bluuebunny/crossref_metadata_2025 huggingface dataset:
Correlation Analysis of China’s Foreign Trade Structure and Industrial Structure Based on Correlation and Mutual Influence
Authors: Zhou Yang , Chen Chaoyi
Published: June 2022

In recent years, China’s foreign trade has continued to develop and achieved remarkable results, and the economic development trend has been steady and positive overall. However, although there are new opportunities for the development of China’s foreign trade, it also faces new challenges and dilemmas. Therefore, in the current international trade situation, it is of great significance to study the impact of China’s foreign trade on industrial structure and find the key points for the development of endogenous economic dynamics on this basis. China’s industrial structure has undergone a clear process of upgrading and is a major trading country for industrially manufactured goods. The results of the analysis of the subsectors show that the trend of structural upgrading within the industry is equally significant. At the same time, there is often a significant trend of synergistic changes in the percentage of processing trade and the percentage change of trade in high-tech products. Based on this, this paper analyzes the correlation between China’s foreign trade structure and industrial structure based on the correlation of mutual influence. The evolutionary algorithm has the advantages of a strong ability to search for global optimal solutions and good robustness, which is applied as the core algorithm of this paper. The study in this paper examines the interaction between industrial structure and trade structure from the perspective of matching the association between industrial structure and trade structure on the basis of measuring the industrial structure and trade structure at the regional level. The experimental results demonstrate the validity of the model in this paper.
Assessment of Milk Contamination, Associated Risk Factors, and Drug Sensitivity Patterns among Isolated Bacteria from Raw Milk of Borena Zone, Ethiopia
Authors: Aliyo Alqeer , Teklemariam Zelalem
Published: June 2022

Background. The contamination of raw milk depends on the number and type of organisms that can cause health risks, which can be judged by the presence of microorganisms and bacterial pathogens. This study evaluated bacterial contamination, the risk factor, and drug sensitivity patterns. Methods. A cross-sectional study was carried out on conveniently selected 95 milk producers. Data were collected using the structured pretest questionnaire and the observation control list. Subsequently, 15 to 20 ml of milk samples were taken for laboratory analysis. The milk samples have been diluted and continuously inoculated on the number of standard plates and the blue Eosin methylene germs for the total number of bacteria and coliforms counted. Biochemical and drug sensitivity tests have been done. The version 21 Statistical Package for the Social Sciences was used for analysis. Analysis of the associated factors using binary logistical regression analysis and a

P

value less than 0.05 was considered to be statistically significant. Results. The total bacteria (TBC) and coliform count (CC) average with the standard deviation were 7.57 ± 0.83 log10 and 6.54 ± 1.53 log10 CFU/mL, respectively. The prevalence of raw milk contaminated with TBC and TCC was 84 (88.4%) and 75 (78.9%), respectively. Lack of handwash practice before milking (AOR = 2.4 [95% CI: 0.35–16.4]) and using unclean milk containers (AOR = 7.47 [95% CI: 0.0023–28.64]) were found to be significantly associated with bacterial contamination of raw milk. The bacteria isolated were E. coli (30.7%), Staphylococcus aureus (16.7%), and Salmonella spp. (1.2%). Among isolated bacteria, 76.3% were extensive drug resistant, 13.2% were multidrug resistant, and 2.6% were resistant to all drugs tested in the current study. Conclusion. Guaranteed appropriate hygiene exercise during time of milking and clean containers reduced milk contamination. Doctors should consider resistance to drugs during the treatment of patients with milk disease.
Experimental Study on Mechanical Strength of Diesel-Contaminated Red Clay Solidified with Lime and Fly Ash
Authors: Song Yu , Zhang Mingzhi , Gan Xiaohui , Dong Shuaishuai , Ding Song , Geng Yukun , Li Jun
Published: June 2022

Diesel-polluted soil is unstable and easy to migrate with environmental changes and causes secondary pollution. In this paper, 0# diesel is used as the pollutant, and lime fly ash is selected as the solidifying material. This paper selects four curing ages of 7D, 14D, 21D, and 28D and four pollution concentrations of 0%, 5%, 10%, and 15%. 20%, 25%, 30%, and 35% four moisture content variables were used to conduct an unconfined compression test, direct shear test, and scanning electron microscope test on diesel-contaminated red clay. The results show that the curing age significantly affects the curing effect, and the curing age of 21D is the optimal age. The mechanical properties of the cured soil were the best at the optimum age and when the pollution concentration was 5%. The mechanical properties of the solidified soil with a moisture content of 30% are the best at the optimal age and the same pollution concentration. Additionally, the scanning electron microscope data indicate that when the pollution concentration increases, the cement created by the interaction of lime, fly ash, and pozzolan increasingly forms. The “oil film” generated by diesel oil seeping into the soil is bound and unable to fill the soil’s pores, hence reducing the soil’s strength.
Study on Intelligently Designed Business Innovation Service Models Driven by Big Data
Authors: Liu Huiying , Shang Jianfeng , Wan Gang
Published: June 2022

Although conventional business models have been increasingly affected in front of the big data technology application, it has also brought new opportunities and challenges for enterprise development. In order to create a higher value, enterprises should keep pace with the times and actively develop business innovation service models. The greatest value brought by data is to help enterprises find potential business value. It can provide a broader user market and channels, avoid homogeneous competition, and realize the integration of upstream and downstream value chains. In addition, it abandons the extensive development under the traditional model and allows enterprises to return to real value services, which is also an irresistible trend of business model transformation. This paper studies and analyzes business innovation service models. First, the business model as required is presented, and the management system and risk evaluation method are introduced. Then, the construction of the business service model is discussed, and the typical big data technologies are reviewed. Next, according to the evaluation theory of business model, the index system of business innovation service model is explored, which can examine the development of business model objectively and comprehensively. Last, the operations of the business model under the big data are analyzed. The research on the business model in this paper can be provided with universality and has a certain practical value for the development of business innovation service.
Comparison of Compressive Strength of M30 Grade Concrete with Destructive and Nondestructive Procedures Using Digital Image Processing as a Technique
Authors: Mahankali Sreenath , Valikala Giridhar
Published: June 2022

Destructive, semidestructive, and nondestructive methods are used to assess the compressive strength of concrete and its substantial mechanical property. In the destructive method, samples of concrete are crushed and treated under compression to determine its compressive strength. As such, the impact is seen on test results like the method of casting and compaction. The tests on concrete become limited in the destructive method and are confined to predict compressive strength, flexural strength, etc. To overcome its limitations and to study concrete matrix, semidestructive and nondestructive test methods came into limelight. Among nondestructive methods, strength prediction can be carried out using Schmidt’s rebound hammer test, ultrasonic pulse velocity test, image analysis techniques, radioactive tests, etc. Consequently, an advanced technique to predict the strength of the structural element using digital image processing technique has been introduced, and one can have a glimpse of the enlarged image, which quantifies and is used to assess the strength. The various characteristic features associated with the image help to calculate the strength of the structural element. A high‐pixel camera is used to take images of concrete cube samples, and they are analyzed with digital image processing techniques and a tool in MATLab or directly by making use of ImageJ software. In addition, digital image processing techniques are being implemented in various fields such as medical, industrial, remote sensing, and engineering. The present paper proposes to cast 150 × 150 × 150 mm‐sized M30 grade concrete cube samples and to study their strength after a period of 7 days and subsequently after 28 days. Destructive and nondestructive methods are used, and the samples are analyzed with digital image processing techniques using ImageJ software. The observed findings are discussed in the paper.
Clinical Nursing Paths Benefit Patient Outcomes Undergoing Transcatheter Arterial Chemoembolization for Hepatocellular Carcinoma
Authors: Gu Jing , Liang Yao
Published: June 2022

Objective. The purpose of the study is to investigate patient outcomes of transcatheter arterial chemoembolization (TACE) for hepatocellular carcinoma (HCC) under clinical nursing paths (CNP) and whether the application of CNP can be a protective factor against the recurrence of HCC. Methods. The study comprised of 48 patients who received TACE for HCC under the CNP (assigned into the CNP group) and 41 who received TACE for HCC under the routine care (assigned into the control group). Their treatment safety, pain, and psychology were compared. The nursing satisfaction and quality of life were investigated when patients were discharged from the hospital. A 6-month follow-up was performed to analyze the related factors affecting disease recurrence. Results. In the CNP group, the incidence rate of total adverse reactions, VAS scores, SAS and SDA scores were lower, but conversely, the satisfaction and SF-36 scores were higher than those in the control group (

P
<
0.05

). Logistic regression analysis revealed that advanced TNM stage, larger tumor diameter, greater Child-Pugh classification, and the presence of peripheral blood vessel invasion were independent risk factors of HCC recurrence (

P
<
0.05

). Conclusion. The study demonstrated that CNP intervention can improve the safety and quality of life of patients undergoing TACE for HCC and reduce their negative emotions and pain feelings, which is worthy of clinical application.
Application of Multiple Random Forest Algorithm in Image Segmentation of Nanoparticles
Authors: Ji Zhongyuan , Wang Yuchen
Published: June 2022

Because of its large specific surface area, small particle size, high surface energy, and unique nanoeffect, the morphological characteristics of nanoparticles are the key factors affecting the properties of materials. How to detect and evaluate the morphological characteristics of nanoparticles is the first problem to be solved in the preparation and application of nanomaterials. The main purpose of this paper is to use TEM to recognize the image features of nanoparticles and introduce the transmission electron microscope and image edge segmentation method and random forest algorithm. A method integrating the in situ characterization of modern electron microscopy and the measurement of the electrical properties of nanomonomers was developed. In this paper, a multielectrode TEM in situ electrical measurement platform is prepared, which improves the contact during the integration of nanomaterials and improves the electrical measurement accuracy of the TEM in situ electrical method. In this paper, based on the random forest algorithm, a multirandom forest algorithm is proposed. Due to the different gray levels of images referenced by the multirandom forest algorithm, the segmentation results are processed by FCM clustering algorithm. Experimental results show that in terms of image segmentation accuracy, the minimum Jaccard coefficient obtained by multiple random forest algorithm is 89% and 95%, respectively, which is obviously better than watershed segmentation method and maximum entropy threshold segmentation. In the aspect of automatic image segmentation of nanoparticles, the image segmentation accuracy is the highest when the sample block size and the number of sample blocks selected in the multiple random forest algorithm are 5∗5, 7500, and 35, respectively. Therefore, the multirandom forest algorithm has achieved high accuracy in image segmentation of nanoparticles, which provides valuable information for the preparation and application of nanomaterials. A new type of TEM dark‐field imaging diaphragm was prepared, which greatly improved the imaging quality of weak‐phase bulk materials represented by graphene and nonspiral biological samples represented by intracellular polyvesicles.
Research on Citizen Participation in Government Ecological Environment Governance Based on the Research Perspective of “Dual Carbon Target”
Authors: Chen Shiyong , Liu Nan
Published: June 2022

As the people’s demand for a better life is getting higher and higher, citizens’ requirements for the rural ecological environment are also constantly improving. At present, the deterioration of many rural environments and the cross‐flow of sewage have brought great challenges to the governance of the rural ecological environment. Therefore, the improvement in the ability and level of rural ecological environment governance is the key to winning the battle of rural ecological environment governance, and the participation of citizens in rural ecological environment governance is even more crucial to the improvement in the ability and level of rural ecological environment governance. At present, academic achievements on rural ecological environment governance are increasingly enriched, but there are few academic achievements on rural ecological environment governance from the perspective of citizen participation. Since public participation in ecological environment governance is still in the initial stage of development, there are many factors that affect the effective implementation and development of public participation in the ecological environment. For example, various factors such as the imperfect legal system related to citizens’ participation in rural ecological environment governance, weak awareness of citizen participation, and difficulty in determining the methods of citizen participation seriously hinder citizens’ participation. Improve the theme awareness and ability of citizens to participate in ecological environment governance and to improve the citizen participation mechanism in my country’s rural ecological environment governance. By analyzing and discussing the problems and countermeasures of public participation in environmental governance in my country, it is of positive significance to promote citizens’ participation in ecological environmental governance.
Landweber Iteration-Inspired Network for Image Super-Resolution
Authors: Li Xiaohui , Wang Ling , Liu Xinbo
Published: June 2022

Image super-resolution (SR) is one of the classical ill-posed image processing issues to generate high-resolution (HR) images from given low-resolution (LR) instances. Recent SR works aim to find an elaborate convolutional neural network (CNN) design and regard it as an end-to-end filter to map the image from LR space to HR space. However, seldom of them concentrate on the mathematical proof of network design or consider the problem from an optimization perspective. In this paper, we investigate the image SR based on the Landweber iteration method, which is an effective optimization method to find a feasible solution for the ill-posed problem. By considering the issue from the optimization perspective, we design a corresponding Landweber iteration-inspired network to adaptively learn the parameters and find the HR results. Experimental results show the proposed network achieves competitive or better subjective and objective performance than other state-of-the-art methods with fewer parameters and computational costs.
The Application of Internet of Things Data Analysis in the Development of International Trade
Authors: Qiuxia Hao , Yujie Hou
Published: June 2022

There are some problems in the application of current data analysis methods in international economy and trade, such as low service efficiency, low data utilization, and low degree of intelligence. Based on this, this paper studies the application of the Internet of things data analysis method in international trade development and economic and industrial growth. Firstly, the Internet of things economic data analysis model (IOT-EET model) based on simulated annealing early warning algorithm is established to store and analyze the data in the whole chain of international trade. Then, combined with the analysis methods of international trade economic data over the years, it is fed back to the IOT-EET model for error calibration. Finally, relevant experiments are designed to analyze the correlation between international trade development and national economic growth. The results show that compared with the traditional method based on module data analysis, this IOT-EET model can realize the correlation matching analysis of the data involved in the development of international trade in combination with the Internet of things technology and analyze the factors affecting international trade transactions. Therefore, it has the advantages of good reliability and strong pertinence.
Performance and Environmental Effects of CeO2/ZrO2 Nanocomposite in Triple Blend Methyl Ester of Pumpkin and Neem Seed Oil Dosed with Diesel on IC Engine
Authors: Dharsini P. Shalini Priya , Ahalya N. , Kaliappan S. , Sekar S. , Patil Pravin P. , Pragna Varasala , Pathinettampadian Gurusamy , Isaac JoshuaRamesh Lalvani J. , Menasbo Kibrom
Published: June 2022

The goal of this work is to evaluate the impact of CeO2/ZrO2 (CZ) nanocomposite materials on performance and emission characteristics of direct injection (DI) diesel engine fueled with ternary blends of pumpkin oil methyl ester (PME) and neem oil methyl ester (NME). The blend B20 (10% PME +10% NME +80% diesel) and various CZ nanocomposite blended fuels such as B20CZ25 (B20 +25 ppm CZ), B20CZ50 (B20 +50 ppm CZ), B20CZ75 (B20 +75 ppm CZ), and B20CZ100 (B20 +100 ppm CZ) were prepared and used for analysis. Pumpkin and neem seed oil were chose for this study due to noble economic feasibility, and they were transesterified with methanol and sodium hydroxide (NaOH) in order to get corresponding methyl esters. The experimental findings demonstrates that adding CZ nanocomposite improves brake thermal efficiency (BTE) and reduces brake specific fuel consumption (BSFC) at full load, as well as being beneficial in reducing harmful gases such as carbon monoxide (CO), hydrocarbon (HC), and nitrogen oxides (NOx). The study suggested that CZ nanocomposite with ternary blend will be a viable new strategy for improving engine performance and lowering emission characteristics without modifying the engine.
Cholecystokinin Octapeptide Promotes ANP Secretion through Activation of NOX4–PGC-1α–PPARα/PPARγ Signaling in Isolated Beating Rat Atria
Authors: Han Zhuo-na , Lin Xiao-xue , Wang Yue-ying , Ding Ran , Hong Lan , Cui Xun
Published: June 2022

Atrial natriuretic peptide (ANP), a canonical cardiac hormone, is mainly secreted from atrial myocytes and is involved in the regulation of body fluid, blood pressure homeostasis, and antioxidants. Cholecystokinin (CCK) is also found in cardiomyocytes as a novel cardiac hormone and induces multiple cardiovascular regulations. However, the direct role of CCK on the atrial mechanical dynamics and ANP secretion is unclear. The current study was to investigate the effect of CCK octapeptide (CCK-8) on the regulation of atrial dynamics and ANP secretion. Experiments were performed in isolated perfused beating rat atria. ANP was measured using radioimmunoassay. The levels of hydrogen peroxide (H2O2) and arachidonic acid (AA) were determined using ELISA Kits. The levels of relative proteins and mRNA were detected by Western blot and RT-qPCR. The results showed that sulfated CCK-8 (CCK-8s) rather than desulfated CCK-8 increased the levels of phosphorylated cytosolic phospholipase A2 and AA release through activation of CCK receptors. This led to the upregulation of NADPH oxidase 4 (NOX4) expression levels and H2O2 production and played a negative inotropic effect on atrial mechanical dynamics via activation of ATP-sensitive potassium channels and large-conductance calcium-activated potassium channels. In addition, CCK-8s-induced NOX4 subsequently upregulated peroxisome proliferator-activated receptor γ (PPARγ) coactivator-1α (PGC-1α) expression levels through activation of p38 mitogen-activated protein kinase as well as the serine/threonine kinase signaling, ultimately promoting the secretion of ANP via activation of PPARα and PPARγ. In the presence of the ANP receptor inhibitor, the CCK-8-induced increase of AA release, H2O2 production, and the upregulation of NOX4 and CAT expressions was augmented but the SOD expression induced by CCK-8s was repealed. These findings indicate that CCK-8s promotes the secretion of ANP through activation of NOX4–PGC-1α–PPARα/PPARγ signaling, in which ANP is involved in resistance for NOX4 expression and ROS production and regulation of SOD expression.
Evaluation of Spatial and Temporal Performance of Deep Learning Models for Travel Demand Forecasting: Application to Bike-Sharing Demand Forecasting
Authors: Lee Jaehyung , Kim Jinhee
Published: June 2022

Deep learning approaches are widely employed for forecasting short-term travel demand to respond to real-time demand. Although it is critical for demand forecasting to be evenly distributed in the spatial and temporal views to support real-time mobility service operations, in related studies, the predictive performance of models has been evaluated only in terms of aggregated errors. Therefore, the present study was conducted to investigate the distribution of errors to explore spatiotemporal correlations. Six deep learning models with the same architecture, except for the base module, consisting of three stacked layers, were constructed. These models were used to forecast demands for a station-based bike-sharing service in Seoul, South Korea. To attain our goals, global and local Moran’s I of the errors was introduced to evaluate the spatial and temporal performances of the deep learning approaches. The results showed that the model with convolutional long short-term memory layers, which are effective at predicting spatiotemporal data, outperformed the other models in terms of aggregated performance. However, the global Moran’s I of the errors in the model reflects spatial dependency over the regions. This suggests that the best predictive performance of the model does not necessarily imply that it performs well in demand forecasting in all regions. Furthermore, cluster and outlier analyses of the errors indicated that excessive or insufficient predictions were clustered or dispersed throughout the regions. These results can be used to enhance the model by introducing the spatial correlation index into the loss function or by incorporating additional features for handling spatial correlations.
Theoretical Study on the Consolidation of Multiple Composite Foundations with Vertical Drains‐Impervious Piles considering Temperature Effect and Nonuniform Distribution of Initial Pore Pressure
Authors: Zhang Yuguo , Zhao Yamin , Wang Chuang , Yang Wenbing
Published: June 2022

For the problem of consolidation of multiple composite foundations of vertical drain‐impervious pile, considering the influence of temperature and nonuniform distribution of initial pore pressure, the consolidation control equations based on the assumption of equal strain are established, and the analytical solution method is adopted to give the analytical solution of consolidation of multiple composite foundations of the vertical drain‐impervious pile with trapezoidal, rectangular, positive triangular, and inverted triangular distribution of initial pore pressure. The correctness and reasonableness of the solutions are verified by comparing the degenerate solutions of this paper with the existing solutions. The consolidation properties of the multifaceted composite foundation are analyzed according to the solution of this paper. The results show that the initial pore pressure is faster to consolidate in a trapezoidal distribution than in a rectangular distribution, fastest to consolidate in an inverted triangular distribution and slowest to consolidate in a positive triangular distribution. The rate of consolidation of a multiple composite foundation can be significantly accelerated by increasing the temperature, the replacement rate of impervious piles, and the compression modulus. The rate of consolidation of a multiple composite foundation can be significantly increased compared to a single pile type foundation; the size of the permeability coefficient of the vertical drain almost represents the size of the drainage capacity of the composite foundation. The rate of consolidation of a multiple composite foundation is faster as the permeability coefficient of the vertical drain increases.
Optimal Decisions and Implementation Efficiency of the Extended Producer Responsibility System for E-Waste under Take-Back Legislations
Authors: Wang Zhe , Wang Xiaobo , Li Bangyi , Cheng Yongbo
Published: June 2022

The collection and reuse of the e-wastes have attracted increasing attention all over the world. In order to incentivize the producer to collect and recover the e-waste, more and more countries have formulated the take-back legislation with the economic or administrative instruments based on the spirit of extended producer responsibility (EPR). Facing two different types of policy instruments (economic or administrative instrument), how the take-back legislation affects the collection and reuse of the e-waste and how to ensure the efficiencies of the two types of take-back legislation have attracted the public’s attention. Therefore, this paper establishes a stylized model consisting of a monopoly manufacturer who is responsible for collection and remanufacturing under two different types of the take-back legislation. The manufacturer’s optimal production, collection, remanufacturing decisions, and optimal profit are derived using Karush–Kuhn–Tucker (KKT) conditions. Sensitivity analysis shows that stricter mandated collection rate hurts the manufacturer’s profit, but the effects of the government’s subsidy and tax on the manufacturer’s optimal decisions rely on the cost of the new product. The firm needs to adjust the cost of the new products corresponding to the specific subsidy and tax. Finally, a neutral fiscal policy is proposed to determine the government’s optimal subsidy and tax in order to ensure the consistency of the efficiencies of the two types of take-back legislation. The government should set that the ratio of the optimal tax and subsidy under the neutral fiscal policy is exactly consistent with the mandatory collection target. This policy aims to guide the manufacturer’s voluntary collection rate to meet the government’s mandated collection target and thus change the mandatory collection mode to the voluntary collection mode.
Beyond Reciprocity: Forgiveness, Generosity, and Punishment in Continuing Dyadic Interactions
Authors: Rumble Ann C. , Willcox Kevin , Imada Hirotaka , Yansen Dejah
Published: June 2022

There is a long-standing debate in philosophy and the social sciences about how selfishness and cooperation function in dyadic social exchanges. Dyads are the foundation of our social lives, and reciprocity has long been considered the dominant strategy for dyadic interactions. We will argue the repertoire of human behavior during social exchanges ranges from punishment to generosity, and that the nuances of the relationship and interaction will dictate which behavior is likely to occur. We will examine emotional consequences of punishment, reciprocity, and forgiveness in long-term dyadic social exchanges. Finally, we argue that dyads move beyond reciprocity to a more forgiving, generous strategy to reestablish cooperation, and continue the relationship when noncooperation arises, once the motivations shift has occurred.
The Application of Rehabilitation Therapy Occupational Competency Evaluation Model in the Improvement of College Students’ Innovation and Entrepreneurship
Authors: Liang Zhenghan
Published: June 2022

This paper constructs an evaluation model of occupational competency in rehabilitation therapy and applies it to the improvement of college students’ innovative and entrepreneurial competencies. Based on clarifying the connotation of college students’ entrepreneurial competency, this study carries out research on the evaluation system of college students’ entrepreneurial competency. First, the method of qualitative research is used to conduct in-depth interviews with college students and entrepreneurial mentors to understand the views of these groups on college students’ entrepreneurial competency, and the coding of the interview contents is carried out by applying the rooting theory, and finally, a theoretical model of the composition of college students’ entrepreneurial competency is derived. The front-line position of talent cultivation is the construction of faculty, because the faculty with high-quality vocational ability is an indispensable prerequisite for the development of universities, and the teaching level of the faculty is the key factor for the effectiveness of teaching to appear. Based on the perspective of role theory, we analyze the problems and reasons for the lack of competency in the role-playing process; integrate the three stages of understanding the role, playing the role, and adjusting the role with the competency model; and propose strategies to improve the competency of youth social workers in the process of playing the role, to help workers accurately understand the role, correctly play the role, and reasonably adjust the role. The curriculum is designed to cultivate the competency of college student nursing positions, which is conducive to improving the professional quality of college student nursing service providers and regulating college student nursing practice so that they can actively respond to problems. This will strengthen the entire teaching faculty and enhance the professional competence of full-time teachers.
Proteomic Analysis of Chicken Chorioallantoic Membrane (CAM) during Embryonic Development Provides Functional Insight
Authors: Ahmed Tamer A. E. , Cordeiro Cristianne M. M. , Elebute Oluwadara , Hincke Maxwell T.
Published: June 2022

In oviparous animals, the egg contains all resources required for embryonic development. The chorioallantoic membrane (CAM) is a placenta‐like structure produced by the embryo for acid‐base balance, respiration, and calcium solubilization from the eggshell for bone mineralization. The CAM is a valuable in vivo model in cancer research for development of drug delivery systems and has been used to study tissue grafts, tumor metastasis, toxicology, angiogenesis, and assessment of bacterial invasion. However, the protein constituents involved in different CAM functions are poorly understood. Therefore, we have characterized the CAM proteome at two stages of development (ED12 and ED19) and assessed the contribution of the embryonic blood serum (EBS) proteome to identify CAM‐unique proteins. LC/MS/MS‐based proteomics allowed the identification of 1470, 1445, and 791 proteins in CAM (ED12), CAM (ED19), and EBS, respectively. In total, 1796 unique proteins were identified. Of these, 175 (ED12), 177 (ED19), and 105 (EBS) were specific to these stages/compartments. This study attributed specific CAM protein constituents to functions such as calcium ion transport, gas exchange, vasculature development, and chemical protection against invading pathogens. Defining the complex nature of the CAM proteome provides a crucial basis to expand its biomedical applications for pharmaceutical and cancer research.
Study on Ultraviolet Aging Performance of Composite Modified Asphalt Based on Rheological Properties and Molecular Dynamics Simulation
Authors: Gao Mingxing , Fan Conghao , Chen Xinxin , Li Meijian
Published: June 2022

In order to study the effect of UV aging on asphalt performance, the asphalt four-component test, dynamic shear rheology test, and flexural creep stiffness test were combined with molecular dynamics simulation to matrix asphalt and rubber powder/styrene-butadiene rubber/polymerization. The properties of phosphoric acid/epoxy resin modified asphalt before and after UV aging were analyzed, and the mechanism of UV aging was discussed. Research shows that modified asphalt has better high and low temperature performance and mechanical properties than matrix asphalt. After aging, the asphaltene content increases, and the gum and light components decrease. When unaged, the modified asphalt has more asphaltenes than the matrix asphalt, and the change after UV aging is less than the matrix asphalt. With the progress of UV aging, the rutting factor gradually increases, the phase angle gradually decreases, and the high-temperature performance of the asphalt is improved; the stiffness modulus gradually increases, the creep rate gradually decreases, and the low-temperature capability of the asphalt is weakened; cohesive energy density increases, the intermolecular interaction becomes stronger, and the solubility parameter becomes smaller, which reduces the compatibility between the asphalt and the modifier and increases the elastic modulus, bulk modulus, and shear modulus, improving the high-temperature mechanical properties of the asphalt. Based on the rheological properties, composition changes, and molecular model parameters of the modified asphalt, the anti-ultraviolet aging ability of the modified asphalt is better than that of the matrix asphalt.
Image Features of Dynamic Enhanced Computed Tomography Scanning Combined with Digestive Endoscopy in the Treatment of Gastroesophageal Varices and Nursing of Esophagogastric Gastric Varices Bleeding
Authors: Ding Huijun
Published: June 2022

The objective of this study was to investigate the application of dynamic contrast-enhanced CT images in the nursing of patients with gastroesophageal varices (GOV) treated by digestive endoscopy and its role in relieving bleeding symptoms. A total of 60 patients with liver cirrhosis and GOV were selected as the research objects. According to whether CT was used to evaluate the position of tissue adhesion embolism, the patients were divided into the control group (24 cases) and the observation group (36 cases). The treatment effect and bleeding situation of patients in the two groups were analyzed and compared. The results showed that the main portal vein pressure (

17.24
±
1.02

 cmH2O), liver function recovery effect (

2.84
±
0.45

points), and total effective rate (100%) in observation group were better than those in control group (

9.70
±
1.22

 cmH2O,

0.95
±
0.72

points, and 79.17%, respectively) (

P
<
0.05

). In addition, the bleeding rate in observation group (0%) was significantly lower than that in control group (16.67%) (

P
<
0.05

). In conclusion, dynamically enhanced CT scan images combined with digestive endoscopy can help improve the therapeutic effect of GOV and reduce postoperative bleeding, which was worthy of clinical application and promotion.
Convolution Results and Fekete–Szegö Inequalities for Certain Classes of Symmetric q‐Starlike and Symmetric q‐Convex Functions
Authors: Seoudy Tamer M.
Published: June 2022

In this paper, by using the concept of the symmetric q‐difference operator, we introduce certain classes of symmetric q‐starlike and symmetric q‐convex functions. Convolution results, coefficient estimates, and Fekete–Szegö inequalities for the analytic functions belonging to these classes are obtained.
Computed Tomography Image Analysis of Body Fat Based on Multi‐Image Information
Authors: Zang Wei , Zhu Fengrui , Yu Yang
Published: June 2022

Body fat assessment is required as part of an objective health assessment, both for nonobese and obese people. Image‐based body fat assessment will enable faster diagnosis. Body fat analysis that accounts for age and sex will help in both diagnosis and correlating diseases and fat distribution. After evaluating computed tomography imaging algorithms to identify and segment human abdominal and subcutaneous fat, we present an improved region growing scale‐invariant feature transform algorithm. It applies Naive Bayes image thresholding for key point selection and image matching. This method enables rapid and accurate comparison and matching of images from multiple databases and improves the efficiency of image processing.
On the Prediction of Product Aesthetic Evaluation Based on Hesitant‐Fuzzy Cognition and Neural Network
Authors: Wu Xinying , Yang Minggang , Su Zishun , Zhang Xinxin
Published: June 2022

Product market competitiveness is positively influenced by the aesthetic value of product form, which is closely related to product complexity. By measuring the cognitive complexity of the product, this research establishes the relationship between the complexity and aesthetics of the product using an artificial neural network. Hence the prediction of product beauty is achieved, which guides design decisions. In this article, the complexity of product form is first measured through a combination of hesitant‐fuzzy theory and information axiom. Afterward, the result is weighted by exponential entropy and dimensionally compressed. This method makes data more suitable for the prediction with small samples, obtaining an accuracy improvement of up to 40% compared with traditional approaches. Finally, the importance order of the design elements which affect morphological complexity is acquired. Results show that three of the six complexity features (element number, object intelligence, and object detail) are more significant, impacting the aesthetic feeling of product form. The method increases the attractiveness of products to customers, providing valuable design support for enterprises and designers in the early days when a new product is designed, and reducing research and development risks.
Application of CT Scan in Diagnosis of Iliac-Femoral Vein Thrombosis after Hip Replacement
Authors: Li Dong , Wang Lishan , Li Zhanxin , Li Libin , Wang Qingwei , Zhang Li , Guo Zhigang
Published: June 2022

Based on the knowledge of the previous film, the CT scan was used to diagnose the disease of women and men after the diagnosis of atherosclerosis by scanning the CT microscope. This article first examines the existing medical procedures in China, highlighting the advantages and disadvantages of various systems in terms of usability and user experience. Combined with the actual needs of hospitals, this paper developed a set of preoperative intelligent measurement system (MIPS) based on pattern recognition for total skeletal joint replacement. It is beneficial for doctors to better observe the lesions of patients before surgery and carry out necessary operations in the PATIENT DR film. In the process, the model is used to identify the patient, and the patient is given a fake score based on the characteristics of the DR film. In nonsymptomatic patients, 13.5% had muscle

contraction
>
50
%

, 2.0% had muscle contraction 70%, and the mean pelvic area was 23.48%. The left ventricular muscle has a 45.0% contraction rate, the left ventricle has a 70% contraction, and the median contraction rate is 47.58%. The right muscle, which is inserted between the right artery and the inner lymphatic artery, is the most common type of compression of the right muscle, accounting for 59.26%. In terms of the mean muscle contraction rate on the right side, patients with DVT with right muscles were higher than patients with DVT with left ventricles (48.54% to 22.29%,

P
<
0.001

). The mean incidence of left ventricular DVT patients was higher than that of right ventricular DVT patients (71.88% versus 45.83%

P
<
0.0011

).
Posterior Lumbar Plexus Block Anesthesia for Elderly Patients with Lower Limb Fracture
Authors: Xu Zhenwen , Li Songpeng , Wu Jianhua , Fu Yun
Published: June 2022

The incidence rate of lower limb fractures is high and has increased over the recent years, which affects the physical and mental health and the daily activities of patients. Lower limb fractures are often treated surgically. Therefore, an effective anesthesia regimen is crucial for a smooth and stable operation. To investigate the efficacy of posterior lumbar plexus block anesthesia during surgery for elderly patients with lower extremity fractures. In total, patients were divided into study and control groups. Anesthesia was administered by posterior lumbar plexus nerve block in the study group and epidural anesthesia in the control group. Hemodynamic parameters, anesthesia condition, pain level (VAS), and adverse effects were measured in both groups before anesthesia (T0), at anesthesia induction (T1), 30 min into the operation (T2), and at the end of the operation (T3). At T0, there were no significant differences in MAP and HR between the study and control groups. However, MAP and HR in the study group were significantly lower than those in the control group at T1, T2, and T3. The BIS value of the study group at each time point after anesthesia was significantly lower than that of the control group. The onset and induction time of anesthesia in the study group were also significantly shorter than those in the control group. Preoperative VAS scores did not differ between the study and control groups. However, the VAS scores of the study group at each time point were significantly lower than those of the control group. There was no significant difference in the incidence of adverse reactions between the two groups. Our results suggest that anesthesia with posterior lumbar plexus block surgery for lower extremity fractures in elderly patients can maintain hemodynamic stability and reduce block onset time, anesthesia induction time, and pain.
Ldasip: A Lightweight Dynamic Audit Approach for Sensitive Information Protection in Cloud Storage
Authors: Lin Li , Tan WenTing , Chu ZhenXing
Published: June 2022

How to audit the integrity of data stored on the cloud with incomplete trust is an important problem that restricts the development of cloud storage. Although there are several data integrity audit schemes in cloud storage, the increased need to protect sensitive information and support large-scale data storage and dynamic update will result in a significant increase in audit cost, which seriously affects the efficiency of existing cloud audit systems. To solve this problem, we propose Ldasip, a lightweight dynamic auditing method that supports sensitive information protection in cloud storage. Exploiting identity-based data integrity audit, a data masking technology is introduced into to protect user’s sensitive information. At the same time, an improved multibranch tree structure is proposed to realize dynamic audit and reduce communication overhead in the verification process. Theoretical analysis and comprehensive experiments have been conducted, which demonstrate the effectiveness of Ldasip. The results show that Ldasip can ensure the correctness of the audit, protect the sensitive information in the user's stored content, and support the dynamic update of data with less audit time and communication overhead.
Pomegranate (Punica granatum) Peel Inhibits the In Vitro and In Vivo Growth of Piroplasm Parasites
Authors: Eltaysh Rasha , Rizk Mohamed Abdo , Elmishmishy Bassem , El-Sayed Shimaa Abd El-Salam , Abouelnasr Khaled , Igarashi Ikuo
Published: June 2022

Pomegranate (Punica granatum) peel has seen a rapid surge in attention as a medical and nutritional product over the last decade. The impact of pomegranate peel methanolic extract monotherapy and combination therapy on the in vitro growth of Babesia (B.) bovis, B. bigemina, B. divergens, B. caballi, and Theileria (T.) equi, as well as B. microti in mice, was investigated in this work. Fluorescence-based SYBR green I assay was used for evaluating the inhibitory antibabesial efficacy of pomegranate (Punica granatum) peel against the growth of several piroplasm parasites in vitro and in vivo. Celltac α MEK-6450 computerized haematology analyzer was used for monitoring the haematological parameters of treated mice every 4 days. Pomegranate peel inhibited the in vitro growth of B. bovis, B. bigemina, B. divergens, T. equi, and B. caballi in a dose-dependent manner, with IC50 values of

154.45
±
23.11

,

40.90
±
9.35

,

72.71
±
14.77

,

100
±
16.20

, and

77.27
±
16.94
 
μ
g
/
ml

, respectively. On a B. bovis culture, the in vitro inhibitory effect of pomegranate peel was amplified when it was combined with diminazene aceturate (DA). Combination therapy of pomegranate peel and a low dose of DA (15 mg kg-1) inhibited B. microti growth significantly (

P
<
0.05

) higher than the treatment with the full dose of DA (25 mg kg-1) in B. microti-infected mice. These findings suggest that pomegranate peel might be a potential medicinal plant for babesiosis treatment, especially when combined with a low dosage of DA.
Inhibition of DEK Enhances Doxorubicin-Induced Apoptosis and Cell Cycle Arrest in T-Cell Acute Lymphoblastic Leukemia Cells
Authors: Tian Xiaoxue , Zhu Zeyu , Wang Guangming , Xu Jun , Liang Aibin , Zhang Wenjun
Published: June 2022

T-cell acute lymphoblastic leukemia (T-ALL) is a serious hematological tumor derived from early T-cell progenitors, which is extremely resistant to chemotherapy. Classically, doxorubicin (DOX) is an effective first-line drug for the treatment of T-ALL; however, DOX resistance limits its clinical effect. The DEK proto-oncogene (DEK) has been involved in neoplasms but remains unexplored in T-ALL. We silenced DEK on Jurkat cells and detected cell proliferation with cell counting and colony formation assay. Then, we detected DEK’s drug sensitivity to DOX with CCK-8, cell cycle, and apoptosis with DOX treatment. Western blot analysis was performed to determine protein expression of apoptosis and cell cycle-related genes, including BCL2L1, caspase-3, and cyclin-dependent kinases (CDK). Finally, the tumorigenic ability of DEK was analyzed using a BALB/C nude mouse model. In this study, DEK was highly expressed in Jurkat cells. Inhibition of DEK can lead to decreased cell proliferation and proportion of S-phase cells in the cell cycle and more cell apoptosis, and the effect is more obvious after DOX treatment. Western blot results showed that DOX treatment leads to cell cycle arrest, reduction of cyclin-dependent kinase 6 (CDK6) protein, accumulation of CDKN1A protein, and DOX-induced apoptosis accompanied by reductions in protein levels of BCL2L1, as well as increases in protein level of caspase-3. Furthermore, DEK-silenced Jurkat cells generated a significantly smaller tumor mass in mice. Our study found that DEK is a novel, potential therapeutic target for overcoming DOX resistance in T-ALL.