syedzayyan/paper_mill_benchmark huggingface dataset:
Study on Meteorological Disaster Monitoring of Field Fruit Industry by Remote Sensing Data

Meteorological disasters have brought a great negative impact on people’s lives.With the rapid development of modern science and technology, the detection technology of meteorological disasters has been continuously improved.At present, satellite remote sensing detection technology has made gratifying achievements, and it has a good application in meteorological disaster prediction.In this paper, the application of satellite remote sensing technology in the process of meteorological disaster monitoring is discussed in depth.In traditional work, the accuracy and timeliness of meteorological disaster monitoring is the key and difficult point of meteorological disaster prevention.Using satellite telemetry to monitor meteorological disasters can effectively improve the accuracy and timeliness of meteorological disaster monitoring, provide reasonable solutions and decision-making basis for meteorological disaster prevention, and achieve the purpose of disaster prevention and mitigation.This paper introduces the basic principle, technical system, and important role of satellite remote sensing technology, expounds on the application of satellite remote sensing technology in the monitoring of agricultural meteorological disasters such as water, drought, freezing, and hail, and provides a scientific reference for farmers, agricultural sustainability, and agricultural decision-making.The continuous development of our country’s modern social economy has put forward higher requirements for agricultural production.Traditional monitoring technology can no longer meet the needs of agricultural meteorological disaster monitoring.The scientific application of remote sensing monitoring technology has important value, which can effectively improve the detection level and make it have higher accuracy and real-time performance, thereby promoting modern agricultural production in china.Based on the analysis of the application value of remote sensing monitoring technology, this paper comprehensively discusses the specific conditions of different disasters monitored by remote sensing monitoring technology in agricultural production.

Journal: Advances in Meteorology (2022)
Publication types: Research Article;
Use Python Data Analysis to Gain Insights from Airbnb Hosts

This paper uses python and its external data processing package to conduct an in-depth analysis machine study of airbnb review data.Increasingly, travelers are now using airbnb instead of staying in traditional hotels.However, in such a growing and competitive airbnb market, many hosts may find it difficult to make their listings attractive among the many.With the development of data science, the author can now analyse large amounts of data to obtain compelling evidence that helps airbnb hosts find certain patterns in some popular properties.By learning and emulating these patterns, many hosts may be able to increase the popularity of their properties.By using python to analyse all data from all aspects of airbnb listings, the author proposes to test and find correlations between certain variables and popular listings.To ensure that the results are representative and general, the author used a database containing many multidimensional details and information about airbnb listings to date.To obtain the desired results, the author uses the pandas, nltk, and matplotlib packages to better process and visualize the data.Finally, the author will make some recommendations to airbnb hosts based on the evidence generated from the data in many ways.In the future, the author will build on this to further optimize the design.

Journal: Advances in Mathematics (2021)
Publication types: Research Article;
Abnormal GRHL2 Methylation Confers Malignant Progression to Acute Leukemia

Abnormal methylation of grainyhead-like 2 (grhl2) is associated with a substantial role in the malignant phenotype of tumor patients.Our present research is aimed at studying the abnormal expression of grhl2 and the association of methylation in patients with acute leukemia and its relationship with prognosis.Materials and methods.We used quantitative real-time polymerase chain reaction (q rt-pcr) for detecting the aberrant expression level of grhl2 in 60 patients with acute leukemia and 60 normal controls.We analyzed the significant correlation between the expression level of grhl2 with clinicopathological features and patients’ prognosis in acute leukemia using the corresponding statistical methods.Secondly, we employed q rt-pcr and western blotting to detect the m rna and protein levels of grhl2 in leukemia cell lines.Next, we used methylation-specific polymerase chain reaction (msp) technology for detecting the methylation of grhl2 in clinical samples with acute leukemia and cell lines.Then we investigated the demethylating effect of arsenic trioxide and 5-azacitidine on the m rna and protein expression levels of grhl2 in cell lines of acute leukemia.Finally, we studied the effects of arsenide trioxide and 5-azacitidine on the proliferation of leukemia cells and the tgf-β signaling pathway.Results.We found a lower level of grhl2 expression not only in acute leukemia patients but also in cell lines when compared with normal controls.At the same time, the expression level of grhl2 in patients with acute leukemia was significantly correlated with leukocyte count, platelet count, and cytogenetic risk grouping.In addition, the lower grhl2 expression group showed a significantly lower overall survival rate in acute leukemia patients than that of patients with a higher grhl2 expression group.Univariate and multivariate analyses revealed that the expression of grhl2 is an independent risk factor in acute leukemia patients.The methylation level of the grhl2 promoter region in acute leukemia patients and cell lines was significantly higher than the normal control group, and we found the elevated m rna and protein levels of grhl2 in acute leukemia cell lines after the use of the demethylation drug arsenic trioxide and 5-azacitidine.At the same time, arsenide trioxide and 5-azacitidine are associated with the inhibition of cellular proliferation of acute leukemia cells and also promote the elevated expression of tgf-β signaling pathway-linked proteins, including tgf-β, smad2, smad3, and smad4.Conclusion.Increased expression and methylation level of grhl2 are closely associated with the prognosis and malignant phenotype of acute leukemia patients and play an irreplaceable role in the occurrence and development of patients with acute leukemia.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
The Application of Magnetic Resonance Imaging in Skeletal Age Assessment

Of the study.To assess whether skeletal age can be determined from left-hand magnetic resonance imaging (mri) using the greulich &amp; pyle (g&amp;p).Method.The study includes 80 patients identified from an endocrine clinic, two males and two females from each of 5 age groups (&lt;5, 5 to 7, 8 to 10, 11 to 13, and 14 to 16 years).Skeletal age as determined from an open mri scanner and radiographs performed on the same day was compared for each child.Two observers assess the skeletal age from radiographs and mri images independently.After a period of at least three weeks, observers determined the skeletal age of all patients independently.All of the images were in different and random orders, on both of the assessment occasions.The agreement was assessed using the interclass correlation coefficient and bland altman plots.Problem statement.The recurrent use of left-hand radiography in children with chronic conditions might result in the patient being exposed to the same image several times throughout the course of their lives.Use of radiation-free methods such as magnetic resonance imaging (mri) may be able to assist in reducing the risks associated with radiation exposure, if done properly.Results.Patients’ age ranged from 3 to 16 years, in which the mean of the chronological age was 9.3 years (±2.9) and 9.8 years (±2.7) in girls and boys, respectively.The interrater agreement for skeletal age determination was 0.984 for radiographs and 0.976 for mri scans.Using the g&amp;p technique, for observer 1, intraobserver agreement for radiographs and dxa was 0.993 and 0.983, respectively, and 0.995 and 0.994, respectively, for observer 2.Plotting the rater readings against the line of equality shows no significant differences between readings acquired from radiographs and mri scans.Conclusion.For the study contribution, it is possible to employ open compact mri to determine the skeletal age of a person.Our results showed that left-hand mri scans were of better quality than the radiographs.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Clinical Effect of Butylphthalide Combined with Rt-PA Intravenous Thrombolysis in the Treatment of Acute Cerebral Infarction

To assess the clinical effect of butylphthalide combined with rt-pa intravenous thrombolysis in the treatment of acute cerebral infarction (aci).Methods.Totally, 312 acute cerebral infarction patients were included in this research.Those in the group for experiment received butylphthalide (25 mg qd) combined with rt-pa intravenous thrombolysis (0.9 mg/kg qd), while the control group received rt-pa intravenous ( p &lt; 0.05 ).Moreover, nihss (nih stroke scale/score) and barthel index scores in the two groups improved, nihss score had ameliorated, and barthel index score was higher than that in the reference group ( p &lt; 0.05 ).Conclusion.The combination of butylphthalide and recombination plasminogen activator alteplase (rt-pa) intravenous thrombolysis has a significant clinical effect in the treatment of acute cerebral infarction.It can alleviate the inflammatory symptoms, accelerate the recovery of neurological function, and improve the ability of daily living.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Clinical Study;
Research on the Dilemma and Path of Rural Industry Integration and Internet Revitalization Driven by e-Commerce

Because e-commerce is based on the internet, it has the advantages of fast response speed and strong promotion ability, which potentially mitigates the problems of low popularity and unreasonable industrial structure in the development of rural industries.This paper integrates internet technology, studies in detail the functional process of rural industries integrating the internet, and establishes the corresponding platform.Then, it analyzes the problems of rural industrial integration of the internet to achieve rural revitalization and applies this rural industrial integration of the internet revitalization platform to the rural development of different cities.By studying the difficulties in rural industry among cities, this paper compares and analyzes the optimization measures of this path and puts forward the corresponding solutions.In short, this paper integrates rural industry with internet technology, which greatly improves the popularity of rural industry, optimizes the rural industrial structure, and provides ideas and experimental support for the realization of rural revitalization.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Convolution-Based Design for Real-Time Pose Recognition and Character Animation Generation

Human pose recognition and its generation are an important animation design key point.To this end, this paper designs new neural network structures for 2d and 3d pose extraction tasks and corresponding gpu-oriented acceleration schemes.The scheme first takes an image as input, extracts the human pose from it, converts it into an abstract pose data structure, and then uses the converted dataset as a basis to generate the desired character animation based on the input at runtime.The scheme in this paper has been tested on pose recognition datasets and different levels of hardware showing that 2d pose recognition can reach speeds above 60 fps on common computer hardware, 3d pose recognition can be estimated to reach speeds above 24 fps with an average error of only 110 mm, and real-time animation generation can reach speeds above 30 frames per second.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
Analysis of Feasibility Modeling of Multimode Physical Fitness Training for Long-Distance Runners

Because the traditional multimode feasibility modeling analysis method of physical fitness training for long‐distance runners has the problems of long modeling time and low modeling accuracy, a new multimode feasibility modeling analysis method for physical fitness training of long‐distance runners is proposed.The improved lle (local linear embedding) method is used to reduce the dimensionality of the training data for the physical fitness of long‐distance runners.According to the processing results, the information theory is used to analyze the information content of the physical fitness training features of the long‐distance runners, the information entropy of each feature is calculated, and the long‐distance runners are extracted.Athlete’s physical fitness enhancement training characteristics, combined with quantitative regression analysis method to carry out the information regression analysis of the long‐distance runners’ physical fitness training multimode statistical sequence, construct the feasibility evaluation model of the long‐distance runners’ physical fitness training multimode and complete the feasibility of the long‐distance runners’ physical fitness training multimode feasibility study mode analysis.The simulation experiment results show that the proposed method has higher accuracy and shorter modeling time for multimode feasibility modeling of physical fitness training for long‐distance runners.

Journal: Wireless Communications and Mobile Computing (2021)
Publication types: Research Article;
Evaluation and Analysis of College Students’ Mental Health from the Perspective of Deep Learning

College students are easily affected by the outside world, which leads to mental health problems, so it is particularly important to accurately evaluate and analyze the mental health status of college students.At present, the evaluation and analysis model of college students’ mental health is inaccurate and inefficient, which cannot analyze the mental health problems of college students.In order to evaluate and analyze the mental health problems of college students more accurately, this paper designs an evaluation and analysis model of college students’ mental health from the perspective of in-depth learning.The accuracy of model evaluation and analysis is improved, and a better comparison result is obtained.Firstly, the bp neural network model was compared with the logistic model and arima model, and the results showed that the accuracy of the bp neural network model was more than 70% in five comparisons and was higher than that of the logistic model and arima models.Second, the bp deep learning method is compared with several conventional methods (knn, mf, ncf, and dmf) in the comparison phase of the model.The rmse, mae, and mape of the bp method are lower than those of the other four traditional methods.Finally, in the comparative experiment, the precision and auc of the bp model are improved by 2%, and the three indicators of precision, recall, and f1 are also higher than those of other models.Through the specific evaluation of the five indicators of the four college students, from the five indicators of psychological adaptability, frustration, emotional stability, temperament, and personality, the mental health of the four college students is better.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
Clinical Characteristics, Treatment, and Visual Prognosis in Pediatric Endophthalmitis: A 232-Case Retrospective Study

In infective endophthalmitis, once the patient’s vision is seriously damaged, the damage to children’s vision is particularly serious.The main purpose of this study is to investigate the etiology, epidemiology, treatment, and visual prognosis of children’s endophthalmitis and to conduct an in-depth analysis.Study design.This study collected case data from the beijing tongren hospital capital medical university in the period from january 1, 2002 to january 1, 2018.The basic conditions for inclusion in the collection range were patients who were less than or equal to 14 years old and had a history of infectious endophthalmitis.A retrospective study and analysis of etiology, epidemiology, treatment, and visual prognosis were performed.Kappa and chi square test were used for statistical analysis.Results.A total of 232 cases were collected, with an average age of 6.33 ± 2.89 years (range 8months to 14 years).The most common etiologies were ocular trauma (93.5%) and previous ocular surgery (5.2%).Overall, 81 samples were sent to the microbiology department for direct smear and culture, from which 21 organisms were isolated.28 cases (39.5%) were culture-positive.The most organism was gram-positive organisms.In treatment, the proportion of ppv use combined with silicone oil filling had increased gradually in three phases, while the other treatments were almost decreased or nearly similar.The final visual result is 22 (9.5) in 20/200 or better, 65 (28.0) in cf-20/200, 38 (16.4) in hand move (hm), 27 (11.6) in light perception (lp), 21 (9.1) in no light perception (nlp), and 59 (25.4) did not match (nm).Conclusion.Penetrating ocular trauma is the most common cause of infectious endophthalmitis in children.The detection rate of microorganisms is low and helpless for the treatment.In this study, it was found that despite the aggressive treatments such as antibacterial and vitrectomy, the ultimate improvement in vision was highly undesirable.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Analysis of Etiology and Risk Factors of Catheter-Associated Urinary Tract Infection in Critically Ill Patients and Research on Corresponding Prevention and Nursing Measures

Catheter-associated urinary tract infection (cauti) is the most common complication in patients with indwelling catheterization.The incidence of cauti in my country is still at a relatively high level compared with foreign countries, especially for the icu, which has a high usage rate of urinary catheters, to focus on prevention and control.This article focuses on studying the risk factors of cauti in critically ill patients and discusses targeted preventive care measures.This article investigates and examines the clinical data of cauti in critically ill patients.After statistical analysis, the risk factors that affect cauti are summarized, so as to derive the cause of cauti in order to strengthen clinical care and to further study the prevention, control, and nursing of cauti to provide reference.Clinical data shows that the cauti infection rate of patients with catheter indwelling ≥7 days is greater than that of patients with catheter indwelling days less than 7 days.The cauti infection rate of the patients who change the urine collection bag every day or ≥7 days is greater than that of the patients who change the urine collection bag within 2 to 4 days.

Journal: Applied Bionics and Biomechanics (2021)
Publication types: Research Article;
Construction of Neonatal PICC Nursing Quality Evaluation System

In order to improve the quality of neonatal care, this study analyzed the construction of picc and scientifically evaluated the quality of picc.Methods.A total of 100 neonatal patients admitted to the pediatric medical intensive care unit of the people’s hospital in laizhou city of shandong province between january 2015 and december 2018 were selected for nursing intervention.They were randomly divided into 50 cases in the observation group and 50 cases in the reference group.In the observation group, 50 were neonatal patients who received and completed picc catheterization care, and in the reference group, 50 were neonatal patients with traditional conventional puncture care, picc nursing quality evaluation index system, and nursing quality standard were applied, and questionnaire survey and patient satisfaction survey were conducted in the treatment.The two groups were compared for the success rate of one puncture, catheter detachment, treatment of local bleeding, incidence of nursing risk during other treatment, and other related nursing quality results.Results.The incidence of related medical and nursing risks in neonatal patients such as one-time puncture success rate, catheter detachment during treatment, and local bleeding was significantly lower than those in neonatal patients receiving conventional nursing methods.The incidence of nursing risk events during puncture was effectively reduced.It is shown in the comparison of adverse events in neonatal pediatric nursing in the fourth quarter of 2017 and 2018.In 2018, the proportion of adverse events in neonatal nursing is decreasing, the quality index of nursing is improving, and the satisfaction of patients’ families and relevant personnel in treatment is increasing.Conclusion.The construction and application of neonatal picc nursing quality evaluation system can improve the success rate of one-time puncture, reduce the pain of newborns, improve the nursing quality evaluation system, scientifically and reasonably provide effective methods and basis for hospital picc nursing, and play an important role in the development of pediatric nursing.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Application of Emotional Factors of Ink Symbols Evaluated by Network Model in Modern Visual Image Design

Accurate and fast recognition of ink symbols can enhance the perception ability of intelligent ink symbols in the environment, provide information input for the operation of intelligent ink symbols, and improve the perfection of ink painting.This paper proposes an end-to-end deep neural network model based on yolov3 for overall and individual recognition of ink symbols from a computer vision perspective.Ink symbol images generated by the simulation software are used for learning the overall and individual ink symbol detection models.Experiments demonstrate that the yolov3 detection algorithm has a good detection effect on ink symbolic targets, and the recognition of individual ink symbols has higher accuracy and flexibility, which provides a preliminary solution idea to solve the ink symbol information perception problem.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;