syedzayyan/paper_mill_benchmark huggingface dataset:
Investigation and Analysis of the Status Quo of Competitive Aerobics Based on the Big Data of the Internet of Things

Big data refers to a large amount of diverse digital information that requires new processing modes to have higher decision-making power.Big data is known for its large capacity, complex types, and high application value.At present, big data is also considered as a modern service technology.The internet of things technology originated from the third scientific and technological revolution, which refers to the connection of objects and networks through information sensor devices according to agreed protocols.Competitive aerobics is a sport that can perform continuous, complex, and high-intensity complete sets of movements under the accompaniment of music.The complete set of competitive aerobics combines four sets of difficulty to demonstrate the strength, balance, and flexibility of the athletes, and through the continuous combination of movements, it shows the diversity of the seven steps of competitive aerobics and the coherence of the calisthenic movements.The purpose of this paper is to investigate the current situation of competitive aerobics based on the big data of the internet of things.It is expected that, through the io t and big data technology, the current situation of aerobics competition will be investigated and analyzed, the current industry situation will be analyzed, and the scientific and reasonable training methods of competitive aerobics will be explored.This paper uses a questionnaire to investigate the competitive aerobics, analyzes the problems and deficiencies reflected in the questionnaire, and proposes feasible countermeasures.The experimental results of this paper show that there are 20 coaches with undergraduate education, accounting for 49%.Therefore, in the recruitment of coaches, education and experience must be combined; it is normal for athletes to train 2–3 times a day, and the training frequency can be adjusted according to individual circumstances.

Journal: Security and Communication Networks (2022)
Publication types: Research Article;
Intelligent Solutions in Chest Abnormality Detection Based on YOLOv5 and ResNet50

Computer-aided diagnosis (cad) has nearly fifty years of history and has assisted many clinicians in the diagnosis.With the development of technology, recently, researches use the deep learning method to get high accuracy results in the cad system.With cad, the computer output can be used as a second choice for radiologists and contribute to doctors doing the final right decisions.Chest abnormality detection is a classic detection and classification problem; researchers need to classify common thoracic lung diseases and localize critical findings.For the detection problem, there are two deep learning methods: one-stage method and two-stage method.In our paper, we introduce and analyze some representative model, such as rcnn, ssd, and yolo series.In order to better solve the problem of chest abnormality detection, we proposed a new model based on yolov5 and res net50.Yolov5 is the latest yolo series, which is more flexible than the one-stage detection algorithms before.The function of yolov5 in our paper is to localize the abnormality region.On the other hand, we use res net, avoiding gradient explosion problems in deep learning for classification.And we filter the result we got from yolov5 and res net.If res net recognizes that the image is not abnormal, the yolov5 detection result is discarded.The dataset is collected via vin big data’s web-based platform, vin lab.We train our model on the dataset using pytorch frame and use the m ap, precision, and f1-score as the metrics to evaluate our model’s performance.In the progress of experiments, our method achieves superior performance over the other classical approaches on the same dataset.The experiments show that yolov5’s m ap is 0.010, 0.020, 0.023 higher than those of yolov5, fast rcnn, and efficient det.In addition, in the dimension of precision, our model also performs better than other models.The precision of our model is 0.512, which is 0.018, 0.027, 0.033 higher than yolov5, fast rcnn, and efficient det.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;
Intelligent Enhancement Algorithm-Based High Resolution CT Image in Evaluation of Expelling Wind and Relieving Cough and Asthma Prescription on Bronchial Asthma with High Immunoglobulin E Expression

The therapeutic effect of expelling wind and relieving cough and asthma prescription on bronchial asthma with high immunoglobulin e (ig e) expression was studied based on high resolution ct (hrct) images of intelligent enhancement algorithm.90 patients with bronchial asthma were randomly divided into control group ( n = 45 ) and therapy group ( n = 45 ).The control group was given budesonide inhalation.The therapy group was treated with expelling wind and relieving cough and asthma prescription on the basis of the treatment in the control group.Both groups were given 1 month of treatment time.The scanned images were processed by image enhancement algorithm, and the image quality and distribution separation measurement (dsm) were used as image evaluation indicators.The bronchial wall thickness (wt), inner diameter (l), wall area (wa), and percentage of wall area (wa%) were used as quantitative indicators of airway remodeling.The changes of traditional chinese medicine (tcm) score before and after treatment were recorded and analyzed.The changes of serum ig e indicators before and after treatment were recorded.Results: the image quality of hrct image enhancement algorithm was better, and the dsm was 36.7 larger than that of the control group.It was found that after 1 month of treatment, the tcm symptom score of the therapy group was lower than that of the control group ( p &lt; 0.05 ), and compared with the control group, the ig e level of the therapy group was also reduced.Meanwhile, compared with the control group, the wt of segmental bronchial wall in the therapy group decreased, and the wt of left apical bronchus was smaller than that in the control group ( p &lt; 0.05 ), and the wt of subsegmental bronchus decreased significantly ( p &lt; 0.05 ).The l of segmental bronchus and subsegmental bronchus in the therapy group was wider ( p &lt; 0.05 ).The wa of segmental bronchus and subsegmental bronchus decreased, but there was no statistical significance ( p &gt; 0.05 ).Compared with the control group, the wa percentage of segmental bronchus and the wa percentage of subsegmental bronchus in the therapy group were significantly lower ( p &lt; 0.05 ).In conclusion, image enhancement algorithm can improve the hrct image quality of patients with bronchial asthma, which is helpful to improve the diagnostic efficiency in clinical treatment.Expelling wind and relieving cough and asthma prescription has a better therapeutic effect on bronchial asthma with high ig e expression.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Clinical Study;
Intelligent Data Analytics for Diagnosing Melanoma Skin Lesions via Deep Learning in IoT System

Melanoma is considered to be one of the most dangerous human malignancy, which is diagnosed visually or by dermoscopic analysis and histopathological examination.However, as these traditional methods are based on human experience and implemented manually, there have been great limitations for general usability in current clinical practice.In this paper, a novel hybrid machine learning approach is proposed to identify melanoma for skin healthcare in various cases.The proposed approach consists of classic machine learning methods, including convolutional neural networks (cnns), efficient net, and xgboost supervised machine learning.In the proposed approach, a deep learning model is trained directly from raw pixels and image labels for classification of skin lesions.Then, solely based on modeling of various features from patients, an xgboost model is adopted to predict skin cancer.Following that, a diagnostic system which composed of the deep learning model and xgboost model is developed to further improve the prediction efficiency and accuracy.Different from experience-based methods and solely image-based machine learning methods, the proposed approach is developed based on the theory of deep learning and feature engineering.Experiments show that the hybrid model outperforms single model like the traditional deep learning model or xgboost model.Moreover, the data-driven-based characteristics can help the proposed approach develop a guideline for image analysis in other medical applications.

Journal: Mobile Information Systems (2021)
Publication types: Research Article;
Intelligent Algorithm-Based Quantitative Electroencephalography in Evaluating Cerebral Small Vessel Disease Complicated by Cognitive Impairment

To analyze the application value of artificial intelligence model based on visual geometry group- (vgg-) 16 combined with quantitative electroencephalography (qeeg) in cerebral small vessel disease (csvd) with cognitive impairment, 72 patients with csvd complicated by cognitive impairment were selected as the research subjects.As per diagnostic and statistical manual (5th edition), they were divided into the vascular dementia (vd) group of 34 cases and vascular cognitive impairment with no dementia (vcind) group of 38 cases.The two groups were analyzed for the clinical information, neuropsychological test results, and monitoring results of qeeg based on intelligent algorithms for more than 2 hours.The accuracy rate of vgg was 84.27% and kappa value was 0.7, while that of modified vgg (n vgg) was 88.76% and kappa value was 0.78.The improved vgg algorithm obviously had higher accuracy.The test results found that the qeeg identified 8 normal, 19 mild, 10 moderate, and 0 severe cases in the vcind group, while in the vd group, the corresponding numbers were 4, 13, 11, and 7; in the vcind group, 7 cases had the normal qeeg, 11 cases had background changes, 9 cases had abnormal waves, and 11 cases had in both background changes and abnormal waves, and in the vd group, the corresponding numbers were 5, 2, 5, and 22, respectively; in the vcind group, qeeg of 18 patients had no abnormal waves, qeeg of 11 patients had a few abnormal waves, and qeeg of 9 patients had many abnormal waves, and qeeg of 0 people had a large number of abnormal waves, and in the vd group, the corresponding numbers were 7, 6, 12, and 9.The above data were statistically different between the two groups ( p &lt; 0.05 ).Hence, qeeg based on intelligent algorithms can make a good assessment of csvd with cognitive impairment, which had good clinical application value.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Integrated Analysis of Circular RNA-Associated ceRNA Network Reveals Potential circRNA Biomarkers in Human Breast Cancer

Circular rna (circ rna) is closely related to tumorigenesis and cancer progression.Yet, the roles of cancer-specific circ rnas in the circ rna-related ce rna network of breast cancer (brca) remain unclear.The aim of this study was to construct a ce rna network associated with circ rna and to explore new therapeutic and prognostic targets and biomarkers for breast cancer.We downloaded the circ rna expression profile of brca from gene expression omnibus (geo) microarray datasets and downloaded the mi rna and m rna expression profiles of brca from the cancer genome atlas (tcga) database.Differentially expressed m rnas (dem rnas), differentially expressed mi rnas (demi rnas), and differentially expressed circ rnas (decirc rnas) were identified, and a competitive endogenous rna (ce rna) regulatory network was constructed based on circ rna–mi rna pairs and mi rna–m rna pairs.Gene ontology and pathway enrichment analyses were performed on m rnas regulated by circ rnas in ce rna networks.Survival analysis and correlation analysis of all m rnas and mi rnas in the ce rna network were performed.A total of 72 decirc rnas, 158 demi rnas, and 2762 de m rnas were identified.The constructed ce rna network contains 60 circ rna–mi rna pairs and 140 mi rna–m rna pairs, including 40 circ rnas, 30 mi rnas, and 100 m rnas.Functional enrichment indicated that dem rnas regulated by decirc rnas in ce rna networks were significantly enriched in the pi3k-akt signaling pathway, micro rnas in cancer, and proteoglycans in cancer.Survival analysis and correlation analysis of all m rnas and mi rnas in the ce rna network showed that 13 m rnas and 6 mi rnas were significantly associated with overall survival, and 48 mi rna–m rna interaction pairs had a significant negative correlation.A ppi network was established, and 21 hub genes were determined from the network.This study provides an effective bioinformatics basis for further understanding of the molecular mechanisms and predictions of breast cancer.A better understanding of the circ rna-related ce rna network in brca will help identify potential biomarkers for diagnosis and prognosis.

Journal: Computational and Mathematical Methods in Medicine (2021)
Publication types: Research Article;
Inhibition of miR-15a-5p Promotes the Chemoresistance to Pirarubicin in Hepatocellular Carcinoma via Targeting eIF4E

Chemoresistance has become a primary hurdle in the therapeutic outcome of hepatocellular carcinoma.Substantial evidences have demonstrated that micro rnas (mi rnas) are closely associated with the chemoresistance of hepatocellular carcinoma (hcc).Our investigation is aimed at testifying the influence of micro rna-15a-5p (mi r-15a-5p)/eukaryotic translation initiation factor 4e (e if4e) on hepatocellular carcinoma resistance to pirarubicin (thp).In our study, mi r-15a-5p expression was increased in thp-treated hep g2 cells.Downregulation of mi r-15a-5p blocked cell growth and elevated cell apoptosis of hep g2 cells treated with thp.Moreover, e if4e was verified as a direct target of mi r-15a-5p by binding its 3 ′ -utr, which was confirmed by luciferase report experiment.Additionally, e if4e was negatively associated with the mi r-15a-5p expression in hep g2 cells.Mechanically, e if4e was proven as a specific downstream of mi r-15a-5p and mediated the effects of mi r-15a-5p on cell viability and apoptosis of hep g2 cells treated with thp.These findings supported that mi r-15a-5p facilitated thp resistance of hepatocellular carcinoma cells by modulating e if4e, thus providing an experimental basis that mi r-15a-5p might act as a novel diagnostic target in hepatocellular carcinoma resistance to thp.

Journal: Computational and Mathematical Methods in Medicine (2021)
Publication types: Research Article;
Influencing Factors of Gastrointestinal Function Recovery after Gastrointestinal Malignant Tumor

Gastric cancer is a malignant tumor with a high incidence in the world, and the incidence rate only increases every year.Because of the loss of mental property caused by surgery and postoperative recovery treatment, it has become a difficult problem for many families to solve.Exploring the factors affecting the recovery of gastrointestinal function after surgery to accelerate the recovery has become one of the important research topics of current medical experts and scholars.The purpose of this article is to explore the factors affecting the recovery of gastrointestinal function after gastrointestinal malignancies.In this paper, firstly through experimental investigation, the fasting time and operation method of patients undergoing gastrointestinal malignant tumor surgery are used as variables to conduct a controlled experiment, and the first defecation time, exhaust time, and bowel sound recovery of the experimental subjects after surgery are recorded.Changes in time and other indicators are compared to verify whether they affect the recovery of gastrointestinal function.Experimental data showed that the recovery time of bowel sounds was 29.10 ± 11.09 h in patients with fasting time less than or equal to 2 days after operation, the time of first exhaustion was 28.75 ± 27.80 h, and the time of first defecation was 54.70 ± 39.40 h.The recovery time of bowel sounds in patients with fasting time longer than 2 days was 40.47 ± 9.40 h, the first exhaust time was 71.40 ± 17.54 h, and the first defecation time was 98.30 ± 28.16 h.Therefore, resuming diet as soon as possible after operation is beneficial to the recovery of gastrointestinal function in patients with gastrointestinal malignancies.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Clinical Study;
Influence of Mindfulness and Relaxation on Treatment of Essential Hypertension: Meta-Analysis

Some studies published previously have shown a strong correlation between hypertension and psychological nature including impulsion emotion or mindfulness and relaxation temperament, among which mindfulness and relaxation temperament might have a benign influence on blood pressure, ameliorating the hypertension.However, the conclusion was not confirmed.Objective.The meta-analysis was performed to investigate the influence of mindfulness and relaxation on essential hypertension interventions and confirm the effects.Methods.Systematic searches were conducted in common english and chinese electronic databases (i.e., pub med/medline, embase, web of science, cinahl, psyc info, cochrane library, and chinese biomedical literature database) from 1980 to 2020.A meta-analysis including 5 studies was performed using rev man 5.4.1 software to estimate the influence of mindfulness and relaxation on blood pressure, ameliorating the hypertension.Publication bias and heterogeneity of samples were tested using a funnel plot.Studies were analyzed using either a random-effect model or a fixed-effect model.Results.All the 5 studies investigated the influence of mindfulness and relaxation on diastolic and systolic blood pressure, with total 205 participants in the control group and 204 in the intervention group.The random-effects model (rem) was used to calculate the pooled effect for mindfulness and relaxation on diastolic blood pressure (i2 = 0%, t2 = 0.000, p = 0.41 ).The random pooled effect size (md) was 0.30 (95% ci = −0.81–1.42, p = 0.59 ).Rem was used to calculate the pooled effect for mindfulness and relaxation on systolic blood pressure (i2 = 49%, t2 = 3.05, p = 0.10 ).The random pooled effect size (md) was −1.05 (95% ci = −3.29–1.18, p = 0.36 ).The results of this meta-analysis were influenced by publication bias to some degree.Conclusion.All the results showed less influence of mindfulness and relaxation might act on diastolic or systolic blood pressure, when mindfulness and relaxation are used to intervene in treating cvd and hypertension.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Meta-Analysis;
IL2RB Is a Prognostic Biomarker Associated with Immune Infiltrates in Pan-Cancer

Interleukin-2 receptor β (il2rb) is a receptor protein of interleukin-2.Il2rb is implicated in regulation of t cell-mediated immune response.However, the role of il2rb in pan-cancer is unknown.The present premise sought to explore the role of il2rb in tumorigenesis, tumor metabolism, and tumor immunity in pan-cancer.Methods.Data were retrieved from multiple data resources including gtex data resource, ccle data resource, tcga data resource, ucsc data resource, and tisidb web server.These data were adopted to assess the expression, prognosis value, relationship between il2rb and immune microenvironment, microsatellite instability, immune new antigen, gene mutation, immune modulatory factors immune checkpoint and tmb, and immune or molecular subtypes of il2rb in various tumors.Estimate analysis and gsea were conducted to assess the role of il2rb in pan-cancer.Results.Differential analysis illustrated that l2rb was remarkably elevated in pan-cancer, notably in solid tumors compared with normal tissues.Survival analysis indicated that il2rb was linked to pan-cancer prognosis, and elevated il2rb contents were remarkably linked to dismal prognosis patients in diverse kinds of cancers.The findings illustrated that il2rb contents were remarkably linked to tumor immune invasion, tumor microenvironment, tmb, msi, dna repair genes, methyl transferases, immune modulatory factors, and immune or molecular subtypes in pan-cancer.Il2rb gene mutation was evident in numerous cancers.The data illustrated that il2rb contents were remarkably enriched in multiple signaling cascades which modulate tumorigenesis, tumor metabolism along with immunity.Conclusion.The findings of the present premise illustrate that il2rb plays an indispensible role in tumorigenesis, tumor metabolism, and immunity.Therefore, it is a prospective target gene in tumor-target therapy and tumor immune therapy.Il2rb is also a valuable predictive biomarker in most solid tumors.

Journal: Journal of Oncology (2022)
Publication types: Research Article;
In Vitro Activity of Various Sulbactam Compounds and Piperacillin/Tazobactam against Clinical Isolates of Different Gram-Negative Bacteria

To provide direction for clinical application and pharmaceutical exploitation, the in vitro activity of sulbactam compounds and pip/taz 8 : 1 against clinical isolates of gram-negative bacteria (gnb, n = 976 ) was evaluated according to clinical and laboratory standards institute (clsi) 2019.By minimal inhibitory concentrations (mics), the resistance rate of all gnb to amp/sbt 2 : 1 (56.9-100%) was significantly higher than other drugs, except the resistance rate of acinetobacter baumannii (aba, n = 204 ) to piperacillin/tazobactam (pip/taz 8 : 1, 78.4%) which was close to it (76.5%).Additionally, the resistance rate of aba to other compounds except amp/sbt 2 : 1 differed greatly, but that of klebsiella pneumonia (kpn, n = 205 ) varied rarely.In addition, escherichia coli (eco, n = 204 ) and kpn demonstrated low and high resistance rates, respectively.Compared with cefoperazone/sulbactam (cpz/sbt 2 : 1), pip/taz 8 : 1 had advantage in anti-eco ( rr = 0.5 and or = 2.17 ) and anti-kpn activity ( rr = 0.88 and or = 1.27 ), while its activity against pseudomonas aeruginosa (pae: n = 194 , rr = 0.91 , and or = 1.12 ), aba ( rr = 1.31 and or = 0.41 ), and other enterobacteriaceae (other ebc: n = 169 , rr = 1.40 , and or = 0.62 ) was not better than cpz/sbt 2 : 1.Although it had advantage against eco ( rr = 0.60 and or = 1.78 ), pae ( rr = 0.67 and or = 1.63 ), and aba ( rr = 0.70 and or = 2.05 ), the inhibition effect of piperacillin/sulbactam (pip/sbt 2 : 1) against kpn ( rr = 0.94 and or = 1.12 ) and other ebc was just similar with cpz/sbt 2 : 1 ( rr = 0.93 and or = 1.10 ).Furthermore, the anti-eco ( rr = 0.70 and or = 1.50 ), anti-kpn ( rr = 0.89 and or = 1.24 ), and anti-pae ( rr = 0.74 and or = 1.46 ) activities of ceftazidime/sulbactam (caz/sbt 1 : 1) had a weak advantage, while its activity against aba ( rr = 0.94 and or = 1.15 ) and other ebc ( rr = 0.79 and or = 1.36 ) was just close to cpz/sbt 2 : 1.Moreover, the inhibitory effect of pip/sbt 1 : 1 against all tested clinical species was more active than cpz/sbt 2 : 1, while that of caz/sbt 2 : 1 against all species of bacteria analyzed was weaker than the controls.

Journal: Computational and Mathematical Methods in Medicine (2021)
Publication types: Research Article;