bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimal Regulation Method of Greenhouse Light Environment considering Photosynthetic Rate Model Error
Authors: Yuan Qingyun , Liu Tan , Ding Xiaoming , Wang Yonggang , Cao Yingli
Published: June 2022

Due to the complexity of photosynthesis of greenhouse crops, there are inevitable errors between the established photosynthetic rate model and the actual value, which makes it difficult to guarantee the optimality and even feasibility of the optimal regulation of greenhouse light environment based on the original photosynthetic rate model. To solve these problems, this paper proposes an optimal regulation method of greenhouse light environment considering the error of photosynthetic rate model. The main contributions of this method are as follows: firstly, the photosynthetic rate model is established by using the error compensation extreme learning machine method to reduce the error between the model output and the actual value. Then, the model output is introduced into the optimal regulation problem of greenhouse light environment to form the optimal regulation model of greenhouse light environment after error compensation, and the constrained adaptive particle swarm optimization algorithm is used to solve the optimal regulation model, which ensures the rapid convergence of optimization results, makes the optimization results closer to the actual optimal values, and improves the reliability of optimal regulation of greenhouse light environment. Finally, the effectiveness of the proposed optimal regulation method is verified by experiments. The simulation results also show that the proposed optimal regulation method can give a reasonable light intensity setting value in time under different temperature, humidity, and CO2 conditions inside greenhouse, meet the needs of photosynthesis of actual greenhouse crops, and make the growth of greenhouse crops efficient and stable.
Researches on the Excavation Disturbance of Shield Tunnel in Sandy Cobble Ground
Authors: Wang Wei , Liu Jingjing , Zhang Xueming , Chen Jing
Published: June 2022

The sandy cobble ground has loose structure, uneven particle size, and random distribution characteristics, which may lead to the local collapse of ground. This paper carried out field tests based on the project of Luoyang urban rail transit. For this, the surface settlement, pore water pressure, and earth pressure in the test section were measured. The excavation disturbance and influence range on the soil layer in each stage of earth pressure balance shield tunneling were studied. Meanwhile, based on the key construction elements in sandy cobble ground, a numerical simulation method was proposed based on shield construction parameters. The disturbance characteristics of deformation, seepage action, and stress state of the sandy cobble ground during shield construction were obtained through numerical calculation. The rationality of the simulation results was verified by the measured tests. The results showed that the measured data were in good agreement with the simulation results. The research results provide a calculation method for predicting the soil disturbance in the earth pressure balance shield construction in a sandy cobble ground.
Application of Half-Transected and Self-Pulling Esophagojejunostomy in Total Laparoscopic Gastrectomy for Gastric Cancer: A Safe and Feasible Technique
Authors: Wan Hongtao , Xiong Jianyong , Chen Yanglin , Wei Haiyun , Tang Ren , Chen Chao , Sun Qing , Xu Jing , Yi Bo
Published: June 2022

Objective. This study introduces a technique for esophagojejunostomy with half transected and self-pulling (HTSP) and evaluates the safety, feasibility, and clinical results of this technique in totally laparoscopic total gastrectomy (TLTG). Materials and Methods. From May 2019 to March 2021, 42 patients (HTSP group) who underwent HTSP-TLTG surgery in the Department of Abdominal Tumor Surgery of Jiangxi Cancer Hospital were included in this study. The control group consisted of 50 patients undergoing conventional TLTG surgery (conventional anastomosis group) performed by the same surgical team from March 2018 to March 2020. The clinical data of the two groups were retrospectively analyzed and compared. Results. The mean operation time of the HTSP-TLTG surgery was 166.7 ± 13.1 minutes and the anastomosis time was 20.8 ± 2.0 minutes, which were significantly shorter than those of traditional TLTG (

P
<
0.05

). There were no significant differences between the two groups in blood loss, time to first exhaust, postoperative hospital stay, and incidence of surgery-related complications. Conclusion. HTSP is a safe and feasible way of endoscopic esophagojejunal anastomosis, which requires a relatively low suture technique under endoscopy, and is suitable for promotion.
Water Quality Classification for Inland Lakes and Ponds with Few Color Image Samples Based on Triple-GAN and CSNN
Authors: Yang Zan , Nai Wei , Li Dan , Xing Yidan
Published: June 2022

Water color is an important representation reflecting the characteristics of its quality in inland lakes or ponds; however, sufficient water color image samples are often difficult to obtain due to the limitation of fishery production. For few color image samples, the existing data enhancement methods based on the depth generation model have the problems of low quality of generated data, difficulty of network training, and so on; moreover, for image classification, traditional methods based on convolutional neural network (CNN) cannot effectively extract the potential manifold structure features in the image and the full connection layer in CNN cannot simulate biological neurons well, resulting in high time cost and low efficiency. In this paper, a water quality classification method has been proposed to solve the above problems, the improved semisupervised triple-generation adversarial network (triple-GAN) algorithm is used to enhance the few water color image samples, and the feature data can then be extracted from enhanced data by manifold learning method t-distributed stochastic neighborhood embedding (t-SNE). Moreover, convolutional spiking neural network (CSNN), in which spiking neural network (SNN) has replaced the original full connection layer of CNN, is used for final water quality classification. The main contribution of this paper is to build a new algorithm framework, introduce triple-GAN and CSNN into the field of classification of few water color image samples for the first time, and make an exploration of integrating artificial intelligence (AI) and water quality analysis problems. By comparing with traditional methods, the proposed method is proved to have the advantages of less time-consuming, low operation cost, and high classification accuracy.
Study on the Simplification Calculation Model of Marine Diesel Engine Exhaust Flow Based on Air-Fuel Ratio
Authors: Junwu Guo , Leyang Guo
Published: June 2022

Because of the large discharge of marine diesel engines, direct measurement is difficult and complicated. In order to obtain accurate data of marine diesel engine exhaust flow, the carbon balance method is generally used for calculation, but the carbon balance method has iterative operation, adopts wet concentration calculation, and does not consider sulfur oxide components, thus resulting in errors in the calculation results. In this paper, according to the calculation model of air-fuel ratio proposed by S H Chan, the law of conservation of C, H, and O atoms is observed, sulfur oxides in the exhaust are considered, and a new exhaust flow calculation model based on air-fuel ratio is obtained. This calculation model is the first to directly use dry gas concentration in the calculation model of air-fuel ratio. Then, the simplified calculation model is obtained by ignoring CO and simplifying coefficient

A

∗

, the difference between the carbon balance method, ignoring CO, and the simplified model is compared, and then the exhaust flow value and exhaust density are calculated by the test data. The simplified calculation model can also calculate the mass flow rate of carbon dioxide, unburned hydrocarbon, and carbon monoxide. Finally, a software program is developed for the simplified calculation model, which is convenient for quick calculation and quick acquisition of exhaust flow data, thus laying a solid foundation for the application of the simplified calculation model in real ships.
Optimization of Process Parameter on AA8052 Friction Stir Welding Using Taguchi’s Method
Authors: Sharma Pankaj , Baskar S. , Joshi Puneet , Raja T. A. , Sahu Santosh Kumar , Sreenivasa Reddy Medapati , Rudra Naik M.
Published: June 2022

The Taguchi method of experimental design was employed in this study to scrutinize the impact of welding processing factors, including rotating speed, travelling speed, and pin profile on ultimate tensile strength, microhardness, and impact strength of the Friction Stir Welded AA 8052 joint. The S/N values for each process specification were calculated using an orthogonal array of L9 design. The 1150 rpm and 28.5 mm/min were the greatest tensile strength, microhardness, S/N evaluation parameters, respectively, and a used cylinder pin. A combination of 1150 rpm and 32.5 mm/s and a conical cylindrical pin provided the best impact toughness results. According to the analysis of variance, the spinning speed, travel feed, and pin shape had a 37.34% impact on ultimate strength and a further 34.33% impact on microhardness. A second set of tests verified the findings, with tensile strength of 349.96 MPa, hardness of 115.31 H, and impact strength of 7.95 kJ.
Influence of Pore Structure Characteristics of Primary Coal on Coalbed Methane Adsorption
Authors: Liu Gang
Published: June 2022

In order to better discuss the influence of pore structure characteristics of primary coal on coalbed methane adsorption, suburban coal and Zhaozhuang coal in Henan Province were systematically sampled. The analysis method of pore structure characteristics of primary coal is divided into shooting research and experimental analysis. Scanning electron microscope (SEM) was used to analyze the formation reason of coal micropores, pore shape, pore connectivity, pore size, and filling effect on coalbed methane adsorption. Experimental analysis is mainly based on CO2 adsorption experiments to obtain specific surface, pore volume, and distribution of coal samples. The pore-specific surface area, pore volume, and adsorption-desorption curve of coal samples were obtained by ultralow-temperature N2 adsorption experiment. Finally, the influence of pore structure characteristics of primary tectonic coal on coalbed methane adsorption was discussed by fusion of phase study and experimental analysis.
Study of a Fractional System of Predator-Prey with Uncertain Initial Conditions
Authors: Ahmad Shabir , Ullah Aman , Akgul Ali
Published: June 2022

In this manuscript, we study a nonlinear fractional-order predator-prey system while considering uncertainty in initial values. We derive the feasibility region and the boundness of the solution. The suggested model’s equilibrium points and the basic reproduction number are calculated. The stability of equilibrium points is presented. We use the metric fixed point theory to study the existence and uniqueness results concerning the solution of the model. We use the notion of UH-stability to show that the model is Ulam–Hyres type stable. To attain the approximate solution of the proposed model, we construct a method that uses the fuzzy Laplace transform in collaboration with the ADM (Adomian decomposition method). Finally, we simulate our theoretical results using MATLAB to show the dynamics of the considered model.
Construction of Training Program for Specialized Nurses in the Central Sterile Supply Department (CSSD) Based on Post Competency
Authors: Song Zhaohui , Qin Yuanhua , Huang Bei , Zhang Zhihong
Published: June 2022

Objective. The aim of this study is to analyze the construction of a training program for specialized nurses in disinfection supply center (CSSD) based on post competency. Methods. Based on the theory of post competency, literature analysis, investigation, and expert consultation are used to establish training contents and methods. Results. Two rounds of expert consultation were conducted in this study. In the first round of expert consultation, 22 questionnaires were sent out and 21 valid questionnaires were received with an effective recovery of 95.45%. Seven experts (31.82%) proposed 53 suggestions for modification. A total of 21 questionnaires were sent out in the second round of expert consultation and 21 were effectively received with an effective recovery rate of 100.00%. In the first round of expert consultation, the mean importance score of 63 third-level indicators was 4.00–5.00 points, the standard deviation was 0.00–1.00, and the full score rate was 46.54%–100.00%. In the second round of expert consultation, the mean importance score of 67 third-level indicators was 4.05∼5.00 points, the standard deviation was 0.00–0.88, and the full score rate was 20.00%∼100.00%. In the first round of expert consultation, the Kendall coordination coefficient was 0.187. In the second round of expert consultation, the Kendall coordination coefficient was 0.2196, and the differences were statistically significant after

χ

2

test

P
<
0.05

. The coefficient of variation of each index in the second round of expert consultation ranged from 0.00 to 0.21. Conclusion. The CSSD-specialized nurse training program based on job competency constructed in this study takes job competency as the theoretical basis and uses a literature analysis method, survey research method, and expert consultation method to establish the content and method of training, the above methods are scientific and reasonable, and experts are motivated. It is highly authoritative, and the consultation opinions of experts at all levels of indicators tend to be consistent, which can provide reference for the training of CSSD specialized nurses.
Antileakage Technology of Computer Video Information Encryption Based on Digital Information Method
Authors: Sun Hua , Jiao Huihua , Lu Kai
Published: June 2022

In order to better realize and ensure the security performance of network information itself, various possible risks must be prevented in advance, and a more reliable operation environment must be created as much as possible. A research study on computer video information encryption and antileakage technology based on the digital information method is proposed. Through the research on the working principle of computer display systems, this paper analyzes the common leakage sources. On this basis, it analyzes how to protect the electromagnetic wave leaked from the computer display system. Finally, it is proposed that the protective measure adopted in this paper is (transient electronic pulse emission survey technology, tempest) technology; that is, the image is processed at the source of image information to reduce the electromagnetic radiation of useful information. The corresponding digital filter is designed by fir, and the combined filtering of digital filter and analog filter is applied to eliminate the inherent disadvantage of periodic fluctuation of insertion loss of the digital filter. The research results show that the receiver before filtering can receive video images at multiple frequency points such as 20 MHz, 160 MHz, 220 MHz, 250 MHz, 270 MHz, 290 MHz, and 340 MHz, while the receiver after filtering can only receive video images at two frequency points of 20 MHz and 250 MHz, but it cannot recognize the words in the figure, and its effect is very obvious. It verifies the correctness and effectiveness of the theoretical analysis in this paper.
Research on the Effect of Curing Temperature, Steel Fiber, and Admixture Content on Concrete Performance Based on Orthogonal Test in Cold Region
Authors: Zhu Z. G. , Hou K. P. , Sun H. F. , Cheng Y. , Yang B. J. , Sun W.
Published: June 2022

Cold region covers over 50% all over the world. As an indispensable part of the project, concrete is greatly affected by temperature during the curing process. In this paper, through the orthogonal experiment design, we studied the mixing temperature, steel fiber, and water reducing agent dosage on concrete mixture slump; the influence of curing temperature, steel fiber, water reducing agent, and accelerating agent content on compressive strength of concrete; and the influence of the final microstructure by scanning electron microscopy (28-day concrete, analysis of the degree of hydration reaction). The results show that the slump of concrete increases with the amount of water reducing agent. Mixing temperature and steel fiber content have little effect on the workability of the mixture. Curing temperature has a significant effect on the growth of concrete compressive strength. The higher curing temperature is within 0∼20°C, the faster the growth of concrete strength is. The longer the age of concrete, the greater the compressive strength. The content of water reducing agent and accelerating agent only has a significant effect on the early strength of concrete, while the content of steel fiber has a great effect on the late strength of concrete. Curing temperature affects the degree of hydration reaction of concrete. The higher the curing temperature, the more the cementing substances produced by hydration reaction of concrete, the higher the degree of hydration reaction, and the higher the strength of concrete. The research results are helpful to improve the mine support operation in high-cold and high-temperature difference area.
Visual Fatigue Phenomenon in Visual Communication Design Integrating Artificial Intelligence
Authors: Tao Jie
Published: June 2022

In the process of cognition, people focus on self-feeling and realize the cognition of the world by judging the information conveyed by vision. Design changes lives, and our lives are always surrounded by design. This research mainly discusses the phenomenon of visual fatigue in visual communication design integrated with artificial intelligence. The article first analyzes the characteristics of optical illusion art. Taking typical works as an example, it expounds the application of optical illusion in modern design and the influence of optical illusion on design works. At the same time, it combines the basic principles of optical illusions to find out the elements and types of optical illusions, as well as various optical illusions that exist in life. This research uses artificial intelligence technology to efficiently create visual design, providing a basic space for higher quality design output. The proportion of subjects who could find the location of the inserted content was 66.7%. This study helps to better emphasize the visual design effect and link visual fatigue. The article starts from three aspects: web page, mobile phone, and traditional media. It analyzes the phenomenon of visual fatigue in modern visual communication design. While giving solutions, it also puts forward the dialectical concept of the balance between visual comfort and design.
Motion Trajectory Control System for Production Line Robots Based on Variable Domain Fuzzy Control
Authors: Pan Ling
Published: June 2022

Mechatronics production line is widely used in the production and operation of all walks of life, which greatly reduces the amount of labor of employees, improves the production level of enterprises, and creates great social and economic benefits for enterprises. The traditional manipulator system has modeling uncertainty and is vulnerable to external interference. In this paper, a compound control scheme is designed by combining the torque controller and fuzzy compensator, which effectively improves the system's response speed and greatly reduces the steady-state tracking error of the system. At the same time, the tracking process of the scheme is stable and flexible, and the chattering is minimal, which effectively improves the trajectory tracking performance of the system. Experiments show that the algorithm effectively solves the contradiction between computational complexity and control accuracy, improves the system's response speed, and reduces the system's steady-state tracking error.
Efficacy of Low-Level Laser Therapy in Reducing Pain in the Initial Stages of Orthodontic Treatment
Authors: Brito Manoel Heitor , Nogueira Cinthya Quagliato , Cotrin Paula , Fialho Tiago , Oliveira Renata Cristina , Oliveira Ricardo Gobbi , Salmeron Samira , Valarelli Fabrício Pinelli , Freitas Karina Maria Salvatore , Cançado Rodrigo Hermont
Published: June 2022

Purpose. There is no consensus about the mechanism and efficacy in alleviating pain of the lower-level laser therapy (LLLT) during orthodontic treatment. This study aimed to evaluate the LLLT effectiveness clinically in reducing pain caused by orthodontic movement that occurs in the early stages of treatment. Methods. The sample consisted of 54 patients in need of orthodontic treatment divided into two groups. A 28 experimental patients group (initial mean age: 26.84 years old) was undergone gallium-aluminum-arsenide infrared laser application on 12 points for each tooth immediately after the installation of the first alignment archwire, and a 26 patients control group (initial mean age: 29.13 years old) was undergone to no pain control intervention at all. Pain intensity was measured by using a visual analog scale, which was marked pain level (mm) reported in 06, 24, 48, and 72 hours. The perception of pain (beginning, peak, decline, and absence) was evaluated by filling up a questionnaire. To compare the intensity and perception of pain between groups, a nonparametric Mann–Whitney has been performed. Results. The experimental group showed levels (mm) at 6 (

p
<
0.001

), 24 (

p
=
0.004

), and 48 hours (

p
=
0.007

) and perception of pain (hours) in the peak (

p
=
0.026

), decline (

p
=
0.025

), and absence (

p
=
0.008

) significantly lower compared to the group control. Conclusion. Low-level laser therapy is effective in reducing pain severity caused by orthodontic forces activation, and it promotes the analgesic action lasting effect during the most painful feeling time.
Study on Zonal Cooperative Control Technology of Surrounding Rock of Super Large Section Soft Rock Chamber Group Connected by Deep Vertical Shaft
Authors: Xie Shengrong , Jiang Zaisheng , Chen Dongdong , Wang En
Published: June 2022

Aiming at solving the problem of asymmetric deformation, failure, and stability control of surrounding rock caused by the excavation of deep super large section soft rock chamber group passing through multilayer strata, taking super large section soft rock chamber group connected by deep vertical shaft in Wuyang Coal Mine as the engineering background, the deformation development mode of surrounding rock, the expansion situation of loosening range, and the plastic failure response characteristics in chamber group under the disturbance influence are monitored and numerically analyzed. On this basis, the super large section chamber group is divided into four maintenance control areas: area I (severe deformation area), area II (stable deformation area), area III (medium deformation area), and area IV (small deformation area), and the asymmetric deformation and failure mechanism of the surrounding rock of the chamber group is analyzed. The influence mechanism of specific support technologies on the deformation control effect of surrounding rock of chamber group is systematically studied, including high‐strength prestressed bolt (cable) mesh shotcreting coupling support technology, reinforced concrete wall subarea brickwork support technology, and hollow bolt (cable) grouting reinforcement technology of fragmented coal and rock mass. The basic control ideas and technical methods of surrounding rock of deep large section soft rock chamber group are formed. The subarea collaborative control technology of “high‐strength prestressed bolt (cable) mesh shotcreting coupling + reinforced concrete wall brickwork support technology + high‐strength bolt (cable) grouting of fragmented coal and rock mass” is proposed. The field application shows that this technology realizes effective control of surrounding rock of super large section chamber group.
Skin Lesion Segmentation Based on Edge Attention Vnet with Balanced Focal Tversky Loss
Authors: Nour Majid , Öcal Hakan , Alhudhaif Adi , Polat Kemal
Published: June 2022

Segmentation of skin lesions from dermoscopic images plays an essential role in the early detection of skin cancer. However, skin lesion segmentation is still challenging due to artifacts such as indistinguishability between skin lesion and normal skin, hair on the skin, and reflections in the obtained dermoscopy images. In this study, an edge attention network (ET-Net) combining edge guidance module (EGM) and weighted aggregation module is added to the 2D volumetric convolutional neural network (Vnet 2D) to maximize the performance of skin lesion segmentation. In addition, the proposed fusion model presents a new fusion loss function by combining balanced binary cross-entropy (BBCE) and focal Tversky loss (FTL). The proposed model has been tested on the ISIC 2018 Task 1 Lesion Boundary Segmentation Challenge dataset. The proposed model outperformed the state-of-the-art studies as a result of the tests.
Multiobjective Optimization Algorithm for EFRM Strategy
Authors: Jiang Weiwei , Wang Xi , Wu Xuefeng
Published: June 2022

With the rapid development of the global economy in recent years, market competition has become more and more intense. Therefore, the market competitiveness of the enterprises is becoming higher and higher. Among them, the enterprise financial risk management (EFRM) is one of the key factors that decide the enterprise market competition. It also shows that enhancing the enterprise market competition needs to strengthen the enterprise’s financial control and management, with the method of reasonable controlling of enterprise financial risk (EFR). The current research and development status of EFRM is combed, the theory of financial internal control and its significance are expounded, the related concepts of the company’s financial internal control are studied, and the definition, classification, basic features, and causes of financial risk are analyzed in this paper. Finally, a company is taken as research object, the characteristics and status quo of the company’s financial risk system are studied, and its existing problems are analyzed, a mathematical model for the company’s FRM is built, and the multiobjective optimization algorithm is used to optimize the model, to improve the level of a company’s FRM performance and market competitiveness and to guard against the company’s financial risk.
A ResNet50-Based Approach to Detect Multiple Types of Knee Tears Using MRIs
Authors: Sharma Shilpa , Umer Mohammad , Bhagat Avinash , Bala Jeevan , Rattan Punam , Rahmani Abdul Wahab
Published: June 2022

The recommended tool for assessing knee injury is magnetic resonance imaging (MRI). However, knee MRI interpretation takes time and is vulnerable to clinical errors and inconsistency. A deep learning automated technique for reading knee MRI might help physicians identify high-risk patients and make diagnosis easier. In this study, we have proposed a deep learning-based model to detect ACL and meniscus tears and other knee abnormalities. At its core, this model is based on the ResNet50 transfer learning technique. In this paper, we have focused to present a ResNet50-based model for detecting different knee problems using MRIs. The best models for every option achieved the objectives that were probably similar. The models were developed using 18, 3, and 1 slice. These models’ outcomes were rather startling. The AUC findings obtained with 1 slice per MRI exam were equivalent to those obtained with 18 and 3 slices and, in some cases, were significantly better. The dataset used in this model is from Stanford University. We trained this model in three different settings of MRI slices (18, 3, and 1). The best results that our models were able to achieve were when trained using 3 slices of each MRI sample. The area under the receiver operating characteristic curve, or AUC curve, values that our best models were able to achieve for detecting ACL, meniscus, and other knee abnormalities are 0.87, 0.82, and 0.90, respectively. The results of our models are comparable to some state-of-the-art models. These models are very fast and efficient to train and hence will be helpful to doctors for making an effective and fast diagnosis based on knee MRIs.
An Improved Stacking Model for Equipment Spare Parts Demand Forecasting Based on Scenario Analysis
Authors: Yang Yi , Liu Wei , Zeng Tingting , Guo Linhan , Qin Yong , Wang Xue
Published: June 2022

The purpose of spare parts management is to maximize the system’s availability and minimize the economic costs. The problem of cost availability trade-off leads to the problem of spare parts demand prediction. Accurate and reasonable spare parts demand forecasting can realize the balance between cost and availability. So, this paper focuses on spare parts management during the equipment normal operation phase and tries to forecast the demand of spare parts in a specific inspection and replacement cycle. Firstly, the equipment operation and support scenarios are analyzed to obtain the supportability data related to spare parts requirements. Then, drawing on the idea of ensemble learning, a new feature selection method has been designed, which can overcome the limitations of a single feature selection method. In addition, an improved stacking model is proposed to predict the demand for spare parts. In the traditional stacking model, there are two levels of learning, base-learning, and meta-learning, in which the outputs of base learners are taken as the input of the meta learner. However, the proposed model brings the initial feature together with the output of the base learner layer as the input of the meta learner layer. And experiments have shown that the performance of the improved stacking model is better than the base learners and the traditional stacking model on the same data set.
Network Pharmacology and Pharmacological Mechanism of CV-3 in Atrial Fibrillation
Authors: Wang Zundong , Zeng Zhen , Hu Yongsheng , Sun Hengcan , Tang Ying , Liu Weiqin
Published: June 2022

The high fatality and disability rate of atrial fibrillation (AF) strongly promote the development of pathogenesis and treatment of AF that is of great value. The present research attempted to clarify potential mechanisms of Mujiangzi oil (CV-3) in treating AF by constructing an AF cardiomyocytes model and using a network pharmacology approach. The experiment was divided into 4 groups: control, an AF model, AF + CV-3-treated, and the AF + verapamil group. Flow cytometry and the MTT assay were employed to detect cell apoptosis and cell viability, respectively. The main active components of CV-3 and predicted targets were obtained firstly, and molecular docking was performed. In the AF model, the cell apoptosis was aggravated, but inhibited in the CV-3-treated group. In addition, the cell viability was recovered after CV-3 treatment compared with the model group. Five potential active compounds of CV-3 were collected, including effective ingredients N-decanoic acid, spathulenol, copaene, β-panasinsene, and eucalyptol. Among them, N-decanoic acid and spathulenol was demonstrated to bind to PTGS2 with binding energy of −4.08 and −7.09 kcal/mol, respectively, and hydrogen bonds interaction were found. The present study indicated that CV-3 could alleviate AF cardiomyocytes apoptosis and improve cardiomyocytes viability, and N-decanoic acid and spathulenol may be the key components of CV-3 in treatment of AF by regulating PTGS2. This study provided the possible target PTGS2 and the understanding of molecular mechanisms of CV-3 in treating AF.
A Fuzzy Multicriteria Assessment Mechanism towards Musical Courses Using Deep Learning
Authors: Li Na , Gong Ting
Published: June 2022

Nowadays, the musical courses have been quite prevalent spiritual activities in online or offline scenarios. However, the teaching quality is diverse and cannot be easily assessed by general nonprofessional audience. Limited by the amount of experts, it is supposed to investigate intelligent mechanisms that can automatically assess the teaching quality of musical courses. To deal with such issue, the combination of artificial intelligence and conventional music knowledge acts as a promising way. In this work, a fuzzy multicriteria assessment mechanism is used towards musical courses with the use of a typical deep learning model: convolutional neural network (CNN). Specifically, note that features inside the musical symbol sequences are expected to be extracted by residual CNN structure. Next, multilevel features inside the musical notes are further fused with neural computing structure, so that feature abstraction of initial musical objects can be further improved. On this basis, notes can be identified with use of bidirectional recurrent unit structure in order to speed up fitting efficiency of the whole assessment framework. Comprehensive experimental analysis is conducted by comparing the proposed method with several baseline methods, showing a good performance effect of the proposal.
The Role of Methyl‐(Z)‐11‐tetradecenoate Acid from the Bacterial Membrane Lipid Composition in Escherichia coli Antibiotic Resistance
Authors: Doma Alexandru O. , Cristina Romeo T. , Muselin Florin , Dumitrescu Eugenia , Dégi János , Imre Kálman , Boldea Marius , Vlad Daliborca C. , Popescu Roxana , Cimporescu Adinela , Bratu Dana C.
Published: June 2022

Background. The bacterial membrane plays a critical role in the survival of bacteria and the effectiveness of antimicrobial peptides in protecting the host. The lipid constituents of the bacterial membrane are not evenly distributed, and they could be affected by clustering anionic lipids with cationic peptides with multiple positive charges. That could be harmful to bacteria because it prevents lipids from interacting with other molecular components of the cell membrane, disrupts existing natural domains, or creates phase boundary defects between the clustered lipids and the bulk of the membrane. This preliminary quantitative study is aimed at assembling a correlation between antibiotic resistance and bacterial lipid composition in E. coli, based on the function and arrangement of the bilipid coating of the bacterial cell, intimately associated with the path of antimicrobials through membranes. Methods. Fifteen multiresistant E. coli samples are collected from swine with enterocolitis tested for resistance levels using the disc diffusimetric method (Kirby‐Bauer disc diffusion). Pathogen identification completed using the API 20E multitest system revealed the E. coli presence in 11 samples. In these samples, bacterial membrane detection of fatty acid methyl esters (FAME) operating a 240 MS Ion Trap (Varian) GC/MS (Agilent Technologies, Santa Clara, CA, USA) was performed, using the MIDI Sherlock recognition software model. Results. Interpreting the descriptive statistical method, the correlation matrix, and regression curves and after ANOVA analysis, we ascertained that the studied E. coli population statistically confirmed different degrees of resistance in most of the samples analyzed in this test. Conclusions. In one case, the methyl‐(Z)‐11‐tetradecenoate acid was observed to have a relationship with the susceptibility evaluation by using the disc diffusimetric method, which has revealed the lowest rate of antimicrobial resistance, so it has importance in further resistance evaluation studies.
Impact of Dexamethasone Preconditioning on Prevention of Development of Cognitive Impairment following Acute Inflammation
Authors: Cheng Wenjie , Song Yushan , Liu Yanfang , Sun Xiaohua , Ren Wanlu
Published: June 2022

To assess the preventive role of dexamethasone (Dex) in the development of neuroinflammation and concomitant neurocognitive disorders following acute inflammation. C57BL6 mice were fallen into the sham group, ischemia‐reperfusion (I/R) group, and I/R + Dex group randomly. In the end, behavioral alterations were assessed with the Morris water maze (MWM) test, passive avoidance test (PAT), and open field test (OFT). The serum levels of IL‐1β and TNF‐α were detected by ELISA. Immunofluorescence was adopted to observe the NF‐kB expression in the hippocampus. In addition, TLR4, NF‐kB, CD68, and CD206 were examined by Western blot. The cognitive ability of mice can be impaired by tourniquet‐induced acute inflammation, and these changes were prevented by Dex. Compared to the I/R group, Dex pretreatment could decrease levels of IL‐1β and TNF‐α proteins in serum. Besides, Dex preconditioning significantly decreased the utterance of NF‐kB immunoreactive cells and TLR4, NF‐kB, and CD68 overexpression in the hippocampus. Dex partly through inhibiting microglia transformation to the M1 polarization state and inactivating the TLR4/NF‐kB pathway attenuates the cognitive disorders in mice.
Smartphone-Based Cognitive Assistance of Blind People in Room Recognition and Awareness
Authors: Ullah Muhib , Khusro Shah , Khan Mumtaz , Alam Iftikhar , Khan Inayat , Niazi Badam
Published: June 2022

Blind people face multiple challenges in performing their daily activities, such as localization, navigation, and communication with other people following the social status of the ambient environment. The outdoor navigation and localization are mitigated through assistive technologies, such as white cane, smartphones, and Global Positioning System (GPS). However, little attention has been paid to assisting a blind person in judging the room environment, occupants in a room, communicating with an intended person, social status, and so on. This study attempts to provide cognitive assistance to blind people in predicting room types and finding the intended person to communicate their message by understanding their ambient environment and social status in terms of their age, gender, and the number of people inside a room. The proposed solution uses the microphone and speaker to recognize room types and a camera for understanding the ambient environment and social status. The information is conveyed to the blind person through haptic feedback. We analyzed different evaluation metrics, including the movement of people, ambient sounds, orientation, and position. We conducted an extensive user study to validate the proposed solution in real-world scenarios and achieved 87.64% accuracy in room type recognition in 11 rooms, 64.57% gender recognition, 61.73% age group, and 61.71% correctly identified the number of people.
To Study the Hydrological System and Watershed by Using Remote Sensing (RS) and Geographic Information System (GIS) in Kannad Taluka, Aurangabad District, MS, India
Authors: Garoon Eman Mohammed , Al-Horaibi Sultan Abduh , Mule Mahadeo B.
Published: June 2022

The current study in this research focuses on the importance of the digital elevation model (DEM) and satellite images to evaluate and interpret the relative parameters of watersheds in Kannad taluka, Aurangabad district, India. Watersheds in the area were identified and calculated using the SRTM DEM through ARCGIS 10.8 software. Kannad shows a first to fourth-order drainage network which is of dendritic type, which indicates a sign of the structural lack of control and homogeneity of the watersheds in Kannad taluka. The basin’s mean bifurcation ratio is found to be 1.47 which indicates that the drainage network pattern is not much influenced by geological structures. Based on the hydrological assessment on the watershed scale, the present study reveals that the SRTM DEM is the most accurate application compared to other techniques. As visual or manual identification and evaluation are difficult and may not provide a holistic view of watersheds, modern tools of RS and GIS were used to study the watershed of Kannad taluka. There was lack of published reports on watersheds by using the RS and GIS and work undertaken.
A Pancancer Study of PIEZO1 as a Prognosis and Immune Biomarker of Human Tumors
Authors: Wu Yunhui , Zhang Jingying , Hou Can , Wang Hongyu , Zhu Min , Yao Xin
Published: June 2022

PIEZO1, a mechanosensitive ion channel protein, has been identified in the correlation between several cancers. However, the systematic pancancer study of PIEZO1 still lacks. We examined PIEZO1 across thirty-three types of cancers to explore its role in prognosis and immunological function for the first time. Based on the open databases TCGA, GTEx and CPTAC, PIEZO1 has been demonstrated to be differentially expressed in most cancers compared to adjacent normal tissues. The distinct correlation between PIEZO1 and prognosis of tumor patients was explored by GEPIA2. Genetic alteration of PIEZO1 in the TCGA tumors showed that mutation is the alteration which is linked to OS, DSS, DFS and PFS in some tumors. Alterations of protein phosphorylation levels were detected in some cancers based on the CPTAC dataset. PIEZO1 expression was linked with immune cell infiltration, such as endothelial cell and cancer-associated fibroblast. Finally, KEGG and GO enrichment analyses were applied to investigate the molecular mechanism of PIEZO1. Our first pancancer analysis illustrated the roles of PIEZO1 in different types of tumors.
Efficacy and Safety of Rupatadine Fumarate Combined with Acupoint Application in Allergic Rhinitis Complicated with Diabetes
Authors: Liu Yu , Jiang Pengjun , Chen Xuqing , Zhang Wen , Shi Jun
Published: June 2022

The prevalence of allergic rhinitis has exhibited an upward trend, and diabetes is a common endocrine metabolic disorder. Treatment of allergic rhinitis complicated with diabetes has been marginally explored. This study aimed to observe the effect of rupatadine fumarate combined with acupoint application in the treatment of allergic rhinitis complicated with diabetes and its effect on serum IgE levels. Totally 80 patients with allergic rhinitis complicated with diabetes admitted to our hospital from December 2019 to December 2020 were recruited and assigned to receive either rupatadine fumarate (control group) or rupatadine fumarate plus acupoint application (research group). The clinical observation indexes of the two groups of patients before and after treatment were analyzed, and the clinical efficacy of the two groups was evaluated. Rupatadine fumarate plus acupoint application was associated with a significantly higher efficacy (23 cases of markedly effective, 14 cases of effective, and 3 cases of ineffective) versus rupatadine fumarate alone (14 cases of markedly effective, 16 cases of effective, and 10 cases of ineffective) (χ2 = 4.501,

p

 = 0.034). The immunoglobulin E (IgE) and nasal mucosal eosinophils (EOS) levels of the two groups of patients after treatment decreased significantly, and the research group had lower results (

p

 < 0.05). Patients in the research group showed significantly lower syndrome scores than those in the control group (

p

 < 0.05). Rupatadine fumarate plus acupoint application resulted in significantly lower physical sign scores and interleukin-4 (IL-4) levels and higher levels of interferon-gamma (INF-γ) versus rupatadine fumarate alone (

p

 < 0.05). The two groups showed a similar incidence of adverse events (

p

 > 0.05). Rupatadine fumarate plus acupoint application may offer a viable alternative for the treatment of allergic rhinitis as it alleviates the clinical symptoms, improves the treatment efficiency, and enhances the anti-allergic effect of the drug, with a high safety profile.
The Effect of Occupational Engagement on Lifestyle in Adults Living with Chronic Pain: A Systematic Review and Meta-analysis
Authors: Nielsen Svetlana Solgaard , Skou Søren T. , Larsen Anette Enemark , Bricca Alessio , Søndergaard Jens , Christensen Jeanette Reffstrup
Published: June 2022

Background. Healthy lifestyle is important to decrease health risks in individuals living with chronic pain. From an occupational therapy perspective, human health and lifestyle are linked to occupational engagement in meaningful everyday activities. This study is aimed at investigating the effect of including occupational engagement in chronic pain interventions on lifestyle. Methods. In this systematic review (PROSPERO reg. CRD42020159279), we included randomized controlled trials (RCTs) on interventions involving occupational engagement (i.e., occupational performance based on involvement, choice, positive meaning, and commitment) and assessing modifiable lifestyle factors: physical activity, body anthropometrics, alcohol consumption, smoking, stress, and sleep. We sought the databases Ovid MEDLINE, Embase, PsycINFO, CINAHL, Cochrane, Scopus, Web of Science, OTseeker, ClinicalTrials.gov, OpenGrey, and the web engine Google Scholar and citations and references of relevant publications. We evaluated methodological quality with the Cochrane risk-of-bias tool 2.0, determined the overall evidence certainty using the GRADE methodology, and performed meta-analysis when two or more trials reported on the outcomes. Results. Of the 9526 items identified, 286 were full text screened. We included twelve articles with eleven RCTs comprising 995 adults and assessing physical activity, sleep quality, stress, and Body Mass Index. Sufficient data for meta-analysis was only available for physical activity and sleep quality. The meta-analysis suggested a moderate increase in physical activity after behavioral interventions for fibromyalgia and musculoskeletal pain (

SMD
=
0.69

(0.29; 1.09)) and a small increase in sleep quality up to 6 months after multidisciplinary self-management of fibromyalgia (

SMD
=
0.35

(95% CI 0.08; 0.61)). The overall certainty of the evidence was deemed low. Conclusion. Including occupational engagement in chronic pain interventions may increase short-term physical activity and long-term sleep quality. Due to the few available RCTs including occupational engagement in chronic pain treatment for adults living with chronic pain, further high-quality RCTs are needed and will likely change the conclusion.
TLR4 Modulates Senescence and Paracrine Action in Placental Mesenchymal Stem Cells via Inhibiting Hedgehog Signaling Pathway in Preeclampsia
Authors: Zhong Yanqi , Zhang Yang , Liu Weifang , Zhao Yin , Zou Li , Liu Xiaoxia
Published: June 2022

Preeclampsia (PE) is a heterogeneous disease closely associated with the accelerated senescence of the placentas. Placental mesenchymal stem cells (PMSCs) modulate placental development, which is abnormally senescent in PE together with abnormal paracrine. Both pivotal in the placenta development, Toll-like receptor 4 (TLR4) and Hedgehog (HH) pathway are also tightly involved in regulating cellular senescence. This study was aimed at demonstrating that TLR4/HH pathway modulated senescence of placentas and PMSCs in vitro and in vivo. Preeclamptic and normal PMSCs were isolated. Smoothed agonist (SAG) and cyclopamine were used to activate and inhibit HH pathway, respectively. Lipopolysaccharide (LPS) was used to activate TLR4 in vitro and establish the classic PE-like rat model. qRT-PCR, Western blotting, and immunofluorescence were used to detect the expression of TLR4 and HH components (SHH, SMO, and Gli1). Cellular biological function such as proliferation, apoptosis, and migration was compared. Cell cycle analysis, β-galactosidase staining, and the protein expressions of p16 and p53 were detected to analyze the cellular senescence. The secretion levels of human matrix metalloproteinase 9 (MMP-9) and soluble fms-like tyrosine kinase-1 (sFlt-1) were measured in the conditioned medium. Cell migration, invasion, and tube formation were analyzed in HTR8/SVneo cells or human umbilical vein endothelial cells (HUVECs). Our study demonstrated that activation of TLR4 accelerated senescence of PMSCs via suppressing HH pathway both in vitro and in vivo, accompanied by the detrimental paracrine to impair the uterine spiral artery remodeling and placental angiogenesis. Meanwhile, induction of HH pathway could alleviate PE-like manifestations, improve pregnancy outcomes, and ameliorate multiorgan injuries, suggesting that strengthening the HH pathway may serve as a potential therapy in PE.