syedzayyan/paper_mill_benchmark huggingface dataset:
Cellular Imaging Analysis Algorithm-Based Assessment and Prediction of Disease in Patients with Acute Lung Injury

This paper uses cellular imaging analysis algorithms to assess and predict the condition of patients with acute lung injury.Given the unique optical properties of ucnps, this paper designs a ratiometric upconversion fluorescent nanoprobe for the determination of nitric oxide (no) content in living cells and tissues.To address the image degradation phenomenon of optical sections, this paper uses a blind deconvolution method to abate the degradation effect caused by the scattered focus surface, thus completing the image recovery.After that, grayscale and binarization are performed using the weighted average method and the otsu method.In this paper, we propose a migration learning‐based resnet‐50 network for the triple classification of unlabeled leukocytes based on the characteristics of cell images acquired by a miniaturized label‐free microfluidic cell imaging detection device.The migration learning can rapidly optimize the network parameters, the short connection structure of resnet‐50 is more suitable for feature extraction of unlabeled leukocytes than the inception v3 model without a short connection structure, and the accuracy of the resnet‐50 network can reach 94% in the test set.In this paper, we propose two tracking algorithms based on the dynamic gaussian mixture model and mathematical morphology‐based algorithms suitable for cells of different shapes for cell tracking in microscopic images, neuronal cell labeling in fluorescent images, and cell segmentation in mice.These methods have the advantages of low cost, speed, reproducibility, and objectivity, and we hope that their elicitation will be useful for relevant cell biology research.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Research Article;
Biomechanical Analysis of Touch Ball Movements in Tennis Forehand Strokes

In order to improve the effect of certain theoretical basis for tennis coaches to correct technical movements and teaching training, a method oriented towards discrete gradient methods that can be used for computational solid mechanics is presented.The biggest feature of this method is that it can directly perform numerical simulation analysis on any point cloud model, without relying on any structured or unstructured grid model.Experimental results show that about 80% of the shots in the game are within 2.5 m of the athlete’s moving distance, and the athlete needs to have 300 to 500 high-intensity exercises; the total running distance of the competition is 1 100–3 600 m.The average vo2 of athletes during the competition is 20–30 m l/min/kg (45%–55% v.o2max), the average heart rate is 135–155 beats/min (70%–85% hrmax), the mean blood lactate was &lt;4 mmol/l, the subjective fatigue was 12–14 (moderate intensity), and the mean metabolic equivalent was 5–7 mets.It is proved that the discrete gradient method can effectively solve the biomechanical analysis problem of tennis forehand hitting the ball.Make up for the lack of action details in the differentiation stage.Improve the effect of certain theoretical basis for tennis coaches to correct technical movements and teaching training.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Bioinformatics Analysis of the Characteristics and Correlation of m6A Methylation in Breast Cancer Progression

Growing cutting‐edge study has demonstrated the rna m6a methylation’s critical role in regulating tumorigenesis and progression all over the world, while it is still a mystery whether rna m6a methylation has a positive impact on breast cancer treatment.In this article, we utilize bioinformatics to analyze three data sets including tcga‐brca, gse96058, and gse25066 and discover that breast cancer samples could be divided into 4 subtypes, which are quiescent, m6a methylation, protein‐binding, and mixed, clarified by the expression level of m6a‐related genes.R‐survival analysis results also prove that the survival rate of breast cancer samples of the four subtypes significantly varies and remarkable differences in the number of exons’ skip among the four subtypes can be seen according to the analysis of breast cancer gene expression characteristics.The degree of tp53 mutation and copy number loss is most obvious in the protein‐binding subtype when it comes to tumor driver genes.Among the dna damage repair genes, there is a sharp increase in the copy number of rad54b of the protein‐binding subtype, but fewer mutations in other dna damage repair‐related genes and copy number deletion is everywhere.Results of m6a methylation influencing on the proportion of infiltrated immune cells also indicate significant differences of the four m6a subgroups in macrophages m0 and mast cells resting which are closely correlated to patient prognosis.In addition, findings of the highest tumor stemness index and the lowest in the m6a methylated type in breast cancer samples can prove the critical role of the high expression of m6a reader protein in the progression of breast cancer.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Research Article;
Benefits and Barriers of Holistic Nursing Training by High-Fidelity Simulation in Obstetrics

With the technology of high-fidelity simulates developed, the clinical education route has changed.The nursing school pays attention on the use of high-fidelity simulations in nursing education.However, in china, only a few schools can afford the expensive teaching tools, including sim mom 3g and virtual reality (vr) devices, which also focus on “holistic nursing simulation.” objective.To explore the evaluation and development of a holistic nursing simulation session for nursing students based on an integrated nursing approach in obstetrics.Methods.This study was based in a rich chinese nursing school under the medical university that value nursing education.This study is founded on 147 third-year nursing students in obstetrics classes.After the simulation teaching, the teaching effect of the questionnaire was investigated, and the total number of questionnaires was 124 students.Results.Students agreed that the holistic nursing simulation cultivated humanistic care literacy, clinical practice ability, and clinical thinking ability; enhanced teamwork ability; and reinforced professional knowledge.Conclusion.This simulation teaching method helps to cultivate students’ enthusiasm and initiative and fosters their self-learning ability.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Athlete Health Status Assessment Based on Edge Computing Model and Large-Scale Multimedia Health Data Analysis

This study explores the athlete’s health status evaluation system based on an edge computing model and large-scale multimedia health data analysis in order to improve the assessment effect of athletes’ current health state.In addition to that, this research builds a wireless signal propagation model in edge areas using bicubic polynomial interpolation, improves the accuracy of dem data by using bicubic polynomial interpolation, and digitally represents the sports field by utilizing dem data.In addition to that, the model and dem data are utilized in this paper to realize the site selection process for base station networking.The experimental analysis demonstrates that the athletes’ health status evaluation system suggested in this research, which is based on the edge computing model and the large-scale multimedia health data analysis, has a good effect on the assessment of athletes’ health.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
AS-tDR-007872: A Novel tRNA-Derived Small RNA Acts an Important Role in Non-Small-Cell Lung Cancer

T rna-derived small rnas (also known as ts rnas) are novel kinds of non-coding rnas.Although ts rnas are aberrantly expressed in different tumor types, there is scanty of research investigating their expression profiling and functions in pulmonary adenocarcinoma (padc).We identified the expression of as-t dr-007872 in 30 non-small-cell lung carcinoma (nsclc) patients’ carcinoma tissues and conducted biological function evaluation.We also test the expression levels of as-t dr-007872 in plasma samples obtained from 35 healthy people and 79 nsclc cases.The results identified downregulated as-t dr-007872 in both cancer tissues and plasma samples versus adjacent normal counterparts ( p &lt; 0.05 ) and healthy controls ( p &lt; 0.001 ).The area under the curve of as-t dr-007872 was identified by receiver operating characteristic curve analysis to be 0.756 (95% ci, 0.663-0.849; p &lt; 0.001 ).Furthermore, overexpression of as-t dr-007872 in vitro inhibited tumor cell proliferation, invasion, and migration and promoted apoptosis.The knockdown of as-t dr-007872 showed the opposite results.Meanwhile, we found significantly downregulated bcl2l11 after overexpressing as-t dr-007872.From the above, our research suggests that as-t dr-007872 can be a tumor suppressor and a promising biomarker for diagnosing lung cancer.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Assistant Training System of Teenagers’ Physical Ability Based on Artificial Intelligence

The rapid development of artificial intelligence technology makes it widely used in various fields.In order to more scientifically assist teenagers in physical training, this paper develops a set of teenagers’ physical training system based on artificial intelligence technology.Firstly, the experimental platform is built, and the sensor nodes are connected with the test host through the serial port to collect data to the experimental platform.The system consists of target detection module, data analysis module, and human posture estimation module.The background modeling method based on vibe model is used to form the target detection module, and the canny edge detection algorithm is used to form the data analysis module.Finally, the posture auxiliary index is established to estimate the human posture.This paper makes a systematic application test on a youth sports team.The experimental group was trained with artificial intelligence-based physical training system, while the control group was trained with traditional training methods.Before the experiment, the physical fitness of the two groups of subjects were evaluated, including standing long jump, 50 meters sprint, 30 s single swing rope skipping, pull-up, and squat 1rm.After 3 and 6 weeks of training, the physical fitness was evaluated again.The experimental results show that the intelligent assistant system established in this paper can accurately show that the physiological load of the athlete is in line with the law of physiological function change.After six weeks of training, the standing long jump of the experimental group has been improved by 20.97 cm, the 50 meters dash has been accelerated by 1.21 s, the 30 second single swing rope has been increased by 13.76, the pull-up has been increased by 1.41, and the squat 1rm has been increased by 15.16.This shows that the auxiliary training system based on artificial intelligence can help young athletes improve their physical quality and enhance their sports skills.

Journal: Mathematical Problems in Engineering (2021)
Publication types: Research Article;
Application Value of MRI Combined with MSCT in Diagnosis and Staging of Colon Carcinoma

To clarify the application value of magnetic resonance imaging (mri) combined with multislice spiral computed tomography (msct) in the diagnosis and staging of colon carcinoma (cc).Methods.A total of 103 patients with histopathologically diagnosed cc were enrolled.Patient clinical and imaging data were collected, and mri and msct images were analyzed to assess the accuracy of mri, msct, and their combination in diagnosing tumor (t) staging of cc.Results.Among the 103 cases of histopathologically diagnosed cc, 26 cases (25.24) were in stage t1-2, 72 cases (69.90) were in stage t3, and 5 cases (4.85) were in stage t4.The accuracy of mri in diagnosing stage t1-2, t3, and t4 was 80.77%, 88.89%, and 60.00%, respectively, with an average of 76.55%.The accuracy rates of msct in diagnosing t1-2, t3, and t4 stages were 73.08%, 90.27%, and 60.00%, respectively, with an average of 74.45%.The accuracy rates of mri+msct in diagnosing t1-2, t3, and t4 were 88.46%, 95.83%, and 80.00%, respectively, with an average of 88.10%.Conclusions.Compared with single use of mri or msct, mri+msct provides accurate imaging data with higher accuracy, which is more helpful for the t-staging evaluation of cc.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Application Value of Emergency Bedside Echocardiography in Early Warning of Acute and Severe Shock and Clinical Classification

A case-control study was conducted to explore the application value of emergency bedside echocardiography in early warning of acute and severe shock and clinical classification.Methods.A total of 135 critically ill patients admitted to icu from august 2019 to november 2020 were divided into shock group ( n = 53 ) and nonshock group ( n = 82 ) according to the occurrence of shock.The internal diameter index of inferior vena cava was measured and recorded by bedside ultrasound in patients with shock before and after treatment and in patients without shock.Shock index and inferior vena cava diameter deformation index (sci) were calculated according to the results.The diagnostic time and curative effect of different ultrasonic examination methods for the types of shock were compared and analyzed.Results.At admission, the maximum and minimum ventilation of inferior vena cava in patients without shock were higher than those in the shock group, and the internal diameter deformation index of inferior vena cava in the shock group was higher than that in the shock group ( p &lt; 0.05 ).In the shock group, ivcmax and ivcmin before and after treatment were higher than those before resuscitation, while sci was lower than that before resuscitation.The results of roc curve analysis showed that sci and ivcmin were significantly better than ivcmax and ivcmin in predicting shock area and slightly better than ivcmin.There was significant difference in diagnosis time between the two groups ( p &lt; 0.05 ).The specificity, positive predictive value, and negative predictive value of emergency ultrasound diagnosis were lower than those of clinical diagnosis ( p &lt; 0.05 ).The sensitivity, specificity, positive predictive value, and negative predictive value of emergency ultrasound diagnosis were lower than those of clinical diagnosis ( p &lt; 0.05 ).The sensitivity and positive predictive value of the emergency ultrasound group were higher than those of the routine ultrasound group ( p &lt; 0.05 ).The diagnosis rate of shock type auc in the emergency ultrasound group was 0.854, and the diagnostic value was high.Conclusion.Ivcmax, ivcmin, and sci obtained by bedside ultrasound have certain clinical significance for the diagnosis and treatment of shock.Emergency bedside ultrasound examination and measurement of shock patients are helpful to quickly evaluate and identify the types of early shock.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Clinical Study;
Application Research and Analysis of Intelligent Sensors in Tennis Serving Technical Correction Equipment

The traditional tennis serving teaching correction method has been deeply rooted, and in the current teaching, the teaching method based on experience has been used for a long time, relying on the subjective consciousness of the coach to guide and supervise the technical movements of the athletes.It is said that to master the essentials of technical movements proficiently, it is necessary to carry out long-term and repetitive exercises according to the coach’s guidance.This situation seriously restricts the improvement of the level of teaching and training.To solve the above problems, the combined application of smart sensors and microsystem technology is used to sensing identify and intelligently correct the player serve technology.This article in the presentation part initially sums up the movement catch innovation and tennis serve innovation and development; then, at that point, in the strategy part presents the objective following calculation and normal denoising handling calculation; and then, at that point, in the trial part presents the person choice, exploratory program, plan astute sensor handling framework, and trial examination.This article mainly introduces the application, research, and analysis of smart sensors in tennis server technology correction equipment, to reduce the burden on players and coaches.This article proposes target following calculations, normal denoising handling calculations, and so on, which are utilized to lead research investigating the use of savvy sensors in tennis server innovation adjustment hardware.The trial aftereffects of this paper show that the normal acknowledgment exactness of the savvy sensor is 91.14%, and the acknowledgment precision is high, which can be better applied to the tennis serve innovation revision hardware.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
Application of Three-Dimensional Image Reconstruction Technology in Neurogenic Intestinal Nursing Tasks

Neurogenic intestinal care is currently a major research topic in the medical field.In order to improve the accuracy of neurogenic intestinal care and simplify the process of neurogenic intestinal care, this paper adopts a three-dimensional analysis theory to extract the key indicators in neurogenic intestinal care.Through the analysis and calculation of the test data, the calculation results of neurogenic intestinal care under the effect of three-dimensional reconstruction technology were obtained.Through the analysis of the results, the calculation law under the action of the optimization model can be obtained.Based on the three-dimensional reconstruction theory, the contents of neurogenic intestinal care were analyzed by the three-dimensional reconstruction de-highlighting algorithm.The three-dimensional curve was used to screen the key indicators of neurogenic intestinal care, so as to obtain the optimized heavy weight model, and the three-dimensional reconstruction model can analyze the indicators of neurogenic intestinal care.It can be seen from relevant studies that different indicators have different trends in their range of change in the curve projection diagram of the 3d curve screening method.Among them, the curve shadow and curve point have obvious downward changes, while the curve deviation has u-shaped changes.The range of curve weights is relatively large.The variation rule between different data in the 3d curve segment can be obtained through the cost function.Among them, the cost function index and the cost model parameter have the same change trend, and the overall fluctuation range is relatively small through the space index.In the calculation results of neurogenic intestinal care, different factors will have a great influence on the calculation results.Neurons and intestinal peristalsis have the same change trend, while the linear characteristics of nerve endings are relatively obvious, and the fluctuation characteristics of gastrointestinal digestion are good.The health standard decreases linearly with the increase of the sample, and the dynamic reconstruction has a positive effect on the data.This study can provide research ideas for the analysis of neurogenic gut.

Journal: Scientific Programming (2022)
Publication types: Research Article;
Application of Nursing Outcome-Oriented Integrated Zero-Defect Nursing Combined with Respiratory Function Training in Long-Term Bedridden Patients Undergoing Stroke

To explore the application effect of nursing outcome-oriented integrated zero-defect nursing combined with respiratory function training in long-term bedridden patients with stroke.Methods.A total of 120 long-term bedridden patients with stroke were randomly divided into three groups: groups a, b, and c.Group a was given nursing outcome-oriented integrated zero-defect nursing combined with respiratory function training, group b was given nursing outcome-oriented integrated zero-defect nursing, and group c was given routine nursing.Rosenbek aspiration degree classification criteria were used to evaluate the incidence of aspiration; blood oxygen saturation, arterial oxygen partial pressure, and respiratory pressure were compared before and after the intervention.The swallowing function was evaluated by a water swallowing test (wst).The quality of life was assessed using the generic quality of life inventory-74 (gqoli-74).Results.After treatment, the rosenbek aspiration degree of groups a and b were better than those of group c ( p &lt; 0.05); the improvement degree of respiratory function indexes in group a was better than those in b and c, and the blood oxygen saturation and arterial blood oxygen partial pressure in group b were better than those in c ( p &lt; 0.05).The incidence of complications in groups a and b was lower than that in c, and complications in group a were lower than that in b ( p &lt; 0.05).After treatment, the scores of psychological function, social function, and material life status of the three groups were increased, and each score of groups a and b was higher than that of c, and each score of group a was higher than that of b ( p &lt; 0.05).Conclusion.Nursing outcome-oriented integrated zero-defect nursing combined with respiratory function training can effectively improve aspiration, respiratory function, swallowing function, complication rate, and quality of life in long-term bedridden patients with stroke.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Application of Multi-Measurement Vector Based on the Wireless Sensor Network in Mechanical Fault Diagnosis

In order to solve the problem of low positioning accuracy of mechanical fault diagnosis, a polarization gpr imaging reconstruction algorithm based on the mmv model was proposed.The algorithm was mainly based on the joint processing of the measured data of multiple polarization channels to achieve the reconstruction of the reflectance of the detection scene corresponding to each polarization channel.The simulation data processing results based on fdtd showed that compared with the traditional smv model polarization imaging algorithm, the proposed imaging algorithm could improve the accuracy of target location reconstruction and the ability of background clutter suppression significantly.Compared with the smv model, tcr obtained by the mmv model increased by 30%.As for the imaging results at different noise ratios, tcr obtained by the mmv model was 10% higher than that obtained by the smv model.And when the ratio of available real data samples decreased to 25%, the sample data generation based on the adversarial generation network could greatly improve the classification accuracy of the fault diagnosis model.It could realize the detection of the target better, so as to locate faults accurately.

Journal: Mathematical Problems in Engineering (2022)
Publication types: Research Article;