syedzayyan/paper_mill_benchmark huggingface dataset:
Computed Tomography Image Characteristics before and after Interventional Treatment of Children’s Lymphangioma under Artificial Intelligence Algorithm

The artificial intelligence algorithm was used to analyze the characteristics of computed tomography (ct) images before and after interventional treatment of children’s lymphangioma.Retrospective analysis was performed, and 30 children with lymphangioma from the hospital were recruited as the study subjects.The ultrasound-guided bleomycin interventional therapy was adopted and applied to ct scanning through convolutional neural network (cnn).The ct imaging-related indicators before and after interventional therapy were detected, and feature analysis was performed.In addition, the cnn algorithm was adopted to segment the image of the tumor was clearer and more accurate.At the same time, the dice similarity coefficient (dsc) of the cnn algorithm was 0.9, which had a higher degree of agreement.In terms of clinical symptoms, the cured children’s lesions disappeared, the skin surface returned to normal color, and the treatment was smooth.In the two cases with effective treatment, the cystic mass at the lesion site was significantly smaller, and the nodules disappeared.Ct images before interventional therapy showed that lymphangiomas in children were more common in the neck.The cystic masses at all lesion sites varied in diameter and size, and most of them were similar to round and irregular, with uniform density distribution.The boundary was clear, the cyst was solid, and there were different degrees of compression and spread to the surrounding structure.Most of them were polycystic, and a few of them were single cystic.After interventional treatment, ct images showed that 27 cases of cured children’s lymphangioma completely disappeared.Lymphangioma was significantly reduced in two children with effective treatment.Edema around the tumor also decreased significantly.Patients who did not respond to the treatment received interventional treatment again, and the tumors disappeared completely on ct imaging.No recurrence or new occurrence was found in three-month follow-up.The total effective rate of interventional therapy for lymphangioma in children was 96.67%.The cnn algorithm can effectively compare the ct image features before and after interventional treatment for children’s lymphangioma.It was suggested that the artificial intelligence algorithm-aided ct imaging examination was helpful to guide physicians in the accurate treatment of children’s lymphangioma.

Journal: Computational and Mathematical Methods in Medicine (2021)
Publication types: Research Article;
Comparison of Five Triage Tools for Identifying Mortality Risk and Injury Severity of Multiple Trauma Patients Admitted to the Emergency Department in the Daytime and Nighttime: A Retrospective Study

Effective triage tools are indispensable for doctors to make a prompt decision for the treatment of multiple trauma patients in emergency departments (eds).The modified early warning score (mews), national early warning score (news), standardized early warning score (sews), modified rapid emergency medicine score (m rems), and revised trauma score (rts) are five common triage tools proposed for trauma management.However, few studies have compared these tools in a multiple trauma cohort and investigated the influence of nighttime admission on the performance of these tools.This retrospective study was aimed at evaluating and comparing the performance of mews, news, sews, m rems, and rts for identifying the mortality risk and trauma severity of patients with multiple trauma admitted to the ed during the daytime and nighttime.Retrospective data were collected from the medical records of patients with multiple trauma admitted in the daytime or nighttime to calculate scores for each triage tool.Logistic regression analysis was conducted on each triage tool for identifying in-hospital mortality and severe trauma (injury severity score &gt; 15 ) in the daytime and nighttime.The performance of the tools was evaluated and compared by calculating area under the receiver operating characteristic curve (auroc) of the retrospective logistic model of each tool.We collected data for 1,818 admissions, including 1,070 daytime and 748 nighttime admissions.A comparison of performance for identifying in-hospital mortality between daytime and nighttime yielded the following results (auroc): mews (0.95 vs.0.93, p = 0.384 ), news (0.95 vs.0.94, p = 0.708 ), sews (0.95 vs.0.94, p = 0.683 ), m rems (0.94 vs.0.92, p = 0.286 ), and rts (0.93 vs.0.93, p = 0.87 ).Similarly, a comparison of performance for identifying trauma severity between daytime and nighttime yielded the following results (auroc): mews (0.78 vs.0.78, p = 0.95 ), news (0.8 vs.0.8, p = 0.885 ), sews (0.78 vs.0.78, p = 0.818 ), m rems (0.75 vs.0.69, p = 0.019 ), and rts (0.75 vs.0.74, p = 0.619 ).All five scores are excellent triage tools ( auroc ≥ 0.9 ) for identifying in-hospital mortality for both daytime and nighttime admissions.However, they have only moderate effectiveness ( auroc &lt; 0.9 ) at identifying severe trauma.The news is the best triage tool for identifying severe trauma for both daytime and nighttime admissions.The mews, news, sews, and rts exhibited no significant differences in performance for identifying in-hospital mortality or severe trauma during the daytime or nighttime.However, the m rems was better at identifying severe trauma during the daytime.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Comparison of Five Methods to Estimate the Parameters for the Three-Parameter Lindley Distribution with Application to Life Data

We have studied one of the most common distributions, namely, lindley distribution, which is an important continuous mixed distribution with great ability to represent different systems.We studied this distribution with three parameters because of its high flexibility in modelling life data.The parameters were estimated by five different methods, namely, maximum likelihood estimation, ordinary least squares, weighted least squares, maximum product of spacing, and cramér-von mises.Simulation experiments were performed with different sample sizes and different parameter values.The different methods were compared on the generated data by mean square error and mean absolute error.In addition, we compared the methods for real data, which represent covid-19 data in iraq/anbar province.

Journal: Computational and Mathematical Methods in Medicine (2021)
Publication types: Research Article;
Comparative Study on the Clinical Efficacy and Safety of Acitretin and MTX in the Treatment of Pustular Psoriasis by TLR7/MyD88/CXCL16 Pathway

To investigate the clinical efficacy and safety of acitretin and mtx with tlr7/my d88/cxcl16 in the treatment of pustular psoriasis.Method.A total of 54 patients with pustular psoriasis were randomly divided into control group ( n = 14 ) and study group ( n = 40 ).Mtx was used in the control group, and different doses of acitretin were used in the study group, which were divided into low-dose group ( n = 13 ), medium-dose group ( n = 13 ), and high-dose group ( n = 14 ).Symptom relief time, recurrence rate, gppasi improvement rate, treatment response rate, bsa, dlqi score, and tlr7 and cxcl16 levels were compared among four groups.Result.The erythema, fever, and pustules disappeared in the low-dose group, the medium-dose group, and the high-dose group for a shorter time than control group, and it is shortest for the high-dose group.The low-dose, medium-dose, and high-dose groups had relatively lower recurrence rates at 1 month and 3 months ( p &lt; 0.05 ).The improvement rates of gppasi50 of the four groups (the control group, low-dose group, medium-dose group, and high-dose group in turn) were 71.4%, 78.3%, 80.2%, and 80.8%; gppasi75 of the four groups were 73.5%, 74.3%, 79.4%, and 80.9%; and gppasi90 were 12.9%, 13.1%, 13.4%, and 13.8%.After treatment, the bsa and dlqi scores of the four groups were reduced.The bsa and dlqi scores of the study group decreased more significantly, and the high-dose group had the most significant improvement ( p &lt; 0.05 ).The incidence of adverse reactions in the four groups was 16.2%, 8.1%, 10.3%, and 14.7%, respectively.The high-dose group had a higher incidence of adverse reaction than the low-dose group ( p &lt; 0.05 ).The effective rates of treatment of the four groups were 69.1%, 86.9%, 88.2%, and 91.9%, respectively.The study group had higher treatment efficiency than the control group, and the high-dose group had the highest treatment efficiency ( p &lt; 0.05 ).After treatment, the level of serum tlr7 and cxcl16 was significantly reduced, but which in the study group decreased more significantly ( p &lt; 0.05 ).Conclusion.The clinical effect of a high dose of acitretin on pustular psoriasis is remarkable.It can reduce the recurrence rate and improve the quality of life and clinical symptoms.Therefore, a high dose of acitretin is worth popularizing and applying.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Clinical Study;
Comparative Analysis for Prediction of Kidney Disease Using Intelligent Machine Learning Methods

Chronic kidney disease (ckd) is a major burden on the healthcare system because of its increasing prevalence, high risk of progression to end-stage renal disease, and poor morbidity and mortality prognosis.It is rapidly becoming a global health crisis.Unhealthy dietary habits and insufficient water consumption are significant contributors to this disease.Without kidneys, a person can only live for 18 days on average, requiring kidney transplantation and dialysis.It is critical to have reliable techniques at predicting ckd in its early stages.Machine learning (ml) techniques are excellent in predicting ckd.The current study offers a methodology for predicting ckd status using clinical data, which incorporates data preprocessing, a technique for managing missing values, data aggregation, and feature extraction.A number of physiological variables, as well as ml techniques such as logistic regression (lr), decision tree (dt) classification, and k -nearest neighbor (knn), were used in this work to train three distinct models for reliable prediction.The lr classification method was found to be the most accurate in this role, with an accuracy of about 97 percent in this study.The dataset that was used in the creation of the technique was the ckd dataset, which was made available to the public.Compared to prior research, the accuracy rate of the models employed in this study is considerably greater, implying that they are more trustworthy than the models used in previous studies as well.A large number of model comparisons have shown their resilience, and the scheme may be inferred from the study’s results.

Journal: Computational and Mathematical Methods in Medicine (2021)
Publication types: Research Article;
Combining Ability Analysis of Relevant Characters of Maize Inbred Lines Suitable for Machine Harvest

In this study, 9 maize inbred lines and 36 combinations were used as materials to analyze the combining ability of plant height, ear height, kernel depth, grain water content, tassel branches, stem diameter, and 100 kernels weight so as to screen excellent inbred lines and maize combinations with suitable mechanical harvest characters, which would provide a theoretical basis for breeding new maize varieties suitable for mechanical harvest.The results showed that jk2023, jk2368, and jk2018 were inbred lines whose comprehensive characters met the machine harvest standard and performed well.Besides, the combinations that meet the machine harvest standard and perform well were jk2023 × jk2197, jk2023 × jk2368, jk2023 × jk2005, jk2197 × jk2005, jk2197 × jk2368, and jk2368 × jk2005.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Clinical Value of PPM1G Gene in Survival Prognosis and Immune Infiltration of Hepatocellular Carcinoma

Liver cancer is one of the most common malignancies, but its prognosis is still poor.Exploring potential biomarkers is an important direction of tumor research.We intend to use bioinformatics methods to explore potential biomarkers related to survival and prognosis of hcc.Methods.The m rna and protein expressions of ppm1g in liver cancer were analyzed by hpa, timer, and ualcan databases, and the effects of ppm1g on the prognosis of liver cancer patients were explored by the gepia database.We also explored the correlation between ppm1g expression and liver cancer immune infiltration through the timer database and further explored the potential protein interaction network of ppm1g through the string database.Results.The m rna and protein expression of ppm1g gene in hepatocellular carcinoma tissues was lower than that in normal adjacent tissues.Liver cancer patients with high expression of ppm1g have a better prognosis than those with low expression of ppm1g.The expression of ppm1g is positively or negatively correlated with different immune cells of liver cancer, such as cd4+ t lymphocytes, cd8+ t lymphocytes, b cells, macrophages, and neutrophils.Conclusion.The liver cancer patients with high expression of ppm1g have a good prognosis, and ppm1g gene may be a potential immunotherapy target and prognostic marker of liver cancer.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Characteristics of Aerobics and Nutrition Strategy Based on Depth Image Human Body Recognition

Bodybuilding operation is a favorite sports item, which is beneficial to enhance physical fitness, improve coordination and flexibility of movement, and enhance cardiopulmonary function.Standard aerobics movements and nutrition matching strategies can more effectively enhance the exercise effect.In this paper, the characteristics of aerobics, sports, and nutrition strategies are researched through the human body recognition technology of the depth image; the subjects were divided into four groups by statistical method and control variable experiment method.They were the control group, the experimental group for aerobics training, the experimental group for improving the nutritional balance under diet, and the experimental group for aerobics training.After two and a half months of experimental training and observation, the students in the four groups were tested for physical fitness and physical function; analyze the obtained experimental test data using the human body recognition technology of depth image, then obtain the experimental test data, and then use the data fusion method to combine the data and information for more accurate evaluation.The results showed that after 10 weeks of aerobics learning and nutrition, the average height of students increased by 1.19 cm, the average weight decreased by 1.17 kg, the number of sit-ups increased from 23.9 before the experiment to 31.2, and the results of 50-meter race and 800-meter run were 0.2 seconds and 2.9 seconds, respectively.It can be concluded that aerobics and nutrition can speed up metabolism, promote the growth and development of bones, and supplement the nutrition needed by the human body, to improve students’ physical quality.This study contributes to the research of sports and nutrition matching in improving physical conditions.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Chaos Adaptive Particle Swarm for Physical Exercise Health Assessment

Particle crowd algorithmic rule is a mayor examination hotspot in the authentic optimization algorithmic rule respond.Based on the pso algorithmic rule to make optimal the rbfnn example, an amended order of nonlinear adaptable laziness power supported on the contest of population variegation is intended to extend the fixedness of population unlikeness performance and hunt capabilities to preclude the algorithmic rule from dripping into a topical extreme point prematurely, thereby further improving the prophecy correctness.Simulation experience shows that the amended pso-rbfnn standard has open advantageous in the fixedness and sharp convergency of the prognosis proceed.In fashion to reprove the justness of reverse kinematics of robots with composite make and supercilious degrees of liberty, an amended adaptative suffix abound optimization (iapso) is spoken.First, the motoric equality of the 6-dof strength-example avaricious robot design is established by the amended dh (denavit-hartenberg) argument course; second, on the base of the existent morsel abound algorithmic rule, the population manhattan ceremoniousness is interested to lead the maneuver condition of the population in aqiqiy measure.And bound the adaptative lore substitute accordingly to the dissimilar maneuver possession and then adopt distinct site and hurry update modes; lastly, the fitness province with handicap substitute is present to trial the honest-prick and extended course transposition of the robot mold, and the delusion is not joint product major than 0.005 rad.The feint inference shows that the established kinematics shape is chasten, and the amended algorithmic program captures into recital the nicety, uniqueness, and velocity of the inverted resolution of the existent pso algorithmic program, as well as higher deliverance truths.We conduct an experiment on the brazilian jiu-jitsu.The results have clearly shown the advantage of our method.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Changes of Intestinal Microflora in Colorectal Cancer Patients after Surgical Resection and Chemotherapy

The change of bacterial flora structure in colorectal cancer (crc) patients after treatment is not clear.The aim of this study was to explore the change and function of intestinal microflora in crc before and after treatment.Method.The 16s conserved region v3+v4 of intestinal flora obtained from crc patients was sequenced and analyzed.Alpha and beta diversity indices were used to analyze the abundance and structure of gut flora.Faprotax, bug base, and tax4fun software were used to analyze the species phenotypes and kyoto encyclopedia of genes and genomes ontology (ko) function pathways.Results.Total abundance and structure of species in crc patients were significantly increased compared with healthy people (control group) ( p &lt; 0.05 ), but there was no significant difference between crc patients before and after treatment ( p &gt; 0.05 ).There was significant difference in relative abundance of bacteria at different levels (phylum, class, order, family, genus, and species) between the crc group with after operation (crc_o group) and chemotherapy (crc_c group) treatment, particularly prevotellaceae_ucg-001, akkermansia, fusicatenibacter, tyzzerella_4, megamonas, etc.In genus level.The ko function analysis showed that most of the bacteria with differences were mainly involved in the biosynthesis of lipopolysaccharide (megamonas, megasphaera, and ruminococcus torques_group), protein digestion and absorption, renin-angiotensin system pathway (akkermansia, eubacterium_ruminantium_group, and eubacterium_nodatum_group genus), adipocytokine signaling pathway and peroxisome pathway (tyzzerella_4, phascolarctobacterium, ruminococcus_gnavus_group), and so on.Conclusion.The abundance of intestinal microflora in crc patients was increased significantly contrasted to healthy people, and surgery and chemotherapy were hard to reduce this phenomenon.Megamonas was involved in lipopolysaccharide biosynthesis and carcinogenesis in colorectal cancer.Surgery and drug treatment did not reduced lipopolysaccharide biosynthesis but increased the number of probiotic akkermansia population and reduced the pathogenic bacteria tyzzerella_4, participate in adipocytokine signaling pathway, and affect metabolism.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Changes in Retinal Vessel Flow after Small Incision Lenticule Extraction

In order to analyze changes in retinal vessel flow after small incision lenticule extraction (smile).Methods.A total of 32 patients (62 eyes) who underwent smile were enrolled in this prospective study.Optical parameters, including vessel density (vd), and perfusion density (pd) of foveal, parafoveal, and perifoveal regions, respectively, were measured before surgery and at 1 day, 1 week, 1 month, and 3 months postoperation.Preoperative parameters and surgical parameters were recorded.Results.Significant decreases in vd and pd on postoperative day 1 were detected in all quadrants, both in 3 mm and in 6 mm regions ( p &lt; 0.001 ).One month after surgery, vd returned to preoperative levels.None of the preoperative and surgical parameters were significantly correlated with the vd and pd fluctuations (all p &gt; 0.05 ).Conclusion.Vd may decrease significantly with regional disparity 1 day after smile while recovering at 1 month.Elevation of intraocular pressure due to suction may account for such changes.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Clinical Study;
ceRNA Network and Functional Enrichment Analysis of Preeclampsia by Weighted Gene Coexpression Network Analysis

Preeclampsia (pe) is a multisystemic syndrome which has short- and long-term risk to mothers and children and has pluralistic etiology.Objective.This study is aimed at constructing a competitive endogenous rna (ce rna) network for pathways most related to pe using a data mining strategy based on weighted gene coexpression network analysis (wgcna).Methods.We focused on pathways involving hypoxia, angiogenesis, and epithelial mesenchymal transition according to the gene set variation analysis (gsva) scores.The gene sets of these three pathways were enriched by gene set enrichment analysis (gsea).Wgcna was used to study the underlying molecular mechanisms of the three pathways in the pathogenesis of pe by analyzing the relationship among pathways and genes.The soft threshold power (β) and topological overlap matrix allowed us to obtain 15 modules, among which the red module was chosen for the downstream analysis.We chose 10 hub genes that satisfied ∣ log 2 fold change ∣ &gt; 2 and had a higher degree of connectivity within the module.These candidate genes were subsequently confirmed to have higher gene significance and module membership in the red module.Coexpression networks were established for the hub genes to unfold the connection between the genes in the red module and pe.Finally, ce rna networks were constructed to further clarify the underlying molecular mechanism involved in the occurrence of pe.56 circ rnas, 17 lnc rnas, and 20 mi rnas participated in the regulation of the hub genes.Coagulation factor ii thrombin receptor (f2r) and lumican (lum) were considered the most relevant genes, and ce rna networks of them were constructed.Conclusion.The microarray data mining process based on bioinformatics methods constructed lnc rna and mi rna networks for ten hub genes that were closely related to pe and focused on ce rnas of f2r and lum finally.The results of our study may provide insight into the mechanisms underlying pe occurrence.

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