syedzayyan/paper_mill_benchmark huggingface dataset:
The Application of Public Art Design Based on Digital Technology in Urban Landscape Environmental Monitoring

Public art (pa) is a powerful tool for enhancing the environment in public spaces since it not only relieves the oppression caused by urban architecture but also enhances and beautifies urban public spaces.As dt (digital technology) develops so quickly nowadays, it offers pa significant technological assistance to achieve new functions, and changes in modern people’s aesthetic preferences and psychological makeup also present new demands for pa.This essay explores the use of pa design in the creation of urban landscapes from the viewpoint of dt.In order to do this, this paper suggests a method for measuring the environmental impact of urban landscapes that combines landscape measurement and semantic assessment.Full‐connection algorithm and greedy algorithm are introduced to identify urban functional types with high‐dimensional characteristics for the boundary tree classification model of high‐dimensional feature classification.The findings indicate that the public service area’s producer and user accuracy are, respectively, 0.8783 and 0.7833.It offers a fresh concept for the identification of urban functional zones while solving the issues of low identification efficiency and poor accuracy.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
The Application of Biomechanics Combined with Human Body Structure in Volleyball Technical Analysis

With the development of volleyball, the development of traditional school volleyball has been paid increasing attention.This has also aroused the concern of schools, coaches, and athletes and has become the focus of volleyball development and reserve talent training.The purpose of this paper is to use the knowledge of biomechanics to study serving technology and attacking technology in volleyball.In the aspect of biomechanics, this paper proposes the finite element modeling theory of the human body.The upper limbs of volleyball players are modeled and analyzed, and four powerful teams are selected for video analysis of volleyball offensive skills.The overall difference between athletes in different groups is very obvious.The phase with the longest time and the greatest difference was the p3 phase, which took 0.802 ± 0.085 seconds.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
The AKT/mTOR Signaling Pathway Was Mediated through the LINC00514/miR-28-5p/TRIM44 Axis

Increasing evidence has demonstrated the essential role of lnc rnas in tumorigenesis.Linc00514, a novel lnc rna, was reported to be a promoter of malignant behaviors in cancer, but in pituitary adenoma (pa), its biological functions remain unclear.Methods.Herein, we measured linc00514 expression by rt-q pcr analysis which indicated a significant elevation of linc00514 expression in human pa tissues.Moreover, the effect of linc00514 silencing on pa cell proliferation and invasion was, respectively, examined by cck-8 and transwell assays.Results.The results showed that linc00514 deletion markedly inhibited pa cell proliferation and invasion.Besides, investigation on the molecular mechanisms showed that linc00514 might function as an endogenous rna (ce rna) to sponge mi r-28-5p and trim44 was mediated by linc00514-derived mi r-28-5p in pa cells.Furthermore, the akt/m tor signaling pathway was mediated through the linc00514/mi r-28-5p/trim44 axis.Conclusion.To sum up, we suggested linc00514 as a novel therapeutic target for pa treatment.

Journal: Disease Markers (2022)
Publication types: Research Article;
Teaching Practice of Engineering Management Course for Engineering Education Certification under Background of Artificial Intelligence

With the advancement of china’s industrial construction, the field of engineering management has also attracted more attention.However, china’s engineering management major is currently in a growing stage due to the issue of the opening years, and the teaching and practice setting of each course is also in an immature stage, which makes china’s engineering management majors present more and more problems.The truancy rate has been increasing year by year, the students’ dominant position in the class has become objectified, and their trust in teachers has decreased.Students’ learning shows the characteristics of individualization and diversity.Higher requirements are put forward for teachers’ teaching quality, and schools lack an effective supervision mechanism.In order to solve these problems better, it is imperative to reform and innovate the course teaching of engineering management majors.The core of engineering education accreditation is to confirm that engineering graduates meet established quality standards recognized by the industry.It is a unique method to test whether the course teaching of engineering management majors is qualified and attracts many scholars to discuss it.Engineering education accreditation has attracted many scholars to discuss it because it is a unique means to test the qualifications of engineering management students’ course teaching.This study was based on an in-depth exploration of the teaching practice of engineering management courses and combines artificial intelligence with an engineering education certification.Through the research and analysis of colleges and universities, the research finally showed that the engineering management professional course teaching of engineering education certification under the background of artificial intelligence can promote the attendance of students in school by about 20%.The achievement of course teaching objectives has increased by about 13% and the comprehensive ability level of graduates has increased by about 8%.It improved the overall level of students and the teaching quality and efficiency of engineering management courses and also promoted the development of college education so that today’s engineering management graduates can better meet the needs of today’s society.

Journal: International Transactions on Electrical Energy Systems (2022)
Publication types: Research Article;
Tanshinone IIA May Inhibit Gastric Cancer via Affecting the Intestinal Microbiome

Gastric cancer (gc) belongs to a type of the most deadly cancer in the world, and the incidence rate of gc will increase in the coming decades.Tanshinone iia (tan iia) is an active component that separated from danshen.Tan iia may also exert its therapeutic effects in disease with intestinal dysbacteriosis, at least partially, via regulating the intestinal microbiome.Nevertheless, it is obscure whether tanshinone iia affects the intestinal dysbacteriosis and plays antitumor roles.This research was designed to explore tanshinone iia potential on the intestinal dysbacteriosis of gc xenograft mice.Methods.Mouse xenograft gc tumor models were built and treated by tan iia.The tumor growth as well as microbiome in the intestinal were compared.Western blot was used to detect the phosphorylation of the nf-κb and expressions of the downstream cytokines il-6 and il-1β.Results.Microbiome in the intestinal was changed in xenograft tumor mice in comparison with the control mice.What is more, tan iia could influence the microbiome in the intestinal of the tumor mice.Tan iia hinders the growth of xenograft tumor and change the microbiome in the intestinal, but intestinal dysbacteriosis condition partially blocked tan iia-stimulated antitumor effects.In addition, intestinal dysbacteriosis abrogated tan iia-stimulated decrease in the nf-κb signaling in xenograft tumor mice.Conclusions.Tanshinone iia may inhibit gc tumor growth via affecting the intestinal microbiome through regulating the nf-κb signaling.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
System Construction of Athlete Health Information Protection Based on Machine Learning Algorithm

The exercise volume and exercise level can be quantitatively assessed by measuring and collecting athletes’ health and exercise data.The protection of athletes’ health information has lately become an important research topic due to a rise in sports activities.However, due to the nature of the data and the limits of protection models, protecting athlete health data is a complex undertaking.Machine learning and blockchain have caused worldwide technological innovation, and it is bound to bring deep modifications to the sports industry.The main purpose of blockchain is security, decentralization, traceability, and credibility of the athlete’s health data protection and gathering system.To progress and increase the sports industry and methodically assess the physical fitness of sportspersons’ health information, this study concentrates on the machine learning and blockchain‐based athlete health information protection system (mlb‐ahips) proposed in the sports industry.The ml technique is utilized to clean and handle the information to comprehend the recognition and secure managing of the sportsperson’s fitness information.The system uses attribute‐based access control, which permits dynamic and fine‐grained access to athlete health data, and then stores the health data in the blockchain, which can be secured and tamper‐proof by expressing the respective smart contracts.The simulation outcomes illustrate that the suggested mlb‐ahips attains a high accuracy ratio of 97.8%, security ratio of 98.3%, an efficiency ratio of 97.1%, scalability ratio of 98.9%, and data access rate of 97.2% compared to other existing approach.

Journal: BioMed Research International (2022)
Publication types: Research Article;
Swin-YOLOv5: Research and Application of Fire and Smoke Detection Algorithm Based on YOLOv5

Accurate monitoring of fire and smoke plays an irreplaceable role in preventing fires and safeguarding the safety of citizens' lives and property.The network structure of yolov5 is simple, but using convolution to extract features will lead to some problems such as limited receptive field, poor feature extraction ability, and insufficient feature integration.In view of the current defects of yolov5 target detection algorithm, a new algorithm model named swin-yolov5 was proposed in this work.Swin transformation mechanism was introduced into yolov5 network, which enhanced the receptive field and feature extraction ability of the model without changing the depth of the model.In order to enrich the feature map splicing method of weighted concat and enhance the feature fusion ability of model pairs, the feature splicing method of three output heads of feature fusion layer network was improved.The feature fusion module was further modified, and the weighted feature splicing method was introduced to improve the network feature fusion ability.Experiments showed that, compared with the original algorithm, the rising rate of m ap@0.5 (mean average precision, io u=0.5) of the improved algorithm was 0.7%, the m ap@0.5:0.95 was increased by 4.5%, and the target detection speed with high accuracy was accelerated by 1.8 fps (frames per second) under the same experimental dataset.The improved algorithm could more accurately detect the targets that were not detected or detected inaccurately by the original algorithm, which embodied the adaptability of real scene detection and had practical significance.This work provided an opportunity for the application of fire-smoke detection in forest and indoor scenes and also developed a feasible idea for feature extraction and fusion of yolov5.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Surgery and Postoperative Care of Patients Undergoing Percutaneous Nephrolithotomy under the Guidance of B-Ultrasound Based on Smart Internet of Things

At present, percutaneous nephrolithotomy has become an option for hospitals increasingly to treat calculus.However, due to the certain risk of percutaneous nephrolithotomy, it may lead to postoperative complications.Analyzing the preoperative factors of septic shock after percutaneous nephrolithotomy can provide guidance for reducing the incidence of septic shock after pcnl.This article establishes a logistic regression model based on preoperative factors, uses statistical methods, and uses the professional statistical software spss to create a database and analyze the data.The method of classification data analysis was used to determine various influencing factors including patient factors, stone factor, and preoperative factors and combined b‐ultrasound guidance and percutaneous nephrolithotomy to reduce the risk of surgery.The experimental results found that the percutaneous nephroscope laser lithotripsy guided by the smart internet of things can effectively perform lithotripsy; in this paper, the preoperative data of different complications are obtained, and the risk of surgery is closely related to the operation time.The operation time exceeds 90 minutes and causes the risk of severe bleeding after pcnl.It is twice the operation time of less than 90 minutes and 5 times the operation time of less than 60 minutes.

Journal: BioMed Research International (2022)
Publication types: Research Article;
Study on the Role of College Sports Games and Taekwondo Teaching Based on Information Health

Sports games and taekwondo have hitherto been core facets in colleges and university physical education curricula.This owes to the significant benefits derived from the duo, especially with the increase in sedentary lifestyles, resulting in dreaded repercussions when strenuous exercise is not brought into play.Taekwondo is a type of martial art known to have originated from korea but has now gained popularity internationally.Some of the known benefits of taekwondo are reducing stress and improving cardiovascular system (cvs) physiology.On the other hand, sports games also help immensely in the physiological and mental health of college and university students.For instance, outdoor games are essential in the pulmonary system as indoor games are for mental health.The purpose of this study is to investigate the role of sports games and taekwondo teaching in colleges and universities.The prospective study was conducted on a sample of 195 students.Both qualitative and quantitative data were collected by random means.The data collected was then analyzed to find the type of distribution.The results indicated a normal distribution with a resultant bell curve.The central tendency and dispersion were calculated.A high level of decision-making, confidence, and fitness was noted in students practicing these activities in their colleges and universities vis-à-vis those who do not.Sports and taekwondo increase the level of training, which enhances the skeletal system to take up and utilize lipids.This process reduces the level of plasma lipids, thus preventing chronic health conditions like obesity and diabetes.In conclusion, sports and taekwondo are essential in maintaining a healthy standard and should always be incorporated into the college and university curriculum.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Study on the Relationship and Correlation between Turnover Tendency of Emergency Nursing Staff and Social and Work Factors

The relationship and correlation between emergency nursing staff turnover intention and social and work factors are explored.A total of 110 nurses in the emergency department of our hospital from february 2021 to october 2021 are selected as the research subjects.A questionnaire survey is conducted among all the nurses.By comparing with the general information of the emergency nurses, the scores of turnover tendency, social support, workplace violence, and job burnout scales of the emergency nurses are calculated.Multifactor logistic regression is used to analyze the influencing factors of turnover tendency of emergency nursing staff, and spearman correlation coefficient is used to analyze the correlation between turnover tendency of emergency nursing staff and its influencing factors.The results of the survey show that age, education level, social support, workplace violence, and job burnout can all affect the turnover tendency of emergency nursing staff.Managers should pay more attention and take reasonable measures to avoid staff turnover.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Research Article;
Study on the Prescription of Acupuncture in the Treatment of Cervical Spondylotic Radiculopathy Based on Computer Vision Image Analysis

Cervical spondylosis (cs) is a common clinical orthopedic disease.Among cervical spondyloses, cervical spondylotic radiculopathy (csr) is the most common.Its clinical manifestations are localized neck pain and radial numbness of the shoulder, upper arm, forearm, and even fingers.As far as the status quo is concerned, with the change of lifestyle and working style, the popularity of computer and other entertainment devices, people’s neck flexion time has increased significantly compared with the past, the incidence rate of csr has also increased year by year, and the group of onset has become younger and younger.According to the symptoms, csr in chinese medicine belongs to the category of “arthralgia syndrome” and “bone arthralgia.” western medicine has many side effects in the treatment of csr, while surgical treatment is painful and expensive.Most patients are not willing to accept it.Traditional chinese medicine acupuncture can relieve the pain, numbness, and other discomforts of csr, and the acupuncture treatment has less trauma and is a simple operation.At present, there are few acupoint prescriptions for acupuncture in the treatment of csr.Therefore, the analysis of acupuncture point selection based on computer vision image has important practical significance for the scientific and progressive exploration of csr acupuncture treatment.In this paper, the etiology, pathology, and clinical manifestations of radical treatment of cs are deeply studied by using literature data and mathematical statistics.The prescription research experiment of acupuncture in the treatment of csr based on computer was established, and the treatment method was studied by observing vas, npq, and other indexes.The total effective rate was 95.13% in the experimental group and 85.72% in the control group.It is hoped that the research direction of this paper can provide reference for the diversified development of acupuncture and moxibustion and for the treatment ideas and methods of cervical spondylotic radiculopathy.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Research Article;
Study on the Oxygen Consumption Rule of Hydroponic Cotton in Different Periods

In this paper, the decay law of dissolved oxygen in the culture solution of cotton in the seedling stage, bud stage, and blossoming and boll-forming stage was studied via hydroponic cotton experiments, and then, the oxygen consumption and its rule of cotton were explored.The results showed that with the increase of the cultivation time, the dissolved oxygen concentration of the cotton at seedling stage, bud stage, and blossoming and boll-forming stage showed an exponential function decrease.The dissolved oxygen concentration of the culture medium decreased from about 7.5 mg·l-1 to a relatively stable dissolved oxygen concentration, which was 4.92 mg·l-1, 1.64 mg·l-1, and 1.82 mg·l-1, respectively.When ck is about 7.1 mg·l-1, a relative equilibrium point between low oxygen absorption rate of cotton and oxygen supply is reached.The sudden drop points of the instant oxygen consumption rate of cotton seedling stage and bud stage are at about 5.15 mg·l-1 and 5.89 mg·l-1, respectively, while the sudden drop point was not obvious at the blossoming and boll-forming stage.The budding cotton can absorb oxygen when the dissolved oxygen in the culture solution is at a higher level.The blossoming and boll-forming stage cotton is more resistant to hypoxia stress.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Study on the Mechanism of Fentanyl in Pain Treatment Based on Network Pharmacology

This is a study that is based on network pharmacology, focusing on the pharmacological mechanism of fentanyl in easing pain.Through ppi, go, and kegg network pharmacology, the potential pharmacological mechanism of fentanyl was studied.This study compared and analyzed the overlap between the target genes of the active ingredient of fentanyl and the pain treatment target genes.After constructing ppi based on fentanyl, the go and kedd pathways were analyzed for enrichment.On the basis of overlapping genes, we constructed the ppi, go, and kegg, and analysis showed that the mechanism was likely to be related to some biological process.This study preliminarily identified the important proteins and metabolic pathways related to fentanyl in pain treatment and expected to provide new evidence and research ideas for the use of fentanyl, enhancing effects and alleviating adverse drug reactions.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Study on the Effect of B-Ultrasound NT Scan in Early Pregnancy Combined with Serum Screening in Early and Middle Pregnancy for Down Syndrome

Down syndrome (ds), also known as trisomy 21 syndrome, is a common and most harmful congenital chromosomal genetic disease.This study is aimed at exploring the effect of b-ultrasound nt scan in early pregnancy combined with serum screening in early and middle pregnancy for down syndrome.Methods.A total of 168 pregnant women who were diagnosed and treated in the obstetric clinic of our hospital from january 2019 to december 2021 were selected as the research objects.B-ultrasound nt scanning and serum detection in the early and middle trimester of pregnancy were performed, respectively.The accuracy of single detection and combined detection was analyzed and compared with the results of amniotic fluid cell chromosome examination as the gold standard.Results.There were 4 cases of ds and 165 cases of non-ds.The serum papp-a, afp, and ue levels in ds group were lower than those in non-ds group.Β-hcg level and nt value were higher than those in non-ds group (all p &lt; 0.05 ).Among 168 pregnant women, 5 cases were diagnosed as abnormal by ultrasonography, and 1 case was diagnosed as normal.By serological test, 20 cases with high risk of ds were diagnosed in 4 cases, and 148 cases with low risk of ds were diagnosed in 2 cases.Among 168 cases examined by serology combined with ultrasound, 10 cases with high risk of ds were found, and 4 cases were diagnosed; 158 cases had low risk of ds, and 0 cases were diagnosed.The negative predictive value, specificity, and coincidence rate of ds screening by the three methods were higher, and the positive predictive value and coincidence rate of combined screening were the highest ( p &lt; 0.05 ).The screening risk of down syndrome was correlated with pregnancy outcome.The abnormal pregnancy rate in high-risk group was significantly higher than that in low-risk group, and the difference was statistically significant ( p &lt; 0.05 ).Roc curve showed that the sensitivity, specificity, and auc of the combined detection were greater than those of serology and nt.Conclusion.The application of b-ultrasound nt scan in early pregnancy combined with early and mid-term serum comprehensive screening in the screening of down’s infants is helpful to improve the diagnostic coincidence rate and reduce the occurrence of misdiagnosis.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;