syedzayyan/paper_mill_benchmark huggingface dataset:
Numerical Simulation of Multifunctional Projectile Penetrating Reinforced Concrete Target Plate Based on Sensor Data Acquisition

The main material of a type of multifunctional warhead is energy-containing material, which mainly relies on the projectile’s own kinetic energy to hit the target plate to achieve the function of penetrating reinforced concrete, so it needs the bullet material to have high strength and be able to withstand the high overload when penetrating reinforced concrete.At present, the composite energy-containing material structure with al, zr, ti, and other materials as ptfe-based reducing agents is the mainstream direction of research on high-strength energy-containing materials.Ls-dyna is used to establish a simulation model to simulate and analyze the tapping power.The relationship curve between material strength and attack depth is established and compared with the experimental data of traditional steel material attack ammunition to finally determine the strength limit of energy-containing material compared with traditional attack ammunition.The simulation results show that the composite energy-containing material multifunctional projectile can accomplish the tapping task of penetrating 1.2 m reinforced concrete under the premise of ensuring that the percentage of w powder is not higher than 80%.This study has a certain reference value for the selection of energy-containing materials for multifunctional warheads.For the low-velocity penetration below 400 m/s, the effect of frictional resistance of the head as well as the sidewall on the penetration depth can be ignored, but the overload curve when considering the sidewall friction is more realistic.Using a combination of experimental and theoretical methods, the influence of the projectile material on the mass erosion of high-speed kinetic energy projectiles was studied, and the jones erosion model based on the thermal melting principle was improved.Based on the cavity expansion theory, the calculation method of the shape evolution of the bullet head was established.The comparison with the experimental results shows that the improved model is applicable to different types of soft and hard materials and can accurately calculate the mass erosion amount, erosion depth, and shape evolution of the bullet head.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Nanoemulsion and Encapsulation Strategy of Hydrophobic Oregano Essential Oil Increased Human Prostate Cancer Cell Death via Apoptosis by Attenuating Lipid Metabolism

Origanum vulgare essential oil (eo) is traditionally well‐known for its aromatic properties and biomedical applications, including anticancer.This was the first report where oregano essential oil‐based nano emulsion (oene) was synthesized for studying its effects on prostate cancer cell lines (pc3).At first, we have synthesized oene and characterized using various spectroscopic analyses.The toxicity and inhibitory concentration (ic 50 ) of oene toward prostate cancer by mtt analysis were performed.The lipid biogenesis mediated, molecular target pathway analyses were performed using fluorescence cellular staining techniques, real‐time rt‐pcr, or western blotting analysis.Oene showed ic 50 at 13.82 μ g/m l and significantly induced distinct morphological changes, including cell shrinkage, cell density, and cell shape reduction.In addition, oene could also significantly decreased lipid droplet accumulation which was confirmed by studying m rna transcripts of 3‐hydroxy‐3‐methylglutaryl‐co a reductase (hmgcr) (0.31‐fold), fatty acid synthase (fasn) (0.18‐fold), and sterol regulatory element‐binding protein (srepb1) (0.11‐fold), respectively.Furthermore, there is a significant upregulation bax (bcl2 associated x) and caspase 3 expressions.Nevertheless, oene decreased the transcript level of bcl2 (b‐cell lymphoma 2), thus resulting in apoptosis.Overall, our present work demonstrated that oene could be a therapeutic target for the treatment of prostate cancer and warrants in vivo studies.

Journal: Bioinorganic Chemistry and Applications (2022)
Publication types: Research Article;
Music Therapy Methods Based on SVM and MLP

Lately, the music therapy is being used widely around the world.Henceforth, this study focuses on the analysis of the music’s effect on fetal heart rate (fhr) curve.To this end, we treated people with music therapy and carried out the experiment.Firstly, 118 people with 32–40 weeks of gestational age who were expecting to give birth were invited to participate in the experiment.There was one control group and three experimental groups: 27 people were in the control group, 32 people were in the experimental group that listened to music for the first 10 minutes and did not listen to music for the second 10 minutes, 29 people were in the experimental group that did not listen to music for the first 10 minutes and listened to music for the second 10 minutes, and 30 people were in the experimental group that listened to music for all 20 minutes.In this paper, a convolutional neural network (cnn) based data processing model for fetal heart rate curves is proposed to improve the accuracy of fetal status assessment.First, the model method divides the high‐dimensional one‐dimensional fetal heart rate (fhr) records into 10 segments and then the characteristics of the fhr are extracted using a feature extraction method based on basic statistics.These features are regarded as input of support vector machine (svm) and multilayer perceptron (mlp) for classification.According to the experimental results, the classification accuracies of svm and mlp are 85.98% and 93.24%, respectively.

Journal: Journal of Mathematics (2022)
Publication types: Research Article;
Multivisual Animation Character 3D Model Design Method Based on VR Technology

For vr systems, one of its core parts is to present people with a real and immersive 3d simulation environment.This paper uses real‐time computer graphics technology, three‐dimensional modeling technology, and binocular stereo vision technology to study the multivisual animation character objects in virtual reality technology; designs a binocular stereo vision animation system; designs and produces a three‐dimensional model; and develops a virtual multivisual animation scene application.The main research content and work performed in the text include the research of the basic graphics rendering pipeline process and the analysis and research of each stage of the rendering pipeline.It mainly analyzes the 3d graphics algorithm used in the three‐dimensional geometric transformation of computer graphics and studies the basic texture technology, basic lighting model, and other image output processes used in the fragment processing stage.Combined with the development needs of the subject, the principles of 3d animation rendering production software and 3d graphics modeling are studied, and the solid 3d model displayed in the virtual reality scene is designed and produced.This article also reflects the application of virtual reality in multivisual animation character design from the side, so it has realistic value and application prospects.

Journal: Complexity (2021)
Publication types: Research Article;
Multisensor Data and Cross-Validation Technique for Merging Temporal Images for the Agricultural Performance Monitoring System

Many approaches for crop yield prediction were analyzed by countries using remote sensing data, but the information obtained was less successful due to insufficient data gathered due to climatic variables and poor image resolution.As a result, current crop yield estimation methods are obsolete and no longer useful.Several attempts have been made to overcome these difficulties by combining high precision remote sensing images.Furthermore, such remote sensing-based working models are better suited to extraterrestrial farmers and homogeneous agricultural areas.The development of this innovative framework was prompted by a scarcity of high-quality satellite imagery.This intelligent strategy is based on a new theoretical framework that employs the energy equation to improve crop yield predictions.This method was used to collect input from multiple farmers in order to validate the observation.The proposed technique’s excellent reliability on crop yield prediction is compared and contrasted between crop yield prediction and actual production in different areas, and meaningful observations are provided.

Journal: Journal of Food Quality (2022)
Publication types: Research Article;
Research on the Application of Visual Sensing Technology in Art Education

It is essential to have a new understanding of the development of visual sensing technology in digital image art at this stage, in order to make traditional art education have new professional ability teaching.Based on the current research results in related fields, a three‐dimensional (3d) image visual communication system based on digital image automatic reconstruction is proposed with two schemes as the premise.In scheme 1, the hardware part is divided into two modules.The hardware used by the analysis of the 3d image layer module is the huj‐23 3d image processor.The acquisition of a 3d image layer module uses the hardware of a realistic infrared camera.The software of the system consists of two parts: a 3d image computer expression module and a 3d image reconstruction module.A simulation platform is established.The test data of 3d image reconstruction accuracy and visual communication integrity of the designed system show that both of them show a good trend.In scheme 2, regarding digital image processing, the 3d image visual perception reconstruction is affected by the modeling conditions, and some images are incomplete and damaged.The depth camera and image processor that can be used in the visual communication technology are selected, and their internal parameters are modified to borrow them in the original system hardware.Gaussian filtering model combined with scale‐invariant feature transform (sift) feature point extraction algorithm is adopted to select image feature points.Previous system reconstruction technology is used to upgrade the 3d digital image, and the feature point detection equation is adopted to detect the accuracy of the upgraded results.Based on the above hardware and software research, the 3d digital image system based on visual communication is successfully upgraded.The test platform is established, and the test samples are selected.Unlike the previous systems, the 3d image reconstruction accuracy of the designed visual communication system can be as high as 98%; the upgraded system has better image integrity and stronger performance than the previous systems and achieves higher visual sensing technology.In art education, it can provide a new content perspective for digital image art teaching.

Journal: Journal of Sensors (2021)
Publication types: Research Article;
Multiple-Devices-Process Integrated Scheduling Algorithm with Time-Selective Strategy for Process Sequence

This paper is in view of the current algorithm to solve multiple-devices-process integrated scheduling problems without considering parallel process between the parallel processing.Meanwhile, the influence of the first processing procedure on the second processing procedure is ignored, resulting in poor tightness between serial processes and poor parallelism between parallel processes, ultimately affecting the product scheduling results.We proposed multiple-devices-process integrated scheduling algorithm with time-selective for process sequence.The proposed multiple-devices-process sequencing strategy determines the process of scheduling order and improves the tightness between serial process.This paper presents a method to determine the quasischeduling time point of the multiequipment process, the time-selective strategy of multiple-devices-process, and the time-selective adjustment strategy of multiple-devices-process so that the first and the second processing processes cooperate with each other, and the purpose of improving the tightness of the serial process and the parallelism of the parallel processes is achieved, so as to shorten the product processing time.

Journal: Complexity (2020)
Publication types: Research Article;
Panoramic Display and Planning Simulation of Civil Engineering Project Based on Virtual Reality Technology

In the traditional civil engineering industry, only abstract theoretical concepts are applied to express complex realistic contents, but this method of information transmission is sometimes very limited for engineering participants, because its expression is not comprehensive and specific and also makes the recipients have difficulty in understanding its information.The rise and development of virtual reality (vr) technology has become a good assistant to overcome this difficulty, providing an extremely effective means for displaying and simulating civil engineering project in real time.This paper introduced the methods and principles of vr platform system and structure dynamic analysis, conducted virtual scene design and three-dimensional modeling of civil engineering project, analyzed the synthetic debugging and simulation roaming of the virtual environment, proposed the engineering model of virtual construction process and planning structure calculation, discussed the realization method of virtual project management and visualization, and finally performed the simulation and its result analysis of panoramic display and planning of civil engineering project based on vr technology.The results show that the vr technology can simulate various environments and activities of civil engineering projects in advance, analyze the rationality of various schemes, and modify their different functional parameters, so it can achieve the simulation optimization of project planning, design, and construction.

Journal: Complexity (2020)
Publication types: Research Article;
Recursive Neural Network-Based Market Demand Forecasting Algorithm for Calligraphy Practice Products

In today’s society, calligraphy, which reflects one’s basic writing skills, is becoming more and more important to people.People are influenced by calligraphy in their studies, work, etc.Improving calligraphy writing skills has become one of the key directions for developing one’s abilities at this stage.As an important means of improving writing skills, calligraphy practice products are attracting more and more attention and purchases.In particular, in recent years, as the market economy has developed in a deeper direction, people’s demand for calligraphy practice products has diversified and calligraphy practice product companies have launched a variety of products to meet the public’s calligraphy practice needs in order to adapt to the reality of consumer demand.However, with the development of the internet culture industry and influenced by objective factors such as school holidays and seasons, the current market demand for calligraphy practice products is rapidly and dynamically changing, making market changes difficult to grasp and leading to poor sales, which directly affects the profits of calligraphy practice product‐related companies.The artificial intelligence neural network method realizes the nonlinear relationship between the input and output of sample data through the self‐learning ability of each neuron and has a certain nonlinear mapping ability in prediction, which plays a great role in the market demand prediction of many commercial products.Based on this, this paper proposes a recursive neural network‐based algorithm to predict the future demand and development trend of calligraphy practice products through extensive and in‐depth research, so as to provide positive and beneficial guidance for enterprises’ future production and sales.

Journal: Journal of Mathematics (2022)
Publication types: Research Article;
Multidimensional Attention-Based CNN Model for Identifying Apple Leaf Disease

To prevent the spread of illnesses and guarantee the steady and healthy growth of the apple sector, the proper diagnosis of apple leaf diseases is of utmost importance.The subtle interclass variations and enormous intraclass variances among apple leaf disease features, together with the uniformity of disease spots and the complicated background environment, make apple leaf disease diagnosis extremely challenging.A unique dual-branch apple leaf disease diagnosis system (dbnet) was put out to address the aforementioned issues.An attention branch with many dimensions and a multiscale joint branch (ms) make up the dual-branch network topology of the dbnet (da).In this study, the ms branch and the da branch are combined to create a dbnet, which successfully improves recognition accuracy while mitigating the negative impacts of complicated backdrop environments and lesion similarities.The accuracy of the dbnet network increases by 0.02843, 0.02412, 0.0144, and 0.0125, respectively, when compared to previous leaf disease detection models.This makes it evident that the suggested dbnet model has certain benefits over others in terms of identifying apple leaf disease.

Journal: Journal of Food Quality (2023)
Publication types: Research Article;
Effect of Chinese herbal compound dressings in treating patients with diabetic foot ulcers: A meta-analysis

This meta‐analysis aims to systematically investigate the clinical efficacy of chinese herbal compound dressings in treating patients with diabetic foot ulcers (dfus).A comprehensive computerised search was conducted in databases including pub med, embase, google scholar, cochrane library, china national knowledge infrastructure, and wanfang databases, from database inception to november 2023, to identify randomised controlled trials (rcts) concerning the use of chinese herbal compound dressings in patients with dfu.Two researchers independently screened the literature, extracted data, and assessed the quality based on inclusion and exclusion criteria.Data analysis was performed using stata 17.0 software.Overall, 18 rcts involving 1405 dfu patients were included.The analysis indicated that compared to the control group, the group treated with chinese herbal compound dressings had significantly shorter ulcer healing time (standardised mean difference [smd] = −2.49, 95% confidence interval [ci]: −3.53 to −1.46, p &lt; 0.001), reduced ulcer surface area (smd = −3.38, 95% ci: −4.67 to −2.09, p &lt; 0.001), and higher healing rates (odds ratio [or] = 2.24, 95% ci: 1.72–2.92, p &lt; 0.001) as well as overall effectiveness rates (or = 4.56, 95% ci: 3.10–6.71, p &lt; 0.001).This study demonstrates that the external application of chinese herbal compound dressings in patients with dfu can significantly shorten the ulcer healing time and improve wound healing rates.

Journal: International Wound Journal (2024)
Publication types: Meta-Analysis;
Effect of quality nursing intervention on wound healing in patients with burns: A meta-analysis

This meta‐analysis aimed to explore the effects of quality nursing intervention on wound healing in patients with burns.A computerised search was conducted for randomised controlled trials (rcts) on the effect of quality nursing intervention on wound healing in patients with burns in the pub med, embase, google scholar, cochrane library, china national knowledge infrastructure and wanfang databases from the date of database inception to november 2023.Two researchers independently screened the literature, extracted data and performed quality assessment based on the inclusion and exclusion criteria.Stata 17.0 software was used for the data analysis.Twenty‐nine rcts involving 2637 patients with burns were included.The meta‐analysis revealed that compared with conventional nursing, the implementation of quality nursing intervention in patients with burns significantly shortened the wound healing time (standardised mean difference [smd] = −2.93, 95% confidence interval [ci]: −3.44 to −2.42, p &lt; 0.001).The incidence of wound infections (odds ratio [or] = 0.14, 95% ci: 0.07–0.27, p &lt; 0.001) and complications (or = 0.16, 95% ci: 0.11–0.23, p &lt; 0.001) was also reduced significantly.This meta‐analysis shows that applying quality nursing interventions in patients with burns can significantly shorten the wound healing time and reduce the incidence of wound infection and complications, thus promoting early patient recovery.

Journal: International Wound Journal (2024)
Publication types: Meta-Analysis;
Effect of two different modalities of hysterectomy on wound infection and wound dehiscence in obese patients

This research intended to investigate the influence of the operation of both kinds of hysterectomies in the risk of wound infection and the degree of wound dehiscence.Both of them were open field and laparoscope.In this research, we looked into four databases: pub med, web of science, embase and cochrane library.Research was conducted on various operative methods for hysterectomy in obese patients between 2000 and october 2023.Two independent investigators performed an independent review of the data, established the inclusion and exclusion criteria, and managed the results with endnote software.It also evaluated the quality of the included literature.Finally, the data were analysed with rev man 5.3.This study involved 874 cases, 387 cases received laparoscopy and 487 cases received open access operation.Our findings indicate that there is a significant reduction in the rate of post‐operative wound infection among those who have received laparoscopy compared with who have received open surgical procedures (odds ratio [or], 0.04; 95% confidence interval [ci], 0.01–0.15; p &lt; 0.001); there was no statistical difference between the rate of post‐operative wound dehiscence and those who received laparotomy compared with those who received open surgical procedures (or, 0.33; 95% ci, 0.10–1.11; p = 0.07); the estimated amount of blood lost during the operation was less in the laparoscopy group compared with the open procedure (mean difference, −123.72; 95% ci, −215.16 to −32.28; p = 0.008).Generally speaking, the application of laparoscopy to overweight women who have had a hysterectomy results in a reduction in the expected amount of bleeding during surgery and a reduction in the risk of post‐operative wound infections.

Journal: International Wound Journal (2024)
Publication types: Meta-Analysis;