syedzayyan/paper_mill_benchmark huggingface dataset:
Semirigid Ureteroscopy Therapy against Childhood Kidney Stones

The purpose of the current study was to assess the effectiveness of semirigid ureterorenoscopy (urs) as first-line therapy for early childhood patients with &lt;20 mm stones in the pelvic, middle, or upper calices.Methods.In all, 61 pediatric kidney stone patients who had flexible ureteroscopy (f urs) between january 1, 2010, and december 31, 2019, were included in this study.Before f urs, semirigid urs employed the ure tron or holmium: yag (ho : yag) laser was conducted.When semirigid urs was unsuccessful, f urs was used for retrograde intrarenal surgery (rirs).All participants were monitored clinically for a minimum of three months after each procedure.Results.The patient’s mean age was 4.52 ± 1.53 years, and 52 (83.61%) participants underwent semirigid urs successfully.Mean procedural duration of semirigid urs was 36.49 ± 7.72 min.The stone-free rate after semirigid urs was 92.16% (47/51).During the postprocedural medical observation, there were no serious adverse effects.Conclusions.Based on the present study’s findings, semirigid urs is a low-risk, effective therapy for kidney stones in selected pediatric patients.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Selection of Optimum Internal Control Genes for RT-qPCR Analysis of Schisandra chinensis under Four Hormone Treatments

Q rt-pcr technology is now one of the commonly used methods to study gene expression levels.The selection of accurate reference gene detection is an essential work before gene expressing analysis.In the current study, 8 candidate internal control genes (actin, tuba, gapdh, ubc, mub, tip41, apx, and capa) were selected, and four statistical algorithms were used to evaluate their stability under different hormone treatments.The results confirmed that when using one internal control genes, tuba emerged as the first ranking internal control gene in all experimental groups.When using two internal control genes, tuba and mub, were the most acceptable internal control genes for the ga3 treatment group; tuba and gapdh were identified as internal control genes in the iaa treatment group; tuba and actin were the most reliable combination in the zt and aba experimental groups; tuba and tip41 were recommended most suitable control genes in control group.Furthermore, the reliability of the internal control genes was further verified by the expression of gag, a gene related to the development of schisandra chinensis.The conclusion of this work will be helpful for the subsequent research on gene expression analysis of schisandra chinensis.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
The Role of Cognitive Science and Big Data Technology in the Design of Business Information Management Systems

With the surge in the amount of data in the internal and external environment, the collection, analysis, processing, and storage of the increasing data sources and data volume, as well as the problems of big data management, are the current situation and dilemmas of data management faced by enterprises today.Cognitive science and big data technology can provide good auxiliary support for enterprise management decision-making.This study takes the business information management of cold chain logistics enterprises as an example, aiming at the characteristics of business intelligence data in real applications, based on cognitive science and big data technology, from low-cost and high-performance storage, security management, and big data analysis.This paper is mainly through the research of big data processing theory and key technologies.Based on analyzing the logistics industry’s data access rules and characteristics, this study proposes a hot data prediction model for multilayer hybrid storage systems.It is verified that the prediction model has good accuracy, robustness, and universality.For the application scenario of multitenant distributed data access, a data transparent security management model is proposed.Simulation experiments show that this method can realize data security management when the performance loss is controlled within an acceptable range.Based on the real-time computing technology of massive data, the label optimization scheme of collaborative filtering and reinforcement learning is used to realize the logistics distribution recommendation model and to solve the accuracy and real-time problems of logistics service distribution analysis.

Journal: Advances in Multimedia (2022)
Publication types: Research Article;
Seismic Performance Analysis of Fabricated Concrete Beam-Column Joints Based on Intelligent Finite Element Analysis

In order to improve the seismic performance analysis effect of prefabricated concrete beam-column joints, this article uses intelligent finite element analysis technology to analyze the seismic performance of prefabricated concrete beam-column joints.Moreover, this article conducts in-depth research on the shear bearing capacity of the plastic hinge area so as to improve the accuracy of the calculation of the shear bearing capacity of the plastic hinge area.In addition, this article conducts finite element analysis of integral frame joints, uses finite element software to carry out numerical simulation of frame joints, and compares and analyzes the experimental results in the literature.Further, this article proposes an improvement of a prefabricated frame joint, performs finite element analysis on it, and compares and analyzes the numerical simulation results of concrete joints.The analysis results show that the finite element analysis model proposed in this article has high accuracy in the seismic performance analysis of prefabricated concrete beam-column joints, which meets the actual needs of the seismic performance analysis of modern prefabricated concrete beam-column joints.

Journal: Journal of Electrical and Computer Engineering (2022)
Publication types: Research Article;
A Novel Intelligent Hybrid Optimized Analytics and Streaming Engine for Medical Big Data

Medical data processing is exponentially increasing day by day due to the frequent demand for many applications.Healthcare data is one such field, which is dynamically growing day by day.In today’s scenario, an enormous amount of sensing devices and data collection units have been employed to generate and collect medical data all over the world.These healthcare devices will result in big real-time data streams.Hence, healthcare-based big data analytics and monitoring have gained hawk-eye importance but needs improvisation.Recently, machine and deep learning algorithms have gained importance to analyze huge amounts of medical data, extract the information, and even predict the future insights of diseases and also cope with the huge volume of data.But applying the learning models to handle big/medical data streams remains to be a challenge among the researchers.This paper proposes the novel deep learning electronic record search engine algorithm (ersea) along with firefly optimized long short-term memory (lstm) model for better data analytics and monitoring.The experimentations have been carried out using apache spark using the different medical respiratory data.Finally, the proposed framework results are contrasted with existing models.It shows the accuracy, sensitivity, and specificity like 94%, 93.5%, and 94% for less than 5 gb dataset, and also, more than 5 gb it provides 94%, 92%, and 93% to prove the extraordinary performance of the proposed framework.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Scutellarin Loaded on Ultradeformable Nanoliposome Scutellarin EDTMP (S-UNL-E) Promotes Osteogenesis in Osteoporotic Rats

Scutellarin is known as a safe, effective, and low-cost traditional chinese medicine and has a variety of biological activities.Studies reported that the scutellarin loaded on ultradeformable nanoliposome scutellarin edtmp (s-unl-e) could promote osteoblast differentiation and bone formation in vitro.However, its effect on promoting osteogenesis in vivo is still unclear.In this study, pharmacology network and transcriptome sequencing were used to screen the potential targets and pathways of scutellarin in treating osteoporosis.The female sprague-dawley (sd) rats were operated on with bilateral oophorectomy and femoral defect to establish an osteoporosis model and then treated separately with bone dust, single scutellarin, 40 mg/kg ultradeformable nanoliposome scutellarin (s-unl), and the optimal concentration of 40 mg/kg s-unl-e for a total of 56 d to detect the parameters of trabecular bones.And q rt-pcr and western blot were performed to determine the expression of prostaglandin-endoperoxide synthase 2 (ptgs2), alkaline phosphatase (alp), transcription factor 4 (tcf4), and β-catenin.Results of microscopic computed tomography (micro-ct) of trabecular bones showed that single scutellarin, s-unl, and s-unl-e all promoted the bone formation of osteoporotic rats, in which s-unl-e manifested the most remarkable therapeutic effect.And it is found that 40 mg/kg of s-unl-e increased the expression of ptgs2, alp, tcf4, and β-catenin, which indicated that s-unl-e stimulated the secretion of alp in bone defect areas to promote bone healing, and increased ptgs2 expression thereby enhancing the transcription and translation of key gene β-catenin and tcf4 in the wnt/β-catenin signaling pathway to treat osteoporotic rats.

Journal: Stem Cells International (2022)
Publication types: Research Article;
Virtual Simulation Design Facing Smart Payment Screen on the Background of Artificial Intelligence

In recent years, the rapid development of virtual simulation technology has become a hot topic among thousands of people.Virtual simulation has been used in education, transportation, anti-theft, and other fields, but it has not seen its application in the field of intelligent payment.This study designed an intelligent payment screen based on virtual simulation technology and evaluated the relevant performance.The evaluation results found that compared with the traditional payment screen, the use of smart payment screen for payment had the fastest improvement in security and the slowest improvement in usability, an increase of 4.2%; the youth group believed that the convenience of use of the smart payment screen based on virtual simulation technology has improved the fastest.The elderly group believed that the use of the smart payment screen based on virtual simulation technology had the slowest improvement in ease of use, an increase of 9.4%; the average payment time of each place has decreased, the average payment time of place 4 was the longest, and the average payment time of place 6 was the shortest, and it was concluded that the higher the payment success rate was, the shortest payment time was; in terms of the user’s preference for the smart payment screen, it was concluded that 18:00 was the peak period for users to use the smart payment screen; in terms of risk assessment of using smart payment screens, it was concluded that compared with traditional payment screens, operational risk was reduced by 3.88%, credit risk was reduced by 4.67%, liquidity risk was reduced by 5.06%, and settlement risk was reduced by 6.01%.The design of the smart payment screen makes the user’s payment more secure, and the payment risk is greatly reduced.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Spatial Expression of Multifaceted Soft Decoration Elements: Application of 3D Reconstruction Algorithm in Soft Decoration and Furnishing Design of Office Space

In china’s modern market economy under the rapid development of the general situation, we work more and more problems, and work pressure is also increasing.The so-called office space refers to the space layout, style, and the physical and psychological division of the space.Office space must take into account many factors, involving technology, technology, humanities, aesthetics, and other elements, while the office space is the space where people work and relax.In recent years, as people’s requirements for the work environment are increasingly high, therefore, the design of the office space is also more and more attention to people.The concept of soft furnishing design into the work space will help improve the overall corporate and office space design of cultural taste which is one of the main methods to show the quality and human connotation of the enterprise.The three-dimensional reconstruction refers to the creation of a mathematical model suitable for computer display and processing of three-dimensional space objects.It is an important basic tool for data processing, computing, and researching the performance of mathematical models in the computer environment, which can be applied in various fields such as autonomous navigation of mobile robots, aviation and remote sensing computing, industrial monitoring information system, medical imaging, and virtual reality.The 3d environment reconstruction technology has become one of the popular research areas in computer vision and increasingly attracts the attention of design practitioners.This paper takes the 3d environment reconstruction technology of office space soft decoration design as the basis and discusses the important elements and modeling ideas in soft decoration design, which adds to the interior design of office space, and uses kinect to obtain the depth data in the 3d environment, so as to complete the realistic 3d reproduction of the interior environment based on computer vision technology.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Text Knowledge Acquisition Method of Collaborative Product Design Based on Genetic Algorithm

In order to overcome the problems of poor clustering effect and large error of text knowledge acquisition in traditional text knowledge acquisition methods, a new text knowledge acquisition method of collaborative product design based on genetic algorithm is proposed in this paper.The definition of collaborative product design text knowledge clustering is given.According to the operation process of the genetic algorithm, the chromosomes of clustered text are constructed and encoded and the initial population is obtained.The fitness function of clustering is constructed by the db index evaluation method; the selection, crossover, and mutation operators in the genetic algorithm are determined; and the objective function of collaborative product design text knowledge clustering is constructed.After the text knowledge clustering is completed, the text knowledge data of collaborative product design are obtained in an all‐around way by using the method of rough set and neural network.The experimental results show that compared with the traditional text knowledge acquisition methods, the clustering effect of the proposed method is better and the text knowledge error is reduced up to 0.02.

Journal: Journal of Mathematics (2022)
Publication types: Research Article;
Research on the Efficiency of “Dual-Chain” Integration of Talent Chain and Industrial Chain of Vocational Education Based on Big Data Technology

Since china has implemented the policy of “dual-chain” integration of vocational education, the level of vocational education in china has been developed rapidly.In order to study the current efficiency of dual-chain integration of vocational education in china, taking 31 chinese provinces and cities as examples, the dea-bpnn calculation model is used to calculate the efficiency of chinese vocational education from 2010 to 2019, and the results of the study show that although the development of vocational education in china has achieved certain results, the crude development mode, which is mainly based on the increase of investment, has not been fundamentally changed.

Journal: Journal of Electrical and Computer Engineering (2022)
Publication types: Research Article;
Research on the Architecture of Digital Song and Dance Costume Design System Based on Intelligent Deep Learning Algorithm

In order to improve the intelligence and reliability of song and dance costume design, this article combines the intelligent deep learning algorithm to improve the digital costume design process.In order to solve the problem of minimizing the energy of image deformation, this paper proposes to transform it into a sparse matrix to solve the problem, which is solved by constructing a coefficient matrix and multiple iterations.After the algorithm is improved, this article combines the digital intelligence method to construct the digital song and dance costume design system structure based on the intelligent deep learning algorithm and analyzes its work flow.Finally, this paper verifies the method in this paper through feasibility analysis and system performance test.From the experimental results, it can be seen that the digital song and dance costume design system based on the intelligent deep learning algorithm proposed in this article has a good effect in the song and dance costume design.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Research on Oil Painting Layout and Expression Form Based on Multi Data Visual Communication

Multi records visible conversation plan combines modern-day digital technology, offers a new capacity of verbal exchange and a new way of expression for visible verbal exchange design, and has the twin position of innovative notion and reference.The emergence and popularization of visible verbal exchange technology and the integration and utility of visible conversation technological know-how in oil portray introduction are additionally heating up.Combined with multi-information visible conversation science and the strategies of sketching in typical oil portray creation, oil portray advent can continue to play a special creative allure in the visible era and preserve the symbiosis, interplay, and practical transformation of visible subculture represented by using standard portray varieties and images.Aiming at the search for on oil painting design and expression structure based totally completely on multi-information seen communication, this paper analyzes the facts transmission characteristics, seen language characteristics and aesthetic psychological features of multi-information seen verbal trade design.The oil portrays format and expression structure based totally on multi records visible communication.Through experiments and analysis, it is proven that the overall performance of 1500 ms is the fantastic when inspecting the dynamic alternate of time sequence information.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Research on Multiparty Payment Technology Based on Blockchain and Smart Contract Mechanism

As a peer‐to‐peer “p2p” distributed ledger, the blockchain has the advantages of decentralization, no trust, open autonomy, and nontampering.Therefore, many users are willing to conduct transactions in blockchain cryptocurrency systems such as bitcoin and ethereum.However, the throughput of traditional blockchain is extremely low, and the transaction is so delayed.The payment channel network is the most promising solution to expand the blockchain for widespread use.Achieving secure instant payment on the payment channel can significantly increase transaction throughput and reduce transaction delays.When the payment channel is closed, the balance in the channel will be returned to an account on the blockchain.In this paper, we discuss the design and the implementation of a multiparty payment channel network based on smart contracts.Where a two‐party payment channel is designed based on blockchain and smart contracts, a new multiparty payment channel is established on the basis of the payment channel.A detailed definition and description are given, and the creation, update, and closing functions of the multiparty payment channel are designed.Moreover, we design a multiparty payment channel smart contract, deploy it to the local private blockchain, and conduct simulation and testing.The delay time of different transaction methods is counted, and the network topology type, transaction amount, and other factors are studied.The impact of transaction success rate and the gas consumption of different transaction methods are analyzed through multiple sets of experimental statistics.

Journal: Journal of Mathematics (2022)
Publication types: Research Article;
Research on Home Product Design and Intelligent Algorithm Recommendation considering Ergonomics

Under the modern design concept, consider ergonomics to design home products.With the progress of civilization and technology, the improvement of life quality in the process of urbanization, and the increasing abundance of home life and home products, people’s requirements for living environment and environmental products are continuously improving.In order to further meet the necessities of life and solve the reasons such as limited living space at home, people are no longer satisfied with purchasing household products in large quantities but are more suitable for household needs.According to the user’s requirements for ergonomic home product design, a criterion layer is established, and the weight of the criterion layer is calculated to obtain its corresponding weight value.It can be obtained that consumers think that safety is the most important, followed by ease of use, functionality, and aesthetics.In the second criterion level, the order of importance is stable operation, safe use of materials, invisible circuit, strong practicability, massage function, safety guardrail, convenient installation, easy cleaning, intelligent operation, home style, structural strength, easy to move, natural materials, air purification, easy disassembly, suitable size, simple shape, convenient function, timely after-sales, soft color tone, noise reduction, simple decoration, single color matching, and comfortable function.The addition of the nearest neighbors improves the accuracy of the cfcnn-cl algorithm and the repredict pcc algorithm in terms of smart algorithm recommendations for home products considering ergonomics.But compared between the two, the cfcnn-cl algorithm has better performance and better accuracy than the repredict pcc algorithm.In terms of the influence of data sparseness, ucf-jaccard has a smaller mae value than other methods in general and is less susceptible to the influence of sparse data, and the mae value does not change much.Among the group filtering methods, the rrp-uicl method has better prediction accuracy than the commonly used group filtering methods.

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