syedzayyan/paper_mill_benchmark huggingface dataset:
Design Method of Art Innovation Space Based on Computer Image Data Acquisition

With the development of science and technology, it brings more possibilities for artistic space design method innovation.The development of computer image data acquisition technology has realized the continuous extension of artistic space design and creation.Based on the computer image data collection technology, this paper realizes the innovative design of real and virtual environment in the exhibition of art space, centering on the interactive integration of the three elements of “human-objects-space.” through the experimental design, from the space, color data collection, display space moving line, and space function design scheme were the four aspects of exploration and analysis.Compared with traditional design methods, the following conclusions are drawn: first, in spatial data acquisition, the average error of area measurement is less than 3.63%, and the measurement accuracy can reach more than 91%.Second, the average accuracy of color detection of various materials in space can be maintained at 90%.Third, the spatial movement line designed in this paper is simple and clear, with appropriate length, so that visitors can achieve the best visiting effect with the smallest distance.Fourth, the overall design scheme is reasonable, the space is transparent and bright, and the tour route is clear.It can complete the functional zoning design of the art exhibition space in a short time, saving a lot of manpower and time.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Crop Growth Monitoring System Based on Agricultural Internet of Things Technology

In order to improve the effect of crop growth monitoring, this paper combines the internet of things technology to construct a crop growth monitoring system based on the agricultural internet of things technology.Moreover, this paper combines the fuzzy theory to process the data of the agricultural internet of things to reduce the uncertainty of the data processing of the agricultural internet of things.After improving the fuzzy algorithm, this paper builds an intelligent model, builds the system structure framework according to the actual needs of crop growth monitoring, sets up and analyzes the environmental parameters, and builds the crop growth monitoring system from multiple perspectives.Finally, after constructing the system structure of this paper, the performance of the system proposed in this paper is verified.From the test results, it can be seen that the crop growth monitoring system based on the agricultural internet of things proposed in this paper has a good effect.

Journal: Journal of Electrical and Computer Engineering (2022)
Publication types: Research Article;
Controlled Release of Curcumin from HPMC (Hydroxypropyl Methyl Cellulose) Co-Spray-Dried Materials

In order to achieve the controlled release of curcumin, hpmc (hydroxypropyl methyl cellulose) was spray dried with curcumin and lactose.The spray-dried materials were pressed into tablets with a diameter of 8 mm, and their release characteristics in vitro were measured.In vitro experiments showed that the release of curcumin from the hpmc mixture was significantly slower due to the sustained-release property of hpmc as a typical excipient.The release profile of curcumin from the hpmc mixture was relatively stable for a controlled release.Sem images show that the hpmc co-spray-dried powders have crumpled surfaces due to the large molecular weight of hpmc.Dsc, xrd, ftir, n2 adsorption, and tga have been measured for the spray-dried curcumin materials.This work indicates that hpmc can be used as a controlled-release excipient for curcumin preparations.

Journal: Bioinorganic Chemistry and Applications (2021)
Publication types: Research Article;
Construction and Quality Control of Subway Wet Loess in Concealed Tunnel Based on Particle Swarm Optimization Algorithm

To reduce urban pressure, urban rail transit has become an effective way to reduce traffic congestion, mitigate traffic accidents, reduce environmental pollution, and improve commuting efficiency.Subway as the main means of urban public transport travel, in recent years by people’s favor, although the construction industry of rail transit is developing rapidly and the industry scale is expanding, but because the construction of rail transit construction projects is very difficult, especially in the wet loess within the concealed excavation tunnel, but also frequent accidents, and the quality of the project is not easy to guarantee, so the underground railroad wet loess within the concealed excavation tunnel construction technology is poor.Therefore, it is especially important to study the construction technology and project quality management of underground railway concealed tunnel in wet loess.In this paper, based on the in-depth study of the basic principle of quantum particle swarm optimization calculation and the realization of key engineering technologies, the particle swarm optimization algorithm is programed using matlab software, and the coding scheme, operation specification, and operation parameters are designed.Then, combined with the particle swarm optimization algorithm and assisted matlab software, the main analysis of the construction and quality control of wet loess in concealed tunnels of subway projects was carried out, mainly by systematizing the relationship between the three major elements of subway project schedule, cost, and management and the construction and quality control of wet loess in concealed tunnels of a subway, and concluded that the construction and quality control of wet loess in concealed tunnels of the subway needed schedule.It is concluded that the construction and quality control of subway wet loess tunnel requires stable schedule, adequate cost budget, and management personnel.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Comprehensive Decision Analysis of Industry 4.0 Virtual Enterprises considering the Personalized Customization Model of Product Life Cycle

In the era of industry 4.0, various types of information accumulated by enterprises in the production process have become a sea of data.These manufacturing-related data originate from enterprises and are used by enterprises and include not only process data such as documents and pictures but also complex information such as video and sound.Moreover, these data are not only large in quantity and wide in variety but also have the characteristics of fast generation speed and low value density.The model constructed in this paper can be applied to the personalized customization of product life cycle and can help enterprises make comprehensive decision-making.In particular, it can perform intelligent decision analysis under the background of industry 4.0.In addition, this article combines intelligent algorithms to build an intelligent enterprise comprehensive decision-making system.The experimental research results show that the decision-making system proposed in this paper can play an important role in the comprehensive decision-making of industry 4.0 enterprises, and this decision-making can be spread throughout the entire life cycle of the product.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Comparison of the Effects of Hysteroscopic Cold Broad Sword Play Combined with Estrogen and Progestin Sequential Therapy and Drospirenone and Ethinylestradiol Tablets in Patients with Severe Intrauterine Adhesion

To compare the effects of hysteroscopic cold broad sword play combined with estrogen and progestin sequential therapy and drospirenone and ethinylestradiol tablets in patients with severe intrauterine adhesion.Methods.One hundred and eight patients with severe iua admitted to our hospital from may 2019 to october 2021 were selected for the study.Patients were divided according to their treatment regimen into group a (n = 54) treated with hysteroscopic cold broad sword play + drospirenone and ethinylestradiol tablets and group b (n = 54) treated with hysteroscopic cold broad sword play + estrogen and progestin sequential therapy.The two groups were compared in terms of perioperative indicators, recovery of uterine cavity status, inflammatory factor (c-reactive protein (crp), interleukin 6 (il-6), and interleukin 8 (il-8)] levels), world health organization quality of life brief scale (whoqol-bref) score, and clinical outcome at 3 months postoperatively.Result.After surgery, the duration of abdominal pain and vaginal bleeding was shorter in group a than in group b ( p &lt; 0.05 ).After surgery, the time of menstruation return was shorter in group a than in group b, and the menstrual flow score was higher than in group b ( p &lt; 0.05 ).At 3 months after the surgery, the uterine blood flow index, endometrial thickness, and uterine cavity volume were higher in group a than in group b, and the number of uterine readhesion was lower than in group b ( p &lt; 0.05 ).3 months after the surgery, the crp, il-6, and il-8 levels decreased in both groups and were lower in group a than in group b ( p &lt; 0.05 ).At 3 months after the surgery, the whoqol-bref scores for each indicator were higher in both groups than before surgery and were higher in group a than in group b ( p &lt; 0.05 ).At 3 months after the surgery, the overall valid rate of group a was 94.44% better than that of group b at 79.63% ( p &lt; 0.05 ).Conclusion.The combination of hysteroscopic cold broad sword play with drospirenone and ethinylestradiol tablets has been shown to be more effective than combined estrogen and progestin sequential therapy in the treatment of patients with severe iua, which significantly improves the post-operative menstrual status and uterine cavity morphology, significantly reduces the level of inflammatory factors in the patient’s body, and significantly improves the quality of life, which is of value.

Journal: Emergency Medicine International (2022)
Publication types: Clinical Study;
Comparative Efficacy and Acceptability of Nonpharmacotherapy in the Treatment of Inattention for ADHD: A Network Meta-Analysis

This article is aimed to compare the efficacy and acceptability of exercise intervention with other nonpharmacological therapies in improving attention in adhd patients and then rank those therapies.Methods .Relevant rct studies from the cochrane library, web of science, psycinfo, and pub med were systematically searched from january 2011 to january 2020.The literature was screened, and the researchers extracted and used stata16 and win bugs1.4 independently to analyze the data.Results .The improvement of “attention deficit” in adhd patients was measured in 83 independent studies with 4,998 participants and 14 nonpharmacological therapies.Therapies were ranked as follows, according to the efficacy and acceptability of the cumulative probability area under the curve (sucra): (1) meditation and cognitive; (2) sport intervention therapy; (3) vitamin and mineral; (4) cognitive behavioral therapy; (5) computer training; (6) psychological education; (7) working memory training; (8) neurofeedback therapy; (9) polyunsaturated fatty acids; (10) mineral supplements; (11) meditation; (12) vitamin; (13) biofeedback therapy; and (14) school‐based training.However, because the effect size of meditation and cognitive therapy was at a marginally significant level (smd = −1.07, (−2.15, 0.00)), the robustness of the results was far lower than that of sport intervention therapy.Therefore, careful interpretation is needed in practice.Conclusion .Considering the efficacy and acceptability of various nonpharmacological therapies, sport intervention has a more stable effect on the improvement of attention deficit.Secondly, meditation and cognitive therapy, cognitive behavioral therapy, and computer training can also be effective complementary tools.

Journal: Complexity (2021)
Publication types: Meta-Analysis;
Clinical Value of Pleural Effusion and Serum MMP-3 and CYFRA21-1 Combined with ADA in Differential Diagnosis of Pleural Exudative Effusion

The aim of the study is to investigate the clinical value of matrix metalloproteinases-3 (mmp-3) and cytokeratin 19 fragment antigen 21-1 (cyfra21-1) combined with adenosine deaminase (ada) in pleural effusion and serum in benign and malignant pleural exudative effusion (pee).Methods.A total of 119 adult patients with pee admitted in our hospital from may 2018 to october 2021 were selected.According to the patient’s condition, the patients were divided into the benign group (n = 75) and the malignant group (n = 44).The levels of mmp-3, cyfra21-1, and ada in pleural effusion and serum were detected.The receiver operating characteristic (roc) curve was used to analyze the individual and combined predictive value of mmp-3, cyfra21-1, and ada levels.Results.In the malignant group, the pleural effusion and serum mmp-3 and cyfra21-1 levels were higher than those in the benign group and the ada levels were lower than those in the benign group (p &lt; 0.05).In the malignant group, the positive detection rate of pleural effusion and serum mmp-3 and cyfra21-1 was higher than that in the benign group and the positive detection rate of pleural effusion and serum ada were lower than that in the benign group (p &lt; 0.05).The auc of pleural effusion mmp-3, serum mmp-3 and the combination of them in the diagnosis of pee were 0.764, 0.722 and 0.810, respectively.The auc of pleural effusion cyfra21-1 and serum cyfra21-1 and combination of them in the diagnosis of pee were 0.776, 0.748 and 0.822, respectively.The auc of pleural effusion ada, serum ada and their combination in differential diagnosis of pee were 0.762, 0.737 and 0.836, respectively.The auc of pleural effusion and serum of mmp-3 and cyfra21-1 combined with ada for differential diagnosis of pee was 0.923.Conclusions.The diagnostic efficacy of mmp-3 combined with cyfra21-1 and ada in pleural effusion and serum for benign and malignant pee are better than single index, which has certain clinical values for the selection of early intervention scheme for pee patients.

Journal: Emergency Medicine International (2022)
Publication types: Research Article;
Clinical Effect and Aesthetic Evaluation of Minimally Invasive Implant Therapy

To explore the clinical effect and aesthetic evaluation of minimally invasive implant in the treatment of dentition defect.Methods.From april 2020 to may 2021, 60 patients who received implant restoration were collected as the research objects.Randomly divided into minimally invasive surgery group (30 patients) and routine surgery group (30 patients).The postoperative antibiotic use time, pain disappearance time, swelling degree, and pain degree of the two groups were compared.Follow-up for one year, record and compare the success rate of implants and aesthetic evaluation of restoration between the two groups.The evaluation of patients’ satisfaction with restoration was collected and compared.Results.The operation time and antibiotic use time of patients in minimally invasive surgery group were significantly shorter than those in conventional surgery group, and the swelling degree rating was significantly better than that in conventional surgery group, with statistical significance ( p &lt; 0.05 ).The number of patients with no pain (0 degree) and mild pain (degree) in minimally invasive surgery group was significantly higher than that in routine surgery group, and the difference was statistically significant ( p &lt; 0.05 ).One year after the repair, the success rate of implants in minimally invasive surgery group was 100.00% compared with that in routine surgery group (93.33%), and the difference was not statistically significant ( p &gt; 0.05 ).The aesthetic effect scores of patients in minimally invasive surgery group were higher than those in routine surgery group in seven items: proximal gingival papilla, distal gingival papilla, labial gingival margin curvature, labial gingival margin height, root convexity, soft tissue color, and soft tissue texture, with statistical significance ( p &lt; 0.05 ).The satisfaction scores of the patients in minimally invasive surgery group in chewing function, comfort, aesthetics, retention function, and language function were higher than those in conventional surgery group, and the differences were statistically significant ( p &lt; 0.05 ).Conclusion.Minimally invasive implant can achieve the same effect as conventional implant, and it has the advantages of lower postoperative swelling, shorter pain time, better aesthetic effect, and higher satisfaction after restoration.

Journal: Emergency Medicine International (2023)
Publication types: Clinical Study;
Clinical Application of a Safe Blood Sampling Device with an Indwelling Needle

The traditional indwelling needle catheter is hard and can only complete one puncture at a time.The safety and indwelling needle catheter is soft, with a large lumen, with high success rate of blood collection, and one puncture completes two operations, so it is of important value and significance to study the new safety and indwelling needle.To explore the clinical utility of a novel blood collection device with indwelling needle for blood collection among pediatric patients.Methods.A total of 300 children who were admitted to the children’s hospital from march to june 2020 were selected and randomly divided into the control group (148) and the observation group (152).The control group received venipuncture using regular needles for infusion and blood collection.For the observation group, a modified indwelling needle device was used for the procedures.Comparisons were made between the two devices in five aspects: blood sample quality, operation time, needlestick incidence, related complications, and patient satisfaction.Results.There was no significant difference in coagulation rate between the two groups, but slightly lower overall hemolysis incidence in the observation group.The unqualified rate of blood specimens collected in the observation group was 10.0% lower than that in the control group ( p &lt; 0.05 ).Shorter operation time, lower incidence of needlestick injuries, and improved satisfaction were observed in the group using the novel blood collection device.Conclusions.This modified blood collection device is superior to the regular venipuncture needle, in terms of safety, efficiency, and patient satisfaction; thus, it has potential for broad clinical applications for infusion and blood collection.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Clinical Study;
Classification of Myopathy and Amyotrophic Lateral Sclerosis Electromyograms Using Bat Algorithm and Deep Neural Networks

Electromyograms (emg) are a recorded galvanic action of nerves and muscles which assists in diagnosing the disorders associated with muscles and nerves.The efficient discrimination of abnormal emg signals, myopathy and amyotrophic lateral sclerosis, engage crucial role in automatic diagnostic assistance tools, since emg signals are nonstationary signals.Hence, for computer-aided identification of abnormalities, extraction of features, selection of superlative feature subset, and developing an efficient classifier are indispensable.Initially, time domain and wigner-ville transformed time-frequency features were extracted from abnormal emg signals for experiments.The selection of substantial characteristics from time and time-frequency features was performed using bat algorithm.Extensively, deep neural network classifier is modelled for selected feature subset using bat algorithm from extracted time and time-frequency features.The performance of deep neural network exerting selected features from bat algorithm was compared with conventional artificial neural network.Results demonstrate that the deep neural network modelled with layers 2 and 3 ( neurons = 2 and 4) using time domain features is efficient in classifying the abnormalities of emg signals with an accuracy, sensitivity, and specificity of 100% and also exhibited finer performance.Correspondingly, the developed conventional single layer artificial neural network ( neurons = 7 ) with time domain features has shown an accuracy of 83.3%, sensitivity of 100%, and specificity of 71.42%.The work materializes the significance of conventional and deep neural network using time and time-frequency features in diagnosing the abnormal signals exists in neuromuscular system using efficient classification.

Journal: Behavioural Neurology (2022)
Publication types: Research Article;
Display and Analysis of Virtual 3D Technology in Interior Design

People are not satisfied with the two‐dimensional technology, and three‐dimensional virtual technology gradually enters every aspect of people’s daily life: medical treatment, education, social interaction, vision, and so on.Virtual 3d technology brings a lot of convenience to people’s lives and plays a core role in indoor scene design and layout.It enables users to see their own virtual indoor furniture and vegetation layout in advance and select and modify their own needs.We put forward several characteristics of indoor furniture selection and placement, such as no space restriction, interactivity and fault tolerance, and advanced display.We construct the basic algorithm of image transformation registration detection and finally optimize the basic algorithm with three different deep learning algorithm models, and get that the convolution layer neural network algorithm is superior to the other two models not only in the selection and placement of virtual furniture but also in the layout design of virtual vegetation landscape.Finally, for image defect detection, we compare the time cost of three models, which further shows that the convolution layer combined with image transformation technology model is fast and efficient.

Journal: Journal of Sensors (2023)
Publication types: Research Article;
Correlation Analysis between Sports and Antiaging Based on Medical Big Data

With the aging of the population in china and even in the world becoming more and more serious, china has become the country with the largest proportion of the elderly population, and a series of social problems such as health and medical care brought about by aging are being actively responded by policies.Aging has also become a natural law that human beings cannot break free from.Although exercise cannot reverse the aging process, it can weaken the adverse effects caused by aging.Having good physical quality, keeping a happy mood, comfortable living environment, and friendly social relations are the secret recipe for prolonging life and resisting cell aging.On the contrary, if physical and mental exhaustion, various chronic diseases, negative life events, bad living environment, and social relations will seriously affect human life and quality of life.Sports promote the metabolism of the whole body.Exercise can stabilize blood sugar, avoid cardiovascular diseases, and even get a good mood.At the cellular level, exercise facilitates the transmission and absorption of nutrients, thus making tissues healthier to cope with the stress of daily life.According to the statistics of loving sports and not loving sports through medical big data, the physical fitness and cell health of the elderly who love exercise every day are better than those who do not love sports.Sports are controlled by the central nervous system, and there is a correlation between changes in motor ability and cognitive impairment.Aging is accompanied by the deterioration of skeletal muscle quality and strength, which is mainly due to the rapid degradation and slow synthesis of protein in skeletal muscle.Therefore, exercise is one of the most effective ways to delay the aging of muscles and bones.According to the great potential value of medical big data, this paper analyzes and explains the correlation between sports and antiaging.

Journal: Journal of Sensors (2022)
Publication types: Research Article;