syedzayyan/paper_mill_benchmark huggingface dataset:
Short-Term Efficacy and Quality of Life of Gastric Cancer Patients Undergoing Radical Gastrectomy Assisted by External Vision

To evaluate the clinical effects and survival prognosis of radical gastrectomy assisted by external vision in gastric cancer.Methods.A total of 60 hospitalized gastric cancer patients from june 2016 to december 2018 were selected and divided into the observation group and control group according to different surgical procedures.The control group was treated with traditional open radical gastrectomy, while the observation group was treated with radical gastrectomy assisted by an external vision microscope.Relevant surgical indicators, visual analogue scale (vas), postoperative complications, and life quality assessment were analyzed and compared between the two groups.Results.The incision length and intraoperative blood loss in the observation group were smaller than those in the control group, and the difference was statistically significant ( p &lt; 0.05 ); compared with the control group, the observation group had significantly shorter hospital stay, earlier postoperative first exhaust time, and lower gastric fluid volume at the 3rd day after surgery ( p &lt; 0.05 ).The pain scores of the observation group at 1, 4, and 12 weeks after surgery were lower than those of the control group ( p &lt; 0.05 ), and the difference was significant.The quality of life scores at the 1st week and 12th week after surgery showed that the dysphagia symptom scores of the observation group and the control group were significantly reduced but the two groups had significant differences in fatigue, physical function, pain score, postoperative pain, and overall quality of life.The observation group was significantly better than the control group ( p &lt; 0.05 ).Follow-up studies showed no significant difference between mortality and cancer recurrence ( p &gt; 0.05 ); the patients recovered well at postoperation, and the diet of the observation group was better than that of the control group ( p &lt; 0.05 ); gastric reflux and knife pain were less than those of the control group ( p &lt; 0.05 ).Conclusion.Radical gastrectomy assisted by external vision for gastric cancer yields clinical benefits for gastric cancer patients, which not only dramatically shortened the length of hospital stay but also effectively ameliorated the quality of life of patients, all indicating that external vision-assisted surgery was significantly better than traditional gastrectomy in improving the postoperative quality of life of gastric cancer patients in the absence of increasing the risk of adverse events.

Journal: Computational and Mathematical Methods in Medicine (2021)
Publication types: Research Article;
Role of Posttreatment Nursing Based on Functional Magnetic Resonance Imaging in Breast Cancer Patients with Lymphedema

Breast cancer is the tumor disease with the highest incidence in women, especially lymphedema after treatment, which seriously affects the quality of life of women.In order to improve the nursing quality of breast cancer patients, medical staff uses functional magnetic resonance imaging (f mri) to intervene in breast cancer patients, which greatly improves the recovery speed of patients.In this paper, functional magnetic resonance imaging based on the image registration method is proposed and applied to the follow‐up of patients with breast cancer lymphedema after treatment.The powerful imaging effect allows doctors to timely and accurately judge the condition of the patient’s lesions after treatment, which is conducive to nursing care.The experimental results of this paper show that the total number of serious patients in group a before the experiment is 25, accounting for 83.3%.After the experiment, the total number of severe cases was 24, accounting for 80%, indicating that the nursing measures of group a did not have a great effect.The total number of severe cases in group b before the experiment was 27, accounting for 90%.The total number of severe cases after the experiment was 10, accounting for 33.3%.The effect after the experiment was significantly higher than that before the experiment, indicating that the nursing program of group b played a great role.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Research Article;
Risk Factors of Arteriovenous Fistula Stenosis of Patients with Maintenance Hemodialysis

To investigate the risk factors of arteriovenous fistula stenosis in maintenance hemodialysis patients.Methods.A total of 80 patients with maintenance hemodialysis in our hospital from january 2017 to january 2022 were included.According to the stenosis degree of the arteriovenous fistula, patients were divided into a stenosis group (n = 35) and an unobstructed group (n = 45).Laboratory examination data, such as the demographic characteristics of patients, past medical history, the use of traditional chinese medicine (tcm), the tcm for improving blood circulation to promote blood circulation and remove blood stasis, and cellular immune function, were collected.Multivariate logistic regression analysis was used to analyze the influencing factors.Results.There was no significant difference in the age, sexuality, body mass index, proportion of patients with coronary heart disease, cephalic vein diameter, radial artery diameter, albumin, fibrinogen, and blood calcium levels between the two groups ( p &gt; 0.05 ).Compared with the unobstructed group, the stenosis group had higher rates of diabetes and hypertension as well as significantly higher levels of platelets, parathyroid hormone, and d-dimer ( p &lt; 0.05 ).The proportion of tcm application in the stenosis group was 28.6% (10/35), which was significantly lower than that in the unobstructed group 57.8% (26/45).The difference was statistically significant (χ2 = 6.785, p = 0.009 ).The levels of cd3+ (37.5 ± 5.1% vs.42.0 ± 4.8%), cd4+ (35.7 ± 3.2% vs.39.6 ± 3.1%) and cd4+/cd8+ (1.4 ± 0.3 vs.2.4 ± 1.0) in the stenosis group were significantly lower, while cd8+ level was significantly higher (26.8 ± 5.1% vs.18.5 ± 6.2%) than that in the unobstructed group ( p &lt; 0.001 ).Logistic regression analysis indicated that the usage of tcm was an independent risk factor for arteriovenous fistula stenosis after adjustment for other factors (odds ratio [or] 0.302; 95% confidence interval [95% ci] 0.100–0.896; p = 0.039 ).Conclusions.Less use of traditional chinese medicine for activating blood circulation and removing blood stasis and poor cellular immune function are important factors affecting the function of the arteriovenous fistula in patients with maintenance hemodialysis, which is worthy of clinical attention.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Retrospective Study of the Relationship between Variable Benign Epilepsy of Childhood with Centrotemporal Spikes and the Changes of Zinc, MRS, VEEG, and IQ Test

Benign epilepsy in childhood with centrotemporal spikes (vbect) has been associated with electroencephalography (eeg), but the relationship of vbect with zinc, magnetic resonance spectroscopy (mrs), and intelligence quotient (iq) tests is unclear.The aim of this study was to investigate the association of vbect with zinc, mrs, eeg, and iq tests.In this retrospective study, we selected 58 children with variable benign epilepsy with centrotemporal spikes as the experimental group.A total of 120 children with typical benign childhood epilepsy with centrotemporal spikes were selected as the control group.The zinc, mrs, eeg, and iq test results of 178 children were measured and analyzed.The results showed that the zinc, mrs, and iq test results of the patients in the experimental group decreased significantly.The spinal slow wave results in the experimental group showed a significant upward trend.Linear correlation analysis of zinc with mrs, eeg, and iq tests showed that 13 pairs of indicators were significantly negatively correlated.Our results suggest the importance of zinc, mrs, eeg, and iq during vbect.

Journal: Disease Markers (2022)
Publication types: Research Article;
Volunteer Service Participation Emergency Management Information Collection Platform Based on Big Data Technology

In order to fully integrate various emergency management information resources for volunteer service, the author proposes a volunteer service participation in emergency management information collection platform based on big data technology.Taking a municipal government as an example, the current situation of information integration in emergency management is investigated and studied, the needs of various departments are analyzed through interviews and questionnaires, and the problems existing in the government’s information integration are studied.It tries to build a scientific, reasonable, and operational government information integration model based on theories of government information disclosure, government emergency management, and metadata technology.The survey results show the following observation: in the survey results of “the reasons that affect the integration of emergency linkage information of a city government,” the first place is the poor information communication channels between departments, accounting for 22.7%; the second and the third are “administrative system restrictions” and “protection of the interests of the department,” accounting for 21.4% and 19.4%, respectively.It is worth noting that the technical problem of information management is also one of the important factors affecting the government’s emergency response management, accounting for 19.1%.Conclusion.This study analyzes the main shortcomings and reasons of the existing sharing models, so as to construct a reasonable information sharing work model.

Journal: Mathematical Problems in Engineering (2022)
Publication types: Research Article;
Visual Feature Evaluation of Shenyang Greenway Landscape Based on Deep Learning

At present, the research on the visual characteristics of greenway landscape is mostly focused on the evaluation of beauty degree, landscape preference, and recreation preference and mainly on the overall macroscopic evaluation of a single greenway or typical spatial research in some areas, while less attention is paid to the overall characteristics of urban greenway landscape and the differences in visual characteristics of different types of greenway landscape.The emergence of new data and new technologies such as street view, baidu map, and deep learning provides the possibility to study the visual characteristics of greenway landscapes in large scale and full sample.The study of greenway landscape based on large deep learning can effectively refine the overall pattern of visual characteristics of greenway landscape and reveal the differences of visual characteristics of different types of greenways and their key factors, so as to provide support for the planning and design of greenway landscape and landscape appearance enhancement.

Journal: Security and Communication Networks (2022)
Publication types: Research Article;
Vectorization Analysis of Cultural Creative Design Based on the Recognition Model of Virtual Reality Technology

In order to solve the problem of large color matching errors exhibited in the previous color matching system, this study proposes a special color automatic matching system for cultural and creative products based on virtual reality technology.In this study, virtual reality technology (technology) is applied to the proposed system design.Based on the three-tier architecture, the system framework is designed.The architecture includes a data access layer, a business logic layer, and a presentation layer.The hardware includes a spectrophotometer, a central processing unit, a storage device, and a virtual reality somatosensory interaction device, and the four key devices are introduced in detail.The software part takes the bp neural network algorithm as the core, trains and processes the three color values, constructs the automatic color matching model of cultural and creative products according to the training results, and realizes the logical operation and analysis of the system software.The experimental results show that although there is still a certain error between the color matching of the cultural and creative products output by the system and the actual color matching of the test samples, the maximum absolute error of the matching is relatively small, both of which are less than 0.05, which proves the effectiveness of the research to a certain extent.The error between the 6 groups of actual matching samples and the predicted matching samples is &lt;1.5, which proves that the color difference is related to human vision, indicating that the matched samples have no color difference and achieve the expected effect.Although there are some errors between the designed system and the expected color matching, the error is small, so the color difference does not affect the visual presentation effect.

Journal: Mathematical Problems in Engineering (2022)
Publication types: Research Article;
The RPL4P4 Pseudogene Is a Prognostic Biomarker and Is Associated with Immune Infiltration in Glioma

Research over the past decade has suggested important roles for pseudogenes in gliomas.Our previous study found that the rpl4p4 pseudogene is highly expressed in gliomas.However, its biological function in gliomas remains unclear.Methods.In this study, we analyzed clinical data on patients with glioma obtained from the cancer genome atlas (tcga), the chinese glioma genome atlas (cgga), the genotype-tissue expression (gtex), and the gepia2 databases.We used the r language for the main analysis.Correlations among rpl4p4 expression, pathological characteristics, clinical outcome, and biological function were evaluated.In addition, the correlations of rpl4p4 expression with immune cell infiltration and glioma progression were analyzed.Finally, wound healing, transwell, and cck-8 assays were performed to analyze the function of rpl4p4 in glioma cells.Result.We found that rpl4p4 is highly expressed in glioma tissues and is associated with poor prognosis, idh1 wild type, codeletion of 1p19q, and age.Multivariate analysis and the nomogram model showed that high rpl4p4 expression was an independent risk factor for glioma prognosis and had better prognostic prediction power.Moreover, high rpl4p4 expression correlated with immune cell infiltration, which showed a significant positive association with m2-type macrophages.Finally, rpl4p4 knockdown in glioma cell lines caused decreased glioma cell proliferation, invasion, and migration capacity.Conclusion.Our data suggest that rpl4p4 can function as an independent prognostic predictor of glioma.It also shows that rpl4p4 expression correlates with immune cell infiltration and that targeting rpl4p4 may be a new strategy for the treatment of glioma patients.

Journal: Oxidative Medicine and Cellular Longevity (2022)
Publication types: Research Article;
The Quality Evaluation of Business English Classroom Teaching Using Improved DA-BP Algorithm

With the international development of china’s economy, there is an increasing demand for complex talents who are proficient in english and familiar with business operation and management of enterprises.However, it is worth exploring how to explore a proven teaching quality monitoring model for business english (be) majors.The evaluation system of business english classroom teaching quality should not focus on the effect of teachers’ “teaching,” but on students’ “learning” experience and the effect of “learning.” english teaching should take into account the actual situation of students, especially that some students have a poor english foundation and insufficient understanding of english learning.They can improve their english cultural literacy and enhance their intercultural communication skills from learning english.Therefore, when evaluating teaching quality, indicators such as teaching methods and learning strategies should be introduced and emphasis should be placed on motivating students’ learning attitudes, emotions, awareness, and experiences to promote cooperative inquiry learning.In this paper, we propose an improved da-bp algorithm to measure the teaching quality of be, which has achieved good evaluation results with an accuracy rate of 93%, enriched the content of business english classroom teaching and cultivated more comprehensive and better composite talents for the society.

Journal: Mathematical Problems in Engineering (2022)
Publication types: Research Article;
Study of Surface Roughness of Cutting Isothermally Hardened Ductile Iron in Tosa Knife Forging Technique Based on Intelligent Calculation

With a long history of more than 600 years of development, the achang tosa knives have always been handmade and made in strict accordance with tradition and absorbing the essence of foreign cultures.It is not only a tool or a gift, but also a “knife culture” and a local “folk culture” with local ethnic characteristics in yunnan.In this paper, we begin our research on the achang tosa knives by compiling literature and conducting field research to investigate the “knife culture” jointly created by the achang and neighboring ethnic groups by studying the forging process of the achang tosa knives.Three sets of specimens were prepared and the mechanical properties were determined by combining the existing isothermal quenched ductile iron (adi) material production, and a high-speed cutting test was carried out with a cc650 ceramic tool to investigate the relationship between the machined material, tool material, and cutting dosage-surface roughness during high-speed cutting of adi; based on the particle swarm algorithm, a theoretical model between surface roughness and cutting parameters was established to provide theoretical guidance for the optimal production process of adi in high-speed cutting.It provides more valuable experience for the protection of intangible cultural heritage of ethnic minorities and also provides reference for the development and protection of unique crafts of other ethnic minorities.

Journal: Mathematical Problems in Engineering (2022)
Publication types: Research Article;
Morphological Structural Element Optimization for Automatic Line Characterization of Ink Drawings

As a traditional chinese art, the tools of chinese ink painting are mainly brushes, ink, and rice paper and ink stone.As an important form of ink painting, ink landscape painting consists of ink lines that first outline the overall trend of the mountain and then complete the basic process of painting with rich chapping techniques.The article proposes a process to draw water animation based on chinese painting style; this method first perceives the position of water form in chinese painting and enhances it by morphological structural elements used to automatically draw the line feature analysis of ink painting; next, the image rendering technique is used to render the water form, firstly using bf for noise removal processing and then gradienting by canny edge detection operator to get the gradient amplitude.Next, morphological optimization is applied, and finally the image is visualized.In the process of morphological optimization, the optimal parameters of the structural elements are found through the threshold segmentation number, and the rendering algorithm for ink-based landscape painting is explored in depth, starting from the ink lines.The results reveal that the method is more accurate than typical marker-watershed algorithm segmentation, and that changing different structural elements and their parameters has a bigger impact on the ink painting drawing effect.

Journal: Security and Communication Networks (2022)
Publication types: Research Article;
Molecular Typing Based on Oxidative Stress Genes and Establishment of Prognostic Characteristics of 7 Genes in Lung Adenocarcinoma

Oxidative stress could maintain different biological processes in human cancer.However, the effect of oxidative stress on lung adenocarcinoma (luad) should be studied.This study analyzed the expression and clinical importance of oxidative stress in luad in detail.The cancer genome atlas (tcga) and gene expression omnibus (geo) were employed for obtaining luad expression profiles.Based on oxidative stress-related genes, molecular subtypes substantially correlated with the luad prognosis were discovered with consensus cluster plus.Differentially expressed genes (degs) among subtypes were found using the limma software package.Least absolute shrinkage and selection operator- (lasso-) cox analysis was employed to create the polygenic risk model.Risk score and clinically relevant features were used to create nomograms.By utilizing oxidative stress-related genes and reliable clustering, stable molecular subtypes were first discovered.The prognosis, clinical characteristics, route characteristics, and immunological characteristics of these three molecular subtypes were all different.Subsequently, by using differential expression genes among molecular subtypes and lasso, 7 main genes linked with the oxidative stress phenotype were discovered.A prognostic risk model was also built on the basis of major genes associated with the oxidative stress phenotype.The model demonstrated a high level of resilience and was unaffected by clinical-pathological features.It played a stable predictive role in independent datasets.Ultimately, to improve the prognosis model and survival prediction, risk score (rs) was combined with clinicopathological variables, and a decision tree model was used.The model exhibited a high prediction accuracy as well as the ability to predict survival.This research found that oxidative stress-related genes have a major involvement in the onset and progression of luad and that they may influence luad susceptibility to immunotherapy and standard chemotherapy.Furthermore, the identified risk models for 7 genes linked with oxidative stress exhibited could assist clinical treatment decisions and prognosis prediction.The classifier could be used as a molecular diagnostic tool for assessing luad patients’ prognosis risk.

Journal: Oxidative Medicine and Cellular Longevity (2022)
Publication types: Research Article;