syedzayyan/paper_mill_benchmark huggingface dataset:
Apparel Design and Development Based on 3D Scanning Technology

With the development of computer science, especially the application of 3d scanning technology in garment design, intelligent modeling is realized, which is impossible to achieve in traditional design methods.In this paper, we propose the 3d model construction of human garments based on the motion recovery structure method.The eigenmatrix is obtained from the camera parameters, and the transformation matrix is calculated by matching the image feature points with the help of scale-invariant feature conversion algorithm to realize the 3d reconstruction technology of human garments based on multiview image sequences.The effectiveness of this method is verified through experiments, and it has good robustness and accuracy.Through the form of style modeling, the design thinking and method can be extended to form a more reasonable garment structure and guide the innovation of garment production mode.

Journal: Scientific Programming (2021)
Publication types: Research Article;
Material Analysis and Application Based on Intelligent Computing in the Context of Contemporary Watercolor Painting

Scholars have researched the current situation and development trend of contemporary watercolor materials in terms of material intervention, material expression language, spiritual connotation in material “materiality,” and practical application of materials, which are of profound significance to the consolidation of the theoretical system of watercolor painting in china.However, how to better analyze and apply watercolor materials on the basis of intelligent computing, as well as the material analysis and application based on intelligent computing in the context of contemporary watercolor painting, still has a lack of research at present.Therefore, this study considers the analysis and application of materials based on intelligent computing in the context of contemporary watercolor painting, in an attempt to seek ways to integrate with chinese watercolor painting and its own national art.

Journal: Security and Communication Networks (2022)
Publication types: Research Article;
Filtering Algorithm for Positioning Accuracy of the Logistics Tracking System Based on the 3D Virtual Warehousing Logistics Demonstration System

Under the background of the global integrated supply chain, the work of logistics is more and more complicated.Warehouse management is now an important part of logistics.The optimization of the logistics tracking system in the building material market proves that the tracking result of the system is highly reliable.The system has the advantages of small size, low cost, accurate positioning, real-time convergence, and high performance.

Journal: Journal of Electrical and Computer Engineering (2022)
Publication types: Research Article;
Expression of Dickkopf-1 and Twist2 in Cervical Squamous Cell Carcinoma and Their Correlation with Vasculogenic Mimicry

Wnt/β-catenin signaling, epithelial-mesenchymal transition (emt), and vasculogenic mimicry (vm) all exert important effects in tumors.Dickkopf-1 (dkk1) is an antagonist of the wnt/β-catenin, twist homolog 2 (twist2) is a key emt transcription factor involved in cancer cell migration and invasion, and vm participates in the progression and metastasis of a variety of cancers.However, the correlation of dkk1, twist2, and vm in cervical squamous cell carcinoma(csc) is still unclear.This study focuses on correlations among these factors as well as their correlation with clinicopathologic data and survival in csc.Dkk1, twist2, and vm expressions were immunohistochemically examined in 116 csc tissues and 37 normal cervical tissues.Furthermore, clinical data were processed.The expression levels of these three factors differed between csc and normal tissues.Vm was observed in csc, but not in normal cervical tissues.Twist2 expression was high in csc but low in normal cervical tissues, whereas dkk1 expression had the opposite pattern.Tumor cells with vm had a high expression of twist2 and low expression of dkk1.In addition, dkk1 expression was negatively correlated with twist2 expression.Analyzing the relationships of dkk1, twist2, and vm with the data of patients with csc revealed that dkk1 expression was negatively correlated with the clinical stage, degree of differentiation, depth of infiltration, and lymph node metastasis of tumors.Vm and twist2 expression were positively correlated with the degree of differentiation, the depth of infiltration, and lymph node metastasis.The positive rate of vm was greater in stage ii than in stage i.The patients who expressed vm and twist2 had a reduced overall survival (os) when compared with patients not expressing these proteins.However, the patients who expressed dkk1 had an increased os when compared with patients who did not show any dkk1 expression.Multivariate analysis indicated that the expressions of dkk1, twist2, and vm were prognostic factors for csc.Vm and the expression of dkk1 and twist2 can be the potential prognostic biomarkers and therapeutic targets for csc.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Exploration of Strategies for Organic Integration of Labor Education and Occupational Therapy for College Students

This paper analyzes the actual functions of the labor education and occupational therapy phase through an in-depth study of labor education and occupational therapy for college students and explores the strategies of organic integration of labor education and occupational therapy for college students.This paper carries out a holistic theoretical construction of labor education in schools and systematically analyzes the components of labor education objectives in colleges and universities, labor education contents in schools, labor education implementation in schools, and labor education evaluation in schools.The main goal of labor education in colleges and universities is to guide students in establishing a scientific concept of labor and constructing a labor education resource system.It focuses on strengthening the construction and improvement of the labor education theoretical system, promoting the construction of labor education disciplines and professional courses, and attaching importance to the training of labor education teachers in the new era to contribute to the perfection of labor education.The system of labor education practice should be innovated.Of course, the labor practice activities based on institutionalization should be implemented.The cycle of labor activities based on the principle of continuity should be strengthened, and the effectiveness of labor education should be improved totally from explicit and implicit instructions.The core of occupational therapy is to help college students adapt to social work, give full play to their self-worth, obtain economic resources, and improve self-confidence.The organic integration of labor education and occupational therapy shows that it can help students ease their social adaptability and adapt to social functions, improve the reemployment rate, and improve students’ overall health.Therefore, the practical research on labor education and occupational therapy should be strengthened.

Journal: Occupational Therapy International (2022)
Publication types: Research Article;
Effects of IncRNA PROX1-AS1 on Proliferation, Migration, Invasion and Apoptosis of Lung Cancer Cells by Regulating MiR-1305

This paper aims to explore the lnc rna prox1-as1 effect on proliferation, migration, invasion, and apoptosis of lung cancer cells together with its targeted regulation on mi r-1305.To adopt q rt-pcr to test prox1-as1 and mi r-1305 expression levels in lung cancer tissues and adjacent tissues.Lung cancer cells a549 were cultured in vitro and randomly divided into several groups, which are si-nc, si-prox1-as1, mi r-nc, mi r-1305, si-prox1-as1 plus anti-mi r-nc, and si-prox1-as1 plus anti-mi r-1305.To adopt the cck-8 method to test cell proliferation and to adopt the transwell chamber experiment to test cell migration and invasion.To adopt the flow cytometry method to test the apoptosis rate.Through a dual luciferase experiment, we decided to find out the targeting relationship between prox1-as1 and mi r-1305.Then we adopted the western blot method to test cyclin d1, mmp-2, mmp-9, bcl-2, p21, and bax expression levels.Compared with adjacent tissues ( p &lt; 0.05 ), the expression of prox1-as1 in lung cancer tissue was remarkably higher, while the expression of mi r-1305 was remarkably lower ( p &lt; 0.05 ).After prox1-as1 knockdown expression or mi r-1305 overexpression, cell activity, migration, and invasion ability were outstandingly lowered ( p &lt; 0.05 ), but the apoptosis rate was obviously raised ( p &lt; 0.05 ), cyclin d1, mmp-2, bcl-2, and mmp-9 protein data were remarkably reduced ( p &lt; 0.05 ), but p21 and bax protein conditions were outstandingly enhanced ( p &lt; 0.05 ).The dual luciferase experiment confirmed that prox1-as1 had a targeting relationship with mi r-1305.After cotransfection with si-prox1-as1 and anti-mi r-1305, the cell viability, migration and invasion ability were remarkably enhanced ( p &lt; 0.05 ), the apoptosis rate was remarkably reduced ( p &lt; 0.05 ), cyclin d1, mmp-2, bcl-2, and mmp-9 protein were increased remarkably ( p &lt; 0.05 ), and p21 or bax protein was lowered remarkably ( p &lt; 0.05 ).On the one hand, prox1-as1 can promote lung cancer proliferation, migration, and invasion.On the other hand, it may restrain apoptosis, possibly through inhibiting mi r-1305 expression.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Design of an Incremental Music Teaching and Assisted Therapy System Based on Artificial Intelligence Attention Mechanism

With the continuous updating and advancement of artificial intelligence technology, it gradually begins to shine in various industries, especially playing an increasingly important role in incremental music teaching and assisted therapy systems.This study designs artificial intelligence models from the perspectives of attention mechanism, contextual information guidance, and distant dependencies combined with incremental music teaching for the segmentation of ms (multiple sclerosis) lesions and achieves the automatic and accurate segmentation of ms lesions through the multidimensional analysis of multimodal magnetic resonance imaging data, which provides a basis for physicians to quantitatively analyze ms lesions, thus assisting them in the diagnosis and treatment of ms.To address the highly variable characteristics of ms lesion location, size, number, and shape, this paper firstly designs a 3d context-guided module based on kronecker convolution to integrate lesion information from different fields of view, starting from lesion contextual information capture.Then, a 3d spatial attention module is introduced to enhance the representation of lesion features in mri images.The experiments in this paper confirm that the context-guided module, cross-dimensional cross-attention module, and multidimensional feature similarity module designed for the characteristics of ms lesions are effective, and the proposed attentional context u-net and multidimensional cross-attention u-net have greater advantages in the objective evaluation index of lesion segmentation, while being combined with the incremental music teaching approach to assist treatment, which provides a new idea for the intelligent assisted treatment approach.In this paper, from algorithm design to experimental validation, both in terms of accuracy, the operational difficulty of the experiment, consumption of arithmetic power, and time cost, the unique superiority of the artificial intelligence attention-based combined with incremental music teaching adjunctive therapy system proposed in this paper can be seen in the ms lesion segmentation task.

Journal: Occupational Therapy International (2022)
Publication types: Research Article;
Decision Tree Algorithm for Visual Art Design in a Psychotherapy System for College Students

With the development of society, psychological health becomes a basic standard for a college student to grow into a qualified person.This study is aimed at using data mining principles and methods to excavate the factors that lead to psychological problems of college students, to purposefully carry out psychological interventions, use visual art design methods to promote college students’ psychological health treatment, and build a perfect system of college students’ psychological treatment.Based on the theories of data mining, we built a data analysis model, elaborated the data preprocessing method, and applied the apriori algorithm to analyze the data of obsessive-compulsive symptoms and interpersonal sensitivity symptoms, and various psychological problem attributes extracted the strong association rules and analyzed the results.Take advantage of the corresponding unique school environment and educational advantages, to build a set of mental health education methods suitable for modern college students, and truly enable them to obtain satisfactory psychological interventions in a reasonable art design treatment phase.Based on the above association pattern mining results, a series of preprocessing operations were performed on the data, and then, the apriori algorithm was applied to discover the potential association relationships among 9 psychological dimension factors of college students, and then, the id3 decision tree algorithm was used to construct a decision tree and pruning process, from which the classification rules of students’ psychological problems were analyzed and discovered.These studies provide some practical reference basis for school counseling work.

Journal: Occupational Therapy International (2022)
Publication types: Research Article;
Comparison of Outcomes between Two Surgical Techniques for Patients with Intestinal Neuronal Dysplasia

Hirschsprung disease (hscr) is a serious congenital intestinal disease with a prevalence of 1/5000.Hscr remains one of the most severe congenital malformations of the abdominal organs in children that require complex reconstructive surgery.This study is aimed at investigating the clinical analysis of ileal santulli stoma and ileal double-lumen stoma in children diagnosed with intestinal neuronal dysplasia (ind).Methods.Retrospective analysis was performed on the children who were admitted to our hospital for intestinal obstruction from january 2014 to january 2019, underwent fistula operation and fistula closure operation, and were diagnosed with ind.According to the different modes of fistula, the children were divided into ileal santulli stoma group and ileal double-lumen stoma group.The body weight of the children in the two groups during the second stage of fistula closure operation was compared.The number of hospitalizations due to enteritis and dehydration during the two operations was compared.Results.A total of 23 cases (12 males and 11 females) were included in this study, including 10 cases in the santulli group and 13 cases in the ileal double-lumen stoma group.There were no significant differences in baseline data and fistula location between the two groups.Compared with the ileal double-lumen stoma group, the santulli stoma group had significantly higher weight of fistula precursor ( p &lt; 0.05 ), the interval between two operations was shorter ( p &lt; 0.05 ), there is less hospitalization for enteritis and dehydration during the two operations ( p &lt; 0.05 ), and there is less economic cost after fistula ( p &lt; 0.05 ).Conclusion.The clinical effect of ileum santulli fistula is significantly better than double-lumen ileum fistula, which is not only beneficial to the growth and development of children after the first fistula but also can shorten the time of fistula closure, reduce the incidence of dehydration, and reduce the economic burden of family members.Therefore, it is worthy of clinical promotion and application.

Journal: Journal of Immunology Research (2022)
Publication types: Research Article;
Clinical Potential of miR-451 and miR-506 as a Prognostic Biomarker in Patients with Breast Cancer

The incidence and mortality of breast cancer in the world remain high.The function and important role of mi r-451 and mi r-506 in a series of cancers have been proved.The purpose of this research was to explore the clinical diagnosis and prognostic significance of mi r-451 and mi r-506 expression in breast cancer.Methods.Quantitative real-time polymerase chain reaction (q rt-pcr) was applied to detect mi r-451 and mi r-506 expression in serum and tissues.The relationship of mi r-451 and mi r-506 with clinical parameters was determined by the chi-square test.Receiver operating characteristics (roc) analysis was conducted to evaluate the diagnostic accuracy of mi r-451 and mi r-506 in breast cancer.In addition, we determined the prognostic performance of mi r-451 and mi r-506 using kaplan–meier survival assay.Results.The expression of mi r-451 and mi r-506 in breast cancer patients was significantly lower than that in healthy people.Mi r-451 and mi r-506 expression decreased in breast cancer tissues compared with paracancerous tissue.High expression of mi r-451 and mi r-506 was associated with positive lymph node metastasis and late tumor node metastasis stage.Breast cancer patients with high mi r-451 and mi r-506 expression had lower five-year survival rate.The level of mi r-451 and mi r-506 expression showed high diagnostic accuracy for distinguishing breast cancer patients and healthy people.Conclusion.Mi r-451 and mi r-506 could be used as biomarker for the diagnosis and prognosis of breast cancer.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Ameliorative Impact of Liraglutide on Chronic Intermittent Hypoxia-Induced Atrial Remodeling

Atrial fibrillation (af) is the most frequent form of clinical cardiac arrhythmias.Previous evidence proved that atrial anatomical remodeling (aar) and atrial electrical remodeling (aer) are crucial for the progression and maintenance of af.This study is aimed at investigating the impact of the glucagon-like peptide-1 (glp-1) receptor agonist, liraglutide (lir), on atrial remodeling (ar) mouse model induced by chronic intermittent hypoxia (cih).C57bl/6 mice were categorized randomly into the control, lir, cih, and cih+lir groups.Cih was performed in cih and cih+lir groups for 12 weeks.Lir (0.3 mg/kg/day, s.c) was administered to the lir and cih+lir groups for four weeks, beginning from the ninth week of cih.Meanwhile, echocardiography and right atrial endocardial electrophysiology via jugular vein, as well as induction rate and duration of af, were evaluated.Masson and sirius red staining assays were utilized to assess the extent of fibrosis in the atrial tissue of the mice.Immunohistochemical staining, rt-q pcr, and western blotting were performed to evaluate the marker levels of aar and aer and the expression of genes and proteins of the mi r-21/pten/pi3k/akt signaling pathway, respectively.Elisa was also performed to evaluate the changes of serum inflammatory factor levels.The cih group exhibited significant ar, increased atrial fibrosis, and a higher incidence rate of af compared to the control group.Lir could significantly downregulate the protein expression level in the pi3k/p-akt pathway and upregulated that of phosphatase and tensin homolog deleted on chromosome ten (pten).Moreover, lir downregulated the expression of mi r-21.However, the protein expressions of cacna1c and kcna5 in atrial tissue were not changed significantly.In addition, lir significantly attenuated the levels of markers of inflammation (tnf-α and il-6) in the serum.In the mouse model of cih, lir treatment could ameliorate ar by the mi r-21/pten/pi3k/akt signaling pathway and modulation of inflammatory responses.

Journal: Journal of Immunology Research (2022)
Publication types: Research Article;
Analysis of Intelligent Translation Systems and Evaluation Systems for Business English

In order to improve the accuracy of automatic translation of business english, an optimized design of business english translation teaching platform is proposed based on the logistic model combined with deep learning.After using the logistic model to analyze the semantic features of business english translation, the deep learning model is used to segment and mine english images, and the automated lexical feature analysis of business english translation is carried out by using contextual feature matching and adaptive semantic variable finding methods to extract the amount of correlation features between words and vocabulary and to correct the differences in translation in a specific business context to improve the accuracy of english translation.The software design of the platform is carried out under the logistic model, and the platform is mainly divided into a vocabulary database module, an english information processing module, a web interface module, and a human‐computer interaction interface module.The test results show that the accuracy of business english translation using this method is good, and the automatic translation capability is strong.

Journal: Journal of Mathematics (2022)
Publication types: Research Article;
Design of Intelligent Nursing System Based on Artificial Intelligence

As the number of the elderly population and the population dependency ratio increase year by year, the issue of old-age care has become the focus.However, due to the shortage of carers and the large-scale and expensive auxiliary equipment for the elderly, it is difficult to give thoughtful care to all the elderly.In view of the above background, this paper designs a set of intelligent nursing system for the elderly based on artificial intelligence (ai) algorithms, which mainly includes sensor terminals and ai processing algorithms.Among them, the sensor terminal mainly includes two parts: video monitoring and human biological signal monitoring.For video surveillance signals, this paper uses scene event detection algorithm to detect abnormal events, so as to automatically perceive possible unexpected situations.For human biological signals, such as heart rate, blood pressure, and pulse, the abnormal detection is carried out through data analysis and comparison with the normal index range.So, the possible problems in the physical state of the elderly can be judged in time.Through more comprehensive state monitoring and reliable algorithm processing, the system can effectively solve many hidden dangers in the current elderly care and provide a feasible solution for smart nursing.

Journal: Journal of Sensors (2022)
Publication types: Research Article;