syedzayyan/paper_mill_benchmark huggingface dataset:
Interior Soft Decoration Product Design Based on 3D Modeling and Image Processing Technology

In order to solve the problems of the traditional 3d simulation system of indoor soft decoration, such as the lack of effective enrichment, rendering means, and poor authenticity when selecting the geometric modeling method to simulate the effect of indoor soft decoration, this paper proposes a 3d simulation system of indoor soft decoration based on open gl and direct3d.The system uses 3dmax software to establish the indoor model, imports the model into the open gl 3d graphics standard library module, draws the indoor soft decoration scene elements using the basic geometric elements, and constrains the scene elements through the wall, overlap, and size constraint functions, so as to ensure the reasonable layout of the indoor soft decoration agent area and enrich the indoor model.After enrichment, the indoor model is transmitted to the direct3d rendering engine module transformation unit to implement the soft decoration layout, and the lighting unit and rasterization unit are used to render the indoor after layout so as to obtain the optimal indoor soft decoration effect and output the 3d simulation image of indoor soft decoration.The experimental results show that the favorability, operation sensitivity, design portability, design satisfaction, and soft fitting effect score of the system are higher than those of the untiy3d system and smart3d system.The average score of this system is about 95, while the average score of the untiy3d system is lower than 89, and the average score of the smart3d system is lower than 85.Conclusion.The three-dimensional simulation effect of indoor soft decoration of this system is good, the design is convenient, the operation is sensitive, and the user satisfaction is high, which provides a reliable analysis basis for indoor design.

Journal: Mobile Information Systems (2022)
Publication types: Research Article;
The Biomechanical Analysis of Jumping Difficulty Movement in National Traditional Sports

In order to explore the relevant factors and the completion of difficult movements, this paper is an important theoretical basis for improving and constructing the evaluation of athletes’ movement quality.It presents a kinematic analysis of the difficult movements of competitive tai chi, taking the difficult movements of the swirl group of competitive aerobics as the research object.The data is collected by different methods.When completing difficult movements, due to different personal exercise habits, this paper takes the right leg as the swinging leg and the left leg as the take-off leg when completing the difficult movements.The test object in this paper adopts the traditional three-step up-step method.The starting time of the take-off stage is consistent with the illustration.By consulting experts for the stage division of the difficult movement, the two movement stages are equally divided into three stages according to the needs of the research: take-off, soaring, and landing.The results show that, from the moment the left foot hits the ground to the moment of maximum cushioning, the angles of the right knee are 176.48° and 165.06°, respectively, and the flexion of the right knee is not large; especially when the left foot touches the ground, the right leg is close to a straight line, indicating that the athlete’s body is in a straight line.The posture is relatively good, the left foot is used as the grounding leg, the angle of the knee joint is reduced from 160.82° to 124.41°, and the left knee buffer angle is 36.40°.As the right leg swings to the ground, the left knee and left hip are slightly stretched, and the right knee and right hip are slightly flexed.This change is also reflected in the fact that the center of gravity changes from the direction of the horizontal speed at this stage.Move the left side of the body slightly to the right.Difficulty movements are different in the landing stage, and their joint parameters are also different.When the landing leg touches the ground, there is no significant difference in the maximum cushioning time, the degree of torsion of the shoulder and the hip is different, the relative rotation position of the shoulder and the hip is opposite, and the posture of the shoulders at the time of landing is different.In teaching, the landing leg and the end direction of the rotation are not the same; it is necessary to strengthen the strength training of the legs, to experience the force feeling of the different degrees of rotation of the shoulder joint and the hip joint, as well as the spatial perception ability, and take the initiative to actively land.The magnitude of the rear cushion and the coordination of the trunk and the limbs are used to avoid unnecessary damage during the landing phase.

Journal: Mobile Information Systems (2022)
Publication types: Research Article;
The Construction of Green Building Integrated Evaluation System Based on BIM Technology

In order to study the problems of information disconnection, poor coordination of project participants, design evaluation, and so on, in the process of green building evaluation in china, this paper proposes a construction method of green building integrated evaluation system based on bim technology.This method constructs the research framework through the research on green building evaluation and bim (building information modeling), analyzes the whole life cycle of bim in green building, solves the problems existing in green building evaluation in china through the application of bim, expounds the green building evaluation process under bim environment, and studies the information interaction of green building evaluation under bim environment and the application of bim in green building design evaluation and operation evaluation.The results show that by studying the application of bim in green building evaluation, it is demonstrated that the green building evaluation based on bim can effectively improve the evaluation efficiency and realize the informatization, integration, and high efficiency of green building evaluation.

Journal: Mobile Information Systems (2022)
Publication types: Research Article;
Psychological Analysis of Athletes during Basketball Games from the Perspective of Deep Learning

Due to the influence of psychological factors during sports, basketball players often change the shooting rhythm in sports, which will reduce the shooting rate and directly affect the training effect.Therefore, we need to analyze the basketball shooting process of some athletes, which is not a complete negation of traditional training methods, but a psychological analysis of some athletes’ shooting in the course of competition, so as to complement the feedback and training information after the game.With the great improvement of computer computing power, deep learning natural language processing can help people analyze and solve previously unsolvable problems in production and life.The psychological emotion of adolescence has a great influence on the study and life of middle school students.At present, the unified monitoring and analysis of the daily life of middle school students need not only a lot of manpower, but also slow speed.If the psychological problems are not found in time and feedback is given, it will cause a series of adverse effects on individual athletes.The neural network model based on deep learning can process students' daily mass text information quickly and accurately, and then give comprehensive judgment, which is a good solution.This paper applies the neural network algorithm of the bi-lstm model and cnn model to study the text data, and finally has 95.55% and 90.03% accuracy in the psychological analysis experiment, which provides a feasible solution to solve the batch rapid analysis of psychological changes reflected in the daily text of athletes during basketball.Some suggestions are put forward on how to strengthen and improve the psychological quality of college basketball players and their ability to bear pressure and difficulties.

Journal: Mobile Information Systems (2022)
Publication types: Research Article;
Predicament and Thinking of College Students’ Employment and Entrepreneurship under the Background of Supply-Side Reform

Based on the analysis of the current employment and entrepreneurship of college students based on the supply-side structural reform, the employment and entrepreneurship guidance of college students is far from meeting the needs of the society.Therefore, the innovation of talent training mode needs to become an important goal of college development at this stage.Based on the previously mentioned background, this paper included 853 university students as research objects and their data from 2010 to 2018.First, we used the bp neural network as the starting point to conduct in-depth research, selected the sequential model algorithm based on the keras framework, built a one-layer network and six types of eigenvalue labels to predict the development direction of college students’ employment and entrepreneurship, and evaluated the prediction accuracy of the model.This proves that the prediction effect of the model has the value of continuing in-depth research, and then, the prediction model is further optimized.Then, we added a three-layer network to the model and an sgd optimizer and used softmax as the regression function to verify that the optimized model predicts well.The average accuracy of the prediction model constructed in this paper is 81.48%, the standard deviation is 4.34%, the acc value of the model is stable at around 0.835, and the loss value is stable at around 0.3, which proves that the prediction model has a good prediction.It provides a set of application models that can be used for reference for the combination of bp neural network related knowledge and college students’ employment and entrepreneurship development direction prediction.Based on the background of the supply-side structural reform, this paper mainly analyzes and researches the current employment and entrepreneurial paths of college students in my country, hoping to provide reference for the cultivation of talents in colleges and universities.

Journal: Mobile Information Systems (2022)
Publication types: Research Article;
A Study on the Application of Visual Perception in Art Design Based on Industrial Mathematics Models

To study the beautification of art design and analyze the application of visual perception in art design, this paper proposes an image beautification processing technique based on multiple chromatic aberration compensation of illumination.The paper will then investigate the task of classifying styles, genres, and artists based on deep learning methods on fine art design images.The proposed method automatically classifies fine art design images with significant improvements in classification accuracy and efficiency.Experimental tests are conducted and the results show that the beautification of night images using this technique has good fine art presentation capabilities, improves the aesthetic and visual sensory expressive performance of the images, and has good fine art application value.

Journal: Mathematical Problems in Engineering (2022)
Publication types: Research Article;
Analysis of Hepatic Artery Infusion (HAI) Chemotherapy Using Randomized Trials of Floxuridine (FUDR) for Colon Cancer Patients with Multiple Liver Metastases

Colorectal cancer (crc) is one of the leading causes of cancer-related death, with most of the people who have the disease developing numerous liver metastases.Sixty percent of colon cancer patients have liver metastases.Only 25% of those with resectable hepatic metastases are alive, and recurrence occurs in nearly half of these cases.Regardless of the fact that left-sided cancer has a higher rate of liver metastases, past study reveals that left- and right-sided liver metastatic colon cancer patients have different survival rates.Hepatic artery infusion (hai) combined with systemic chemotherapy is a treatment option for patients with unresectable liver-only or liver-dominant colon liver metastases.Although hai has only been performed in a few locations previously, this study used randomized trials of floxuridine (fudr) to characterize patient selection and first perioperative results during the deployment of a new hai program.In this research, we also looked at the technical aspects of placing implantable pumps and catheters for hai chemotherapy, as well as the efficacy, morbidity, and outcomes of this therapy in colon cancer patients with numerous liver metastases.The parameters like toxicity, overall survival rate, response rate, and progression-free response for the suggested therapy are also analyzed.These findings have important implications for colon cancer adjuvant hai chemotherapy.

Journal: Gastroenterology Research and Practice (2022)
Publication types: Clinical Study;
The Effect and Related Mechanism of Action of Astragalus Compatible with Curcumin against Colon Cancer Metastasis in Mice

Colon cancer (cc) is the third most common tumor worldwide.Colon carcinogenesis is strongly linked to inflammation.The initiation and progression of colon cancer may be influenced by epigenetic processes.Cancer metastasis is a multistep process involving several genes and their products.During tumor metastasis, cancer cells first enhance their proliferative capacity by lowering autophagy and apoptosis, and then, their capacity is stimulated by boosting tumors’ ability to take nutrients from the outside via angiogenesis.Traditional treatment focuses on eliminating tumor cells by triggering cell death or activating the immune system, which often results in side effects or chemoresistance recurrence.On the contrary, chinese medicine theory considers the patient’s entire inner system and aids in tumor shrinkage while also taking into account the mouse’ general health.Because many chinese herbal medicines (chm) are consumed as food, using edible chms as a diet resource therapy for colon cancer treatment is a viable option.Two traditional chinese herbs, astragalus membranaceus and curcuma zedoaria, are commonly utilized jointly in colon cancer preventive therapy.As a result, the anticancer effect of astragalus and curcumin (ac) on colon cancer suppression in an 18-week aom-dss colon cancer mouse model is investigated in this research.These findings may offer a scientific foundation for investigating colon cancer diagnostic biomarkers and therapeutic application of ac in colon cancer treatment.These studies also highlighted the potential effect and mechanism of ac in the treatment of colon cancer, as well as providing insight into how to effectively use it.

Journal: Gastroenterology Research and Practice (2022)
Publication types: Research Article;
The Influence and Prediction of Industry Asset Price Fluctuation Based on The LSTM Model and Investor Sentiment

In a real-world environment, not only can different levels of market expectations be triggered by factors such as macroeconomic policies, market operating trends, and current company developments have an impact on sector assets, but sector asset rises and falls are also influenced by a factor that cannot be ignored: market sentiment.Therefore, this paper uses lstm to construct a forecasting model for industrial assets based on investor sentiment and public historical trading data of industry asset markets to determine future trends and obtains two conclusions: first, forecasting models incorporating investor sentiment have better forecasting effects than those without the incorporation of sentiment characteristics, indicating that the factor of investor sentiment should not be ignored when studying the problem of industry asset forecasting; secondly, investor sentiment quantified by different methods.

Journal: Mathematical Problems in Engineering (2022)
Publication types: Research Article;
Development of Ecological Health Tourism Products under the Background of Internet+

With the development of domestic economy and the improvement of people’s living standard, tourism has become more and more popular as a leisure lifestyle.The explosive growth of the mobile internet has caused the problem of “information overload”.The travel recommendation system can help tourists obtain the travel information that users are interested in from the massive data.Ecological health tourism is a special tourism product with ecological environment as the background and leisure health activities as the theme.With the development of china’s urbanization and the intensification of population aging, the chinese people’s demand for health tourism products and ecological health tourism market is becoming stronger and stronger, and the development prospect is extremely broad, but there is not much research in this field in the academic circles at present.This paper applies the collaborative filtering (cf) to travel recommendation to provide users with accurate travel recommendation services.However, because the traditional cf only relies on a single user’s rating data, and has its own defects, it cannot meet the complex needs of users in the tourism industry.This paper improves the traditional cf and designs and implements a tourism recommendation system on this basis.Combine spark cloud computing platform technology and tc-personal rank algorithm to achieve a breakthrough in the algorithm.Through experiments, it can be found that the accuracy of product recommendation can be improved by 75.3% for the algorithm designed in this paper.Overall, the recall rate can reach 65.7%.And it can also achieve good results in recommendation satisfaction and recommendation coverage.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Designing and Implementing a Terminal Platform to Manage and Detect the Health of Exercise Parameters Based on Internet Objects

In order to realize the research on vital signs monitoring based on the internet of things, in view of the urgent needs for mobile health and universal medical treatment in china, this paper puts forward the platform design and implementation of exercise parameter health management and detection terminal based on the internet of things.Firstly, the overall architecture of the exercise heart rate monitoring system is designed, and the design of the heart rate acquisition module is also put forward, in order to monitor human heart rate data conveniently, quickly, and in real time, considering the portability and low power consumption of the system, a wearable heart rate real-time monitoring system is designed in this paper.The experimental results show that the maximum individual average heart rate difference is 4.11 bpm and the overall average heart rate difference is 2.24 bpm.After processing with the adaptive hybrid filtering algorithm, the maximum individual average heart rate difference is 0.69 bpm, and the overall average heart rate difference is 0.42 bpm.The average standard deviation of the difference between the 10 groups of measured values and reference values with and without the filtering algorithm is 0.304 and 2.788, respectively, which is about 9 times higher.The accuracy and stability of the filtering algorithm are greatly improved.The whole system can run well and can be applied to practical sports training guidance.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Modeling and Simulation of Basketball Players’ Cardiopulmonary Endurance Sensor under Different Intensity Training

In order to explore the effects of hit and mict on aerobic endurance of college basketball players.By analyzing the difference between the cardiorespiratory endurance of basketball-specialized college students and the certain correlation between their athletic ability, it can better serve the practice of basketball training and provide certain theoretical guidance and theoretical guidance for the improvement of basketball-specialized college students’ athletic fitness, with a practical application value.37 male college basketball players were randomly divided into the hit group and mict group.They were trained four times a week for 10 weeks.The special indexes of cardiopulmonary and basketball were measured during and before and after exercise.The experiment shows that the heart rate in hit fast running stage is significantly higher than that in mict, and the stimulation to cardiopulmonary function is stronger.Hit and mict are difficult to improve athletes’ vo2max, but they can significantly improve the utilization rate of vo2max of vat, and the effect of hit is better than mict.Hit and mict have significant effects on improving the performance of 15 m × 17 × 4 run, and the former has obvious advantages.However, in terms of improving the performance of 3/4 sprint, hit improved significantly.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Implementation of Personalized Information Recommendation Platform System Based on Deep Learning Tourism

In order to provide tourists with better tourism services, a system method of personal information recommendation platform based on deep learning tourism is proposed.The system includes noise reduction autoencoder, feature extraction module, data preprocessing module, recommendation calculation module, expert evaluation module, recommendation result output module, customer feedback module, and storage module.The personal information recommendation platform system based on deep learning tourism of the present invention enables tourists to obtain tourism information conveniently and quickly through scientific information organization and presentation form and helps tourists to better arrange tourism plans and form tourism decisions.By effectively aggregating multiple neighborhoods of nodes, embedding high-order collaboration information into the node embedding vector, obtaining the potential preferences of users, solving the problems of user data sparse and cold start, and finally through experimental analysis, a research method is proposed.It is used to build the model of tourist attraction recommendation system.Experimental results show that the proposed method for cold-start user recommendation has the best performance in terms of accuracy, recall, and normalized loss cumulative gain, and it is 17.9% higher than bpr in recall rate recall@5 and 11.8% higher in accuracy rate.It is proved that the system has a significant impact on the diversity and novelty of tourist attraction recommendation.

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