syedzayyan/paper_mill_benchmark huggingface dataset:
Preventive Effects of Mandarin Fruit Peel Hydroethanolic Extract, Hesperidin, and Quercetin on Acetaminophen-Induced Hepatonephrotoxicity in Wistar Rats

Acetaminophen, also known as n-acetyl-para-aminophenol (napap), is a traditional antipyretic and analgesic that is used extensively around the world to treat colds and fevers.However, a napap excess causes rapid, severe liver and kidney damage.The goal of the study was to examine the protective effects and determine the mechanisms of action of mphe, hesperidin, and quercetin in napap-induced hepatorenal damage in wistar rats.Male wistar rats received a 0.5 g/kg oral supplement of napap every other day for a period of four weeks.During the same period of napap supplementation, mphe (50 mg/kg), quercetin (20 mg/kg), and hesperidin (20 mg/kg) were administered to rats receiving napap.Mphe, quercetin, and hesperidin treatments significantly improved liver function in napap-supplemented rats.The high serum levels of aminotransferases, alkaline phosphatase, lactate dehydrogenase, and γ-glutamyl transferase as well as total bilirubin were significantly reduced, while the levels of suppressed serum albumin were significantly increased, demonstrating this improvement.Treatments utilizing these natural substances significantly enhanced kidney function as seen by a considerable decline in the increased blood levels of urea, uric acid, and creatinine.Additionally, the injection of mphe, hesperidin, and quercetin resulted in a decrease in the quantity of lipid peroxides while increasing the activities of superoxide dismutase, glutathione peroxidase, and glutathione-s-transferase in the liver and kidneys.The treatments markedly abated the napap-induced liver and kidney histological perturbations and reduced the napap-induced serum tumor necrosis factor-α level and liver and kidney proapoptotic protein 53 and caspase 3 expressions.Otherwise, serum interleukin-4 level significantly increased by treatments.The mphe, hesperidin, and quercetin treatments resulted in marked decrease in liver and kidney histopathological scores including inflammation, necrosis, apoptosis, and congestion.In conclusion, the mphe, quercetin, and hesperidin may induce hepatonephropreventive impacts in napap-supplemented rats via enhancing the antioxidant defense system, anti-inflammatory activity, and antiapoptotic action.

Journal: Oxidative Medicine and Cellular Longevity (2022)
Publication types: Research Article;
Prediction and Optimization of Stability Parameters of Borehole Sensor for Deep Water Drilling Based on Genetic Algorithm

In order to study the prediction and optimization of borehole stability parameters in deepwater drilling based on genetic algorithm.First, a genetic hybrid algorithm based on pattern search is proposed.Then, based on the adaptive genetic algorithm, the evolutionary population is searched for patterns, which makes the hybrid algorithm not only has a strong global search ability but also improves the local optimization accuracy.Finally, the unit footage cost in the drilling process is taken as the objective function, and the algorithm is verified by taking the drilling in karamay area as an example.The calculation results show that if the bit wear reaches 0.8-0.9 and then the bit is pulled out, the utilization rate of the bit can be increased, the design efficiency and accuracy can be improved, and the drilling cost can be reduced.The wear amount of the optimized bit is higher than that of the actual bit.Increasing the utilization rate of the bit can reduce the cost of drilling meters to a certain extent and improve the economic benefits of drilling.The objective function and constraint conditions for the optimization of drilling parameters are determined, and the algorithm is verified with the drilling data of karamay oilfield.The results show that the algorithm improves the stability and speed of iterative convergence and improves the reliability of data analysis results.Based on the regional three-dimensional formation rock parameter data volume, the optimization method can be used to optimize the drilling parameters before drilling and provide a basis for formulating the drilling design scheme.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Photocatalytic Performance Study of Organophosphorus-Doped Tungsten Trioxide and Composite Materials

The present study successfully produced a highly effective and stable organ phosphorus-doped tungsten trioxide (p-wo3) photocatalyst by a combination of hydrothermal and postcalcination methods.The crystallites, morphologies, and optical properties of the produced wo3 and p-wo3 crystals were investigated.The results indicated that p was consistently doped into the wo3 lattice in a pentavalent-oxidation state (p5+).Additionally, charge carrier traps capable of accepting photoelectrons were created.Additionally, the optical band gap was reduced from 2.4 to 2.33 e v.The degradation of methyl blue by photocatalysts was utilized to evaluate the photocatalytic performance of the synthesized p-wo3 samples at varied p concentrations (mb).The sample containing 6% -p-wo3 exhibited the best photocatalytic performance, degrading 96 percent of mb in 120 minutes, which was more than four times faster than the pure wo3 sample.The practicality of the synthesized p-wo3 was determined using samples from two residential wastewater treatment plants.When treating real wastewater with low organic matter concentrations, the p-wo3 demonstrated strong photodegradation performance.The creation of hydroxyl radicals (oh) and photography-created holes (h+) could be the key protagonists of photocatalytic activity in the p-wo3.

Journal: International Journal of Chemical Engineering (2022)
Publication types: Research Article;
Oral Administration of Gintonin Protects the Brains of Mice against Aβ-Induced Alzheimer Disease Pathology: Antioxidant and Anti-Inflammatory Effects

The study was aimed at analyzing the protective effects of gintonin in an amyloid beta‐ (a β ‐) induced alzheimer’s disease (ad) mouse model.For the development of the a β ‐induced ad mouse model, the amyloid‐ β (a β 1-42 ) peptide was stereotaxically injected into the brains of mice.Subsequently, gintonin was administered at a dose of 100 mg/kg/day/per oral (p.o) for four weeks daily, and its effects were evaluated by using western blotting, fluorescence analysis of brain sections, biochemical tests, and memory‐related behavioral evaluations.To elucidate the effects of gintonin at the mechanistic level, the activation of endogenous antioxidant mechanisms, as well as the activation of astrocytes, microglia, and proinflammatory mediators such as nuclear factor erythroid 2‐related factor 2 (nrf‐2) and heme oxygenase‐1 (ho‐1), was evaluated.In addition, microglial cells (bv‐2 cells) were used to analyze the effects of gintonin on microglial activation and signaling mechanisms.Collectively, the results suggested that gintonin reduced elevated oxidative stress by improving the expression of nrf‐2 and ho‐1 and thereby reducing the generation of reactive oxygen species (ros) and lipid peroxidation (lpo).Moreover, gintonin significantly suppressed activated microglial cells and inflammatory mediators in the brains of a β ‐injected mice.Our findings also indicated improved synaptic and memory functions in the brains of a β ‐injected mice after treatment with gintonin.These results suggest that gintonin may be effective for relieving ad symptoms by regulating oxidative stress and inflammatory processes in a mouse model of ad.Collectively, the findings of this preclinical study highlight and endorse the potential, multitargeted protective effects of gintonin against ad‐associated oxidative damage, neuroinflammation, cognitive impairment, and neurodegeneration.

Journal: Oxidative Medicine and Cellular Longevity (2021)
Publication types: Research Article;
Occupational Therapy Practice Based on New-Generation Information Technology for Employee Emotion Analysis and Management

This work intends to combine neural network technology with occupational therapy to fully acquire employees’ emotional information by constructing an effective emotion recognition network.Firstly, the psychological state of employees is discussed from three aspects of leadership narcissism, organizational identification, and the emotional contagion effect, and the corresponding model is implemented.Secondly, based on the convolutional neural network technology, the facial feature recognition and the body feature recognition are combined, and the employees’ emotions can be accurately identified by establishing a multilearning emotion recognition network.Finally, a questionnaire survey is carried out on the employees of enterprises in the coastal areas of zhejiang.Descriptive statistical analysis, reliability and validity analysis, correlation analysis, regression analysis, mediation effect tests, and other methods are used to analyze the questionnaire data.The results reveal that leadership narcissistic organizational identification plays a mediating role in the process of employees’ emotional contagion perception affecting employees’ psychology.Compared with younger employees, older employees have better psychological quality and mental health.There are also significant differences in emotion and work enthusiasm among employees with different educational backgrounds and positions.Employees’ perception of emotional contagion to pretending expressions, indifferent expressions, contempt expressions, and sincere expressions has an obvious positive impact on the psychological impact of other employees.The classification accuracy and regression error rate of the constructed multilearning emotion recognition network are 28.5% and 9.8%, respectively, which can accurately identify the emotional performance of employees.This work helps enterprises better understand the mental health of their employees.

Journal: Occupational Therapy International (2022)
Publication types: Research Article;
Occupational Therapy and Prevention of Common Sports Injuries for Special Physical Training

This paper provides an in-depth study of occupational therapy and the prevention of common sports injuries in special physical training.The issue of sports injuries and rehabilitation has always been a hot topic in special training.With the continuous development of sports, the increasing intensity of competition, and more stringent requirements for special techniques, the increase in difficulty and intensity of training has led to the increasing frequency of sports injuries, so how to prevent injuries in special physical training and rehabilitation and recovery of athletes after the injury is particularly important.Since the most common musculoskeletal injuries occur in the lower quadrant, this paper proposes a lower extremity functional test (left) model as a means of identifying injury risk and guiding the implementation of training programs to prevent sports injuries.In this paper, a knee injury is used as an example, and an occupational therapy program of tcm physical therapy + aquatic rehabilitation is adopted for the already occurred sports injuries.Through interviews and clinical examinations of athletes, coaches, and medical personnel, this paper summarizes the sites, types, characteristics, and probability of occurrence of common sports injuries in special physical training.Experiments were conducted through clinical rehabilitation of common sports injuries with the addition of tcm manual massage.A series of effects of this modality on the rehabilitation of sports injuries were examined by monitoring physiological and biochemical indexes and by comparative analysis before and after testing physical function indexes using the omega wave system.Sports injuries are diverse.Traditional chinese medicine physical therapy + water rehabilitation therapy is an effective physical therapy method.According to the relevant theories of traditional chinese medicine treatment, diagnosis and treatment through meridians and related acupuncture points have significant curative effects.Traditional chinese medicine, massage, and acupuncture have irreplaceable roles in the rehabilitation and treatment of sports injuries and can effectively improve and cure sports injuries.

Journal: Occupational Therapy International (2022)
Publication types: Research Article;
Multisign Health Monitoring Technology of Athletes Based on Artificial Intelligence

In order to improve the monitoring efficiency of physical fitness characteristics of athletes in training state, this paper proposes the research on athletes’ multisign health monitoring technology based on artificial intelligence sensor technology.Taking six excellent boxers as the experimental objects, four weeks of heavy load training and 10 training courses per week were arranged from six weeks before the competition to two weeks before the competition.The 4-week training is divided into two stages.From the first week to the fourth week, the training amount remains unchanged and the training intensity increases.The artificial intelligence sensor technology is used to design the athlete training state pulse test system.The athlete training state pulse sensor is responsible for collecting the athlete training state pulse data.The athlete pulse sensor in this system adopts zn17-kg200 pulse vibration sensor as the pulse sampling sensor.After 4 weeks of heavy load training, before and after adjusting for rest, venous blood was taken fasting on the next morning.White blood cells (wbc), red blood cells (rbc), hemoglobin (hemoglobin, hb), testosterone (hemoglobin, h), cortisol (cortisol), and testosterone/cortisol ratio were measured.The experimental results showed that t and t / c of athletes were significantly lower than those before training ( p &lt; 0.01 ), 37.99% and 52.69%, respectively.C and morning pulse were significantly higher than those before training ( p &lt; 0.05 ), with an increase range of 32.39% and 20.39%.There was no statistical significance in the changes of wbc, rbc, and hb.Hrv indexes ln lf and lf/hf were significantly higher than those before training.Athletes carry the designed portable athlete training state pulse test for heavy load training and display the current training state pulse data of each athlete in real time.The experimental data show that the system designed in this paper can monitor the pulse information of athletes in the training state in real time.The monitoring has good real-time result and accuracy and can realize the abnormal pulse alarm, which has a certain practical value.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Modeling on Social Health Literacy Level Prediction

Nowadays, the health level of residents has become the focus of people’s attention.Under the background of the development of health service from “disease‐centered” to “health‐centered,” it is very important to improve the level of urban health and clarify the factors affecting urban health.Therefore, this paper quantifies the relationship between residents’ health literacy level and environment, average life expectancy, infectious disease mortality, and other indicators by selecting appropriate indicators and establishing a mathematical model.Based on the reciprocal linear combination of the collected index data and the corresponding health level value, the prediction model of social health literacy level (spm) was established, and the qualitative prediction and quantitative analysis of citizens’ health literacy level were studied in depth.Based on the spm model, we can roughly predict the level of health literacy in a region only based on the main variables identified in this paper.The consistency of the experiment shows that the model is effective and robust, and it reveals that environmental factors are the most important factors affecting residents’ health literacy level.The actual data show that the spm model is a timely and reasonable framework to measure the health literacy level of residents.

Journal: Computational Intelligence and Neuroscience (2021)
Publication types: Research Article;
Mir-204 Regulates LPS-Induced A549 Cell Damage by Targeting FOXK2

To assess whether mi r-204 and ha affect a549 cell injury induced by lipopolysaccharide.Material and methods.A549 cells were treated with hirsutanol a, and cell damage was induced by lps followed by analysis of cell proliferation by cck-8, cell apoptosis by flow cytometry, apoptosis-related protein expression by western blot, downstream target of mi r-20 by dual-luciferase reporter gene, and inflammatory factors by elisa and pcr.Results.Lps can significantly inhibit the viability of a549 cells, induce cell apoptosis, and promote the release of il-6, il-1β, and tnf-α, while ha pretreatment can target foxk2 by upregulating mi r-204 levels, thereby alleviating apoptosis and promoting cell viability and at the same time inhibiting the release of inflammatory factors by inhibiting the activation of nf-κb.Conclusions.Mi r-204 participates in the protection of ha acute lung injury by targeting foxk2.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;
Mining Stress Distribution in Stope and Overlying Rock Fracture Characteristics and Its Disaster-Pregnant Mechanism of Coal Mine Earthquake

The corresponding engineering effects are inevitable and occurred when the coal mines working face mining.The main manifestations are distribution of mining stress and fracture of overlying rock seams.The mining effects play a controlling role in the occurrence of dynamic disasters such as disastrous coal mine earthquakes and rock bursts.In view of this, taking no.1305 working face mining of dongtan coal mine for background, the distribution and transfer characteristics of mining stress in working face and fracture characteristics of roof rock formation were studied by theoretical analysis, numerical simulation, and microseismic monitoring.The change mechanism of stress, strain, strain rate, and energy of rock mass in the process of coal mine earthquake gestation was expounded by the burgers mechanical model.The results show that the microseismic hypocenters are mainly concentrated near the increasing pressure zone and the fractured zone.The hypocenter first gathered at the main roof, and then, it gradually developed upward and returns to the main roof after mining.The distribution of microseismic frequency and advanced support pressure is basically consistent.The microseismic energy peak value area with respect to the support pressure peak value area often presented a certain lag.The relationship of empirical formula is inferred as y e = m e + ∆ d .The overlaying rock caving zone and fractured zone with height of 37.8 m and 95 m, respectively, were revealed by microseismic monitoring.It is 8.4% larger than the numerical result.It shows that the prediction results of overlying rock fracture height based on the distribution of large energy hypocenter points is well applied in the field, and the operations are simple and intuitive.

Journal: Shock and Vibration (2022)
Publication types: Research Article;
Meta-Analysis of the Correlation between Postoperative Cognitive Dysfunction and Intraoperative Cerebral Oxygen Saturation

This study is aimed at performing a meta-analysis for discussing the association between postoperative cognitive dysfunction (pocd) and cerebral cortical oxygen saturation after surgery (r so2).Method.Search common english databases such as cochrane library, pub med, and embase databases to evaluate the quality of all references.According to the normalized mean difference (smd) and 95% confidence interval calculated by the revman5 software, the correlation between reported pocd and r so2 was evaluated.The retrieval time is up to february 1, 2021.Results.A total of 7 randomized controlled trials and 564 pocd patients were included in the study, with follow-up duration of 1-12 months.All patients were divided into control and operation subgroups.In the subgroup analysis of elderly patients, abdominal surgery, and orthopedic surgery, the mean intraoperative cerebral oxygen saturation of patients with pocd was significantly lower than those of patients without pocd ( i 2 = 55 % , smd = − 0.57 ).Conclusion.Lower intraoperativers o2 was associated with reduced incidence of neurological complications and renal alure as well as the length of stay in the intensive care unit and the total hospital stay.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Meta-Analysis;
Long Jump Action Recognition Based on Deep Convolutional Neural Network

Long jump is a test item of national student physical health monitoring, which can reflect the quality of students’ lower limb strength.Long jump is a highly technical activity, which includes four basic movements: running aid, jumping, vacating, and landing.Many students have problems with the technical aspects, resulting in test scores that do not objectively reflect the true physical condition of the students, which affects the accuracy of the test results.From the perspective of rapid diagnostic feedback of students’ long jump movements, we design and develop a long jump movement recognition method based on deep convolutional neural network.In this paper, we firstly summarize the traditional visual action recognition algorithm, then apply 3d convolution to extract the spatiotemporal features of long jump action from three directions of the video block, and fuse the spatiotemporal features of the three directions in different ways to achieve feature complementation; finally, using the multimodality of long jump action data, we use 3d convolutional neural network to train the rgb images and then train the depth.This joint training method can accelerate the convergence speed and improve the accuracy of the network on both depth and edge images.The experiments compared the recognition effects of the tandem fusion of features, the maximum fusion, and the multiplicative fusion in the scoring layer, and the highest accuracy of 82.3% was achieved by the tandem fusion of features with the fusion of three modalities.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Landscape Classification Method Using Improved U-Net Model in Remote Sensing Image Ecological Environment Monitoring System

Ing at the problems of low classification accuracy and time‐consuming properties in traditional remote sensing image classification methods, a remote sensing image classification method of ecological garden landscape based on improved u‐net model is proposed.Firstly, the remote sensing images of ecological garden landscape are collected by s185 multirotor unmanned aerial vehicle (uav) system and preprocessed by min‐max standardization and data enhancement.Then, the asymmetric convolution block and attention mechanism are used to improve the u‐net model to form the att‐unet network model, so as to overcome the problems of easy overfitting of the model and incomplete small target detection.Finally, the fully connected conditional random field is introduced into the classification postprocessing to refine the segmentation results.Based on the keras learning framework, the proposed method is experimentally demonstrated.The results show that the recall, precision, f1 value, and accuracy of the proposed method in the remote sensing image of ecological garden landscape are 0.854, 0.801, 0.836, and 0.982, respectively, and the classification test time is 8.9s.The overall performance is better than other comparison methods, which can provide theoretical support for the dynamic monitoring of the development of ecological garden.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;