syedzayyan/paper_mill_benchmark huggingface dataset:
Acupuncture-Moxibustion Combined with Rehabilitation Training Is Conducive to Improving the Curative Effect, Cognitive Function, and Daily Activities of Patients with Cerebral Infarction

To elucidate the effect of acupuncture-moxibustion combined with rehabilitation training (rht) on the curative effect, cognitive function (cf), and activities of daily living (adl) of patients with cerebral infarction (ci).Methods.This study enrolled 150 patients with ci admitted to the wuhan sixth hospital, affiliated hospital of jianghan university from june 2020 to july 2021.Among them, 80 patients who were treated with acupuncture-moxibustion combined with rht were included in the research group, and 70 patients who received acupuncture-moxibustion alone were included in the control group.The efficacy, cf, and adl were observed in both groups, and the influences of the two therapies on serum uric acid (ua), high-sensitivity c-reactive protein (hs-crp), and cystatin c (cys-c) were compared.Among the various indexes, the cf of patients was assessed by the montreal cognitive assessment (mo ca), and the adl was evaluated by the barthel index.Results.After treatment, the research group presented significantly better efficacy, cf, and adl than the control group, with lower levels of serum ua, hs-crp, and cys-c than the control group and before treatment.Conclusion.Acupuncture-moxibustion combined with rht can inhibit serum ua, hs-crp, and cys-c levels of patients with ci while improving the curative effect, cf, and adl, which is worthy of clinical promotion.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Acupuncture Enhances Gastrointestinal Motility and Improves Autonomic Nervous Function in Patients with Septic Gastrointestinal Dysfunction

Gastrointestinal dysfunction (gd) is a common complication after endotoxemia, which can further aggravate the progress of infection.Acupuncture uses metal needles of different shapes and techniques to stimulate specific points on the human body, which are effective in treating various diseases, including gastrointestinal diseases.We aimed at exploring the clinical effect of acupuncture on the recovery of visceral sensation, proximal gastric compliance, and autonomic nervous function in patients with septic gd.A total of 73 sepsis with gd patients were selected using modified single section ultrasonography combined with clinical symptoms in the first people’s hospital of lanzhou city during 2019.The participants were randomly allocated to routine-treatment (control group) and study group receiving acupuncture.The indexes before and after treatment included gastric residue, gastric dilatation, pressure and volume, gastric compliance, autonomic nerve function, apache ii score, and infection index were measured and compared.Before treatment, there was no significant difference in the basic information of the two groups, including gastric volume and pressure, gastric residue, gastric compliance, autonomic nerve function, and apache ii score.After treatment, the maximum gastric volume and pressure, gastric residue, and apache ii score of the two groups were significantly improved ( p &lt; 0.05 ).In addition, the maximum gastric volume and pressure of the study group were significantly higher, while gastric residual, autonomic nerve function, and apache ii were significantly lower than those of the control group ( p &lt; 0.05 ).However, our results showed that acupuncture did not further reduce inflammatory markers, including white blood cells, c-reactive protein, and procalcitonin.To sum up, on the basis of basic treatment, the application of acupuncture can further improve the clinical symptoms of gd in patients with sepsis, enhance gastrointestinal motility, and improve autonomic nervous function, which is worthy of clinical application and promotion.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Clinical Study;
Acupuncture Effect Assessment in APP/PS1 Transgenic Mice: On Regulating Learning-Memory Abilities, Gut Microbiota, and Microbial Metabolites

Alzheimer’s disease (ad) is a brain illness that affects learning and memory capacities over time.In recent investigations, acupuncture has been shown to be an effective alternative treatment for ad.We investigated the effect of acupuncture on learning and memory abilities using a water maze in app/ps1 transgenic mice.The amounts of aβ and tau protein in mice’s hippocampal tissue were determined using western blot.The levels of il-1β, il-10, lps and tnf-α in mice’s serum were measured using elisa.The variations of gut microbiota in mice’s feces were determined using the 16sr dna technique, and the metabolites were examined using a untargeted metabolomics methodology.The results showed that acupuncture treatment improved mice’s learning and memory abilities substantially.Acupuncture therapy regulated the aβ and tau protein concentration as well as the levels of il-10 and lps.Acupuncture treatment influenced the mouse microbiota and metabolites and had been linked to six biochemical pathways.This study adds to our understanding of the effect of acupuncture on ad and opens the door to further research into the alterations of intestinal bacteria in the presence of ad.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
A Systematic Review and Meta-Analysis of the Facet Joint Orientation and Its Effect on the Lumbar

Facet tropism is recognized as the difference in the positioning of the facet joints in association with each other in the sagittal plane.This guides to an imbalanced biomechanical force over the facet joints and the intervertebral disc during rotation and other physiological activities.A systematic review and meta-analysis of web of science, embase, pub med, cochrane library, scopus, and cinhal from 2004 to 2021 to recognize the related research studies was performed.The data for meta-analysis were obtained from multiple studies to get the combined effect of the facet tropism on the lumbar disc herniation (ldh) and the degenerative lumbar spondylolisthesis (lds).117 articles were incorporated in the systematic review, where 41 studies were selected for meta-analysis, out of which 7 studies were found eligible as per the inclusion criteria.When degenerative lumbar spondylolisthesis was compared with the normal group, 95% ci was observed at 1.94 (1.59, 2.28).There was a comparison of disc herniation with the normal group in l4/l5, with a 95% ci of 0.60 (0.05, 1.14).The l5/s1 disc herniation was compared with the normal group and was found to be 0.21 (−0.48, 0.90).Therefore, it was observed that facet tropism is related to lumbar disc herniation and degenerative lumbar spondylolisthesis.Our meta-analysis demonstrated a unique link between the facet tropism and the lumbar disk degeneration along with degenerative lumbar spondylolisthesis.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Meta-Analysis;
Evaluation of Sustainable Environment-Friendly Interior Decoration Design from the Perspective of Low-Carbon Economy

With the rapid development of economic and social productivity, the living standards of our people have been continuously improved.As human society enters industrialization and urbanization, in order to meet the increasing needs of life, people have higher and higher requirements for the environmental quality of their lives.People spend nearly 90% of their time indoors.Therefore, the environmental quality of indoor spaces has become an issue that cannot be ignored.The interior space environment of the building is closely related to everyone’s life.However, when people decorate their rooms luxuriously and warmly, the subsequent interior decoration sequelae are also seriously affecting people’s health.The pollution caused by indoor decoration is serious, whether it is the use of decoration materials or improper indoor design that will cause indoor air pollution.Based on building materials and interior design, this paper systematically analyzes the pollutants in the fully decorated interior space and proposes that from the perspective of low-carbon economy, interior space design should be based on the ecological environment, and the focus of the design is on the rational use of nature.Resources and decoration methods should start from the application of natural colors and natural materials and organically combine green materials and green decoration designs to create a more comfortable, healthy, safe, and environmentally friendly indoor space environment.

Journal: Mathematical Problems in Engineering (2022)
Publication types: Research Article;
Dynamic Control of Water Level in Flood Limited Reservoir Based on Intelligent Calculation

Determining the flood-limited water level is the focus of the contradiction between flood control and profit-making.The dynamic control of the flood-limited water level of the reservoir is an effective way to ensure flood control safety and realize flood resource utilization.Based on the analysis of the availability of forecast information, this paper conducts a study on the dynamic control of the flood-limited water level in panjiakou reservoir.The dynamic control area of panjiakou reservoir is determined by the “predischarge capacity constraint method.” on the premise of satisfying the flood control safety of the reservoir, the “prestorage and predischarge method” is adopted according to the real-time forecast information, the water conditions, work conditions, disaster conditions, etc.To develop a dynamic control plan for the flood-limited water level in the main flood season of the reservoir.Finally, based on the improved first-order second moment method (afosm), the dispatch risk model of the dynamic control of the flood-limited water level of the reservoir is constructed, and the risk analysis of the flood forecasting system is carried out.The results show that (1) the flood forecast accuracy of panjiakou reservoir conforms to the standard of the b-level forecasting scheme, and the results can be applied under the condition of considering the forecast error; (2) it is suggested that the maximum water level of the panjiakou reservoir in the main flood season is dynamically controlled to be 218 m.In the case of water supply guarantee rate p = 75 % , compared with the current situation of the flood-limited water level of 216 m, the water supply is increased by 40 million m3, and the flow of electricity is increased by 30 million.The flood control risk rate under the rain leakage error is lower than 0.1, which is the minimum risk level, which is acceptable.However, when the net rain leakage error is greater than 25 mm, there may be insufficient leakage or excessive leakage, which will cause inconvenience to downstream flood control.

Journal: Mathematical Problems in Engineering (2022)
Publication types: Research Article;
Construction of Evaluation Model for Transformation and Development of Rural Areas in Energy-Enriched Poverty-Stricken Areas

Because of the particularity of energy being non-renewable, the development of energy-intensive cities must consider its follow-up development issues in advance, especially for newly developed energy-intensive cities like songyuan in the midwest of jilin province.It is necessary to summarize the experience from other energy-intensive cities and recognize the problems existing in its own development, so that the development of the city will not perish due to the exhaustion of energy.At present, the sustainable development of energy-intensive cities is the focus of attention at home and abroad.Energy-intensive cities have made great contributions to the national and regional economy but also paid a considerable price.Making the city continue to prosper and develop steadily without causing the city to decline due to the exhaustion of energy is the main problem facing the country, the government, and experts and scholars.Taking songyuan city in northeast china as an example, this paper adopts a combination of breakthroughs from the surface and breakthroughs, supplemented by theoretical analysis and empirical evaluation, and uses mathematical model simulation and expert consultation and decision-making methods.Starting from the theoretical height of man-land harmony and sustainable development, we construct an evaluation model of rural development status in energy-enriched poverty-stricken areas, evaluate the evolution trend of rural development status, and propose leading models and development strategies for rural transformation and development in energy-enriched poverty-stricken areas.It provides theoretical reference and decision-making basis for the sustainable development of rural songyuan city.

Journal: Mathematical Problems in Engineering (2022)
Publication types: Research Article;
Diagnosis of Melanoma Using Deep Learning

When compared to other types of skin cancer, melanoma is the deadliest.However, those who are diagnosed early on have a better prognosis for the purpose of providing a supplementary opinion to experts; various methods of spontaneous melanoma recognition and diagnosis have been investigated by different researchers.Because of the imbalance between classes, building models from existing information has proven difficult.Machine learning algorithms paired with imbalanced basis training approaches are being evaluated for their performance on the melanoma diagnosis challenge in this study.There were 200 dermoscopic photos in which patterns of skin lesions could be extracted using the vgg16, vgg19, inception, and res net convolutional neural network architectures with the abcd rule.After employing attribute selection with gs and training data balance using synthetic minority oversampling technique and edited nearest neighbor rule, the random forest classifier had a sensitivity of nearly 93% and a kappa index ( k − index ) of 78%.

Journal: Mathematical Problems in Engineering (2021)
Publication types: Research Article;
Research on the Financial Support Performance Evaluation of Big Data Industry Development

In order to solve the problem that the traditional information systems have such as slow running responses and cannot meet the expected requirements of users, a performance evaluation method of financial support for the development of the big data industry is proposed.According to the characteristics of financial support, this paper uses the analytic hierarchy process (ahp) and the fuzzy comprehensive evaluation principle to establish a specific evaluation index system for the performance evaluation of financial support in the big data industry and select a suitable index group.In order to reflect the financial support performance, the analytic hierarchy process (ahp) is used to calculate the weight of various performance evaluation indicators, and the fuzzy comprehensive evaluation is used to combine qualitative analysis and quantitative analysis to evaluate and calculate the big data industry scientifically, objectively, fairly, and accurately.In financial support performance, experiments show that the proposed method not only has a fast response time but also can ensure that the actual results after the system runs are in line with the expectations of the system users.

Journal: Mathematical Problems in Engineering (2022)
Publication types: Research Article;
Research and Implementation of Association Analysis of Agricultural Insurance Based on Data Mining Algorithm

In order to establish the comprehensive competitive intelligence system of agricultural insurance companies, the process model of agricultural insurance competitive intelligence is constructed by combining data mining and process mining.The model is based on the relationship between data mining, process mining, and competitive intelligence based on analytic hierarchy process, and combines the current agricultural insurance subsidy policy, and the demand characteristics of competitive intelligence of agricultural insurance companies.Experimental results show that, among 11 secondary indicators, 6 indicators are rated above 4.0, that is, good grade or above, and 5 indicators score below 4.0, and still need to be improved.Prove data mining and the ahp algorithm can effectively improve the sustainability of agricultural insurance.

Journal: Mathematical Problems in Engineering (2022)
Publication types: Research Article;
Optimization of Plane Image Color Enhancement Processing Based on Computer Vision Virtual Reality

In order to solve the problems of low brightness contrast of a color image, hiding a large amount of detail information, and deviation of color information in the process of image acquisition, an optimization method of plane image color enhancement processing based on computer vision virtual reality is proposed.In this method, the input rgb image is converted into the image represented by the hsi color model, and its adaptive brightness is adjusted to improve the overall brightness of the image.For the local detail enhancement of the color image, the three-dimensional gaussian model perceived by retinal neurons is introduced into the illuminance image estimation of the msr algorithm to enhance the image color.The results are as follows: from the perspective of objective parameter evaluation, the mean, standard deviation, information entropy, and average gradient of example images 1 and 2 are improved by about 70%; this algorithm not only enhances the brightness and contrast of the image but also maintains the detailed edge information of the image and the color characteristics of the object itself.The average enhancement rate is the highest among various algorithms, up to 95%.The algorithm proposed in this paper maintains the edge detail information of the image, optimizes the defects of the combination of traditional bilateral filtering and retinex algorithm, and the color is also well restored, which makes the monitoring image easier to identify, more conducive to criminal investigation and solving cases, and lays a foundation for subsequent image processing.

Journal: Mathematical Problems in Engineering (2022)
Publication types: Research Article;
Application of PSO-based LSTM Neural Network for Outpatient Volume Prediction

In order to study the construction method of long- and short-term memory neural network model, which is based on particle swarm optimization algorithm and its application in hospital outpatient management, we have selected historical data of outpatient volume of relevant departments in our hospital.Furthermore, we have designed and developed the outpatient volume prediction model, which is based on long- and short-term memory neural network.Additionally, we have used particle swarm optimization algorithm (pso) to optimize various parameters of long- and short-term memory network and then utilized this optimized model to accurately predict the outpatient volume.Experimental observations, which are collected through the results of monthly outpatient volume prediction, show that root mean square error (rmse) of the particle swarm optimized ltmn model on the test set is reduced by 48.5% compared with the unoptimized model.The particle swarm optimization algorithm has efficiently optimized the prediction model, which makes the model better predict the trend of outpatient volume and thus provide decision support for medical staff's outpatient management.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;
A Stimulator of the Salivary Excretion Based on Physical Vibration of the Parotid Glands

Oral dryness causes significant health problems both functional (difficulty speaking, chewing and swallowing) and structural in teeth (increased number of infections) and oral mucosa.The main objective of this study is to show an alternative treatment to help stimulate the salivary secretion thus improving the quality of life of the patient.In this study, a salivary stimulation equipment using vibrotactile stimuli is shown.The system has been placed bilaterally in the parotid glands and assessed the efficacy of the salivary secretion by sialometry before and after the stimulation.The new proposal is capable of stimulating salivary secretion, in a significative way after 7 minutes of use, at least in the cases analyzed, and fulfills low-cost, easy-to-use, and safe technical restrictions.In this setting, this paper suggests the performance of a deep clinical trial to measure the exact efficacy of the prototype and the times and frequencies needed to state the optimal treatment depending in each case.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
A Simulation Analyzing Approach to Estimating the Probability of Airborne Infection Risks in Railway Station Platform Coupling with the Wells-Riley Model and Pathfinder Model

Railway station platforms present a particular challenge, especially during a train departure or arrival where some passengers may have potential conditions that make them vulnerable to airborne infections due to the high density and close proximity of passengers.This study presented a simulation analyzing approach to estimating the probability of airborne infection risks in station platform spaces coupling with the wells-riley model and pathfinder model.We examine the impact of overcrowded area of the station platform on infection rates under various traces of evacuation.The result of the potential risk for three modes is discussed, and the results of the standard model under the same parameter setting are optimised.Next, the impact of the ventilated volume based on uneven distribution of individuals and the exposure time based on evacuation on the infection risk in platform spaces are studied.The relationship between platform spaces overcrowding and the infection risk provided further insights to observe the supporting information.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;