syedzayyan/paper_mill_benchmark huggingface dataset:
Processing Methods for Digital Image Data Based on the Geographic Information System

Digital image data processing is mainly to input digital image data into a computer to complete the conversion of a continuous spatially distributed image model into a discrete digital model so that the computer can identify, process, and store the processing process of digital image information.Geographic information system (gis) is a computer system that integrates multiple forms of information expression, and it integrates functions such as collection, processing, transmission, storage, management, analysis, expression, and query retrieval, which can quickly discover the spatial distribution of things and their attributes and can express the results accurately and vividly in various intuitive forms.Therefore, on the basis of summarizing and analyzing previous research works, this paper expounded the research status and significance of processing methods for digital image data, elaborated the development background, current status, and future challenges of the gis technology, introduced the methods and principles of permutation matrix algorithm and subimage averaging method, constructed the processing model for digital image data based on gis, analyzed the data structure and its database establishment for digital image, proposed the processing methods for digital image data based on gis, performed the enhancement processing and calculation classification of digital image data, and finally conducted a case analysis and its result discussion.The study results show that the proposed processing methods for digital image data based on gis can perform analogue‐to‐digital conversion of continuous images, complete the steps of sampling, layering, and quantization, and then encode the obtained discrete digital signal into the computer to form an in‐plane collection of pixels; this processing method can also organically combine spatial information and image data and identify, process, and store digital image data from both spatial and attribute aspects.The study results of this paper provide a reference for further research on the processing methods for digital image data based on gis.

Journal: Complexity (2021)
Publication types: Research Article;
Preparation of an Intelligent pH Film Based on Biodegradable Polymers for Monitoring the Food Quality and Reducing the Microbial Contaminants

Hydrogel refers to a three‐dimensional cross‐linked polymeric network made of synthetic or natural polymers that can hold water in its porous structure.The inclusion of hydrophilic groups in the polymer chains, such as amino, carboxyl, and hydroxyl groups, contributes to the hydrogel’s water‐holding ability.At physiological temperature and p h, these polymeric materials do not dissolve in water, but they do swell significantly in aqueous media.Hydrogel can be manufactured out of almost any water‐soluble polymer, and it comes in a variety of chemical compositions and bulk physical properties.Hydrogel can also be made in a variety of ways.Hydrogel comes in a variety of physical shapes, including slabs, microparticles, nanoparticles, coatings, and films.Due to its ease of manufacture and self‐application in clinical and fundamental applications, hydrogel has been widely exploited as a drug carrier.Contact lenses, artificial corneas, wound dressing, suture coating, catheters, and electrode sensors are some of the biomedical applications of hydrogels.The pigment color changes were observed from colorless to pale pink followed by dark reddish‐pink.Anthocyanin was produced in large quantities and tested using a uv‐visible spectrophotometer.At 450–550 nm, the largest peak (absorbance) was detected, indicating the presence of anthocyanin.The ftir analysis of this study shows the different stretches of bonds at different peaks: 2918.309 (‐c‐h alkane stretch), 2812.12 (‐c‐h aldehyde weak intensity), 192320.37/cm (c‐o bend), 21915.50, 2029.08/cm (‐c=c arene group), 1906.94/cm (=c‐h aromatics), 1797.78/cm (=c‐h), 1707.94 (‐c=o ketene), 1579.70, 1382.96 (c‐h alkane strong bend), 889.18/cm (c‐h aromatics plane bend), and 412.77/cm (‐c‐ci strong bond).The spectra of the pva/chitosan film depict the peak’s formation: 1571.88, 1529.55, 1500.62/cm (c‐h alkene strong bend), 1492.90, 1483.26, 1467.83/cm (c‐h alkene strong bond), 670.48, 443.63, 412.77/cm (‐o‐h carboxylic acids with great intensity), 1708.93 (‐c=o ketone), and 1656.0/cm (alkenyl c=c stretch strong bond).

Journal: Bioinorganic Chemistry and Applications (2022)
Publication types: Research Article;
Prevention of Physical Risk and Rehabilitation of Muscle Injury in Sanda Competition

The target.The purpose of this study is to explore the reduction of sports injury risk and verify the effective methods and means of athlete’s muscle injury rehabilitation.Methods.In this study, 80 sanda athletes from a university were randomly selected as subjects, and the main parts of injury of all subjects were counted.After 12 weeks of muscle injury rehabilitation intervention, the pain, acute injury, and technical and tactical evaluation levels of subjects in the intervention group and the control group were compared.Results/discussion.The overall performance of the 80 subjects’ basic exercise ability was at a moderate level, and there was no significant difference between male and female subjects (p &gt;0.05).After 12 weeks of rehabilitation intervention, there was no significant difference in the scores of shoulder joint flexibility, supine straight leg raising, and trunk stable support between male and female subjects in the intervention group in more than 7 sports (p &gt;0.05).In the control group, there were significant differences in the scores of shoulder flexibility and trunk stability of male and female subjects ( p &lt; 0.05 ).Future research should further explore the effect of muscle injury rehabilitation on effectively reducing potential sports injuries and introduce advanced and effective medical rehabilitation methods.

Journal: Occupational Therapy International (2022)
Publication types: Research Article;
Preoperative Nutritional Risk Assessment for Predicting Complications after Radical Cystectomy plus Urinary Diversion for Bladder Cancer

To investigate the predictive value of preoperative nutritional risk assessment on the occurrence of complications after radical cystectomy plus urinary diversion for bladder cancer.Methods.Retrospective analysis of 178 patients with bladder cancer between july 2010 and march 2022 who underwent elective radical cystectomy plus urinary diversion was conducted.The occurrence of complications within 90 days after surgery was counted for all patients, and the postoperative complication rates of patients with and without nutritional risk were compared and analyzed.Also, logistic regression analysis was used to assess the relative risk coefficients of nrs-2002 and the occurrence of postoperative complications.Results.Comparison of clinicopathological characteristics and surgical conditions between the two groups showed that the proportion of combined diabetes mellitus, operative time, and postoperative hospital stay were higher in the nutritional risk group (nrs ≥3 score) than in the no nutritional risk group (nrs &lt;3 score), while the preoperative blood albumin (alb) level was lower than that in the no nutritional risk group (nrs &lt;3 score).The results of multifactorial risk regression analysis showed that low preoperative alb level and high nrs score were independent risk factors for postoperative complications in bladder cancer ( p &lt; 0.05 ).Conclusion.The nrs-2002 nutritional risk score has good predictive value for the incidence of postoperative complications in patients with bladder cancer and provides a scientific basis for perioperative nutritional support.

Journal: Emergency Medicine International (2022)
Publication types: Research Article;
Predictive Value of Preoperative Dynamic Contrast-Enhanced MRI Imaging Features in Breast Cancer Patients with Postoperative Recurrence Time

Although the implementation of surgery has reduced the mortality of breast cancer, postoperative recurrence is still an important problem bothering patients.Dce-gmri can not only clearly display the morphological characteristics of breast lesions but also dynamically observe the blood perfusion of the lesions.On account of this, we explored the predictive value of preoperative dynamic contrast-enhanced magnetic resonance imaging (dce-mri) imaging features in breast cancer patients on postoperative recurrence time of breast cancer.The results showed that dce-mri images can clearly show the hemodynamic characteristics and morphological characteristics of tumor lesions, and have important value in predicting the recurrence time of breast cancer after surgery.The prognosis of early recurrence of breast cancer is worse.Dce-mri can predict the time of postoperative recurrence and provide important clinical references.

Journal: Emergency Medicine International (2022)
Publication types: Research Article;
Prediction Model of Mining Subsidence Parameters Based on Fuzzy Clustering

In view of the inaccuracy of rock movement observation data and the inaccuracy of mining subsidence prediction parameters, a prediction model of mining subsidence parameters based on fuzzy clustering is proposed.Through the analysis of the main geological and mineral characteristics of mining subsidence, the geological and mineral characteristics are simplified according to the third similar theorem.The feature equation is obtained by using the equation analysis method and dimension analysis method.The original fuzzy clustering method is improved, and the iwfcm_ccs algorithm based on competitive merger strategy is obtained.The data of rock movement observation are analyzed by fuzzy clustering.The membership matrix and clustering center of observation station data are obtained, and the regression model based on the weight of membership degree is established.The accuracy and feasibility of the parameter prediction model are verified by analyzing and comparing the actual measurement data and the predicted results of the model.The method reduces the error of the predicted parameters caused by the observation data and provides a method for the future calculation of the predicted parameters.

Journal: Journal of Mathematics (2022)
Publication types: Research Article;
Precision Analysis of Noncircular Gears Based on CNC Machining Technology under Cloud Computing Platform

In order to solve the problem of machining error of noncircular gears, a method based on the analysis and research of the accuracy of noncircular gears based on cnc machining technology under the cloud computing platform is proposed to further improve the technical accuracy of noncircular gears.The error and error items are analyzed mainly, and a model framework based on cloud computing platform is proposed on this basis.The architecture of the system is deeply analyzed, focusing on the dynamic integration method of gear cloud measurement system resources based on cloud platform, building a gear cloud measurement system based on cloud computing platform, and testing needs to use hadoop to install the software that needs to be prepared: virtual machine version, vmware workstation-14.0.0 build-6661328, linux version.The results show that the technical support of the cloud computing platform can effectively improve the accuracy of noncircular gears.

Journal: Shock and Vibration (2022)
Publication types: Research Article;
Performance of Machine Learning and Image Processing in Plant Leaf Disease Detection

The aim of this study is to evaluate infected leaf disease images.Precision agriculture's automatic leaf disease detection system employs image acquisition, image processing, image segmentation, feature extraction, and machine learning techniques.An automated disease detection system offers the farmer with a fast and accurate diagnosis of the plant disease.Automation of plant leaf disease detection system is essential for accelerating crop diagnosis.Using machine learning and image processing, this paper describes a framework for detecting leaf illness.An image of a leaf can be used as an input for this framework.To begin, leaf photographs are preprocessed in order to remove noise from their images.The mean filter is used to filter out background noise.Histogram equalization is used to enhance the quality of the image.The division of a single image into multiple portions or segments is referred to as segmentation in photography.It assists in establishing the boundaries of the image.Segmenting the image is accomplished using the k-means approach.Feature extraction is carried by using the principal component analysis.Following that, images are categorized using techniques such as rbf-svm, svm, random forest, and id3.

Journal: Journal of Food Quality (2022)
Publication types: Research Article;
Storage Method for Medical and Health Big Data Based on Distributed Sensor Network

Monitoring and collecting medical data using embedded medical diagnostic devices with multiple sensors and sending these actual measured data to the corresponding health monitoring centers using multipurpose wireless networks to take necessary measures to coordinate with family medical service centers and regional medical service departments is a popular medical big data architecture.However, healthcare big data is characterized by large data volume, fast growth, multimodality, high value and privacy, etc.How to organize and manage it in a unified and efficient way is an important research direction at present.In response to the problems of low balance and poor security in the storage of data collected by distributed sensor networks in healthcare systems, we propose a distributed storage algorithm for big data in healthcare systems.The platform adopts hadoop distributed file system and distributed file storage framework as the healthcare big data storage solution, and implements data integration, multidimensional data query and analysis mining components based on spark‐sql data query tool, spark machine learning algorithm library and its mining and analysis pipeline development, respectively.The distributed storage model of big data and three data storage levels are constructed using cloud storage architecture, and the data storage intensity as well as levels are calculated by high data access in the upper level, data connection in the middle level, and data archiving in the lower level according to the set known data granularity, odds, and elasticity to realize big data storage.It is experimentally verified that the above algorithm has high distribution balance and low load balance in the storage process.

Journal: Journal of Sensors (2023)
Publication types: Research Article;
Risks and Opportunities of High-Quality Development of Higher Education from the Perspective of ISO45001:2018

At present, the requirements of the high-quality development of higher education in china make the management and control of occupational health and safety risk in universities highly valued.However, the following problems perplexing the universities are people have always ignored the combination of the safety problems and risk management, and there are few studies on its health risk, which makes the management and control of occupational health and safety risk in universities far lag behind the pace of high-quality development of higher education.Therefore, it is very necessary to build a risk evaluation system for high-quality development of higher education with the help of iso45001:2018 occupational health and safety management system tools.To reduce the degree of subjective assignment of weights by human evaluators, this study uses improved ahp and 2-tuple linguistic information method to evaluate the impact of eight factors such as safety risk management and health risk activities on the development of higher education.In addition, three-level indicators for each two-level indicator from the compliance of measures from multiple angles and batches.The results of this study will provide a valuable reference for the risk control and performance improvement (i.e., opportunity response) of higher education from the perspective of iso45001:2018.It will also help to improve the connotation of relevant party management and promote the high-quality development of higher education.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Statistical Analysis of COVID-19 Data: Using A New Univariate and Bivariate Statistical Model

In this paper, a new distribution named as unit-power weibull distribution (upwd) defined on interval (0,1) is introduced using an appropriate transformation to the positive random variable of the weibull distribution.This work offers quantile function, linear representation of the density, ordinary and incomplete moments, moment-generating function, probability-weighted moments, l -moments, tl-moments, rényi entropy, and mle estimation.Additionally, several actuarial measures are computed.The real data applications are carried out to underline the practical usefulness of the model.In addition, a bivariate extension for the univariate power weibull distribution named as bivariate unit-power weibull distribution (biupwd) is also configured.To elucidate the bivariate extension, simulation analysis and application using covid-19-associated fatality rate data from italy and belgium to conform a biupw distribution with visual depictions are also presented.

Journal: Journal of Function Spaces (2022)
Publication types: Research Article;
Sculpture 3D Modeling Method Based on Image Sequence

This thesis first introduces the basic principles of model‐based image sequence coding technology, then discusses in detail the specific steps in various implementation algorithms, and proposes a basic feature point calibration required in three‐dimensional motion and structure estimation.This is a simple and effective solution.Aiming at the monocular video image sequence obtained by only one camera, this paper introduces the 3d model of the sculpture building into the pose tracking framework to provide initial depth information.The whole posture tracking framework can be divided into three parts, namely, the construction of the initial sculpture model, the posture tracking between frames, and the robustness processing during continuous tracking.In order to reduce the complexity of calculation, this paper proposes a new three‐dimensional mesh model and a moving image restoration algorithm based on this model.At the same time, the influence of the intensity and direction factors in the scene is added, the simulation results are given, and the next step is discussed.The optimization work that needs to be done.

Journal: Complexity (2021)
Publication types: Research Article;
Sensor-Based Exercise Rehabilitation Robot Training Method

In order to provide convenience for rehabilitation doctors to formulate rehabilitation plans for patients, this paper proposes a training method for exercise rehabilitation robots based on sensors.In this research, the customized wearable sensor and universal mobile terminal are used as the hardware.Based on the sensor, the motion capture algorithm and motion reconstruction algorithm are developed.The table of experimental results shows that the cost can be saved by using the sensor, and the data can be captured accurately, which can meet the needs of rehabilitation medicine for motor function evaluation and training guidance.The range of motion of the joint and the manual measurement value are within 5°, which can meet the needs of rehabilitation medicine for motor function evaluation and training guidance.The system delay is less than 0.5 s, which has good real‐time performance and can respond quickly to emergencies, ensuring the safety of patients’ out‐of‐hospital rehabilitation.The training method of motion rehabilitation robot based on sensor is helpful for rehabilitation doctors to carry out statistical data of functional evaluation and is of great significance for rehabilitation doctors to make training plans for patients and carry out rehabilitation training.

Journal: Journal of Sensors (2023)
Publication types: Research Article;
Pose Estimation under Visual Sensing Technology and Its Application in Art Design

The study is aimed at solving the problem of large measurement errors caused by the binocular camera in traditional 3d art design, which leads to inaccurate 3d information of the target.The contour information extraction in the process of human motion pose reconstruction is easily affected by the noise in the image.Therefore, a binocular stereo vision system is built first and it integrates image acquisition, camera calibration, and image processing.The dedistortion method is used to process the image because it can reduce errors.Second, a three‐dimensional human motion pose reconstruction model is implemented, the gaussian template is used to remove the noise in the image frame, and the change detection template (cdm) is used to solve the problem of background “exposure” and “occlusion.” finally, simulation experiments are designed to verify the system and model designed.Since the research on the application of pose estimation based on visual sensing technology in art design is still blank, such research has great significance and provides a reference for the research in the field.The literature analysis is used to expound and analyze the application of pose estimation based on visual sensing technology in visual communication design and environmental art design: (1) although the binocular stereo vision system causes some errors in the measurement, the overall error is controlled within 2% and the accuracy is high, which proves that it can be applied to the acquisition of three‐dimensional information of the target in art design; (2) there is a high degree of fitting between the video sequence data created by the three‐dimensional human motion pose reconstruction model designed and the real motion data, which indicates that this method has high accuracy in processing image sequences and the feasibility of applying it to human pose reconstruction in three‐dimensional art design is high; (3) through the analysis of the existing literature, it is found that most of the current visual‐based attitude assessment studies are carried out by using network cameras combined with computers, and the quality of the obtained images is low.The combination of binocular stereo sensor and attitude estimation technology can be applied to the design of advertising, animation, games, and packaging, making the behavior of virtual characters in animation and games more vivid.The combination provides convenience for the collection of environmental spatial information and object attitude information, the formulation of a design scheme, and real‐time monitoring of construction in environmental art design.The purpose of this study is to provide an important theoretical basis for the technical upgrading of art design.

Journal: Journal of Sensors (2021)
Publication types: Research Article;