syedzayyan/paper_mill_benchmark huggingface dataset:
Effects of Aerobic Training on Cardiopulmonary Function Based on Multiple Linear Regression Analysis

In order to study the effect of aerobic training exercise on cardiopulmonary function of the human body, in this study, multiple linear regression based on the particle swarm optimization cardiopulmonary function test method of constructing the sports cardiopulmonary function test model is used.The traditional multiple linear regression after 41 iteration achieves convergence, and after the particle swarm optimization, about 25 times, convergence is achieved.Moreover, the convergence error of p so is less than that of traditional multiple linear regression algorithm, which verifies the effectiveness of pso.This method can effectively detect cardiopulmonary function of athletes before and after aerobic training, and the modeling accuracy is high, and the detection performance of cardiopulmonary function of aerobic training is better than the traditional relational model algorithm, which provides a new way for cardiopulmonary model detection of the human body.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Effective Image Processing and Segmentation-Based Machine Learning Techniques for Diagnosis of Breast Cancer

Breast cancer is the second leading cause of death among women, behind only heart disease.However, despite the high incidence and mortality rates associated with breast cancer, it is still unclear as to what is responsible for its development in the first place.The prevention of breast cancer is not possible with any of the current available methods.Patients who are diagnosed and treated for breast cancer at an early stage have a better chance of having a successful treatment and recovery.In the field of breast cancer detection, digital mammography is widely acknowledged to be a highly effective method of detecting the disease early on.We may be able to improve early detection of breast cancer with the use of image processing techniques, thereby boosting our chances of survival and treatment success.This article discusses a breast cancer image processing and machine learning framework that was developed.The input data set for this framework is a sequence of mammography images, which are used as input data.The clahe approach is then utilized to improve the overall quality of the photographs by means of image processing.It is called contrast restricted adaptive histogram equalization (clahe), and it is an improvement on the original histogram equalization technique.This aids in the removal of noise from photographs while simultaneously improving picture quality.The segmentation of images is the next step in the framework’s development.An image is divided into distinct portions at this point because the pixels are labeled at this step.This assists in the identification of objects and the delineation of boundaries.To categorize these preprocessed images, techniques such as fuzzy svm, bayesian classifier, and random forest are employed, among others.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Effect of Orthodontic Combined with Implant Repair on Aesthetic Effect and Gingival Crevicular Fluid Factor in Patients with Dentition Defect and Periodontitis

In order to solve the effect of orthodontics combined with implant repair on the aesthetic effect and gingival crevicular fluid factor of patients with dentition defect and periodontitis, 60 patients who met the diagnostic criteria of chronic periodontitis were proposed.They were randomly divided into treatment group (taking bushen huoxue guchi recipe for 3 courses while basic periodontal treatment) and control group (only basic periodontal treatment without taking any drugs).The experimental method of 30 cases in each group showed that pd, al, and gi in the treatment group and control group decreased to varying degrees compared with those before treatment.The treatment group decreased significantly compared with the control group ( p &lt; 0.01).Chronic periodontitis is a common clinical periodontal disease, accounting for up to 95%, local stimulation, a variety of anaerobic bacteria infection, and periodontal plaque, and other factors may cause the occurrence of diseases.Routine treatment mainly includes upper gingival cleaning, lower curettage treatment, and equal root surface treatment.Although the clinical symptoms can be alleviated to a certain extent, the cause cannot be fundamentally excluded, leading to the disease progression in some patients and the formation of aggressive periodontitis and necrotizing periodontal disease.

Journal: BioMed Research International (2022)
Publication types: Clinical Study;
Effect of Hand Intensive Training on Upper Limb Function of Stroke Patients with Hemiplegia

To analyze the effect of hand intensive training on upper limb function of stroke patients with hemiplegia, methods.110 stroke patients were randomly divided into two groups: the reference group and the observation group.55 patients in the reference group were treated with routine rehabilitation treatment, including routine joint activity training, bed training, exercise therapy, and adl ability training; 55 cases in the observation group received intensive hand training on the basis of routine rehabilitation treatment, including inducing the patient’s five finger extension, forcibly pulling the fingers and wrist joints, and suddenly opening his fist after clenching his fist.Results.The treatment period of the two groups was 5 weeks.In the comparison results of fugl-meyer (fma), the exercise effect of the observation group with increased hand intensive training was significantly better than that of the control group with stroke hemiplegia treated with conventional methods.The difference was statistically significant, t &lt; 10.000 , p &lt; 0.05 ; in the comparative analysis of upper limb function test (ueft), the effect of the observation group was significantly higher than that of the reference group treated with routine rehabilitation nursing (all p &lt; 0.05 ); in the comprehensive comparison of exercise ability results, the observation group was higher than the reference group in the flexibility, fineness, and fineness of activity behavior after treatment.Conclusion.Strengthening hand intensive training can further improve the upper limb motor function of stroke patients with hemiplegia, reduce the severity of hemiplegia, and improve the recovery effect of stroke patients.It is worthy of clinical promotion and application.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Clinical Study;
Effect of Different Doses of Propofol on Pulmonary Function and Inflammatory Response in Patients with Lung Ischemia Reperfusion Injury Induced by One-Lung Ventilation Based on Big Data Analysis

To analyze the effect of different doses of propofol on pulmonary function and inflammatory response in patients with lung ischemia reperfusion injury (liri) induced by one-lung ventilation (olv) based on big data analysis.Methods.A retrospective study was performed on 105 patients who underwent lobectomy in our hospital (january 2018 to january 2022).According to the doses of propofol, they were split into low-dose group (ldg), middle-dose group (mdg), and high-dose group (hdg), which received the continuous micropump infusion of propofol at the doses of 2 mg/(kg·h), 5 mg/(kg·h), and 10 mg/(kg·h) after induction, respectively, with 35 cases in each group.The indexes, such as the pulmonary function and inflammatory factors of patients, at different times were compared.The logistic regression analysis was performed according to the occurrence of liri.Results.With no notable difference at t0 among the three groups ( p &gt; 0.05 ), the cdyn levels significantly decreased at t1 ( p &lt; 0.05 ) and gradually increased at t2.The cdyn levels at t1 and t2 were remarkably higher in hdg and mdg than in ldg ( p &lt; 0.05 ).With no notable differences at t0 and t1 among the three groups ( p &gt; 0.05 ), the pa-a o2 levels and ri values at t2 in mdg and hdg were lower compared with ldg ( p &lt; 0.05 ).The ri values at t1 and t2 in hdg were higher compared with mdg, with no obvious difference ( p &gt; 0.05 ).The oi levels at t1 and t2 in hdg were lower compared with the other two groups ( p &lt; 0.05 ), and the oi levels at t1, t2, and t3 in ldg were higher compared with mdg, with no obvious difference ( p &gt; 0.05 ).The tnf-α and icam-1 levels at t1 and t2 in mdg and hdg were lower compared with ldg, with no obvious difference between mdg and hdg ( p &gt; 0.05 ).Compared with ldg, the mdg and hdg at t1 and t2 had lower mda levels ( p &lt; 0.05 ) and higher sod levels ( p &lt; 0.05 ).Logistic regression analysis showed that cdyn, pa-a o2, and olv time were independent risk factors for liri in patients undergoing lobectomy.Conclusion.Propofol has a good protective effect on lung function in patients with olv-induced liri.Appropriately increasing the dose of propofol can effectively improve the local cerebral hypoxia and lung compliance of patients and reduce the inflammatory response and oxidative stress response, with 5 mg/(kg·h) as the clinical reference.Preoperative assessment and preparation should be made for patients, close attention should be paid to risk factors, such as cdyn and pa-a o2, and olv time should be controlled.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Effect Analysis of Midwife Education and Training with PDCA Model

With the improvement of social living standards, pregnant women have higher and higher requirements for health and medical personnel.As the main body of medical service personnel, the service objects of midwives are increasing rapidly, while the existing working conditions and abilities of midwives are difficult to meet the growing medical needs of pregnant women.In order to improve the imbalance between supply and demand between limited medical resources and patients’ medical treatment, this paper proposed to use pdca model to educate and train midwives in order to improve their professional ability and work efficiency.Based on the analysis of the structure and functional principle of pdca model, according to the working requirements of midwives, pdca model was used to provide midwives with scientific teaching plan, implementation scheme, inspection requirements, and result evaluation methods.In order to test the effect of the application of this model, a group of hospitalized pregnant women were selected as samples and randomly divided into control group and observation group.Through comparative experiments, the effectiveness of pdca model in midwife education and training was verified.The experimental results showed that the scores of midwife and patient satisfaction, theory and operation skills in the observation group were higher than those in the control group.Compared with the conventional nursing mode, the use of pdca cycle mode to educate and train midwives had not only effectively improved the theoretical knowledge and professional skills of nurses, but also significantly improved the nursing and delivery monitoring ability of pregnant women.This study has certain reference and guiding significance for clinical medicine and other related application fields.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
ECC-Based Authenticated Key Exchange Protocol for Fog-Based IoT Networks

Fog computing is one of the prominent technology that bridges the gap between io t nodes and cloud servers.For increasing the efficiency at the fog level, a fog federation can be employed.Fog federation at the fog level can be controlled by the fog coordinator.However, the information exchange between the fog coordinator and io t nodes needs to be secured.Recently, a lightweight secure key exchange (lkse) protocol for secure key exchange for fog federation was proposed.In this paper, the cryptanalysis of the lkse is carried out.The cryptanalysis indicates that lkse is vulnerable to spoofing and man in the middle attacks.To overcome the limitation of the lkse, a design of an ecc-based secure key exchange protocol for io t devices and fog coordinators is proposed.The security strength of the designed method has been evaluated using ban logic and the random oracle model.Simulations on avispa have been performed for automatic security verification of the proposed method.A detailed security and functional comparison of the proposed scheme with lkse have also been carried out.

Journal: Security and Communication Networks (2022)
Publication types: Research Article;
Deep Learning-Based Cervical Spine Posterior Percutaneous Endoscopic Disc Nucleus Resection for the Treatment of Cervical Spondylotic Radiculopathy

In the past 10 years, the technology of percutaneous spine endoscopy has been continuously developed.The indications have expanded from simple lumbar disc herniation to various degenerative diseases of the cervical, thoracic, and lumbar spine.Traditional surgery for the treatment of cervical radiculopathy includes anterior cervical decompression surgery, anterior cervical decompression plus fusion surgery, and posterior limited fenestration surgery.This article mainly studies the treatment of cervical spondylosis caused by radiculopathy caused by the nucleus resection of the posterior cervical spine percutaneous spinal endoscopy based on deep learning.In the ppecd group, the height of the intervertebral cavity was measured before the operation and during the final follow-up, and the height change of the intervertebral cavity was evaluated.The relative angle and relative displacement of the sagittal plane of the operation segment in the ppecd group were measured, and the stability was evaluated.Using the cervical spine x-ray kelvin degeneration evaluation criteria, before and during the final follow-up operation, the degeneration of the adjacent segments of the two groups was evaluated.A retrospective analysis of 26 cases of cervical radiculopathy that met the criteria for diagnosis, inclusion, and exclusion was reviewed.Among them, 11 cases were treated with ppecd surgery; 15 cases were treated with acdf surgery.According to the evaluation method of odom, the excellent rate and the good rate of the two groups were compared.According to the location of the lesion, the nerve detection or dull tip device is exposed under the armpit or shoulder of the nerve root, and the protruding nucleus pulposus tissue is explored and removed, and annulus fibrosus is performed as needed.After hemostasis was detected, the surgical instruments were removed and the surgical incision was completely sutured.Before the operation and 3 months after the operation, the final follow-up made no significant difference in the overall average height of the intervertebral cavity (f = 2.586, p &gt; 0.05 ).The results show that posterior foramen expansion is an effective surgical method for the treatment of cervical spondylotic radiculopathy, but surgical adaptation requires strict management.In order to achieve satisfactory results, appropriate cases must be selected.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;
Deep Fusion of Intelligent Meridian Sensing Technology and Huoluo Xiaoling Pills in the Treatment of Knee Osteoarthritis

Based on the deep fusion of intelligent meridian sensing technology and huoluo xiaoling pill (hxp) in the treatment of knee osteoarthritis (koa), firstly, the effective components and targets of salvia miltiorrhiza , angelica sinensis , frankincense , and myrrh were obtained by using tcmsp, swiss adme, and swisstarget databases.Similarly, relevant targets of koa were collected through gene cards, omim, ttd, pharm gkb, and drug bank databases.Next, the potential targets of zxp in the treatment of koa were obtained by intersection of drug and disease targets.Finally, cytoscape 3.7.1 software was used to construct a “disease‐drug‐component‐target” network, and gene ontology (go) function and kyoto encyclopedia of genes and gnomes (kegg) signaling pathway enrichment analysis were performed on the core targets through metascape website.A total of 99 active components and 203 corresponding potential therapeutic targets were obtained from the components of hxp.And koa has 2543 potential therapeutic targets, of which 120 cross targets correspond to 120 active compounds in hxp.Then, topology analysis displayed that the six targets form the core ppi network.In addition, go and kegg enrichment analyses showed that these core targets were mainly enriched in inflammatory response, apoptosis, oxidation reaction, and other related pathways.

Journal: BioMed Research International (2022)
Publication types: Research Article;
Comparison of Clinical Effects of Temozolomide Single Agent and Combined Doxorubicin in the Treatment of Glioma

In this article, we have compared and analyzed the clinical effects of temozolomide single agent and combined doxorubicin in the treatment of glioma.To evaluate this, a total of 70 patients diagnosed with glioma in our hospital from july 2019 to july 2020 were randomly divided into two groups, the observation group and the control group, with 35 patients in each group.The control group received temozolomide capsules orally.The observation group was treated with temozolomide single agent and doxorubicin.After treatment, the clinical efficacy, adverse reactions, and kps score of the two groups were observed.After treatment, the total response rate of the control group was 31.43%, and the total response rate of the observation group was 62.86%.The difference between the two groups was statistically significant ( p &lt; 0.05 ).Before treatment, there was no significant difference in kps scores between the two groups ( p &gt; 0.05 ).After treatment, the kps scores of both groups were improved, and the kps scores of the observation group and the control group were significantly better, with statistical significance ( p &lt; 0.05 ).In the observation group, 17 cases had adverse reactions, including 10 cases of nausea and vomiting, 2 cases of leucopenia, and 5 cases of thrombocytopenia, with a total incidence of 48.57%.In the control group, there were 31 cases of adverse reactions, including 22 cases of nausea and vomiting, 6 cases of leucopenia, and 4 cases of thrombocytopenia, with a total incidence of 91.43%.The difference between the two groups was statistically significant ( p &lt; 0.05 ).The efficacy of temozolomide single agent and combined doxorubicin in the treatment of glioma was significant.Moreover, it can significantly improve clinical efficacy, reduce the incidence of adverse reactions, and improve the health status of patients, which is worthy of further clinical application.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Clinical Study;
Changes of Tumor Markers in Patients with Lung Cancer after Immunotherapy and Their Link with Inflammation in the Body

To figure out tumor markers changes in lung cancer (lc) patients after immunotherapy and their link with inflammation in the body.Methods.From may 2017 to january 2021, taking 97 lc patients with elevated programmed cell death protein 1 and programmed cell death protein-ligand 1 was as the research objects.They were all given immunotherapy and assigned into the remission and the nonremission groups on the grounds of the tumor remission after 6 months of treatment, after comparison of tumor markers [carcinoembryonic antigen (cea), squamous cell carcinoma-associated antigen (scc-ag), cytokeratin 19 fragment (cyfra12-1), and neuron-specific enolase (nse)] and inflammation indicators [interleukin-10 (il-10), interleukin (il-6), and tumor necrosis factor-α (tnf-α)] in the two.Results.Tumor markers, il-10, il-6, and tnf-α in the remission after treatment were reduced vs.The nonremission ( p &lt; 0.05 ); scc-ag was positively linked with il-10, il-6, and tnf-α in the patients after treatment ( p &lt; 0.05 ); the auc of the combined detection to assess the efficacy of lc immunotherapy was greater vs.The individual detection of indicators ( p &lt; 0.05 ).Conclusion.Tumor markers and the inflammation state of the body in lc patients are memorably reduced after immunotherapy, and a correlation is presented between the two, which manifests evaluating value of the efficacy of immunotherapy.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Clinical Study;
Big Data Technology in the Macrodecision-Making Model of Regional Industrial Economic Information Applied Research

In the era of internet +, modern industry has developed rapidly, the network economy has promoted the great development of the industrial economy, and the traditional industrial economic statistics method has not been suitable for the development needs of modern enterprises.In today’s society, it can be described as the era of big data, the use of big data technology for industrial economic statistics is needed for the development of industrial modernization, and it is also a new requirement for industrial economic statistics put forward by social development.With the wide application of internet of things, cloud computing, mobile internet, remote sensing, and geographic information technology in the economic field, precise economic policies have gradually developed and matured.Especially for different industries in the regional economy, according to the big data in the region, the big data mining technology and analysis technology can be used to obtain the development situation and future trend of the industrial economy in a timely and effective manner.Applying big data technology to macrodecision of regional economic information is an effective way to make macrodecision of current economy.Based on this background, this paper proposes a macroeconomic decision-making method for regional industries based on big data technology.Using data mining technology, time series data analysis methods combined with artificial intelligence analysis, the development trend of regional industries is obtained, and then the development trend of the industry is obtained.Development makes macroeconomic decisions.Taking agriculture as an example, the most popular analysis of the price trend of a certain agricultural product provides an effective reference for the development strategy of this agricultural product.The results show that the method proposed in this paper can effectively apply big data technology to the macrodecision-making of regional industrial economy.And it has better promotion significance.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;