syedzayyan/paper_mill_benchmark huggingface dataset:
Analysis of the Effect of Mindfulness Behavior Intervention Combined with Progressive Breathing Training on Pulmonary Function Rehabilitation in Patients with Chronic Obstructive Pulmonary Disease

Studies have shown that 50%–70% of patients with chronic obstructive pulmonary disease (copd) have fatigue in addition to respiratory symptoms, so relieving respiratory symptoms and reducing fatigue are the main treatment objectives for copd patients.This study focuses on the effect of positive behavioral intervention combined with progressive breathing training on pulmonary function rehabilitation in patients with copd.Methods.86 patients who underwent copd treatment in our hospital between august 2020 and december 2021 were selected as study subjects and were divided into control (n = 43) and study groups (n = 43) using the random number table method.Patients in the control group were given conventional care, treatment, and health guidance, while patients in the study group were given positive behavioral intervention combined with progressive breathing training on this basis.Patients in both groups were compared on the basis of multidimensional fatigue inventory 20 (mfi-20) score, the medical coping questionnaire (mcmq score), the massive attentional awareness scale (maas) score, and pulmonary function indicators (including the percentage of forced expiratory volume one second (fev1%), peak expiratory flow (pef), forced vital capacity (fvc), and 6-min walk distance (6mwd)) and quality of life (mcmq) scores before and after 12 weeks of intervention.Results.After 12 weeks of intervention, the study group had higher mfi-20 scores (comprehensive fatigue, physical fatigue, reduced activity, decreased power, and mental fatigue), confrontation scores on the mcmq scale, maas scores (observation, description, nonjudgmental to intrinsic experience, nonresponsiveness to intrinsic experience, and perceived behavior), fev1%, pef, fvc, and 6mwd levels than the control group ( p &lt; 0.05 ).The scores of avoidance and submission on the mcmq scale, and all scores of quality of life (cough, expectoration, shortness of breath, chest tightness, housework, going out, sleep, and energy) were lower than those of the control group ( p &lt; 0.05 ).Conclusion.Positive behavioral interventions combined with progressive breathing training have a strengthening effect on the clinical treatment of copd patients.Positive behavioral interventions combined with progressive breathing training are simple to implement as individual self-regulation methods and can be practiced on their own after being familiar with certain methods and techniques, and long-term adherence helps individuals cope with the stimulation of adverse events.Trail registration.The clinical registration number for this research is l2020083.

Journal: Emergency Medicine International (2022)
Publication types: Clinical Study;
Analysis of Risk Factors for Pneumonia Death in ICU Environment Based on Logistic Regression

To explore the risk and protect factors for death of pneumonia patients in intensive care unit (icu), we conducted this logistic regression research.Methods .We collected demographic and nursing care data for 80 patients form wuhan fourth hospital, in which 40 patients were dead and the other 40 patients were alive.Difference analysis, pearson’s correlation matrix, and logistic regression were conducted to explore the risk and protective factors for living status of pneumonia patients in icu.Results .A total of 40 individuals were dead from pneumonia in icu.The demographic and nursing information had no difference between death and living groups except age.After that, correlation analysis showed that there were correlations between living status, age, and marriage.Logistic regression showed that age (odds ratio (or) = 0.94, p &lt; 0.05) and no education (or = 0.21, p &lt; 0.05) may be harmful for pneumonia patients living status while high‐quality nursing (or = 2.72, p &lt; 0.05) may be helpful for pneumonia patients living status.Conclusion .High‐quality care plays an important role in protecting the survival of patients with pneumonia, and old age and uneducated may be the risk factors for the death of patients with pneumonia.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
Analysis of Relevant Factors Affecting the Pregnancy Rate of Frozen-Thawed Embryo Transfer Cycle

The aim of this study is to explore the relevant factors affecting the pregnancy rate of frozen-thawed embryo transfer cycle.Methods.The clinical data of 931 patients who underwent artificial cycle preparation for endometrial fet from april 2017 to november 2020 in the reproductive center of our hospital were retrospectively analyzed.Results.According to the pregnancy situation, the patients were divided into 450 cases of pregnancy and 481 cases of biochemical pregnancy.The univariate analysis of fet biochemical pregnancy showed that there were statistically significant differences between pregnancy and biochemical pregnancy in terms of years of infertility, age, endometrial thickness, p level, e2/p, and the number of high-quality embryos ( p &lt; 0.05 ).Multivariate analysis of pregnancy showed that age &lt;30 years was a protective factor for biochemical pregnancy and endometrial thickness &lt;8 mm and e2/p &lt; 0.3 were risk factors ( p &lt; 0.05 ).Conclusion.The regulation of endometrial thickness and e2/p serves as the key of treatment for patients undergoing fet using artificial cycle preparation for endometrial transfer, and it contributes to improve the pregnancy rate; also, the patient's age is an important indicator influencing the pregnancy rate.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Analysis of Rehabilitation Occupational Therapy Techniques Based on Instrumental Music Chinese Tonal Language Spectrogram Analysis

This paper provides an in-depth analysis of timbre-speech spectrograms in instrumental music, designs a model analysis of rehabilitation occupational therapy techniques based on the analysis of timbre-speech spectrograms in instrumental music, and tests the models for comparison.Starting from the mechanism of human articulation, this paper models the process of human expression as a time-varying linear system consisting of excitation, vocal tract, and radiation models.The system’s overall architecture is designed according to the characteristics of chinese speech and everyday speech rehabilitation theory (hsl theory).The dual judgment of temporal threshold and short-time average energy realized the phonetic length training.Tone and clear tone training were achieved by linear predictive coding technique (lpc) and autocorrelation function.Using the dtw technique, isolated word speech recognition was achieved by extracting mel-scale frequency cepstral coefficients (mfcc) parameters of speech signals.The system designs corresponding training scenes for each training module according to the extracted speech parameters, combines the multimedia speech spectrogram motion situation with the speech parameters, and finally presents the training content as a speech spectrogram, and evaluates the training results through human-machine interaction to stimulate the interest of rehabilitation therapy and realize the speech rehabilitation training of patients.After analyzing the pre- and post-test data, it was found that the p -values of all three groups were &lt;0.05, which was judged to be significantly different.Also, all subjects changed their behavioral data during the treatment.Therefore, it was concluded that the music therapy technique could improve the patients’ active gaze communication ability, verbal command ability, and active question-answering ability after summarizing the data, i.e., the hypothesis of this experiment is valid.Therefore, it is believed that the technique of timbre-speech spectrogram analysis in instrumental music can achieve the effect of rehabilitation therapy to a certain extent.

Journal: Occupational Therapy International (2022)
Publication types: Research Article;
Analysis of People Flow Image Detection System Based on Computer Vision Sensor

In order to meet the needs of accurately grasping the situation of people in the mall at all times, the author proposes an analysis method based on computer vision for people flow image detection system.This method combines the hog feature with the svm classifier, detects pedestrians through dual cameras, and builds an experimental research platform for dual-camera joint detection of pedestrians.The result shows that the error rate of human flow detected by the author’s method is the lowest of 0% and the highest of 6.25%.Conclusion.This method has a good effect on the statistics of the number of people in the shopping mall and can reduce the workload of the monitoring personnel in the shopping mall.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Analysis of News Dissemination Path and Impact of Big Data Technology in Public Health Emergencies

Throughout the past public health early warning work, there is still a lack of early warning.Therefore, starting from the reform of the public health early warning mechanism, this paper sorts out the design and development of our country’s public health early warning mechanism and its legal framework and further analyzes the unresolved problems that exist in early warning work.At this stage, our country’s public health departments have put forward targeted suggestions for improving the early warning mechanism for emergencies and stabilizing public order.In this context, the following data are obtained: (1) the timeliness under the big data model is 73.81%, the prudence is 84.25%, the sustainability is 96.28%; the timeliness under the data mining model is 61.98%, prudence is 77.58%, sustainability is 83.24%; and the timeliness of the intelligent computing model is 53.44%, prudence is 65.58%, and sustainability is 96.28%.(2) during public health emergencies, the path of news dissemination includes 54 people for radio and television communication, accounting for 13%; 98 people for digital communication, accounting for 24%; 73 people for digital tv communication, accounting for 19%; the number of public relations companies was 63 people, accounting for 16%; the number of people who reprinted and spread was 52 people, accounting for 12%; the number of people who searched and spread was 73 people, accounting for 19%; the number of people who spread mobile phone messages was 32 people, accounting for 9%.At this stage, according to the characteristics of public health emergencies, the problems existing in the early warning work are analyzed, and specific suggestions for improving the early warning mechanism of public health emergencies in our country are put forward to stabilize the “public order.” research in this area is ongoing.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
Analysis of Legal Issues of the Crime of Endangering Public Safety Based on Data Mining Algorithm

In order to improve the analysis effect of legal issues of the crime of endangering public safety, this paper analyzes the legal issues of the crime of endangering public safety based on the actual mining algorithm and uses numerical methods to qualitatively study the evolution behavior across phase intervals.Moreover, this paper improves the algorithm based on the actual needs of legal mining.When solving the eigenvalues of the given hamiltonian’s duration equation, the zero-energy solution can be found in the case of open boundaries.In addition, this paper applies the improved algorithm proposed in this paper to the mining of criminal law legal issues of crimes against public safety, assigns a dynamic ip to each process, and builds a model based on this.Through the above simulation research, it can be seen that the legal problem analysis model of the crime of endangering public safety based on the data mining algorithm proposed in this paper has a good legal data mining effect.

Journal: Security and Communication Networks (2022)
Publication types: Research Article;
Analysis of Factors Influencing Telemedicine-Based Psychiatric Extended Care and Care of Psychiatric Patients

The aim of this paper is to understand the current situation of the care burden of patients with mental illness in remission and the factors affecting it in order to provide a scientific basis for targeted interventions.This paper reviews the concept of telemedicine, the application of telemedicine in home hospice care, and the remaining problems and improvement strategies of telemedicine in home hospice care, with the aim of providing a reference for the application of telemedicine in home hospice care in china.The zarit burden scale, family care scale, and social functioning scale were used to conduct one-to-one interviews with 201 schizophrenic patients in remission and their primary caregivers in hubei province.Among them, 66, 72, and 25 cases (32.8%, 35.9%, and 12.4%) had mild, moderate, and severe burdens, respectively.Caregivers’ family care and patients’ social functioning were generally poor.The results of multiple linear regression analysis showed that caregiver age, caregiver education, caregiver family care, patient medical costs, and patient social functioning were factors influencing the burden of care for patients with schizophrenia in remission ( p &lt; 0.05 ).The government, mental health centers, and families should understand the level of caregiving burden of patients with schizophrenia in remission and the factors influencing it and provide targeted measures to reduce the caregiving burden.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Review Article;
Algorithm for Evaluating the Intervention Effect of Physical Exercise on Stress Groups

Mental health is always a concern, especially for students, as they are more prone to stress based on educational burden and competition.Among student groups at different levels, college students are of serious concern as they are an essential pillar of social and economic development, and their mental health has been the society’s focus in recent years.With the increasing population leading to the increasing number of college students in our country, the competition for professional learning is also becoming fiercer, seriously affecting students’ mental health.Little attention has been paid to adverse effects on mental health or effective mitigation strategies to improve mental health in recent years.However, it is still of grave concern as the stress among students leads to depression, several diseases, and ultimately death.The purpose of this study is to evaluate the effect of physical exercise interventions on stress groups irrespective of their (educational) levels.Physical activity can effectively release stress and is an excellent way to regulate emotions.For this reason, it is a task that the current universities must complete to strengthen physical exercise in students’ mental health education.The paper highlights the impact of various social pressures on students’ mental health, understands its underlying mechanisms, and explores feasible mitigation strategies for improving and schooling students’ mental health.This paper proposes an integrated evaluation-based algorithm to explore the model of the intervention effect of physical exercise on college students.It takes college students as the representative of stress groups.The results show that daily physical activities can effectively relieve the stress of college students.

Journal: Mobile Information Systems (2022)
Publication types: Research Article;
Active Vibration Control of Robot Gear System Based on Adaptive Control Algorithm

With the aim of solving the errors of gear transmission system in the actual manufacturing process, processing and installation, and solving the the vibration and noise of the gear system caused by the deformation brought about by external excitation such as motor load and actuator, which seriously threaten the safety and stability of unit equipment, a novel active vibration suppression structure of multistage gear system with built-in piezoelectric actuator is designed to generate active control force, and it can be used on the shaft.An active controller is designed and established using fx lms adaptive algorithm.The results of this method show that by measuring the vibration signal system, the base frequency of the high-speed gear pair is 310 hz, and the basic frequency of the low-speed gear pair is 192 hz.I had the adaptation snare go for almost 0.5 seconds, with a difference of 0.52%.Adaptive trap ii reached in 1 second, with a difference of 0.96%.In the active vibration suppression test, the basic frequency of the high-speed gear pair is 804 hz, and the basic frequency of the low-speed gear connector is 500 hz.Using the fx lms adaptive algorithm, it is able to effectively suppress the frequency vibrations of the high-speed dual-gear and low-speed dual-gear coupling systems of multispeed gears.After being controlled by fx lms algorithm at the second frequency of the high-speed gear, the vibration reduction is about 10 d b at the third frequency of the low-speed gear.The vibration reduction is also approximately 7 d b.This has proved that a new experiment of industrial safety can be used to accelerate the movement of gear vibrations using the fx lms adaptation algorithm.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Abnormal Access Behavior Detection of Ideological and Political MOOCs in Colleges and Universities

In many colleges and universities, moocs have been applied in many courses, including ideological and political course, which is very important for college students’ ideological and moral education.Ideological and political moocs break the limitations of time and space, and students can conveniently and quickly learn ideological and political courses through the network.However, due to the openness of moocs, there may be some abnormal access behaviors, affecting the normal process of moocs.Therefore, in this paper, we propose a detection method of abnormal access behavior of ideological and political moocs in colleges and universities.Based on deep learning, the network behavior detection model is established to distinguish whether the network behavior is normal, so as to detect the abnormal access network behavior.In order to prove the effectiveness and efficiency of the proposed algorithm, the algorithm is compared with the other two network abnormal behavior detection methods, and the results prove that the proposed method can effectively detect the abnormal access behavior in ideological and political moocs.

Journal: Mobile Information Systems (2021)
Publication types: Research Article;
A Study of the Morphological Design of Architecture from a Geometric Logic Perspective

In order to further solve the problem of the application and auxiliary function of geometric prototypes in the process of complex architectural structural form design, a method of architectural form design research based on the perspective of geometric logic is proposed.Taking buildings as an example, combined with the requirements of architectural form design, the optimal design of architectural structure form is studied with the help of genetic algorithm, focusing on the verification of building plane and space optimization design under displacement constraints.The results show that after 3257 iterations, the adaptive degree does not change, the corresponding maximum uniqueness is 0.1196 mm, and the weight of the truss structure is 0.3585 t, indicating that the structural design based on geometric logic and genetic algorithm can effectively satisfy the optimal form design of the building form under the constraints.The design method of geometric logic incorporates the whole process of building use, building site, building system, and production and construction into the control scope of the design.In the design process, according to the real environment, through the translation and logic construction of computer language simulation, the architectural concept scheme is generated, and finally the building product is promoted.Complete with high precision.

Journal: Security and Communication Networks (2022)
Publication types: Research Article;
A Smart Solution for Cancer Patient Monitoring Based on Internet of Medical Things Using Machine Learning Approach

The internet of medical things (io mt) is a huge, exciting new phenomenon that is changing the world of technology and innovating various industries, including healthcare.It has specific applications and changes in the medical world based on what can be done for clinical workflow models.The first and most fundamental thing that io mt does in healthcare is to bring a flood of new data into medical processes.In this study, an efficient internet of medical things based cancer detection model was proposed.In fact, for many, new fitness monitors and watches are one of the best examples on the internet; these mobile, portable, wearable devices can record real-time heart rate, blood pressure, and eye movement of cancer patients.These details are sent to doctors or anywhere else.The proposed method leads to a kind of big data renaissance in the health service.The proposed model gets more accuracy while comparing with the existing models.This will help the doctors to analyze the patients’ health report and provides better treatment.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
A Public Health-Oriented New Energy Industry Competitiveness Evaluation

This paper develops a regional new energy industry (nei) competitiveness evaluation index system based on the theoretical framework of the “diamond model” and the unique characteristics of the new energy industry and made an empirical analysis of jilin province with analytic hierarchy process (ahp) and fuzzy comprehensive evaluation method.The analysis results show that the new energy industry in jilin province has a good foundation, and the government’s role, talent support, technological innovation, and market factors are acceptable.However, due to location factors and resource endowments, regional gdp and per capita consumption expenditure are low.The lack of intrinsic motivation of industrial competitive advantage has resulted in the poor overall competitiveness of the new energy industry in jilin province.Then, it is advised to take targeted measures to work closely with national nei development strategy, optimize the industrial technology innovation ability and the talent support, actively guide social capital flows and new energy consumption, optimize regional energy consumption structure and industrial structure by creating a complete nei chain, and revitalize the whole economy.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
A Novel Artificial Intelligence System in Formulation Dissolution Prediction

Artificial neural network (ann) techniques are widely used to screen the data and predict the experimental result in pharmaceutical studies.In this study, a novel dissolution result prediction and screen system with a backpropagation network and regression methods was modeled.For this purpose, 21 groups of dissolution data were used to train and verify the ann model.Based on the design of input data, the related data were still available to train the ann model when the formulation composition was changed.Two regression methods, the effective data regression method (edrm) and the reference line regression method (rlrm), make this system predict dissolution results with a high accuracy rate but use less database than the orthogonal experiment.Based on the decision tree, a data screen function is also realized in this system.This ann model provides a novel drug prediction system with a decrease in time and cost and also easily facilitates the design of new formulation.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;