syedzayyan/paper_mill_benchmark huggingface dataset:
Analysis of the Demand for Continuing Education of Nurses in the Department of Infectious Diseases and Its Influencing Factors

Infection department is unique in working hours, environment, content, methods, and skills requirements, and continuing education plays an important role in stabilizing and improving the professional level of nurses in the infection department.Understanding the needs of nurses in the infection department for continuing education and the possible influencing factors of participating in continuing education and providing a management basis for managers in a targeted way can make the role of continuing education fully play.In this study, according to the characteristics of the department of infection, a questionnaire was designed to investigate the continuing education needs of nursing staff in the department of infection and analyze the influencing factors.The results show that the nursing staff in the infection department had a greater demand for continuing education.Age, professional title, working life, hospital level, and marital status were the risk factors that affected their demand for continuing education.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Design of University Financial Information System Based on Data Mining Technology and IoT

As china’s information construction level keeps getting better and higher education keeps getting better, new rules and regulations are being made and put into place.These new rules and regulations require colleges and universities to have comprehensive budget management, dynamic fund management, scientific forecast analysis and performance assessment, and the integration of campus cards and digital campuses.At present, the financial management concept and financial management software used by colleges and universities have been relatively lagging behind, which cannot adapt to the needs of current information and career development.Therefore, the financial information system of colleges and universities based on data mining technology is designed.The hardware part is designed with corba interceptor, b/s structure, and sql converter.The software part first figures out what kind of financial information platform is needed.Then, using data mining technology, it builds a financial information model.Finally, it designs the functional module of financial information technology and builds the financial index system for colleges and universities.The results of the system tests show that the designed financial information system works well and has some use value.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
Analysis of Related Factors of Mother-to-Child Transmission of AIDS and Evaluation of Measures to Prevent Mother-to-Child Transmission

Aids is still a major public health facing the world.With the implementation of aids prevention projects and the continuous maturity of technology, more and more hiv-positive women choose to have children.However, the children born to these women are a special group.Exposure to hiv and antiviral drugs during the fetal period can increase the success rate of children’s elimination of the mother, which is worthy of attention and research.This article focuses on the analysis of the related factors of mother-to-child transmission of aids and the evaluation of mother-to-child blocking measures, using the method of field research to conduct experiments on aids patients in this city who are pregnant and provide them with antidrug treatment and some barrier measures.Then, the mother-to-child transmission rate was recorded, and the experimental results showed that the antidrug treatment plan is related to mother-to-child transmission.After antidrug treatment, the transmission rate of single-drug treatment is reduced by 5%, and the transmission rate of combined drug treatment is reduced by 10%.It can be seen from this that antidrug treatment is an effective measure to block mothers and babies.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Clinical Study;
Analysis of Prevalence, Influencing Factors, and Countermeasures of Short Stature in Children and Adolescents Aged 6∼14 in Furong District, Changsha City, in 2020

In recent years, children’s and adolescents’ growth and development issues have received increasing attention with the socioeconomic development.The etiology of child short stature involves heredity, race, sex, nutrition, and a variety of endocrine hormones, which is very complex.The age of 6∼14 is the key period of children’s development.Understanding the height characteristics, the prevalence of short stature, and its influencing factors at this stage and formulating preventive measures as soon as possible are conducive to improving the average height of children and reducing the incidence of short stature.In this study, cluster sampling was used to select 56,865 children and adolescents aged 6∼14 years old from 40 primary and secondary schools in furong district of changsha city, and the height of each child and adolescent was measured.The results showed that the overall crude prevalence of short stature in children aged 6∼14 in furong district of changsha is 2.82%.Growth hormone level &lt;10 μg/l, pubertal retardation, familial short stature, low egg intake, and intrauterine growth retardation are independent risk factors affecting the occurrence of short stature.In order to improve the status quo of short stature of children aged 6∼14 in furong district, changsha city, targeted intervention should be strengthened for people with combined high risk factors.

Journal: Evidence-Based Complementary and Alternative Medicine (2021)
Publication types: Research Article;
Analysis of Pathogen Characteristics and Nursing Factors of Tonsil Infection Based on Regression Equation

In order to meet the needs of the analysis and application of regression equation in clinical medicine of tonsil infection, this paper focuses on the semiparametric regression model method, cross-validation method, empirical method, and multiple regression equation analysis of atypical data using regression equation.The general method of analyzing this kind of data is given, and the parameter estimation and hypothesis testing of the model are systematically studied.The experimental results showed that among the 90 paraffin-embedded tissue specimens of chronic tonsillitis and adenoid hypertrophy in this study, 26 out of 49 male children were ebers positive, accounting for 53.06% of male children (26/49 cases).28 of the 41 female children were positive, accounting for 68.29 of the female children (28/41 cases).There were 14 cases in infant group, 20 cases in preschool age group, 25 cases in school-age group, and 31 cases in adolescence group; the ebers-positive rate was 42.86% (6/14 cases) in early childhood and 55.00% in early school-age (11/20 cases), and the ebers-positive rate was 60.00% in school-age group (15/20 cases) and 70.97% in adolescent group.The results showed that the latent infection rate of adenoid hypertrophy ebv in children with chronic tonsillitis showed no significant difference between genders.It is proved that the regression equation method can meet the needs of clinical analysis and application of tonsil infection.

Journal: Scanning (2022)
Publication types: Clinical Study;
Analysis of Influencing Factors of Medication Compliance in Patients with Recurrent Vertebral Fractures after Percutaneous Kyphoplasty and the Role of Family-Centered Education Intervention

To explore the influencing factors of medication compliance in patients with recurrent vertebral fractures after percutaneous kyphoplasty (pkp) and the role of family-centered education intervention.Methods.From january 2018 to january 2021, the general disease-related data survey form and medication compliance questionnaire made by our hospital were used to evaluate the scores of 198 patients with recurrent vertebral fractures after pkp in the department of orthopedics of our hospital.Single-factor and multiple linear regression analyses were used to explore the influencing factors of medication compliance in patients with recurring vertebral fractures after pkp.From 198 patients, 80 eligible patients were selected for further research.According to a random number table method, they were divided into the control group (n = 40) given only antiosteoporosis drug treatment and care and the experimental group (n = 40) combined with family-centered education intervention.After 12 months of intervention, the two groups were evaluated for their knowledge of osteoporosis, medication compliance, and physical health.Results.Of the 198 patients, only 65 had good medication compliance, 90 had poor medication compliance, and 43 were acceptable.Univariate analysis showed that the influencing factors of medication compliance in patients with recurrent vertebral fractures after pkp include the patient’s education, living style, per capita monthly income, combined other diseases, number of hospitalizations, and time since the last hospitalization ( p &lt; 0.05 ).Multiple linear regression analysis showed that patients with recurring vertebral fractures after pkp with high education, living with spouse or children, combined with other diseases, frequent hospitalizations, and short time from the last hospitalization had higher medication compliance ( p &lt; 0.05 ).After the intervention, the disease knowledge mastery of the experimental group was significantly better than before and after the intervention in the control group ( p &lt; 0.0001 ).After the intervention, the medication compliance and health status of the experimental group were significantly better than those of the control group ( p &lt; 0.05 ).Conclusion.The medication compliance of patients with recurrent vertebral fractures after pkp is generally poor, and medical staff need to take targeted interventions based on the main factors that affect the patients’ medication compliance.Family-centered education intervention is an effective way to improve disease awareness, medication compliance, and health status of patients with recurring vertebral fractures after pkp.

Journal: Evidence-Based Complementary and Alternative Medicine (2021)
Publication types: Clinical Study;
Analysis of Diabetes Clinical Data Based on Recurrent Neural Networks

At present, diabetes is one of the most important chronic noncommunicable diseases, that have threatened human health.By 2020, the number of diabetic patients worldwide has reached 425 million.This amazing number has attracted the great attention of various countries.With the progress of computing technology, many mathematical models and intelligent algorithms have been applied in different fields of health care.822 subjects were selected in this paper.They were divided into 389 diabetic patients and 423 nondiabetic patients.Each of the subjects included 41 indicators.Too many indicator variables would increase the computational effort and there could be a strong correlation and data redundancy between the data.Therefore, the sample features were first dimensionally reduced to generate seven new features in the new space, retaining up to 99.9% of the valid information from the original data.A diagnostic and classification model for diabetes clinical data based on recurrent neural networks were constructed, and particle swarm optimization (pso) was introduced to optimise recurrent neural network’s hyperparameters to achieve effective diagnosis and classification of diabetes.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Analysis of Clinical Related Factors of Severe Mycoplasma pneumoniae Pneumonia in Children Based on Imaging Diagnosis

Severe pneumonia is a common acute respiratory disease in children, and it has a rapid onset and violent onset, which often affects the whole body.Moreover, typical clinical manifestations and signs often cannot be taken seriously or covered up in clinical work.Due to the short time for treatment, it is easy to cause improper diagnosis and treatment, aggravate the disease and further deteriorate, and even threaten the life of the child.In order to achieve early intervention and treatment of severe mycoplasma pneumoniae pneumonia in children, reduce or shorten the course of the disease, and improve the cure rate, this paper combines the imaging diagnosis to study the analysis of clinical related factors of severe mycoplasma pneumoniae pneumonia in children.In addition, this paper analyzes the experimental data with hospital case samples, conducts statistical research on the analysis of clinical related factors of severe mycoplasma pneumoniae pneumonia in children, and proposes effective coping strategies.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Analysis of Clinical Efficacy of Clearing Heat and Dispelling Paralysis Soup in the Treatment of Osteoarthritis of the Knee Joint and Its Effect on Patients’ Motor Function

To investigate the effects of clearing heat and dispelling paralysis soup for osteoarthritis of the knee joint on the motor function of the knee joint and the level of inflammation of the organism in patients.Methods.One hundred and sixteen patients with knee osteoarthritis admitted from january 2020 to may 2021 were selected and randomly divided into 2 groups, 58 cases in the control group were treated with loxoprofen sodium dispersible tablets, and 58 cases in the experimental group were treated with qinghe dispel paralysis soup on the basis of the control group and the patients’ balance ability analysis, gait parameter change analysis, vas, joa, aims2-sf scale assessment, and serum index.The treatment effects of the two treatment regimens were analyzed by testing.Results.The anterior-posterior axis, left-right axis, a2-a6, a4-a8, and circumferential axis of the experimental group were lower than those of the control group after treatment ( p &lt; 0.05 ); the step length of the experimental group was higher than that of the control group after treatment ( p &lt; 0.05 ), and there were no significant differences in step speed, double-support phase, and step width ( p &gt; 0.05 ), but both groups improved significantly compared with those before treatment ( p &lt; 0.05 ); the vas score of the experimental group was lower than that of the control group after treatment.The vas scores of the experimental group were lower than those of the control group, and the scores of joa and aims2-sf were higher than those of the control group ( p &lt; 0.05 ); the levels of timp-1 in the experimental group were higher than those in the control group, and the levels of tnf-α, tlr4, mmp-3, and il-1 were lower than those in the control group after treatment ( p &lt; 0.05 ); there was no significant difference in the incidence of adverse reactions between the two groups during treatment ( p &gt; 0.05 ), and the efficiency of the experimental group was higher than that of the control group ( p &lt; 0.05 ).Conclusion.Combined treatment with qinghe dispel paralysis soup can better promote the recovery of balance, improve motor ability, and reduce the development of inflammation in the organism, with high safety and effectiveness.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
An Evaluation Model of Career Happiness and Job Performance of Political Teachers Based on Correlation Analysis in Positive Emotional Environment

In terms of the teaching profession, the term “teacher happiness” refers to a spiritual encounter one has while practising their profession.Teachers believe that they can fulfil their needs and recognise their worth through their work in education and teaching, which will ultimately lead to happiness.Happiness is a necessary condition for teachers to perform well in the classroom, a strong foundation for professional success, the inner motivation for teachers’ professional development, and the ultimate goal of education.In order to comprehend how the two affect one another, the purpose of this essay is to investigate the connection between political teachers’ career satisfaction and job performance.The findings indicated that three factors, namely, work commitment, human‐machine facilitation, and task performance, can also be used to categorise political teachers’ career satisfaction.The overall rating of job performance and the elements affecting teachers’ occupational well‐being are significantly correlated.The typical r ‐correlation coefficient was 0.65.Political educators will perform better at work on a daily basis as a result of their improved occupational well‐being.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
An Empirical Analysis of the Effects of Physical Exercise on Adolescent Mental Health and Its Mediating Mechanisms

The use of physical exercise for the purpose of maintaining adolescents’ mental health is an important topic of psychological research.However, there is no unified conclusion on the effect of physical exercise time on the level of mental health.This paper investigates the causal effect of physical activity on adolescent mental health using a multilayer linear modeling approach and a bootstrap method to test for possible mediating effects.The results of the study showed that there was a nonlinear inverted u‐shaped relationship between physical activity time and adolescent mental health, with a threshold value of 105 min, and the results of the mediating effect analysis showed that self‐assessment of health, self‐confidence, academic stress, peer relationships, and positive peer behaviour were important mediating mechanisms between physical activity and mental health.The results of the mediation effect analysis showed that physical exercise was an important mediating mechanism between self‐assessment, confidence, academic stress, peer relationship, and positive peer behaviour.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
An Analysis of the Cultivation Methods of Visual Communication Design in New Media Environment

In order to better adapt to the teaching development needs of visual communication design in the new media environment, a method of visual communication design training based on the ecological environment of the new media environment is proposed.This method constructs a web‐based professional course network teaching platform by cultivating practical design talents under the new platform, new environment, and new technology, starting from the perspective of practical application, starting from the teaching process of visual communication design specialty, combined with the needs of social development for students’ creative needs, so as to provide rich visual communication design cases, design practice, and exchange and discussion platform for professional teaching.The results show that the local display time of the system page is too long.It takes 3.3 seconds to enter the query page manually, and the script test time is 0.3 seconds, so the page display time takes about 3 seconds.The system basically meets the functional requirements, but from the perspective of resource occupation, the program requirements are further optimized to reduce the utilization of cru.From the analysis of memory usage, it is suggested to optimize the memory recycling mechanism.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
Adoption of Magnetic Resonance Image Features under Segmentation Algorithm in Effect Evaluation of Ginkgo Diterpenoid Lactone Glucamine Injection in Treatment of Cerebral Infarction

Magnetic resonance imaging (mri) image segmentation based on a segmentation algorithm was performed to assess neurological function in patients with acute cerebral infarction, to investigate the efficacy evaluation of ginkgo diterpene lactones meglumine injection (gdli) in the treatment of cerebral infarction and the efficiency of mri image segmentation algorithm.First, the results of the fast semisupervised segmentation algorithm (algorithm group) and traditional processing (control group) were compared and analyzed.The recall rate, accuracy, recognition accuracy, and segmentation time of the two groups were compared.The control group was given conventional treatment, while the algorithm group was given gdli based on conventional treatment.Finally, the difference in serum vascular endothelial growth factor (vegf), hypoxia‐inducible factor‐la (hif‐la), angiotensin (ang)‐1, ang‐2, and interleukin (il)‐6 protein concentration was analyzed after treatment.The algorithm evaluation results showed that the accuracy and recall rate of mri images recognized by the algorithm group fluctuate at 90%.In the control group, the accuracy and recall rate of mri image results fluctuated at 80%, and the data were statistically different ( p &lt; 0.05).The clinical index test results showed that the serum vegf content of the test group was higher than that of the control group, and the data was statistically different ( p &lt; 0.05).In addition, the cerebral blood flow (cbf) and cerebral blood volume (cbv) of the lesion side of the algorithm group were greatly higher than those of the control group on the 30th day, and the differences were significant ( p &lt; 0.05).There was little difference between the method presented in this study and the manual delineation by a physician.Compared with traditional manual segmentation, this method greatly reduced the time required for the segmentation of lesions.The diagnostic specificity, sensitivity, and accuracy of the images segmented by the fast semisupervised algorithm were higher than those of the conventional method, and the diagnostic accuracy of acute cerebral infarction was high.In addition, it was sensitive and accurate to detect acute cerebral infarction, which provided a reliable reference for early diagnosis and condition judgment of patients.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Research Article;
A Study on the Effect of Nursing Intervention Based on Health Behavior Change Integration Theory on Patients with Limb Fracture and Its Effect on Limb Function and Self-Efficacy

To assess the impact on nursing care based on the theory of health behavior change integration in patients with limb fracture and its effect on limb function and self-efficacy.Methods.The starting and ending time of this study is from february 2021 to february 2022.In this study, 116 hospitalized patients with limb fracture were selected as the object of study.According to the method of random number table, the patients were divided into study group and control group.The patients of the study cohort were given nursing healthcare based on the theory of health behavior change integration, while those in the control cohort were given common nursing.The scores of self-rating anxiety scale (sas), self-rating depression scale (sds), frankl compliance scale, self-efficacy scale (gses), activity of daily living scale (adl), and fugl-meyer limb motor function assessment (fma) were studied before and 3 months after nursing.Results.After 3 months of nursing, the sas and sds scores of the study group were lower than those of the control group, and the difference between groups was statistically significant ( p &lt; 0.05 ).After 3 months of nursing, the scores of frankl scale, gses, adl scale, and fma scale in the study group were higher than those in the control group, and the difference between groups was statistically significant ( p &lt; 0.05 ).Conclusion.The value of nursing interventions based on the integration of health behavior change theory is even more significant in patients with limb fractures.It is more helpful in reducing patients’ anxiety and depression, increasing compliance and improving limb function.Self-efficacy and daily living skills were also significantly improved.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Clinical Study;