syedzayyan/paper_mill_benchmark huggingface dataset:
Sports-Induced Fatigue Recovery of Competitive Aerobics Athletes Based on Health Monitoring

Exercise-induced fatigue refers to the symptom that the body cannot continue to maintain the original training volume after a certain period of continuous training.Competitive aerobics athletes have a large amount of daily training exercise, and their bodies are prone to exercise fatigue.The health monitoring technology can monitor the physical state in real time and diagnose and treat the diseases caused by the body in time.This article aims at applying the health monitoring technology to the research of sports fatigue recovery of competitive aerobics athletes.This article first briefly introduces the theoretical review of exercise-induced fatigue, and it includes the definition, classification, and determination methods of exercise-induced fatigue, and then uses the health monitoring system to describe it, and finally conducts an experiment in the diagnosis and rehabilitation of exercise-induced fatigue.The health monitoring technology was compared with traditional medical methods, and the four aspects of speed, accuracy, recovery rate, and athlete’s treatment satisfaction were tested.The experimental results show that the diagnostic accuracy based on health monitoring technology is the same as that of traditional manual medical diagnosis, reaching about 85%, which verifies its effectiveness.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Sports Training Teaching Device Based on Big Data and Cloud Computing

With the advent of the era of big data (bd), people have higher requirements for information, knowledge, and technology.Taking the internet as the carrier, the use of cloud computing technology for distance education has become a trend.Our country’s physical training teaching has also begun to change from traditional mode to modern mode.In order to improve the overall quality of our country’s national sports, this paper studies the teaching device of sports training based on bd and cloud computing.This article mainly uses the questionnaire survey method, the experimental analysis method, the data analysis method, and the data statistics method to have an in-depth understanding of the research theme and uses swimming as an example to design the sports training device.52% of people think that water in the ears and itching during swimming are more serious problems.After further understanding, an experimental design was carried out.Experimental studies have shown that the combination of bd and cloud computing can effectively solve the problems existing in the traditional teaching model, so as to achieve the goal of efficient and rapid development.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;
SPOP Inhibition of Endometrial Carcinoma and Its Clinicopathological Relationship

Endometrial carcinoma (ec) ranks first in the incidence of female genital malignancies in developed countries.Spop (speckle-type poz protein) has changed in ec with a statistically high frequency.This research may play a crucial role in the initiation and progression of ec, ultimately leading to fresh therapeutic targets.Explore the expression of spop in ec; observe its effect on the proliferation, invasion, and migration of ec cells after upregulating the expression of spop through rna activation.Methods.The expression levels of spop protein in 150 ec tissues and 45 normal endometrial tissues were detected by immunohistochemistry and western blotting.Analyze the relationship between spop expression and clinicopathological characteristics.The differences of the proliferation, migration, and invasion abilities between before and after transfection were analyzed using cck-8 and transwell assays.Results.The results of immunohistochemistry and western blotting showed the expression level of spop in ec tissue significantly reduced or even missed compared with normal endometrial tissue.The results of cck-8 showed that the growth of ec significantly slowed down after the upregulating of spop expression.The results of the transwell assay showed the migration and invasion abilities of ec cells were weakened after the level of spop was upregulated.Conclusions.The expression level of spop in ec tissues is lower and related to the clinicopathological features compared with normal endometrial tissues.After upregulating the spop expression by rna activation in ec cell lines, the abilities of proliferation, migration, and invasion of cells were significantly inhibited.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Spine Medical Image Segmentation Based on Deep Learning

The aim was to further explore the clinical value of deep learning algorithm in the field of spinal medical image segmentation, and this study designed an improved u-shaped network (bn-u-net) algorithm and applied it to the spinal mri medical image segmentation of 22 research objects.The application value of this algorithm in mri image processing was comprehensively evaluated by accuracy (acc), sensitivity (sen), specificity (spe), and area under curve (auc).The results show that the image processing time of fully convolutional network (fcn) algorithm and u-net algorithm is greater than 6 min, while the processing time of bn-u-net algorithm is only 5–10 s, and the processing time is significantly shortened ( p &lt; 0.05 ).The acc, sen, and spe results of bn-u-net segmentation algorithm were 94.54 ± 3.56%, 88.76 ± 2.67%, and 86.27 ± 6.23%, respectively, which were significantly improved compared with fcn algorithm and u-net algorithm ( p &lt; 0.05 ).In summary, the improved u-net network algorithm used in this study significantly improves the quality of spinal mri images by automatic segmentation of mri images, which is worthy of further promotion in the field of spinal medical image segmentation.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;
Soluble Dietary Fiber Significance against Obesity in a Western China Population

S.This study aimed to investigate whether soluble dietary fibers (sdfs) could protect against obesity by influencing weight, body mass index (bmi), body fat rate (bfr), visceral fat rate (vfr), or waistline.Methods.We examined obese adult patients from western china at 0 and 3 weeks after an sdf diet.Index assessments of obesity including height, weight, bmi, bfr, vfr, and waistline were carried out.We used the mann–whitney u test to examine the difference between the usual diet and the sdf group.Results.Weight, bmi, bfr, and waistline were reduced in both the control group and the sdf group ( p &lt; 0.001 ).The reduction of the four indices in the sdf group was significantly higher than in the control group ( p &lt; 0.001 ).Higher intake of various sdfs has significantly reduced the weight, bmi, bfr, and waistline than the usual diet group in obesity.Conclusion.Our results indicated that increased intake of sdfs in the diet of obese patients would protect against obesity in the first 3 weeks.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;
Software Application toward Accessible Hearing Care Assessment: Gap in Noise Test

Currently, several methods are being applied to assess auditory temporal resolution in a controlled clinical environment via the measurements of gap detection thresholds (gdts).However, these methods face two issues: the relatively long time required to perform the gap detection test in such settings and the potential of inaccessibility to such facilities.This article proposes a fast, affordable, and reliable application-based method for the determination of gdt either inside or outside the soundproof booth.The proposed test and the acoustic stimuli were both developed using the matlab® programming platform.Gdt is determined when the subject is able to distinguish the shortest silent gap inserted randomly in one of two segments of white noise.Gdts were obtained from 42 normal-hearing subjects inside and outside the soundproof booth.The results of this study indicated that average gdts measured inside the booth (5.12 ± 1.02 ms) and outside (4.78 ± 1.16 ms) were not significantly different.The measured gdts were also comparable to that reported in the literature.In addition, the gdt screening time of the proposed method was approximately 5 minutes, a screening time that is much less than that reported by the literature.Data show that the proposed application was fast and reliable to screen gdt compared to the standard method currently used in clinical settings.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Short-Term Postoperative Pain and Function of Unilateral Biportal Endoscopic Discectomy versus Percutaneous Endoscopic Lumbar Discectomy for Single-Segment Lumbar Disc Herniation: A Systematic Review and Meta-analysis

Spinal surgery is gradually moving toward minimally invasive surgery, but there is still some lack of knowledge about the unilateral biportal endoscopic (ube) technique that has been hotly debated in recent years.We performed this systematic review and meta-analysis to clarify whether ube is superior to percutaneous endoscopic lumbar discectomy (peld) for relieving short-term postoperative pain and promoting functional recovery.Methods.Computer searches of pub med, embase, cochrane library, web of science, cnki, and wanfang databases were performed to search for studies on ube versus peld for single-segment lumbar disc herniation (ss ldh) from the time of database construction to mar.2022, and two investigators independently performed literature screening and data extraction, and evaluation of the quality of the included studies was observed as operation time, complications, and visual analogue scale (vas) at each preoperative and postoperative stage as well as oswestry disability index (odi), and meta-analysis was performed by applying the review manager 5.4 software.Results.Meta-analysis showed that peld had shorter operation time ( md = 35.36 , 95% ci (4.67, 66.04), p = 0.02 ) and had lower vas of back pain at 3 days postoperatively ( md = 0.62 , 95% ci (0.04, 1.19), p = 0.04 ) compared to the ube.However, there was no statistical significance between the two groups in terms of complications ( md = 2.53 , 95% ci (0.40, 16.11), p = 0.33 ), vas of back pain at 30 days postoperatively ( md = 0.05 , 95% ci (-0.19, 0.28), p = 0.70 ), vas of leg pain at 3 days postoperatively ( md = 0.21 , 95% ci (-0.20, 0.61), p = 0.33 ), vas of leg pain at 30 days postoperatively ( md = 0.09 , 95% ci (-0.29, 0.46), p = 0.65 ), and odi at 30 days postoperatively ( md = − 0.81 , 95% ci (-3.03, 1.41), p = 0.47 ).Conclusions.Current evidence suggests that both ube and peld are effective in relieving short-term postoperative pain and promoting functional recovery, and there is no difference in complications between them; ube requires longer operation time, and peld may be superior in relieving immediate postoperative pain.This trial is registered with prospero id: crd42021287810.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Meta-Analysis;
Serum Levels of Mitochondrial Fission- and Fusion-Related Genes of Coal Workers’ Pneumoconiosis and Risk Factor Analysis Based on a Generalized Linear Model

We aimed to explore the risk factors for coal workers’ pneumoconiosis and to further explore the significance of mitochondrial fission and fusion factors in cwp and verify the feasibility of mitochondrial fission and fusion factors as diagnostic and therapeutic targets.Methods.The data of 168 cases were collected, and they were divided into a healthy control group (40 cases), dust exposure control group (61 cases), and cwp group (67 cases) and entered into spss 24.0.The statistical data were analyzed by the chi-square test or fisher’s exact probability method.The variables with statistically significant differences of the univariate analysis results were included in the generalized linear model.Test level was α = 0.05 .Blood samples were collected to detect the ros content, mda content, and sod activity.The m rna expression levels of opa1, drp1, mfn2, fis1, col i, col iii, and α-sma were determined by q-pcr.The protein expression levels of opa1, drp1, mfn2, fis1, col i, col iii, and α-sma were detected by western blot.Results.Generalized linear regression analysis showed that lower school education, no respiratory protective measures, the working age beyond 15 years, and the type of work like coal mine drillers were the risk factors for cwp.With the aggravation of cwp, the degree of fibrosis and inflammation increased oxidative damage, increased mitochondrion division, and decreased fusion, which were more sensitive in the second and third stages of cwp.Conclusion.The results in this found that mitochondria are injured by fission and fusion in the cwp patients.Detection of the mitochondria fission and fusion factors provides the application value to evaluate the injury degree and progress of cwp and the clues for finding the real and effective screening and diagnosis biomarkers.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Role of Human-Computer Interaction Healthcare System in the Teaching of Physiology and Medicine

With the increasingly severe aging of the population, the difficult and expensive medical treatment problems are becoming more and more prominent; the salary level of domestic doctors is not high, but the cost of training doctors is high, coupled with doctors’ work pressure and mental pressure; the number of candidates for medical school is decreasing year by year; medical talent is rare; and the allocation of medical staff is scarce.Health care is the basic guarantee for people’s good life, and the shortage of medical staff will have many impacts on health care.Human-computer interaction (hci) is the study of people, computers, and their interaction.Hci refers to the communication between the user and the computer system, which is the two-way information exchange of various symbols and actions between the human and the computer.The purpose of this paper is to study a healthcare system with human-computer interaction through the client, apply the system to the teaching of physiology and medicine, and analyze its effects and functions in combination with various evaluation indicators.This paper selects teaching content, ease of use of human-computer interaction design, technical services, and user subjective satisfaction as evaluation indicators, and constructs an evaluation model for this.And it builds the physiology and medicine teaching system framework and healthcare system, and conducts tests and statistics on the teaching system.This paper combines online questionnaires, in-app survey feedback, and field visits to collect feedback from users and administrators.The final data show that the teaching system meets the requirements in four evaluation indicators: teaching content, ease of use of human-computer interaction design, technical services, and user subjective satisfaction.User satisfaction with these four aspects reached 86.33%, 95.17%, 63.83%, and 81.87%, respectively.It shows that the system is more popular and can meet the needs of most users.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Rhein Inhibits NF- κ B Signaling Pathway to Alleviate Inflammatory Response and Oxidative Stress of Rats with Chronic Glomerulonephritis

To explore the effect and mechanism of rhein on chronic glomerulonephritis (cgn).Method.Twenty-four eight-week-old male sd rats were randomly divided into following 4 groups (6 rats in each group): control group, cgn group, rhein group, and benazepril (ben) group.And 5 mg/m l of cationization-bovine serum albumin (c-bsa) was mixed with an equal volume of freund’s incomplete adjuvant for the preparation of 2.5 mg/m l of c-bsa solution.The rat model of cgn was established by injection of c-bsa for six weeks.Calculation of the renal index in rats was conducted.Biochemical detection was performed to measure the level of 24 h urinary protein, blood urea nitrogen (bun), serum creatinine (scr), and serum albumin (alb) of the rats, as well as the level of malondiadehyde (mda), superoxide (sod), and glutathione peroxidase (gsh-px) in the kidney tissue.Hematoxylin and eosin (h&amp;e) staining was utilized to measure histological changes in the kidney of the rats.The level of tnf-α, il-1β, il-6, and icam-1 in rat kidney tissues was determined by enzyme-linked immunosorbent assay (elisa).Western blot was applied to check the expression of nf-κb in the nucleus and cytoplasm as well as the expression of iκbα and p-iκbα in rat kidney tissues.Results.Rhein could decline urinary protein, restore blood biochemical parameters, and protect renal tissue in rats with cgn.Besides, rhein could inhibit the activity of the nf-κb signaling pathway in rats with cgn and could alleviate the inflammatory response and oxidative stress level at the same time.Conclusion.Rhein alleviates inflammatory responses and oxidative stress in rats with cgn.It also provides a theoretical basis and data support for the therapeutic drugs for cgn.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Research on Intelligent Solution of Service Industry Supply Chain Network Optimization Based on Genetic Algorithm

With the advent of the era of big data (bd), people’’s living standards and lifestyle have been greatly changed, and people’s requirements for the service level of the service industry are becoming higher and higher.The personalized needs of customers and private customization have become the hot issues of current research.The service industry is the core enterprise of the service industry.Optimizing the service industry supply network and reasonably allocating the tasks are the focus of the research at home and abroad.Under the background of bd, this paper takes the optimization of service industry supply network as the research object and studies the task allocation optimization of service industry supply network based on the analysis of customers’ personalized demand and user behavior.This paper optimizes the supply chain network of service industry based on genetic algorithm (ga), designs genetic operator, effectively avoids the premature of the algorithm, and improves the operation efficiency of the algorithm.The experimental results show that when m = 8 and n = 40, the average running time of the improved ga is 54.1 s.The network optimization running time of the algorithm used in this paper is very fast, and the stability is also higher.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;
Research on Diagnosis Architecture of Cardiovascular Diseases Based on Multimedical Images

To study the effect of a multi-image source 3d modeling imaging examination system on the diagnosis of cardiovascular diseases in cardiac surgery.Methods.The data of 680 confirmed patients and 1590 suspected patients in the cardiac surgery department of all hospitals of a large chain hospital management group were selected.All patients gave the examination results of multiple image sources and independent examination results of multiple image sources, respectively, their examination sensitivity, specificity, and reliability were compared, and the treatment efficiency and nursing satisfaction of the virtual reference group were deduced in matlab.Perform the bivariate t -test and comparative statistics in spss.Results.The multi-image source 3d modeling examination system had higher examination sensitivity, specificity, and reliability and higher examination sensitivity in the early stage of the disease.It was deduced that the clinical efficiency and nursing satisfaction based on the examination results were significantly improved ( t &lt; 10.000 , p &lt; 0.01 ).Conclusion.The multi-image source 3d modeling imaging examination system is suitable for the diagnosis of cardiovascular diseases in cardiac surgery.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Rehabilitation Evaluation of Hemiplegic Patients with Anterior Circulation Cerebral Infarction Based on Cranial Magnetic Stimulation

Cerebral infarction is a common cerebrovascular disease in clinical medicine.Cerebral infarction in the anterior circulation accounts for about 90% of cerebral infarction.Its treatment and rehabilitation has always been a research hotspot in the medical field.Functional retraining can enhance the afferent impulses received by receptors, make the plasticity development of cerebral cortex function, and improve the loss of function.Based on the patient’s individual condition, exercise therapy carries out the corresponding comprehensive functional training plan, which also includes the training of patients’ daily living ability, turning over, bridge exercise, trunk rotation, etc., in order to improve the motor function of patients.The other is psychotherapy, which can cause emotional fluctuations, depression, anxiety, and other negative emotions due to the occurrence of diseases.In the rehabilitation treatment, relevant personnel can conduct psychological counseling for patients through timely and effective communication, so as to better establish patients’ confidence in rehabilitation and improve the effect of rehabilitation treatment.The third is acupuncture treatment.Acupuncture is a traditional rehabilitation treatment in china.The rehabilitation effect of stroke has been proved by a large number of clinical practice.Acupuncture at hegu, quchi, zusanli, and taichong points can dredge channels and improve blood circulation.This paper mainly studies and analyzes the effect of behavior rehabilitation of hemiplegic patients with cerebral anterior circulation infarction treated by cranial magnetic stimulation.The rehabilitation treatment status of hemiplegic patients with anterior circulation cerebral infarction in a hospital was selected, and 100 cases were studied.Among them, 50 cases were treated with conventional rehabilitation therapy, and the other 50 cases were treated with cranial magnetic stimulation.The motor function, activities of daily living, and language expression ability of the two groups were compared for statistical analysis.After transcranial magnetic stimulation treatment, the abilities of the study group were better than those of the control group, p &lt; 0.05 , with statistical significance.Based on the reliable experimental data, we can draw a conclusion that the treatment of cranial magnetic stimulation has a significant effect on the rehabilitation of hemiplegic patients with cerebral anterior circulation infarction, which is higher than the conventional treatment and rehabilitation methods, and can be popularized in clinical application.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Clinical Study;
Recognition of Ziziphus lotus through Aerial Imaging and Deep Transfer Learning Approach

There is a growing demand for the detection of endangered plant species through machine learning approaches.Ziziphus lotus is an endangered deciduous plant species in the buckthorn family (rhamnaceae) native to southern europe.Traditional methods such as object-based image analysis have achieved good recognition rates.However, they are slow and require high human intervention.Transfer learning-based methods have several applications for data analysis in a variety of internet of things systems.In this work, we have analyzed the potential of convolutional neural networks to recognize and detect the ziziphus lotus plant in remote sensing images.We fine-tuned inception version 3, xception, and inception res net version 2 architectures for binary classification into plant species class and bare soil and vegetation class.The achieved results are promising and effectively demonstrate the better performance of deep learning algorithms over their counterparts.

Journal: Mobile Information Systems (2021)
Publication types: Research Article;