syedzayyan/paper_mill_benchmark huggingface dataset:
On the Temperature Indices of Molecular Structures of Some Networks

The topological index is a molecular predictor that is commonly supported in the research of qsar of pharmaceuticals to numerically quantify their molecular features.Theoretical and statistical study of drug‐like compounds improves the drug design and finding work‐flow by rationalizing lead detection, instant decision, and mechanism of action comprehension.Using molecular structure characterization and edge segmentation technique, we computed the general temperature topological indices for otis networks.

Journal: Journal of Mathematics (2022)
Publication types: Research Article;
Nursing Skill Assessment of Hospital Nurses in Management of Critically Ill Patients

To analyze the application of standardized nursing procedures in critically ill patients’ nursing evaluation.Methods.90 cases of critically ill patients aged from 18 to 65 who were treated in our hospital from april 2020 to april 2021 were selected and divided into the control group and observation group, respectively, with 45 cases according to the drawing method.The rescue time, blood pressure, heart rate before and after nursing, adverse mood, length of stay, incidence of adverse events, icu transfer and death, and satisfaction of 2 groups were statistically analyzed and compared.Results.The rescue time of cardiopulmonary resuscitation, oxygen inhalation, venous opening, and endotracheal resuscitation in the observation group was 3.24 ± 1.01 , which is lower than that in the control group, 6.65 ± 2.11 , with statistical significance ( p &lt; 0.05 ).Similarly, the vital signs in the observation group were 2.45 ± 0.44 , which is also significantly lower than that in the control group, 5.67 ± 1.56 .After nursing, the blood pressure and heart rate in the observation group were lower than those in control group, with statistical significance ( p &lt; 0.05 ).The adverse mood of the observation group after nursing was lower than that of the control group, with statistical significance ( p &lt; 0.05 ).The length of stay, incidence of adverse events, intensive care unit (icu) transfer, and death in the observation group were lower than those in the control group, with statistical significance ( p &lt; 0.05 ).The length of stay in the observation group was 8.87 ± 2.11 , while 11.34 ± 2.45 in the observation group.The incidence of adverse events in the observation group was 1, while 8 in the observation group.The length of stay in the observation group was 8.87 ± 2.11 , while 11.34 ± 2.45 in the observation group.The icu transfer in the observation group were 2, while 9 in the observation group.There was no death in the observation group, however, 4 in the observation group.Nursing satisfaction in the observation group was higher than that in the control group, with statistical significance ( p &lt; 0.05 ).The number of patients that are very satisfied in the observation group was 28, while 20 in the control group.The number of patients that are satisfied in the observation group was the same as in the control group, both 15.However, the number of patients that are dissatisfied in the observation group was 2, while 10 in the control group.Conclusion.The application of the standardized nursing process in the nursing of critically ill patients can not only effectively reduce the self-rating anxiety scale (sas) and sarcoidosis diagnostic score (sds) of patients but also reduce the incidence of complications and improve the nursing satisfaction of patients.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Nursing Value Analysis and Risk Assessment of Acute Gastrointestinal Bleeding Using Multiagent Reinforcement Learning Algorithm

Gastrointestinal bleeding (gib) indicates an issue in the digestive system.Blood can be found in feces or vomiting; however, it is not always visible, even if it makes the stool appear darkish or muddy.The bleeding can range in harshness from light to severe and can be dangerous.It is advised that nursing value analysis and risk assessment of patients with gib is essential, but existing risk assessment techniques function inconsistently.Machine learning (ml) has the potential to increase risk evaluation.For evaluating risk in patients with gib, scoring techniques are ineffective; a machine learning method would help.As a result, we present а unique machine learning-based nursing value analysis and risk assessment framework in this research to construct a model to evaluate the risk of hospital-based interventions or mortality in individuals with gib and make a comparison to that of other rating systems.Initially, the dataset is collected, and preprocessing is done.Feature extraction is done using local binary patterns (lbp).Classification is performed using a fuzzy support vector machine (fsvm) classifier.For risk assessment and nursing value analysis, machine learning-based prediction using a multiagent reinforcement algorithm is employed.For improving the performance of the proposed system, we use spider monkey optimization (smo) algorithm.The performance metrics like classification accuracy, area under the receiver-operating characteristic curve (auroc), area under the curve (auc), sensitivity, specificity, and precision are analyzed and compared with the traditional approaches.In individuals with gib, the suggested technique had a good–excellent prognostic efficacy, and it outperformed other traditional models.

Journal: Gastroenterology Research and Practice (2022)
Publication types: Research Article;
Nonlinear Identification of PMSM Rotor Magnetic Linkages Based on an Improved Extended Kalman Filter

The permanent magnet synchronous motor (pmsm) has complex nonlinear, strongly coupled characteristics and the variation of motor parameters makes its control more difficult.Therefore, parameter identification is of great significance for the stable operation of its closed-loop control system.In this paper, a method based on an improved extended kalman filter (ekf) for the identification of the rotor flux ( ψ f ) of a permanent magnet synchronous motor is investigated for this nonlinear and strongly coupled model.Simulation results show that the method has a more fast convergence rate and more accurate identification result than traditional ekf algorithm.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Multimodal Medical Image Fusion of Positron Emission Tomography and Magnetic Resonance Imaging Using Generative Adversarial Networks

Multimodal medical image fusion is a current technique applied in the applications related to medical field to combine images from the same modality or different modalities to improve the visual content of the image to perform further operations like image segmentation.Biomedical research and medical image analysis highly demand medical image fusion to perform higher level of medical analysis.Multimodal medical fusion assists medical practitioners to visualize the internal organs and tissues.Multimodal medical fusion of brain image helps to medical practitioners to simultaneously visualize hard portion like skull and soft portion like tissue.Brain tumor segmentation can be accurately performed by utilizing the image obtained after multimodal medical image fusion.The area of the tumor can be accurately located with the information obtained from both positron emission tomography and magnetic resonance image in a single fused image.This approach increases the accuracy in diagnosing the tumor and reduces the time consumed in diagnosing and locating the tumor.The functional information of the brain is available in the positron emission tomography while the anatomy of the brain tissue is available in the magnetic resonance image.Thus, the spatial characteristics and functional information can be obtained from a single image using a robust multimodal medical image fusion model.The proposed approach uses a generative adversarial network to fuse positron emission tomography and magnetic resonance image into a single image.The results obtained from the proposed approach can be used for further medical analysis to locate the tumor and plan for further surgical procedures.The performance of the gan based model is evaluated using two metrics, namely, structural similarity index and mutual information.The proposed approach achieved a structural similarity index of 0.8551 and a mutual information of 2.8059.

Journal: Behavioural Neurology (2022)
Publication types: Research Article;
Navigation Control Method of Indoor Mobile Robot Based on Visual Servo

In order to improve the navigation control effect of indoor mobile robot, this paper studies the navigation control method of indoor mobile robot combined with visual servo technology.For the problem that the target may be out of the camera’s field of view during the servo process, a control algorithm with field-of-view constraints is proposed, which assigns a certain weight to the image feature error at each moment.Moreover, this paper realizes the servo process that the image features are always located in the field of view by setting the variable values involved in the weight value calculation method.Through the simulation test, it is verified that the indoor mobile robot navigation control method based on visual servo has certain effects.

Journal: International Journal of Antennas and Propagation (2022)
Publication types: Research Article;
Modelling of Metal Removal Rate in Copper Alloy Milling Using MATLAB

The copper found in earth’s soil ranks fourth in abundance among structural metals.Copper alloys are composed of copper and other elements.Most commonly, these alloys are used in aerospace, medical, and energy applications, but they are also used in many other areas.The amount of the stabilizing agents and the temperature determine which phase copper alloys exist in, including α, α + β, and β.The temperature in the cutting zone is one of the most important factors to control when machining copper alloys.Copper alloys have low thermal conductivity and high heat capacity, meaning that they have low heat conduction from the cutting zone, which leads to the built-up heat in the cutting edge.As the workpiece and cutting tool moves at different speeds, the temperature is strongly affected by the cutting speed.The physical and chemical properties of tool wear progression have been used in several studies and research projects to model tool life and metal removal as a result of this fact.The focus of this article is on establishing a model connecting cutting parameters and measured responses in terms of tool life, using the design of experiments and metamodeling to establish a model that can be used to predict tool life from milling experiments.In order to secure reliable machining operations, these models were designed for customer recommendation and cutting data optimization.The study focused on copper alloys 6al-4v, the most common being α + β alloy.In conclusion, the two models developed in this study are able to predict the tool life based on the cutting speed and radial width of cuts.As long as certain parameters are met, the models will ensure the highest possible metal removal rate.

Journal: International Journal of Antennas and Propagation (2022)
Publication types: Research Article;
Modeling the Temperature Field of the Microwave Heating Asphalt Mixture with the Utilization of a Mathematical Model

Microwave heating asphalt mixture is an auspicious method since it requires a minimum level of outside intervention.It has been a recent method with some certain advantages over conventional ones.To obtain the temperature field of microwave heating asphalt mixture utilizing an oblique horn antenna, the aperture field of the oblique horn antenna was deduced based on the maxwell equations.The three-dimensional mathematical model of a microwave heating asphalt mixture was established by introducing a position relation of the horn caliber called an oblique horn antenna, and the calculation results were simplified and verified by experiments.The results showed that the calculated values of the mathematical model tally with the experimental outcomes.The model is found to be accurate and reliable.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
miR-4780 Derived from N2-Like Neutrophil Exosome Aggravates Epithelial-Mesenchymal Transition and Angiogenesis in Colorectal Cancer

Despite significant advances in diagnostic methods and treatment strategies, the prognosis for patients with advanced colon cancer remains poor, and mortality rates are often high due to metastasis.Increasing evidence showed that it is of significant importance to investigate how the tumor microenvironment participates in the development of colorectal cancer (crc).In this manuscript, neutrophils were sequentially stimulated with all-trans retinoic acid and transforming growth factor-β in turn to induce the neutrophil polarization.Differentially expressed mi rna in neutrophil exosomes have been sequenced by microarray profile, and the effect of n2-like neutrophil-derived exosomal mi r-4780 on epithelial-mesenchymal transition (emt) and angiogenesis was investigated.In our results, we found that neutrophils were enriched in crc tumor tissue and that cd11b expression correlated with tumor site and serous membrane invasion.At the same time, we demonstrated that internalization of n2 exosomes exacerbated the viability, migration, and invasion of crc cell lines and inhibited apoptosis.To further investigate the molecular mechanism, we analyzed the mi rna expression profile in the n2-like neutrophils, which led to the selection of hsa-mi r-4780 for the subsequent experiment.The overexpression of mi r-4780 from n2-like neutrophil-derived exosomes exacerbated emt and angiogenesis.Moreover, mi r-4780 can regulate its target gene sox11 to effect emt and angiogenesis in crc cell lines.Crc with liver metastasis model also validated that aberrant expression of mi r-4780 in n2-like neutrophil exosomes exacerbated tumor metastasis and development of tumor via emt and angiogenesis.In conclusion, our current findings reveal an important mechanism by which m r-4780 from n2-like neutrophil exosomes exacerbates tumor metastasis and progression via emt and angiogenesis.

Journal: Stem Cells International (2023)
Publication types: Research Article;
miR-29c Inhibits Renal Interstitial Fibrotic Proliferative Properties through PI3K-AKT Pathway

Renal fibrosis, in particular tubulointerstitial fibrosis, which is characterized by an increased extracellular matrix (ecm) formation and development in the interstitium, is the common end pathway for nearly all progressive kidney disorders.One of the sources for this matrix is the epithelial to mesenchymal transition (emt) from the tabular epithelium.The driving force behind it is some profibrotic growth factors such as transforming growth factor-β (tgf-β) which is responsible for the formation of collagen in renal fibrosis.Mi r-29c, which is an antifibrotic micro rna, downregulates renal interstitial fibrosis by downregulating the tgf-β and collagen.However, it is not known whether mi r-29c mediates the tgf-β1-driven pi3k-akt pathway and col-1 triggering within nrk-52e cultures.The main objective of this investigation was to examine the influence of mi r-29c on the downregulation of the tgf-β1-driven pi3k-akt pathway and col-1 triggering in nrk-52e cultures.This study revealed that mi r-29c inhibited tgf-β1 expression in nrk-52e cell cultures.Overexpression of mi r-29c significantly inhibits nrk-52e culture proliferation mediated by tgf-β1.Mi r-29c inhibited the expression of col-1 and decreased pi3k/akt phosphorylation.These findings revealed a novel mechanism by which mi r29c inhibits the proliferation of renal interstitial fibrotic cultures by downregulating the pi3k-akt pathway, which is controlled by tgf-β1.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
miR-100-5p Is a Novel Biomarker That Suppresses the Proliferation, Migration, and Invasion in Skin Cutaneous Melanoma

Description.Cutaneous melanoma (skcm) is one of the most common skin malignancies.Mi r-100-5 has been found to highly express micro rnas in a variety of cancers.This is a novel biomarker to inhibit the proliferation, migration, and invasion of cutaneous melanoma.However, its function and potential mechanisms in skcm remain unknown.Objective.To better understand the role and underlying mechanisms of skcm, we conducted bioinformatics analysis and in vivo experiments.Results.We found its role as a tumor suppressor gene in skcm and its effect on prognosis.In addition, this study found that mi r-100-5p had a bidirectional effect on skcm microenvironment.After exploring the relationship between the two, it was found that tumors with intermediate mi r-100-5p expression had the highest level of immune cell infiltration.In addition, the value of mi r-100-5p was assessed by survival analysis, univariate cox regression analysis, and nomogram prognostic prediction.Finally, we constructed a regulatory network to illustrate the regulatory relationship of mi r-100-5p.Conclusions.In conclusion, the antitumor effect of mi r-100-5p is revealed, and the present study is followed by a discussion of its molecular regulatory network, followed by novel insights into skcm therapy.

Journal: Stem Cells International (2022)
Publication types: Research Article;
Mechanism of Drag Reduction in Floating Plate of Paddy Field Based on CFD

In order to study drag reduction mechanism in mud parts’ operation of surface machine tools for paddy field, this paper takes floating plate, the main working part of laminating mechanism, as the research object and systematically analyzes the mechanism of action of elevation angle, curved angle, penetrating angle, and local microstructure of floating plate on working resistance and local fluid flow characteristics of the laminating structure based on vof model in fluent.Using ship mechanics theory and fluid lubrication theory, the drag reduction mechanism under different structural parameters of the floating plate is analyzed.The results show that, compared with the ordinary floating plate, the pressure difference resistance can be reduced by increasing the elevation angle by 60°, curved angle by 20°, and mud separation angle by 20°.The increase of the concave nonsmooth bottom surface structure can reduce viscous frictional resistance, and the total working resistance after structural optimization is comparatively reduced by 48.3%, with lowered hilling height in the forward direction and improved lubrication condition of the bottom surface, forming liquid lubrication effect.This study can provide theoretical references for the optimization design of muddy soil mud parts, mud-machine interaction research, and the development of paddy field laminating mechanism.

Journal: Complexity (2020)
Publication types: Research Article;
Marine Underwater Landscape Image Design Based on Bright Color Compensation and GAN Model Generation

Traditional denoising algorithms cannot effectively deal with these images with different blurriness and color deviation.Especially for underwater operations, the images are not clear, which makes it difficult for operators to act as agents.To solve this problem, this paper proposes a bright color compensation and fusion method.Underwater image enhancement algorithm uses generated countermeasure network (gan).First, the original image is color compensated using the bright channel to obtain a color‐compensated image; then, adaptive contrast stretching is performed on the color‐compensated image to obtain a clear image with high contrast.It can be seen from the experiment that the psnr of the marine landscape map can reach 21.9329, and the ssim can reach 0.7329, which can provide useful help for the field of underwater image enhancement.

Journal: Journal of Sensors (2023)
Publication types: Research Article;
Luminosity Control and Contrast Enhancement of Digital Mammograms Using Combined Application of Adaptive Gamma Correction and DWT-SVD

Enhancement of mammogram images against low-contrast and poor illumination is still a challenge for researchers.Focusing on such issues, this manuscript presents a two-stage enhancement technique for mammogram images.The first stage of the image enhancement deals with illumination control using the corrective-adaptive gamma correction (cagc) approach.In the second stage, contrast enhancement operation on the luminosity-controlled image is incorporated.In order to enhance visual perception against low-contrast, the combined application of discrete wavelet transform (dwt) and singular value decomposition (svd) is incorporated.The experimentation of the proposed technique was performed over a publicly available mini-mias dataset.The proposed technique is evaluated on various quantitative parameters such as pearson correlation coefficient (pcc), universal image quality index (iqi), structural similarity index measurement (ssim), contrast improvement index (cii), average mean brightness error (ambe), and mean absolute error (mae) and obtain the average values of 0.996, 0.912, 0.921, 1.098, 15.732, and 15.624 that are promising results as compared to the other traditional methods.This study also compares the proposed technique with state-of-art methods and achieves better performance, resulting in significant improvement in contrast enhancement and local information preservation of mammogram images.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Investigation of the Relationship between Chronic Endometritis Manifestations under Hysteroscope and CD138 Expression

And objective.Chronic endometritis (ce) displays different manifestations under hysteroscope and yields different cd138 immunohistochemistry (ihc) outcomes.This study was designed to probe links across different ce manifestations under hysteroscopy and the ihc outcome of cd138, as well as the efficacy of antibiotic treatment.Methods.This study was performed to retrospectively analyze clinical cases of 523 ce patients from january 2018 to june 2020 that were confirmed by hysteroscopy before in vitro fertilization.Based on manifestations of ce under hysteroscopy, the cases were divided into three cohorts, i.e., hyperemia cohort where the patients had diffuse endometrium hyperemia; endometrial micropolyp cohort, and endometrial stroma edema and hyperplasia cohort.Small amount of endometrial tissue was collected from the patients, and cd138 ihc examination was performed.According to the results of cd138 ihc, positive patients were given antibiotic treatment (doxycycline 100 mg bid orally for 14 days), and hysteroscopy was performed again after treatment to check the efficacy of antibiotics.Results.In the comparison of overall status for all patient cohorts, infertility type, bmi, b fsh, b lh, b p, b t, prl, amh, and ca125 were varied markedly across all cohorts ( p &lt; 0.05 ), with predominant incidences of polycystic ovary syndrome (pcos) peaking within hyperemia cohort.Incidence/diagnostic rate for cd138 within hyperemia cohort was 10.06%, which was lower than the 63.16% in micropolyp cohort and 74% in edema and hyperplasia cohort ( p &lt; 0.05 ).No major variation existed within cd138 across micropolyp cohort/edema and hyperplasia cohort ( p &gt; 0.05 ).After cd138-positive ce patients were treated with antibiotics, the effective rate (0/16) within hyperemia cohort was lower than micropolyp cohort (73.61%, 53/72) and edema and hyperplasia cohort (83.24%, 154/185) ( p &lt; 0.05 ).The effective rate across micropolyp cohort/edema and hyperplasia cohort was not significantly different ( p &gt; 0.05 ).Conclusion.Cases of diffuse endometrial hyperemia under hysteroscope had the lowest positive rate of cd138, and the effect of antibiotic treatment on these patients was poor.The positive rate of cd138 in patients with endometrial micropolyps and endometrial stroma edema and hyperplasia under hysteroscope was high, and the effect of antibiotic treatment was better.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;