syedzayyan/paper_mill_benchmark huggingface dataset:
Real-Time Monitoring and Early Warning Algorithm of Ozone + Nitrogen Oxides in High-Density Residential Space Based on Big Data

In order to monitor ozone and nitrous oxide pollutants in residential space, artificial intelligence algorithm is integrated on the basis of traditional monitoring mode.Through the comparison of system detection accuracy and early warning sensitivity of different detection methods, it can be seen that the application of artificial intelligence detection system can improve the monitoring performance of ozone and realize the timeliness of large-scale monitoring coverage and data update.The accuracy and sensitivity of system detection under the two detection methods are analyzed, and the main harm caused by ozone pollution is analyzed.The significance of monitoring ozone pollution in ambient air is emphasized.The air index of high-density residential space using intelligent big data detection method is obviously superior to previous detection methods in terms of timeliness, accuracy, and early warning sensitivity of the system.It also provides an important data reference for the real-time monitoring and early warning of ozone + nitrogen oxides in high-density residential space, and also makes an important contribution to reducing the impact on residents’ health and living environment.

Journal: Mobile Information Systems (2022)
Publication types: Research Article;
Real-Time Detection of Body Nutrition in Sports Training Based on Cloud Computing and Somatosensory Network

With the progress of society and the improvement of living standards, sports training has gradually become an area of increasing concern for society and individuals.To more comprehensively grasp the physical function, body shape, and physical fitness of athletes, many researchers have conducted extensive research on the real-time detection of human body nutrition.This study is mainly supported by cloud computing and somatosensory network technology, and the real-time detection of human body composition in sports training is the main research object.In the experiment, two methods of human body composition detection were tested: the bia method and the body composition analysis method based on the electrochemical sensor of body sweat.It designed a human nutrient composition detection system based on the bia method.The error rate of the system is relatively small, which is basically maintained at about 2%.It uses a body surface sweat electrochemical sensor to detect changes in glucose concentration during human exercise.After exercising for a period of time, the test subject’s sweat glucose concentration remained around 0.5 m m.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Prognostic Value of Creatine Phosphate and Inflammatory Markers for Mitral Valve Replacement: A Systematic Review and Meta-Analysis

The prognosis of mitral valve replacement is an important clinical issue and may produce unexpected mortality rates if not properly addressed.The postoperative examination results have important prognostic implications.This study was designed to determine the prognostic value of phosphocreatine and inflammatory markers after mitral valve replacement.Method.Comparison and analysis of the data obtained using spss software.The computer retrieved pub med, science citation index (sci), embase, vip, cnki, cbm, and wanfang database and manually retrieved randomized controlled trials (rcts) published at home and abroad on the central muscle protection role of creatine phosphate in heart valve replacement, and the search period was established until february 2018.Two random literature reviewers independently screened the literature and extracted data, using review manager (rev man) (computer program), version 5.3 (the nordic cochrane centre, the cochrane collaboration, copenhagen, 2014).Rev man software version 5.0 assesses the risk of bias for inclusion in studies.The software performs a meta-analysis of the obtained data.Results.Ten rcts with a total of 464 participants were enrolled.The meta-analysis results showed that (1) elevated creatine kinase levels often predict a better prognosis after mitral valve replacement ( rr = 1.36 , 95% ci: 1.22 to 1.52, p &lt; 0.00001 ), (2) the creatine kinase isoenzyme level in the venous blood of the phosphocreatine group after 24 h of aortic blocking was significantly lower than that in the control group ( smd = − 2.90 , 95% ci: -5.19 to -0.60, p = 0.01 ), and (3) troponin i levels were significantly lower in the intravenous creatine group than in the control group 24 h after opening of the aortic block ( smd = − 1.49 , 95% ci: -2.02 to -0.97, p &lt; 0.00001 ).Conclusions.Creatine phosphate and inflammatory factor have good predictive value for the prognosis of mitral valve replacement.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Meta-Analysis;
Prevention and Treatment of Cardiovascular Diseases with Plant Phytochemicals: A Review

Cardiovascular diseases (cvds) are the world’s leading killers, accounting for 30% deaths.According to the who report, cvds kill 17.9 million people per year, and there will be 22.2 million deaths from cvd in 2030.The death rates rise as people get older.Regarding gender, the death rate of women by cvd (51%) is higher than that of men (42%).To decrease and prevent cvd, most people rely on traditional medicine originating from the plant (phytochemicals) in addition to or in preference to commercially available drugs to recover from their illness.The cvd therapy efficacy of 92 plants, including 15 terrestrial plants, is examined.Some medicinal plants well known to treat cvd are, daucus carota, nerium oleander, amaranthus viridis, ginkgo biloba, terminalia arjuna, picrorhiza kurroa, salvia miltiorrhiza, tinospora cordifolia, mucuna pruriens, hydrocotyle asiatica, bombax ceiba, and andrographis paniculate.The active phytochemicals found in these plants are flavonoids, polyphenols, plant sterol, plant sulphur compounds, and terpenoids.A general flavonoid mechanism of action is to prevent low-density lipoprotein oxidation, which promotes vasodilatation.Plant sterols prevent cvd by decreasing cholesterol absorption in the blood.Plant sulphur compound also prevent cvd by activation of nuclear factor-erythroid factor 2-related factor 2 (nrf2) and inhibition of cholesterol synthesis.Quinone decreases the risk of cvd by increasing atp production in mitochondria while terpenoids by decreasing atherosclerotic lesion in the aortic valve.Although several physiologically active compounds with recognized biological effects have been found in various plants because of the increased prevalence of cvd, appropriate cvd prevention and treatment measures are required.More research is needed to understand the mechanism and specific plants’ phytochemicals responsible for treating cvd.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Review Article;
Preliminary Study on the Therapeutic Effect of Doxorubicin-Loaded Targeting Nanoparticles on Glioma

Doxorubicin (dox) is an anthracycline anticancer drug, which is often associated with drug resistance and cytotoxicity.More unfortunately, the biological barrier in the human environment can weaken the efficacy of dox, such as the blood-brain barrier (bbb).This work attempts to make efforts to solve this problem.We used polyethylene glycol distearoylphosphatidylethanolamine (peg-dspe) as a nanocarrier and dox as a model drug to construct a composite nanodrug (tf-peg-dspe/dox nps) by coupling transferrin (tf).The results of glioma experiments show that the nanodrug can effectively penetrate bbb to achieve an antitumor effect.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Postoperative Curative Effect of Cardiac Surgery Diagnosed by Compressed Sensing Algorithm-Based E-Health CT Image Information and Effect of Baduanjin Exercise on Cardiac Autonomic Nerve Function of Patients

This research was aimed at exploring the effect of ct images reconstructed by optimized compressed sensing algorithm on postoperative diagnosis of patients with hypertensive heart disease and the influence of baduanjin on cardiac autonomic nerve function.Based on the compressed sensing algorithm, the maximum likelihood expectation maximization algorithm was introduced to optimize it, and the optimization algorithm was established.The optimized algorithm and filtered back projection algorithm (fbp) were compared regarding the root mean squared error (rmse), peak signal-to-noise ratio (psnr), and structural similar image metric (ssim).A total of 126 patients with hypertensive heart disease who underwent ct examination in the hospital were selected as study subjects.According to whether baduanjin intervention was adopted, patients were divided into observation group (conventional treatment +baduanjin) and control group (conventional treatment), with 63 patients in each group.The effect of ct examination on postoperative diagnosis was analyzed.Systolic blood pressure (sbp), diastolic blood pressure (dbp), differential pressure (dp), respiratory rate and heart rate (hr), very low-frequency (vlf) power, low-frequency (lf) power, high-frequency (hf) power, total power (tp) of hr variability, and changes in lf/hf of patients before and after treatment were compared.The rmse of the compressed sensing optimization algorithm ( 3.28 ± 0.36 ) was significantly lower than that of the fbp algorithm ( 9.25 ± 1.03 ) ( p &lt; 0.05 ).The ssim and pnsr of the compressed sensing optimization algorithm were ( 0.87 ± 0.10 ) and ( 21.22 ± 1.60 ) d b, respectively.The ssim was significantly higher than the fbp algorithm ( p &lt; 0.01 ), and the pnsr was also higher than the fbp algorithm ( p &lt; 0.05 ).The detection rate of ct for pleural effusion was 16 cases (25.40%) higher than 5 cases (7.94%) with tte ( p &lt; 0.01 ).After treatment, sbp, dbp, hr, lf, vlf, lf/hf, and dp values in the observation group were lower than those in the control group ( p &lt; 0.05 ), and tp and hf were higher than those in the control group ( p &lt; 0.05 ).It suggested that a novel algorithm was established based on compressed sensing algorithm to improve image quality.Ct image had important guiding significance for postoperative diagnosis of heart.Baduanjin intervention could improve the integrated function of patient’s autonomic nervous system and the regulation ability of the vagus nerve.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Clinical Study;
Position of the Hyoid Bone in Anteroposterior Skeletal Patterns

Introduction.Hyoid bone plays a vital role in the craniofacial dynamics.From the maintenance of pharyngeal airway to phonation, deglutition, and mandibular movements, it has multifactorial roles to fulfill.The hyoid bone has a spatial relationship with cranial base, mandible, and cervical vertebrae.This study was performed to determine the position of the hyoid bone in different anteroposterior growth patterns.Materials and methods.75 lateral cephalograms belonging to all three sagittal skeletal patterns were evaluated in the study.The angular and linear measurements using 10 variables were made to determine the relationship of the hyoid bone with different craniofacial structures.Spss was used to calculate the descriptive statistics, mean, and standard deviation of all the linear and angular variables.The analysis of variance (anova) and post hoc test were used to compare the means of linear and angular measurement and multiple comparisons, respectively, at p &lt; 0.05 significance level.Results.There was no significant difference in the mean angular measurements (nsh and mph) between the 3 groups ( p &gt; 0.05 ).Also, the multiple comparisons showed no significant difference between the linear measurements (h-fh, h-mp, h-h′, and h-n).However, there was a significant difference in three linear measurements: h-rgn, rgn-c3, and c3-h.The values were more in class iii subjects, compared to class i and class ii.Conclusion.The linear millimetric distance between points h-rgn, rgn-c3, and c3-h which determine the relationship and spatial position of the hyoid bone with the mandible and third cervical vertebrae was statistically significant among groups.The values were more in class iii subjects inferring the anterior position of the hyoid bone.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;
Percutaneous Microwave Coagulation Therapy: A Promising Therapeutic Method for Breaking the Barrier of the Intertumor Heterogeneity

Intertumor heterogeneity is common in various cancers and has been widely accepted as the primary cause of the diversity and variation of the effect of the same treatment on patients with the same type of tumor.Percutaneous microwave coagulation therapy (pmct) is a minimally invasive and effective approach for destroying tumors by microwave beam under image guidance, which has been applied in lung cancer.However, no previous study has investigated the capability of pmct solving intertumor heterogeneity.Here, we performed a component analysis of four lung cancer patients’ tumor microenvironment (tme) via single-cell rna sequencing (sc rna-seq) and treated all four cases with pmct.One patient’s tme could be classified into a hot tumor, mainly proinflammatory cytokines, and t cell infiltration.The other three patients’ tmes were cold tumors, where immunosuppressive cells occupied a large proportion, including tumor-associated macrophages and cancer cells.Despite a high level of heterogeneity among their tumor microenvironment compositions, disease type and stage, and basic physical conditions, all four patients presented a stable disease (sd) without any cancer cell detected in the tme of cancer tissues after pmct.In conclusion, this report uniquely contributed to the knowledge of the pmct adaptation to tumor heterogeneity.Therefore, pmct is promising to demonstrate a stable and robust antitumor efficacy in unresectable lung cancers with various tmes.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;
OX40-Fc Fusion Protein Alleviates PD-1-Fc-Aggravated Rheumatoid Arthritis by Inhibiting Inflammatory Response

Researches have confirmed that the abnormal signals of ox40 and pd-1 lead to the changes of t cell biological behavior, thus participating the immunopathological process of ra.However, the pathogenesis of ra immunopathological process has not been clarified yet.Methods.30 dba/1 mice were randomly divided into 5 groups (6 mice per group): control group, collagen-induced arthritis (cia) group, pd-1-fc/cia group, ox40-fc/cia group, and pd-1-fc + ox40-fc/cia group.The pathological changes in mice joints were observed by h&amp;e staining.The proportion of cd4+ t, cd8+ t, cd28+, and cd19+ cells in peripheral blood mononuclear cells (pbmcs) was detected by flow cytometry.Serum inflammatory factors (crp, il-2, il-4, il-1β, inf-γ) and bone metabolism-related genes (ctx-i, tracp-5b, balp) were detected by elisa assay.Western blotting was applied to measure the nf-κb signaling pathway-related protein (p-ikkβ, p-iκbα, p50) expression in synovial tissue of mice joint.Results.Compared with the control group, cia mice showed significant increases in arthritis score and pathological score.In the cia group, a marked decrease was identified in the proportion of cd8+ t, cd19+, and cd68+ cells.Additionally, the cia group was associated with upregulation of secretion of inflammatory factors in serum and expression of bone metabolism-related genes and nf-κb pathway-related proteins.Compared with the cia group, the same indexes above showed a further aggravation in the pd-1-fc group while all indexes improved in the ox40-fc group.Besides, ox40-fc fusion protein slowed down significantly the further deterioration of cia mouse pathological process caused by pd-1-fc fusion protein.Conclusion.Ox40-fc fusion protein alleviates pd-1-fc-aggravated ra by inhibiting inflammatory response.This research provides biological markers with clinical significance for diagnosis and prognosis of ra, as well as offers theoretical and experimental foundation to the new targets for immune intervention.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Observation on the Efficacy of Shouhui Tongbian Capsule in the Treatment of Functional Constipation and Study on Its Regulatory Effect on Intestinal Flora

Functional constipation is relatively common in both adults and children, exhibiting similar symptoms.However, there are significant differences in the epidemiology, symptomatology, pathophysiology, diagnostic tests, and treatment management of functional constipation by age.The treatment of functional constipation is generally based on lifestyle interventions, pelvic floor interventions, and pharmacotherapy.Pharmacological treatment is popular as the most direct and effective modality, especially the herbal preparations (e.g., shouhui tongbian capsule), which are popular for their lower toxic side effects and less physiological reactions.In our clinical study, patients with functional constipation who took shouhui tongbian capsules for a longer period of time showed significantly better improvement than those who took them for a shorter period of time ( p &lt; 0.001 ).Relative to the duration of the disease, the improvement effect was higher in patients with short duration of the disease than in patients with long duration of the disease ( p &lt; 0.001 ).What’s more, shouhui tongbian capsule had a regulating effect on intestinal flora, and the regulating effect was stronger in patients with a shorter disease duration.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Clinical Study;
Neurotransmitters and Electrophysiological Changes Might Work as Biomarkers for Diagnosing Affective Disorders

Affective disorders are the leading causes of human disability worldwide; however, the diagnosis is still hard to define, because emotion is the least study subjects in psychology.Recent emotional studies suggest that human emotions are developed from basic emotions, which are evolved for fundamental human lives.Even though most psychologists agree upon the idea that there are some basic emotions, there is little agreement on how many emotions are basic, which emotions are basic, and why they are basic.In our previous papers, we suggested that there are three basic emotions: joy, fear, and disgust.These basic emotions depend on the peptides and monoamines: dopamine-joy (peptides-reward), norepinephrine-fear (anger), and serotonin-disgust (sadness).Further tests with event-related potentials (erp) found that joy, fear, and disgust showed the fastest response compared with other emotions, suggesting that they are fast automatic responses, which confirmed that these three emotions are prototypical emotions.Other basic emotions, anger and sadness, are due to object induced behaviors instead of sensation of object, so they developed secondary to prototypical emotions.Thus, we concluded that only joy, fear, and disgust are prototypical emotions, which can mix into other emotions, like the primary colors.In all, the neural substrates for all emotions, including the affections, are possibly monoamine neuromodulators: joy-dopamine (peptides), fear (anger)–norepinephrine, and disgust-serotonin.We hope these basic emotional studies will offer some neural mechanisms for emotional processing and shed lights on the diagnosis of affective disorders.

Journal: Disease Markers (2021)
Publication types: Research Article;
mRNA Network: Solution for Tracking Chemotherapy Insensitivity in Small-Cell Lung Cancer

Small-cell lung cancer (sclc) has poor prognosis and is prone to drug resistance.It is necessary to search for possible influencing factors for sclc chemotherapy insensitivity.Therefore, we proposed an m rna network to track the chemotherapy insensitivity in sclc.Methods.Six samples of patients with sclc were recruited for rna sequencing.Top hat2 and cufflinks were used to make differential analysis.Functional analysis was applied as well.Finally, multidimensional validation was applied for verifying the results we obtained by experiment.Results.This study was a trial of drug resistance in 6 sclc patients after first-line chemotherapy.The top 10 downregulated genes differentially expressed in the chemo-insensitive group were serping1, drd5, parvg, prame, nkx1-1, mctp2, pid1, plekha4, spp1, and sln.Cell-cell signaling by wnt ( p = 6.98 e − 21 ) was the most significantly enriched go term in biological process, while systemic lupus erythematosus ( p = 6.97 e − 10 ), alcoholism ( p = 1.01 e − 09 ), and transcriptional misregulation in cancer ( p = 0.00227988 ) were the top three ones of kegg pathways.In multiple public databases, we also highlighted and verified the vital role of glycolysis/gluconeogenesis pathway and corresponding genes in chemo-insensitivity in sclc.Conclusion.Our study confirmed some sclc chemotherapy insensitivity-related genes, biological processes, and pathways, thus constructing the chemotherapy-insensitive network for sclc.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;
Monitoring of Neuroendocrine Changes in Acute Stage of Severe Craniocerebral Injury by Transcranial Doppler Ultrasound Image Features Based on Artificial Intelligence Algorithm

This study was aimed at exploring the application value of transcranial doppler (tcd) based on artificial intelligence algorithm in monitoring the neuroendocrine changes in patients with severe head injury in the acute phase; 80 patients with severe brain injury were included in this study as the study subjects, and they were randomly divided into the control group (conventional tcd) and the experimental group (algorithm-optimized tcd), 40 patients in each group.An artificial intelligence neighborhood segmentation algorithm for tcd images was designed to comprehensively evaluate the application value of this algorithm by measuring the tcd image area segmentation error and running time of this algorithm.In addition, the glasgow coma scale (gcs) and each neuroendocrine hormone level were used to assess the neuroendocrine status of the patients.The results showed that the running time of the artificial intelligence neighborhood segmentation algorithm for tcd was 3.14 ± 1.02 s , which was significantly shorter than 32.23 ± 9.56 s of traditional convolutional neural network (cnn) algorithms ( p &lt; 0.05 ).The false rejection rate (frr) of tcd image area segmentation of this algorithm was significantly reduced, and the false acceptance rate (far) and true acceptance rate (tar) were significantly increased ( p &lt; 0.05 ).The consistent rate of the gcs score and doppler ultrasound imaging diagnosis results in the experimental group was 93.8%, which was significantly higher than the 80.3% in the control group ( p &lt; 0.05 ).The consistency rate of doppler ultrasound imaging diagnosis results of patients in the experimental group with abnormal levels of follicle stimulating hormone (fsh), prolactin (prl), growth hormone (gh), adrenocorticotropic hormone (acth), and thyroid stimulating hormone (tsh) was significantly higher than that of the control group ( p &lt; 0.05 ).In summary, the artificial intelligence neighborhood segmentation algorithm can significantly shorten the processing time of the tcd image and reduce the segmentation error of the image area, which significantly improves the monitoring level of tcd for patients with severe craniocerebral injury and has good clinical application value.

Journal: Computational and Mathematical Methods in Medicine (2021)
Publication types: Clinical Study;