syedzayyan/paper_mill_benchmark huggingface dataset:
Enhancing Orthopedic Surgery and Treatment Using Artificial Intelligence and Its Application in Health and Dietary Welfare

The current decade has seen an increased usage of high-end digital technologies like machine learning in the field of health care services which enable in supporting and performing different functions with less or no human interventions.The application of machine learning tools in the orthopedic area is gaining more popularity as it can support in analyzing the issues in a more comprehensive manner, provide accurate data, support in forecasting the pattern.It enables offering critical information for taking quick decisions by the medical practitioners in order to enhance the health and dietary care service delivery.The ml tools can support in collecting patient centric data related to orthopedic surgery and also estimate the postoperative complications, level of treatment modalities to be provided, and guide the medical practitioners in taking effective clinical device decisions.The ml approach also supports in providing prediction methods of implementing the ortho surgical outcomes.Furthermore, it can also guide in making better treatment procedures, forecast the patterns, and stream the health care management services for better patient recovery.This study implements a quantitative research approach which will support in sourcing the data from the respondents who are currently working as medical practitioners, orthopedic experts, and radiologists who use ml-based models in making critical decisions related to orthopedic surgery.The researchers chose nearly 149 respondents, and the information was analysed using the ibm spss package for gaining critical interpretation.The major analyses cover descriptive analysis, regression analysis, and analysis of variances.

Journal: Journal of Food Quality (2022)
Publication types: Research Article;
Human Posture Recognition and Estimation Method Based on 3D Multiview Basketball Sports Dataset

In traditional 3d reconstruction methods, using a single view to predict the 3d structure of an object is a very difficult task.This research mainly discusses human pose recognition and estimation based on 3d multiview basketball sports dataset.The convolutional neural network framework used in this research is vgg11, and the basketball dataset image net is used for pretraining.This research uses some modules of the vgg11 network.For different feature fusion methods, different modules of the vgg11 network are used as the feature extraction network.In order to be efficient in computing and processing, the multilayer perceptron in the network model is implemented by a one‐dimensional convolutional network.The input is a randomly sampled point set, and after a layer of perceptron, it outputs a feature set of n × 16.Then, the feature set is sent to two network branches, one is to continue to use the perceptron method to generate the feature set of n × 1024, and the other network is used to extract the local features of points.After the rgb basketball sports picture passes through the semantic segmentation network, a picture containing the target object is obtained, and the picture is input to the constructed feature fusion network model.After feature extraction is performed on the rgb image and the depth image, respectively, the rgb feature, the local feature of the point cloud, and the global feature are spliced and fused to form a feature vector of n × 1152.There are three branches for this vector network, which, respectively, predict the object position, rotation, and confidence.Among them, the feature dimensionality reduction is realized by one‐dimensional convolution, and the activation function is the re lu function.After removing the feature mapping module, the accuracy of vc‐cnn_v1 dropped by 0.33% and the accuracy of vc‐cnn_v2 dropped by 0.55%.It can be seen from the research results that the addition of the feature mapping module improves the recognition effect of the network to a certain extent

Journal: Complexity (2021)
Publication types: Research Article;
Empirical Research on Seasoned Equity Offerings, Board Member Characteristics, and Corporate Investment Efficiency

Seasoned equity offerings (seo) are an important approach for listed companies to obtain funds after an initial public offering (ipo), which plays a major role in enterprises’ demand for funds.However, due to agency conflicts, information asymmetry, tunneling by major shareholders, and other behaviors, listed companies sometimes fail to make proper use of the refinancing funds.In this study, the impact of seo on corporate investment efficiency is tested.Furthermore, the impact of board member characteristics on investment efficiency of refinancing companies is tested.Refinancing listed companies in shenzhen and shanghai exchange stock from 2009 to 2020 form the research samples.The research shows that seo reduces the corporate investment efficiency.According to the impact analysis of the board member characteristics on the investment efficiency of refinancing companies, age heterogeneity of the board inhibits investment efficiency.The older the mean age of directors, the higher the investment efficiency.Furthermore, sex heterogeneity also inhibits investment efficiency.The more female directors, the lower the investment efficiency.Moreover, overseas backgrounds and experiences of directors also inhibit investment efficiency.These findings not only extend the research on the consequences of seo in china, but also provide reference points and guidance for listed companies to adopt a scientific and reasonable refinancing method, give full play to the advantages, and overcome disadvantages of board members.

Journal: Discrete Dynamics in Nature and Society (2022)
Publication types: Research Article;
Elevated CEA and CA 19-9 Levels within the Normal Ranges Increase the Likelihood of CRC Recurrence in the Chinese Han Population

This study aimed to determine if variations in the expression profiles of ca 19-9 and carcinoembryonic antigen (cea) within the reference range could serve as possible biomarkers for postoperative crc recurrence.Method.This retrospective cohort investigation enrolled 2,596 cases of crc that received curative surgery.Serum cea/ca 19-9 were measured through chemiluminescence immunoassay (clia).Results.During follow-up (median follow-up = 5.2 years), in total, 837 patients experienced recurrence.The fully adjusted hazard ratios (hrs) were significantly higher, ≥1 standard deviation (±sd), in patients with upregulated cea/ca 19-9 levels ( hrcea = 7.06 ; hrca 19 − 9 = 3.98 ) than in those with downregulated cea/ca 19-9 levels.The likelihood of recurrence remained consistently greater in cases of elevated cea/ca 19-9 levels during sensitivity analyses.Conclusions.The findings of this analysis showed that variations in cea/ca 19-9 expression profiles within the reference range impact crc recurrence.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Electronic Healthcare Data Record Security Using Blockchain and Smart Contract

An electronic health record (ehr) is a technology that allows you to keep track of your health information.It keeps computerized records of several healthcare organizations.Records are exchanged via enterprise-wide data systems as well as other networking technologies and exchanges.Patients nowadays expect immediate access to their health information.However, the health sector comes with immediate access to data, and there are worries about the privacy and security of medical records of patients.As a result, a blockchain-based solution can assist in resolving this issue.The blockchain has the potential to beat the conventional centralized system, which suffers from a severe lack of accessibility.This is a decentralized technology that has recently been presented to provide a new viewpoint on data security and system efficiency.This paper presents a blockchain-based system that helps the patient’s data be managed and secured into a single record held by the patient.This system was developed using the ethereum network using ganache, as well as programming languages, tools, and techniques such as solidity and web3.js.The measured approach suggested in this paper uses this platform to store patients’ data and execute functions in a decentralized system using blockchain smart contracts.Transactions are communicated through the smart contract once it has been launched, providing security and privacy features.Furthermore, the transaction’s desired alterations can be verified and transmitted to the entire distributed network.There is also a cryptocurrency wallet (meta mask) that holds a centrally controlled, private information system in which records can be quickly accessed and secured by authorities.Doctors and patients can access the system through the wallet.Moreover, all the data of the doctor and patient will be secured and managed through this system.This proposed system is aimed at doing things such as the following: blockchain technology allows users to obtain the same data at the same time, increasing efficiency, developing credibility, and reducing barriers.It enables the secure storage of data by setting specific access for users.Additionally, this proposed system facilitates the secure transfer of patient medical records.Finally, this paper describes a health-record system and a new protocol that are quick and secure to use.It allows greater openness and ownership of sensitive data to be recorded and secured and also promotes the healthcare sector with blockchain.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Efficient and Secure Key Management and Authentication Scheme for WBSNs Using CP-ABE and Consortium Blockchain

Wireless body sensor networks (wbsns) pose significant security and privacy risks.The medical server (ms) will only allow legitimate stakeholders access to confidential patient medical records when successful mutual authentication between all registered users and the ms has been confirmed using preset secret attributes.This paper proposes a novel approach to overcome the security and privacy problems in wbsns by using cp-abe and a consortium blockchain for key management and authentication.In this paper, a fixed-size session key is computed by utilizing several attribute base rules and and/or logic gate combinations.Ieee 802.15.6 is also used to transmit the encoded patient data from the register and legitimately deployed biosensor nodes on a patient’s body to the base station nearby (bs).This was done in part by leveraging consortium blockchains to construct partial blocks and then, transmit the encrypted partial blocks to ms via peer-to-peer networks, as well as aggregating critical physiological information.Ms is now validating partial blocks with a hash function to ensure their integrity before converting them all into full blocks, which are subsequently mined and put on the blockchain effectively and ideally using a consensus mechanism.When sessions between ms and stakeholders are established, all legitimate consumers can view the secure medical records of a registered patient in a hospital using their predefined access structure..The resource-constrained environment of wbsns can benefit from enhanced data security and privacy by using cp-abe in conjunction with the organization’s consensus to encrypt the patient’s critical features or attributes.Automated validation of internet security protocol and applications (avispa) tool is used to verify the validity and correctness of the proposed authentication mechanism.The proposed scheme reduces transmission, processing and storage costs and energy usage by a significant margin when compared to current state-of-the-art alternatives.It is also worth noting that a multicriteria decision making (mcdm) approach known as evaluation based on distance from average solution (edas) is employed to provide the ranking and determine which strategy is optimal across all of the domains involved.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Effects of Free Amino Acids, Metallothionein, and Chemical Forms of Heavy Metals on the Accumulation and Detoxification of Cadmium and Chromium in Chinese Goldthread (Coptis chinensis Franch.)

Chinese goldthread (coptis chinensis franch.) is an important medicinal plant worldwide.However, its clinical safety is negatively impacted by high cadmium (cd) and chromium (cr) levels.Understanding the accumulation pattern and detoxification mechanism of heavy metals, such as cd and cr, is important for regulating their transportation and reducing their accumulation in plants.Free amino acids (faas), metallothioneins, and chemical forms of heavy metals are closely associated with heavy metal accumulation and detoxification mechanisms.In the present study, we evaluated the uptake of cd and cr in chinese goldthread and characterized the changes in faa levels, cc mt2, a metallothionein gene, expression under cd and cr stress, and cr chemical forms in various tissues of chinese goldthread.The majority of cd and cr was retained in the roots; this might be the tolerance strategy utilized by chinese goldthread to protect the aboveground photosynthetic tissues.A chemical continuous extraction method was utilized to analyze the chemical forms of cr, and the results suggested that cr was primarily fixed by oxalate in all tissues, and after cr treatment, cr tended to combine with phosphate to form an insoluble complex that reduced the toxicity and bioavailability of cr in chinese goldthread.The accumulation of cd and cr was significantly positively correlated with valine, histidine, threonine, tyrosine, and serine levels and significantly negatively correlated with glutamic acid and alanine levels.The variation in proline levels under cd stress was different than that under cr stress.Faas might affect the accumulation of and resistance to cd and cr through various detoxification strategies, such as chelation with heavy metals ions and conversion into the required products.Furthermore, cc mt2 was isolated for the first time and found to be dominantly expressed in leaves.Cc mt2 was induced under cd and cr stress in all plant tissues, indicating its role in the accumulation of and tolerance to cd and cr.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Effects of Fibulin-5 Gene Silencing on Proliferation and Apoptosis of IgG4-ROD Lacrimal Gland Fibroblasts

This study is aimed at discussing the value of rna interference technology on inhibiting lacrimal gland fibrosis in ig g4-related ocular disease (ig g4-rod).Methods.Six patients with ig g4-rod who came to the hospital for surgical treatment from october 2018 to august 2019 were selected, and their diseased lacrimal glands were taken for primary cell culture and fibroblast identification.High efficiency and specificity small interference rna (si rna) plasmid vector was constructed, its inhibitory effect on fibroblast proliferation was determined by cck-8 assay, and the appropriate concentration was selected as the si rna concentration for subsequent experiments.Rt-pcr and western blot detected the relative expression levels of fibulin-5 m rna and protein in the cells 48 hours after transfection.The apoptosis rate of each group of cells at 24 hours, 48 hours, and 72 hours after transfection was detected by flow cytometry, and the proliferation and apoptosis of cells after silencing fibulin-5 were analyzed and compared.Results.24 hours after transfection, there was no significant difference in the proliferation rate among the four groups ( p &gt; 0.05 ); 48 hours and 72 hours after fibulin-5 si rna transfection, the proliferation activity of the transfected cells was significantly decreased compared with the 0 n m group, and the inhibitory effect of 75 n m si rna was the strongest.The expression of fibulin-5 m rna and protein in the si rna-transfected cells was significantly decreased compared with the blank and empty vector negative si rna groups, and the difference was statistically significant ( p &lt; 0.05 ).The apoptosis rate of cells in the fibulin-5 si rna transfection group was significantly higher than that of cells in the blank and empty vector negative si rna groups, and the difference was statistically significant ( p &lt; 0.05 ).Conclusion.Fibulin-5 si rna recombinant plasmid can significantly downregulate the m rna and protein expressions of target gene fibulin-5 and promote apoptosis after transfection into ig g4-rod lacrimal gland fibroblasts.It is speculated that fibulin-5 can be used as a target to effectively inhibit the fibrosis of lacrimal gland tissues by rnai technique.

Journal: Stem Cells International (2023)
Publication types: Research Article;
Effects of Different Soil Modifiers on Salt Improvement and Distribution, Crop Growth of the Gully Land Consolidation on Loess Plateau

Due to the strong evaporation and leakage loss, secondary saline-alkali was the main problem in the watershed of gully land consolidation on loess plateau.Through field farming experiments, five modifiers (maize stalk (ms), humus acid (ha), yan ke (yk), he kang (hk), and nanobiochar (nb)) were studied to investigate the effects of these soil modifiers on soil water and salt distribution, leaf photosynthetic characteristics, and maize growth and yields, as well as economic benefits in secondary saline-alkali soils of gully land consolidation watershed on loess plateau in 2019 and 2020.The results showed that soil modifiers could increase the water-holding capacity of the soil, reduce the salt content of the soil profiles, and decompose the accumulation of salt.The maximum desalination rate obtained in 2019 and 2020 increased, respectively, by 71.57% and 46.02%, compared to that in the control treatment.Soil modifiers could increase the net photosynthetic rate (pn), transpiration rate (tr), stomatal conductance (gs), and decreased the intercellular co2 concentration (ci).The output increased by 13.63%-31.84%, and revenue increased by 6.48%-38.01%.According to analyzing the production of soil modifier application, we found that the highest net profit was achieved when hk application rate was 52.4 kg/ha.Therefore, this study suggested that 52.4 kg/ha might be recommended as an appropriate soil modifier application strategy to deal with crop growth and improve economic benefit in secondary saline-alkali soils of northwest china.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Effect of High-Quality Nursing Care on Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease Complicated with Respiratory Failure: An Observational Cohort Study

To investigate the efficacy of high-quality nursing care on patients with acute exacerbation of chronic obstructive pulmonary disease (aecopd) complicated with respiratory failure.Methods.A total of 84 aecopd patients were included in this study.Lung function indexes, nursing satisfaction, and arterial blood gas index were collected to assess the efficacy of high-quality nursing care on patients with acute chronic obstructive pulmonary disease complicated with respiratory failure.Results.The level of lung function after treatment had a statistical difference between the two groups ( p &lt; 0.05 ).On other hand, the nursing satisfaction is improved in the observation group.The pa co2 and pa o2 level was improved after treatment; there was statistical significance ( p &lt; 0.05 ).Conclusion.High-quality nursing intervention has good therapeutic effect on acute exacerbation of copd complicated with respiratory failure.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Effect of Compound Polyethylene Glycol Electrolyte Powder on the Quality of Gastrobowel Preparation before Enteroscopy Intervention

To study the effect of compound polyethylene glycol electrolyte powder (pgep) on the quality of gastrobowel preparation before enteroscopy intervention.Methods.From march 2021 to january 2022, among the patients who needed enteroscopy in our hospital, 280 patients who volunteered for this study were randomly selected as the research objects.All the subjects were randomly divided into the control group (140 cases) and the observation group (140 cases).Both groups received routine treatment before enteroscopy intervention.On this basis, patients in the control group were given 9 g of senna every day before operation, and 250 ml of 20% mannitol and 2500 ml of water were taken orally from 9:00 am to 11:00 am on the day of examination.Patients in the observation group took pgep orally from 9:00 am to 11:00 am.The effective rate of bowel cleaning, the frequency of defecation and duration of diarrhea, the levels of blood electrolyte indexes such as na+, k+, and cl− before and after the intervention, and the incidence of adverse reactions were compared between the two groups.Results.The effective rate of bowel cleaning in the observation group was significantly higher than that in the control group ( p &lt; 0.05 ).The frequency of defecation and duration of diarrhea in the observation group were significantly lower than those in the control group ( p &lt; 0.05 ).Compared with the control group, the levels of blood electrolyte indexes in the observation group after the intervention were not statistically significant ( p &gt; 0.05 ).The incidence of adverse reactions in the observation group was significantly lower than that in the control group ( p &lt; 0.05 ).Conclusion.Using pgep for gastrobowel preparation before enteroscopy intervention can achieve high bowel cleaning efficiency, short bowel preparation time, and low incidence of adverse reactions, which does not affect the water-electrolyte balance of patients, and the psychological state of patients before enteroscopy intervention is more stable.This program is worthy of clinical promotion.

Journal: Emergency Medicine International (2022)
Publication types: Research Article;
EEG Emotion Recognition Based on Temporal and Spatial Features of Sensitive signals

Currently, there are some problems in the electrocorticogram (eeg) emotion recognition research, such as single feature, redundant signal, which make it impossible to achieve high-precision recognition accuracy when used a few channel signals.To solve the abovementioned problems, the authors proposed a method for emotion recognition based on long short-term memory (lstm) neural network and convolutional neural network (cnn) combined with neurophysiological knowledge.First, the authors selected emotion-sensitive signals based on the physiological function of eeg regions and the active scenario of the band signals, and then merged temporal and spatial features extracted from sensitive signals by lstm and cnn.Finally, merged features were classified to recognize emotion.The method was experimented on the deap dataset, the average accuracy in the valence and arousal dimensions were 92.87% and 93.23%, respectively.Compared with similar studies, it not only improved the recognition accuracy, but also greatly reduced the calculation channel, which proved the superiority of the method.

Journal: Journal of Electrical and Computer Engineering (2022)
Publication types: Research Article;
Numerical Simulation of Micromixing of Particles and Fluids with Galloping Cylinder

Micromixers are significant segments inside miniaturized scale biomedical frameworks.Numerical investigation of the effects of galloping cylinder characteristics inside a microchannel newtonian, incompressible fluid in nonstationary condition is performed.Governing equations of the system include the continuity equation, and navier–stokes equations are solved within a moving mesh domain.The symmetry of laminar entering the channel is broken by the self-sustained motion of the cylinder.A parameter study on the amplitude and frequency of passive moving cylinder on the mixing of tiny particles in the fluid is performed.The results show a significant increase to the index of mixing uses of the galloping body in biomedical frameworks in the course of micro-electromechanical systems (mems) devices.

Journal: Symmetry (2020)
Publication types: Research Article;