syedzayyan/paper_mill_benchmark huggingface dataset:
Nucleus Pulposus Cells Induce M2 Polarization of RAW264.7 via CX3CL1/CX3CR1 Pathway and M2 Macrophages Promote Proliferation and Anabolism of Nucleus Pulposus Cells

The mechanisms underlying m2 macrophage polarization induced by nucleus pulposus (np) cells are unclear.The effects that m2-polarized macrophages have on np cells are also controversial.Methods.Transcriptome sequencing was performed to detect the gene change profiles between np cells from ruptured intervertebral disc (ivd) and normal ivd.The main difference on biological activities between the two cell groups were analyzed by go analysis and kegg analysis.Virus transduction, flow cytometry, immunofluorescence, rt-pcr, western blot, cck-8, tunel staining, and ao/eb staining were performed to explore the interactions between np cells and raw264.7 macrophages.Statistics were performed using spss26.Results.801 upregulated and 276 downregulated genes were identified in np cells from ruptured ivd in mouse models.According to go and kegg analysis, we found that the differentially expressed genes (deg) were dominantly enriched in inflammatory response, extracellular matrix degradation, blood vessel morphogenesis, immune effector process, ossification, chemokine signaling pathway, macrophage activation, etc.Cx3cl1 was one of the top 20% deg, and we confirmed that both np tissue and cells expressed remarkably higher level of cx3cl1 in mouse models ( p &lt; 0.001 ∗ ).Besides, we further revealed that both the recombinant cx3cl1 and np cells remarkably induced m2 polarization of raw264.7 ( p &lt; 0.001 ∗ ), respectively, while this effect was significantly reversed by si-cx3cl1 or jms-17-2 ( p &lt; 0.001 ∗ ).Furthermore, we found that m2 macrophages significantly decreased the apoptosis rate ( p &lt; 0.001 ∗ ) and the catabolic gene levels ( p &lt; 0.001 ∗ ) of np cells, while increased the viability, proliferation as well as the anabolic gene levels of np cells ( p &lt; 0.01 ∗ ).Conclusions.Via regulating cx3cl1/cx3cr1 pathway, np cells can induce the m2 macrophage polarization.M2 polarized macrophages can further promote np cell viability, proliferation, and anabolism, while inhibit np cell apoptosis and catabolism.

Journal: Stem Cells International (2023)
Publication types: Research Article;
Adolescent Psychological Assistance Treatment Strategy Integrating Home-School Coordination and Network Information

With the continuous satisfaction of material life, teenagers’ physical health has been generally improved, and all aspects of competition have posed a challenge to teenagers’ mental health.Therefore, both at the family level and at the school level, teenagers’ mental health education has been paid more and more attention.The school cooperative education model came into being, which has had an important impact on the mental health education of teenagers.Family education is the first level of education for teenagers.Parents’ role model, family education concept, and education model all play a key role in the development of children’s mental health.Based on this, this paper will focus on optimizing the home-school cooperation strategy, further clarify the main responsibilities of the school, teachers, and parents in the home-school cooperation education in the strategy, establish and improve the home-school cooperation mechanism based on this, and focus on the cultivation of parents’ mental health education and teachers’ mental health guidance professional skills in this process.Based on the current situation of network home-school mental health coordination and mental health education, this study takes teenagers as the research object, aiming at the common psychological problems in learning, social adaptation, and interpersonal communication, and tries to study the problems of promoting teenagers’ mental health from the perspective of integrity and development.The developed home-school collaboration method is to verify that the network home-school collaboration method is more effective than the traditional home-school collaboration method in promoting the mental health development of primary school students, so as to provide a reference for the theory and practice of home-school collaboration under the network environment to carry out mental health education.According to the corresponding network information intelligent algorithm, this paper constantly adjusts the coordination strategy between family and school and guides teenagers to internalize the corresponding excellent behaviour into their own habits.In the experimental part, the psychological assistance treatment scheme proposed in this paper is verified and analysed.The experimental results show that the psychological assistance treatment program for adolescents proposed in this paper has obvious effects.School education has a special mental health counseling center and special psychological teachers, which can carry out mental health education more scientifically.The unity and cooperation between family education and school education can combine the educational power of parents and schools to fully develop the mental health of teenagers.

Journal: Occupational Therapy International (2022)
Publication types: Research Article;
Gene Mutation and Its Association with Clinicopathological Features in Young Patients with Non-Small-Cell Lung Cancer

We investigated the correlation between genetic mutations and clinical-pathological features in young patients with nsclc.Methods.Clinicopathologic information of 102 young nsclc patients was collected.Direct ct dna sequencing of a portion of these patients was performed.The correlation between egfr mutation and alk fusions with clinicopathologic parameters was analyzed.Results.In young nsclc patients, adenocarcinoma is the major histology (86.9%), and the misdiagnosis rate was as high as 45.7%.Egfr gene mutation was found in 13 patients (31.7%) and common mutations were with egfr19del mutation (7 cases, 17.1%) and egfr21l858r mutation (4 patients, 9.7%).Egfr mutation was constantly found in adenocarcinoma and male gender, and ever smokers (100%, p &lt; 0.05 ).Furthermore, alk fusions were found in 7 patients (31.8%), which include eml-4-alk fusions; there was a trend that alk fusions were associated with adenocarcinoma and female gender.However, there was no significant difference in overall survival between patients with or without gene mutations.Conclusions.Egfr mutation and alk fusions are related to histology, gender, and smoke exposure in young nsclc patients, and may be effective predictive factors.

Journal: Emergency Medicine International (2022)
Publication types: Research Article;
Research on Clothing Image Database Retrieval Algorithm Based on Wavelet Transform

Ing at the problems of low image data retrieval accuracy and slow retrieval speed in the existing image database retrieval algorithms, this paper designs a clothing image database retrieval algorithm based on wavelet transform.Firstly, it represents the color consistency vector of clothing image, reflects the composition and distribution of image color through color histogram, quantifies the visual features of clothing image, aggregates them into a fixed size representation vector, and uses the fair value (fv) model to complete the collection of clothing image data.Then, the size of the clothing image is adjusted by using the size transformation technology, and the clothing pattern is divided into four moments with the same size.On this basis, the clothing image is discretized with the help of hu invariant moment to complete the preprocessing of clothing image data.Finally, the generating function of wavelet transform is determined, and a cluster of functions is obtained through translation and expansion.The wavelet filter is decomposed into basic modules, and then, the wavelet transform is studied step by step.The clothing image data are regarded as a signal, split, predicted, and updated and input into the wavelet model, and the retrieval research of clothing image database is completed.The experimental results show that the design of the retrieval algorithm is reasonable, the retrieval data accuracy is high, and the retrieval speed is fast.

Journal: Journal of Mathematics (2022)
Publication types: Research Article;
A Multiobjective Optimization Model for Prevention and Control of Coronavirus Disease 2019 in China

It is a global issue to set up a practical, sensitive, and useful model to eradicate or mitigate the coronavirus disease 2019 (covid‐19).Taking central china’s hubei province for example, three models were established.Firstly, a susceptible‐probable‐infectious‐recovered (spir) model was proposed to predict the monthly number of confirmed and susceptible cases in each city.Next, an epidemic prefecture clustering model was set up to find proper vaccine delivery sites, according to the distance of each city.Finally, a dynamic material delivery optimization model was established for multiple epidemic prefectures, aiming to speed up vaccine production and storage in each delivery site.

Journal: Discrete Dynamics in Nature and Society (2022)
Publication types: Research Article;
Application Analysis of Multidisciplinary Diagnosis and Treatment Nursing Mode Based on Doctor-Nurse-Integration for Stroke Patients Undergoing Emergency Intervention Surgery

To analyze the application value of multidisciplinary diagnosis and treatment (mdt) nursing mode based on doctor-nurse-integration for stroke patients undergoing emergency intervention surgery.Methods.In this study, a historical comparative study method was adopted.118 stroke patients and medical staff (9 doctors and 11 nurses) who met the diagnosis and inclusion criteria of emergency intervention surgery admitted from july 2021 to february 2022 were treated clinically according to the traditional medical care mode (tmc group), 87 stroke patients and medical staff (9 doctors and 11 nurses) who met the diagnosis and inclusion criteria of emergency intervention surgery admitted from february 2022 to june 2022 were treated and cared according to the mdt nursing mode based on medical integration (mdt group).Comparison of perioperative time indicators, postoperative outcome indicators, treatment compliance, secondary complications and visit satisfaction between the two groups of patients, and comparison of cooperation satisfaction between the two groups of medical staff.Results.The mdt group had shorter onset—emergency physician’s reception time, arrival at ct room—completion time of ct/mr, notify intervention chamber—arrival time at catheter chamber, admission—femoral artery puncture time, admission—first vessel recanalization time, mean postural restraint time than the tmc group ( p &lt; 0.05 ).The postoperative mortality rate in the mdt group (5.75%) was comparable to that in the tmc group (8.47%) ( p &gt; 0.05 ); the postoperative disability rate in the mdt group (28.74%) was less than that in the tmc group (45.76%) ( p &lt; 0.05 ); the nihss score in the mdt group was lower than that in the tmc group, and the fma score and bi score were both higher than those in the tmc group ( p &lt; 0.05 ).The mdt group had higher treatment compliance than the tmc group, fewer secondary complications than the tmc group, and higher patient visit satisfaction and medical staff cooperation satisfaction than the tmc group ( p &lt; 0.05 ).Conclusion.The implementation of the mdt nursing mode based on the doctor-nurse-integration for stroke patients undergoing emergency intervention surgery can improve the work efficiency of rescuing patients, improve the clinical treatment outcome of patients, and improve the satisfaction of doctors, nurses, and patients.

Journal: Emergency Medicine International (2022)
Publication types: Research Article;
Clinical Effect of Apatinib Mesylate Tablets Combined with Paclitaxel Concurrent Radiotherapy and Chemotherapy in the First-Line Treatment of Locally Advanced Nasopharyngeal Carcinoma

To explore the clinical efficacy and safety of apatinib combined with paclitaxel in the first-line treatment of locally advanced nasopharyngeal carcinoma.Methods.From march 2016 to june 2018, 114 patients with locally advanced nasopharyngeal carcinoma who received first-line treatment in our hospital were selected as the patient group, and those who received apatinib combined with paclitaxel concurrent radiotherapy and chemotherapy were selected as the research group (n = 54), while those who received paclitaxel concurrent radiotherapy and chemotherapy were selected as the control group (n = 60).Sixty healthy individuals in our hospital were recruited in the same period as the healthy group.The clinical effective rate, adverse reactions, 2-year overall survival rate (os), 2-year progression-free survival rate (pfs), and quality of life were compared between the two groups, and the expression of mi r-655 in the serum of each group was tested by rt-q pcr.Results.The total clinical effective rate of the research group was higher than that of the control group, and the 2-year os and pfs of the research group were also higher than those of the control group ( p &lt; 0.05 ).Both groups of patients could tolerate the treatment, but the incidence of hypertension and proteinuria in the research group was higher than that in the control group ( p &lt; 0.05 ).The expression of mi r-655 in the serum of patients was lower than that of the healthy group ( p &lt; 0.05 ).After treatment, mi r-655 in serum increased in both the groups and mi r-655 in the research group was higher than that in the control group ( p &lt; 0.05 ).The 2-year survival rate of os and pfs in patients with low expression of mi r-655 was significantly lower than that in patients with high expression of mi r-655 ( p &lt; 0.05 ).Conclusion.Apatinib combined with paclitaxel concurrent radiotherapy and chemotherapy is effective and well-tolerated in the treatment of locally advanced nasopharyngeal carcinoma, which improves the quality of life of patients and can be popularized in clinical practice.In addition, the increase of mi r-655 may be a target for treating nasopharyngeal carcinoma.

Journal: Emergency Medicine International (2022)
Publication types: Research Article;
A System of Remote Patients’ Monitoring and Alerting Using the Machine Learning Technique

Machine learning has become an essential tool in daily life, or we can say it is a powerful tool in the majority of areas that we wish to optimize.Machine learning is being used to create techniques that can learn from labelled or unlabeled information, as well as learn from their surroundings.Machine learning is utilized in various areas, but mainly in the healthcare industry, where it provides significant advantages via appropriate decision and prediction methods.The proposed work introduces a remote system that can continuously monitor the patient and can produce an alert whenever necessary.The proposed methodology makes use of different machine learning algorithms along with cloud computing for continuous data storage.Over the years, these technologies have resulted in significant advancements in the healthcare industry.Medical professionals utilize machine learning tools and methods to analyse medical data in order to detect hazards and offer appropriate diagnosis and treatment.The scope of remote healthcare includes anything from tracking chronically sick patients, elderly people, preterm children, and accident victims.The current study explores the machine learning technologies’ capability of monitoring remote patients and alerts their current condition through the remote system.New advances in contactless observation demonstrate that it is only necessary for the patient to be present within a few meters of the sensors for them to work.Sensors connected to the body and environmental sensors connected to the surroundings are examples of the technology available.

Journal: Journal of Food Quality (2022)
Publication types: Research Article;
A Dynamic Prediction Model of Financial Distress in the Financial Sharing Environment

The dynamic prediction of financial distress can monitor the financial status of an enterprise in real time and provide evidence for financial analysts.However, currently, there are few studies concerning the dynamic prediction of financial distress in the financial sharing environment, so in order to fill this research gap, this study established a dynamic prediction model of financial distress in the financial sharing environment.Firstly, this study employed the analytic hierarchy process (ahp) and entropy weight theory to determine an index system for the dynamic evaluation of financial distress in the financial sharing environment and gave the weight assignment method of the evaluation indexes.Then, based on the probabilistic neural network (pnn), this study constructed a dynamic prediction model of financial distress and used experimental results to verify the effectiveness and feasibility of the constructed model.

Journal: Discrete Dynamics in Nature and Society (2023)
Publication types: Research Article;
Dynamic Modeling and Simulation Analysis of Virtual Product Design and Creation Based on OSG Artificial Intelligence Platform

The creation of koji pottery art is a creative act that has risen rapidly in recent years.The difference in the proportion of ingredients in the glaze directly affects the roughness, luster, and glaze of the glazed surface of the work.The curve of heating and cooling is also the key to the success or failure of the work.Therefore, taking the koji tea bowl shape as a research example, a virtual reality simulation system and an osg (open scene graph) artificial intelligence platform are used to construct a koji tea bowl shape simulation model, and then the physical production is performed according to the model.After the design and production of the koji tea bowl shape, the rtm (resin transfer molding) model is used to evaluate the process quality standard requirements of the koji bowl shape.According to the rtm model test results, the homogeneity test results show that the result is much larger than 0.10, from which it can be inferred that the koji tea bowl shape has reached the national process quality standard requirements.At the same time, the osg artificial intelligence platform uses the iterative random sampling method to extract and display the abnormal data in the simulation model, which greatly improves the success rate of ceramic creation.In this paper, the creation and simulation of virtual ceramics based on osg artificial intelligence platform are deeply studied and analyzed, and the related processes are improved, which reduces the difficulty of software operation and improves the creation efficiency.

Journal: Discrete Dynamics in Nature and Society (2022)
Publication types: Research Article;
Video Tactical Intelligence Analysis Method of Karate Competition Based on Convolutional Neural Network

The performance of image classification technology based on deep network has been greatly improved, making computer vision enter the stage of industrialization and be gradually applied to many aspects of human work and life.As a typical classification task in computer vision, human behavior recognition has immeasurable potential value in medical, family, transportation, and other scenarios.At the same time, in the field of competitive sports, the integration of artificial intelligence technology and sports technical and tactical analysis is undoubtedly an important way to innovate and improve the technical and tactical level.Taking karate as an example, the study of athletes’ training and competition videos is an important means and method for technical and tactical analysis in competitive sports.Traditional tactical intelligence analysis methods have many shortcomings, such as high labor cost, serious data loss, long delay, and low accuracy.Therefore, based on the convolutional neural network, this paper establishes a new graph convolution model for automatic intelligent analysis of karate athletes’ technical action recognition, action frequency statistics, and trajectory tracking.The technology effectively makes up for the disadvantages of traditional tactical intelligence analysis methods.The research results show that the new topology map construction method has a significant effect on improving the accuracy of behavior recognition and also lays a foundation for technical and tactical analysis.

Journal: Discrete Dynamics in Nature and Society (2022)
Publication types: Research Article;
Robust Two-Stage Location Allocation for Emergency Temporary Blood Supply in Postdisaster

Disaster medical rescue in china mainly adopts the “on‐site rescue” model.Whether the location of emergency temporary blood supply sites is reasonable or not directly affects the rescue efficiency.The paper studies the robust location‐allocation for emergency temporary blood supply after disaster.First, the factors of several candidate sites were quantified by the entropy‐based topsis method, and 12 candidate blood supply sites with higher priority were selected according to the evaluation indicators.At the same time, the uncertainty of blood demand at each disaster site increased the difficulty of decision‐making, and then, a robust location model (mirp) was constructed with minimum cost with time window constraints.It is also constrained by the uncertain demand for blood in three scenarios.Second, the survival probability function was introduced, and the time window limit was given at the minimum cost to maximize the survival probability of the suffered people.Finally, the numerical example experiments demonstrate that the increase in demand uncertainty and survival probability cause the mirp model to generate more costs.Compared with the three mirp models, the mirp‐ellipsoid set model gained better robustness.Also, given the necessary restrictions on the time window, the cost can be reduced by about 13% with the highest survival probability.Decision‐makers can select different combinations of uncertainty levels and demand disturbance ratios and necessary time constraints to obtain the optimal location‐allocation solution according to risk preference and actual conditions.

Journal: Discrete Dynamics in Nature and Society (2022)
Publication types: Research Article;
Can Swimming Teaching Prevent Drowning? An Experimental Study of Children in China

The drowning death rate of chinese students ranks among the top three in the world, and drowning has become an urgent problem for the country and society to solve.Objective .To test whether traditional swimming teaching can improve students’ knowledge and skills of water safety and reduce the probability of drowning in china.Methods .A total of 82 second‐grade students in elementary school were selected as experimental subjects, and the repeated measures analysis of variance experiment design was used to carry out the research.Results .After the experiment, the swimming safety education model significantly increased the scores of swimming safety knowledge and skills and the difference was statistically significant ( t = 4.060, 5.325, p &lt; 0.05); the attitude and behavior scores decreased, and the difference was statistically significant ( t = −4.392, −2.201, p &lt; 0.05).After the experiment, the swimming safety education model is more effective in teaching swimming safety knowledge, attitude, and behavior than the traditional swimming teaching, and the difference is statistically significant ( t = 2.699, 3.852, 4.308, p &lt; 0.05).After the experiment, when the traditional swimming teaching model is compared with the control group, the difference in swimming safety skills was statistically significant ( t = 4.704, p &lt; 0.05) and other dimensions were homogeneous.In conclusion, the traditional swimming teaching can only improve student’s swimming safety skills but cannot reduce student’s drowning injuries.The swimming safety education model is superior to the traditional swimming teaching in terms of swimming safety knowledge, attitudes, and behaviors.Recommendations.For beginners in swimming, the teaching content of swimming self‐rescue skills and swimming safety knowledge should be added.

Journal: Discrete Dynamics in Nature and Society (2022)
Publication types: Research Article;