renal function of sepsis patients with kidney injury, and its therapeutic effect is obviously better than that of western medicine, and it has clinical application and promotion value.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Regional Economic Statistics and Green Development: Ecological Thinking for Environmental Quality Development

Through more than 40 years of china’s reform and opening up, china’s economic development has exceeded the “surprise of china”.China’s annual average growth rate for world economic development ranks second in the world.By 2020, the article has achieved all‐round poverty eradication and overall happiness.By 2020, this article will write an epic antipandemic with great love.During the “fourteenth five‐year plan” period, china has entered a new stage of high‐quality social and economic development, but environmental pollution is still one of the primary obstacles to high‐quality social and economic development.Because of its diversity, environmental pollution cannot be reasonably handled only by the market economic system.It also needs to be based on the effectiveness of the natural environment supervision policies of government departments.At the same time, the healthy logical thinking of the development trend of high‐quality natural environment is the key to regional economic statistics and the concept of green development.In this paper, empirical research and analysis methods are used, and the description is carried out in the form of data charts.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
Quality of Life in Patients with Breast Cancer following Breast Conservation Surgery: A Systematic Review and Meta-Analysis

To evaluate the health-related quality-of-life (qol) outcomes in surgical breast cancer survivors who received breast conservation therapy (bct) compared to mastectomy, we utilized a systematic review to conduct observational studies of qol in patients with breast cancer following breast conservation therapy from their inception until october 2021.The pub med, the cochrane library, and the web of science databases were systematically searched to retrieve the observational studies.The pooled odds ratios (ors) with 95% confidence intervals (cis) were applied as an effect estimate and calculated using stata 15 software.Nine studies comprising 2301 patients were included.The results showed that no significant differences compared to mastectomy were detected for global health status ( p = 0.971 and p = 0.613 ), physical function ( p = 0.099 ), emotional function ( p = 0.096 ), cognitive function ( p = 0.377 ), social function ( p = 0.602 ), sexual functioning ( p = 0.072 ), and sexual enjoyment ( p = 0.142 ), while role function ( p = 0.036 ), body image ( p = 0.000 ), and future perspective ( p = 0.012 ) showed a significant difference for bct when compared to mastectomy.When compared to breast reconstruction (br), the bct group was inferior at physical function ( p = 0.002 ) and cognitive function ( p = 0.040 ) but superior at body image ( p = 0.001 ).When used the functional assessment of cancer therapy (fact) tool, bct has better results in physical function ( p = 0.000 ), emotional function ( p = 0.000 ), and social function ( p = 0.000 ) than mastectomy.Qol outcomes after bct were better than mastectomy in body image, future perspective, and role function.Bct may be an acceptable option in the study setting for breast cancer patients who pursue high qol.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Meta-Analysis;
Purple Sweet Potato Color Attenuates Kidney Damage by Blocking VEGFR2/ROS/NLRP3 Signaling in High-Fat Diet-Treated Mice

Our preliminary data showed that vegfr2 upregulation promoted renal ros overproduction in high-fat diet- (hfd-) treated mice.Given that ros-induced nlrp3 activation plays a central role in the pathogenesis of type 2 diabetic kidney injury, we evaluate whether vegfr2 upregulation induces type 2 diabetic kidney injury via ros-mediated nlrp3 activation and further explore the underlying mechanism.Our results showed that vegfr2 knockdown decreased ros overproduction, blocked nlrp3-dependent inflammation, and alleviated kidney damage in hfd-treated mice.Treatment with α -lipoic acid, a scavenger of ros, lowered ros overproduction and alleviated nlrp3-triggered kidney injury of hfd-treated mice.Collectively, the vegfr2/ros/nlrp3 signal is a critical therapeutic strategy for the kidney injury of hfd-treated mice.Purple sweet potato color (pspc), a natural anthocyanin, can exert renal protection by inhibiting ros in hfd-treated mice.Here, we provide a novel mechanism of pspc against renal damage in hfd-treated mice by downregulating vegfr2 expression.

Journal: Oxidative Medicine and Cellular Longevity (2019)
Publication types: Research Article;
Pueraria lobata Targeted Preparation Improves the Clinical Symptoms of Cervical Spondylosis by Regulating the Balance of Gut Microbiota

Nanotargeted preparations can enhance the safety and effectiveness of medication by altering the pharmacokinetic behavior of drugs in the human body, and pueraria lobata is shown to be effective in the treatment of neck and back pain.Purpose.This study prepared a nano-pueraria targeted preparation, in order to analyze its effect on improving the clinical symptoms of cervical spondylosis by adjusting the balance of intestinal flora.Methods.A total of 200 patients with cervical spondylosis admitted to the affiliated hospital of nanjing university of chinese medicine were enrolled and divided into an observation group and a control group.The control group was given tuina therapy, and the observation group was given nano-pueraria targeted preparation + tuina therapy.The clinical symptoms and intestinal microflora of the two groups were examined before intervention.Results.It was found that the markedly effective of treatment efficacy of the observation group (98%) was higher than that of the control group (78%) after 15 days of intervention, and the clinical symptoms were obviously fewer than those of the control group.The distribution of gut microbiota showed that there were significant differences in the composition of gut microbiota between the two groups.Compared with the control group, the abundance of firmicutes in the observation group was significantly higher, while the abundance of bacteroidetes and proteobacteria was significantly lower.Conclusion.The targeted preparation of nano-pueraria can improve the clinical symptoms of patients with cervical spondylosis by adjusting the balance of gut microbiota.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Clinical Study;
Public Opinion Guidance and Communication Mechanism Innovation of Public Health Events Based on the Multitask Learning Network in the Internet Era

In order to improve the public opinion guidance ability for public health events in the internet era, and improve the the problems of the traditional public opinion guidance mechanism, we analyze the public opinion guidance and communication mechanism based on the internet era, and analyze the guidance software and software system, and related technical requirements?Subsequently, the efficiency analysis of the public opinion guidance and communication mechanism of the multitask learning network was conducted; the results show that the public opinion guidance and communication mechanism of public health events based on the multitask learning network can effectively improve the diagnostic and early warning ability and diagnostic accuracy of the public opinion fermentation in public health emergencies, reduce the difficulty of guiding the public opinion fermentation of public health emergencies, and effectively improve the success rate of guidance for such events.In the internet era, the public opinion guidance and communication mechanism based on the multitask learning network has improved the public opinion guidance ability for public health events, and it provides a research direction for the development of the network public opinion guidance system for unconventional public health emergencies in the future.

Journal: Mobile Information Systems (2022)
Publication types: Research Article;
Prognostic Value of Immunotyping Combined with Targeted Therapy in Patients with Non-Small-Cell Lung Cancer and Establishment of Nomogram Model

Bioinformatics methods were used to analyze non-small-cell lung cancer gene chip data, screen differentially expressed genes (degs), explore biomarkers related to nsclc prognosis, provide new targets for the treatment of nsclc, and build immunotyping and line-map model.Methods.Nsclc-related gene chip data were downloaded from the geo database, and the common degs of the two datasets were screened by using the geo2r tool and fun rich 3.1.3 software.David database was used for go analysis and kegg analysis of degs, and protein-protein interaction (ppi) network was constructed by string database and cytoscape 3.8.0 software, and the top 20 hub genes were analyzed and screened out.The expression of pivot genes and their relationship with prognosis were verified by multiple external databases.Results.159 common degs were screened from the two datasets.Ppi network was constructed and analyzed, and the genes with the top 20 connectivity were selected as the pivotal genes of this study.The results of survival analysis and the patients’ survival curve was reflected in the line graph model of nsclc.Conclusion.Through the screening and identification of the vim-as1 gene, as well as the analysis of immune infiltration and immune typing, the successful establishment of the rosette model has a certain guiding value for the molecular targeted therapy of patients with non-small-cell lung cancer.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;