bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the College Students’ Venture Risk Assessment Model Based on the LightGBM Algorithm
Authors: Feng Bibo , Zhang Lingli
Published: September 2022

There are numerous risk factors in the school students’ entrepreneurial process. In order to advance the accuracy of school students’ entrepreneurial risk assessment within entrepreneurial practice background and reduce risk management factors, a model of school students’ entrepreneurial risk assessment grounded on the LightGBM algorithm is proposed. We construct the statistical probability density distribution and constraint parameter model of college students’ entrepreneurial risk distribution in an entrepreneurial practice environment. Moreover, we adopt the factor hierarchical classification technology of the evaluation index system to realize the framework model construction and big data fusion processing of college students’ entrepreneurial risk indicators in the entrepreneurial practice environment. Then, we extract the joint similarity feature set of college students’ entrepreneurial risk factors in the entrepreneurial practice environment and adopt the LightGBM feature detection and fuzzy matching technology. The self-adaptive optimization and fuzzy clustering analysis are realized in the procedure of school students’ entrepreneurial risk assessment under the entrepreneurial practice environment, and a fuzzy Bayesian network assessment model for school students’ entrepreneurial risk assessment under the entrepreneurial practice environment is constructed. The Delphi method is used to determine the pairwise influence relationship between factors, and the LightGBM algorithm is used to optimize the evaluation of college students’ entrepreneurial risk factors under the entrepreneurial practice environment and match rough set features. According to the comprehensive evaluation of entrepreneurial risk factors, the intelligent entrepreneurial risk assessment under the entrepreneurial practice environment is comprehended. The simulation outcomes confirm that the intelligence of college students’ entrepreneurial risk assessment in the entrepreneurial practice environment is improved, and the precision of risk assessment is greater than other approaches.
Prime Decomposition of Zero Divisor Graph in a Commutative Ring
Authors: Kuppan A. , Ravi Sankar J.
Published: September 2022

Let R be a commutative ring and let

Γ

Z

n

be the zero divisor graph of a commutative ring

R

, whose vertices are nonzero zero divisors of

Z

n

, and such that the two vertices

u
,
v

are adjacent if

n

divides

u
v

. In this paper, we introduce the concept of prime decomposition of zero divisor graph in a commutative ring and also discuss some special cases of

Γ

Z

3
p

,

Γ

Z

5
p

,

Γ

Z

7
p

, and

Γ

Z

p
q

.
Correlation between Glycated Haemoglobin Level, Cardiac Function, and Prognosis in Patients with Diabetes Mellitus Combined with Myocardial Infarction
Authors: Zeng Guangwei , An Huixian , Li Wei , Fang Dong , Sun Mengna , Zheng Qiangsun
Published: September 2022

Objective. This study was to investigate the correlation between glycated haemoglobin (HbA1c) level, cardiac function, and prognosis in patients with diabetes mellitus combined with myocardial infarction. Methods. Ninety-three patients with type 2 diabetes mellitus combined with acute myocardial infarction who were hospitalized and treated in our hospital from January 2021 to June 2021 were recruited for prospective analysis and equally divided into group A (

HbA
1
c
<
6.5
%

), group B (

6.5
%
≤
HbA
1
c
≤
8.5
%

), and group C (

HbA
1
c
>
8.5
%

) using the random number table method, with 31 patients in each group. General data of patients were collected on admission and blood glucose and cardiac function indexes were measured; the incidence of myocardial infarction and death during the follow-up period was recorded at 6 months after discharge. Results. There was a significant difference in blood glucose (FBG) and HbA1c levels at fasting between the three groups (

P
<
0.05

). There were statistically significant differences in plasma levels of N-terminal probrain natriuretic peptide (NT-proBNP) and uric acid (UA), left ventricular end diastolic diameter (LVEDD), left ventricular end systolic volume (LVESV), left ventricular ejection fraction (LVEF), and cardiac function classification of the New York Heart Association (NYHA) among the three groups (

P
<
0.05

). By statistical analysis, the HbA1c level was positively correlated with FBG, NT-proBNP, UA, LVEDD, LVESD, and NYHA grades but negatively correlated with LVEF (

P
<
0.05

). The incidence rate of myocardial infarction and mortality was significantly higher in group C than in groups A and B (

P
<
0.05

). Conclusion. HbA1c level in patients with diabetes mellitus combined with myocardial infarction is closely related to the degree of cardiac function damage. Glycated haemoglobin levels are associated with the development of cardiac insufficiency in patients with acute myocardial infarction; glycated haemoglobin is also an independent predictor of major adverse cardiovascular events. Reasonable and effective blood glucose control is of great significance to the prognosis of patients.
Reinforcement of Concrete Shoring Systems by Prestressing
Authors: Mekdash Hani , Jaber Lina , Temsah Yehya , Sadek Marwan
Published: September 2022

Reinforced concrete piles are useful structural elements to support deep excavations. A pile wall is usually supported by one or several rows of anchors, depending on the depth of the excavation and the nature of the soil retained. The purpose of this work is to investigate the efficacy of posttensioned piles in retaining a 10.0 m deep excavation without using tieback anchors. In addition to the conventional passive steel reinforcement, the piles in this system include steel strands placed eccentrically in their sections, and they are referred to as posttensioned piles. The performance of posttensioned piles is investigated using the finite element modeling software PLAXIS 2D. The results are experimentally validated on a large‐scale construction site. The horizontal displacement of posttensioned piles in a 10 m deep excavation was found to be within allowable limits with a 7.36% difference in the horizontal displacement of pile top at the final excavation level in PLAXIS 2D. In terms of cost, PTP is executed at 35% cost less than the conventional reinforced method.
Temporal Release and Denature of Several Mediators in Pure Platelet-Rich Plasma and Temperature-Induced Platelet Lysates Derived from a Similar Bovine Platelet Concentrate
Authors: Carmona Jorge U. , López Catalina , Ceballos-Márquez Alejandro
Published: September 2022

There is scarce information about bovine platelet-rich plasma/platelet-rich gel (PRP/PRG) and related hemocomponents (HCs), such as platelet lysates (PLs), including growth factor (GF) and cytokine concentrations, and how the stability of these biomolecules could be affected by time and temperature. This study aimed to evaluate the release and stability of transforming growth factor beta 1 (TGF-β1), interleukin 4 (IL-4), and tumor necrosis factor alpha (TNF-α) contained in bovine pure PRP (P-PRP) and temperature-induced PL (TIPL) coming from a similar platelet concentrate (PC) at 4 and 37°C at 3 and 96 h. Platelet concentrates (PCs) presented a 1.7-fold concentration of platelets (PLTs) with negligible counts of white blood cells (WBCs) when compared to the counts for these cells in whole blood. TGF-β1 concentrations were significantly lowest in plasma followed by TIPL, chemical-induced PL (CIPL), and P-PRP. IL-4 and TNF-α concentrations did not differ between HCs. TGF-β1 concentrations were negatively affected in P-PRPs stored at 4°C at 3 and 96 h, whereas those from P-PRP maintained at 37°C presented similar concentrations to TIPL stored at both temperatures over time. IL-4 and TNF-α concentrations were not affected by time or temperature in any of the HCs evaluated. Pure PRGs released additional quantities of GF and cytokines over time when compared with HCs stored over 96 h at 4 and 37°C. The method, either chemical or physical, used for platelet activation or damage produces a different GF and cytokine release pattern, which makes to each evaluated HCs different despite they come from a similar bovine PC. P-PRP activated with calcium gluconate and maintained at 37°C, which polymerizes in P-PRG, showed the best GF and cytokine release/denature profile compared with the rest of the HCs evaluated.
The Second Hankel Determinant of Logarithmic Coefficients for Starlike and Convex Functions Involving Four-Leaf-Shaped Domain
Authors: Alshehry Azzh Saad , Shah Rasool , Bariq Abdul
Published: September 2022

In this particular research article, we take an analytic function

Q

4
L

=
1
+
5
/
6
z
+
1
/
6

z

5

, which makes a four-leaf-shaped image domain. Using this specific function, two subclasses,

S

4
L

∗

and

C

4
L

, of starlike and convex functions will be defined. For these classes, our aim is to find some sharp bounds of inequalities that consist of logarithmic coefficients. Among the inequalities to be studied here are Zalcman inequalities, the Fekete-Szegö inequality, and the second-order Hankel determinant.
Learning Obstacles in the Making of Lesson Plans by Prospective Mathematics Teacher Students
Authors: Prabowo Ardhi , Suryadi Didi , Dasari Dadan , Juandi Dadang , Junaedi Iwan
Published: September 2022

Prospective mathematics teachers’ students must be able to build didactic situations that encourage students to actively learn. They must also be able to develop lesson plans independently. The facts found include lesson plans in the form of drill activities and the activity of downloading lesson plans from the Internet rather than compiling the lesson plans themselves, which are problems that need to be resolved. This study aims to analyse the learning obstacles experienced by prospective mathematics teacher students in preparing lesson plans. This research was a qualitative didactic design research with a focus on the analysis of didactic and metadidactic situations. The research subjects were three easily accessible prospective teachers, lecture administrators, lecturers from certain courses, and program administrators. Lecturers were chosen through the snowball method. The analysis of prospective teachers learning obstacles was conducted by analysing their actions, formulations, and validations during courses on curriculum analysis, media, and microteaching. The results showed that there were (1) ontogenic obstacles, namely, the readiness of students to attend lectures; (2) didactic obstacles, namely, imperfect learning materials and SLPs (semester lecture plans) that did not include elaborating and studying basic competence as indicators; and (3) epistemological obstacles, namely, the lack of opportunities for students to practise in the field, confirm, and validate the work they had produced with practitioners (i.e., school mathematics teachers). The results showed that there were ontogenic obstacles to student readiness, a didactic obstacle to learning materials used in lectures, and epistemological obstacles to the absence of interaction with schoolteachers. After knowing the learning obstacle of mathematics learning planning lectures, this research has implications for the development of lecture designs that encourage students to produce lesson plans. The lesson plans produced by students make school students learn actively.
Application of Data-Driven Tuned Fuzzy Inference System for Static Equivalencing of Power Systems with High Penetration of Renewable Energy
Authors: Hailu Engidaw Abel , Nyakoe George Nyauma , Muriithi Christopher Maina
Published: September 2022

To reduce the complexity of multiarea power systems during power flow study and security assessment, equivalencing of external power systems is essential. In this paper, external power systems are modeled as adaptive loads representing the tie-line flows varying with system operating conditions. The fuzzy inference system tuned by hybrid genetic-simulated annealing (HGSA-FIS) is proposed to predict the active and reactive power of adaptive loads from forecasted renewable energy (RE) generation and loads demand. The performance of proposed equivalent has been evaluated with an RTS-GMLC by comparing the power flow results in the internal system before and after equivalencing under varying RE and load demand scenarios. The results demonstrate the robustness of HGSA-FIS-based equivalent under varying RE generation and load demand. Furthermore, the proposed equivalent performs close to ANN-based equivalent and outperforms ANFIS-based equivalent. To practically implement the proposed approach, the neighboring system operators are required to exchange only the forecast data of RE generation and load demand, and the equivalent needs to be updated upon major grid changes.
Challenges and Strategies of Student Management in Universities in the Context of Big Data
Authors: Zhang Yongzhi
Published: September 2022

As the most active and knowledge-intensive university, the forefront of the use of network information technology, the education, management, and service mode of the school, and the ideology, learning methods, and behavioural habits of teachers and students will be profoundly affected by the era of big data. The current form of student management in universities is too old and needs to be replaced by a new management system. With the promotion of the construction of smart campus, the rapid development of big data technology has realised the innovation of student management in colleges and universities. This paper takes students of Wuhan University as the research object. By collecting various application data in the campus information system, the K-means algorithm in cluster analysis is used to classify students’ campus behavioural characteristics, and then the Apriori algorithm is used to correlate students’ behavioural characteristics with their academic performance. The experimental results show that there is a close relationship between the consumption behaviour, work and rest behaviour, study behaviour characteristics of different student groups, and their academic performance. Using the results of these analyses, universities can adopt differentiated management measures for different categories of students, which can help improve students’ academic performance as well as further enhance the efficiency of student management.
Influence of High-Performance Composite Sports Equipment on Brand International Sports Marketing Strategy
Authors: Lyu Xiadi
Published: September 2022

With the continuous development of society, people are paying more attention to sports. In order to make sports brands go to the international market, it is necessary to adopt an international marketing strategy for sports brands. However, due to the late development of most sports brands, the main sports brand market is the mid-to-low-end market. Sports brands have little investment in scientific research and technology and build the market with celebrity endorsements or ultra-low prices. This leads to the lack of an international market for most sports brands, and the sports brands cannot be fully developed. Sports equipment is the core of sports brand marketing, and better quality sports equipment can affect the marketing strategy of sports brands, which improves their international sales capability. High-performance composite sports equipment has many advantages. Compared with traditional sports materials, it has high tensile strength, high wear resistance, and high corrosion resistance. High-performance composite materials were applied to sports equipment and were compared with traditional sports equipment. The quality of the sports equipment, the promotion of the sports brand, the positioning of the sports brand, and the sponsorship of the sports brand were compared between the two sports equipment brands. The test results showed that high-performance composite sports equipment could improve the quality of sports equipment by 25% and had greatly improved sports brand promotion, sports brand positioning, and sports brand sponsorship. Therefore, high-performance composite sports equipment can improve the marketing ability of sports brands in the international market by affecting the quality of sports equipment, promotion of sports brands, positioning of sports brands, and sponsorship of sports brands.
Aggregation Effects on Entropy Generation Analysis for Nanofluid Flow over a Wedge with Thermal Radiation: A Numerical Investigation
Authors: Rehman Rabia , Wahab Hafiz Abdul , Alshammari Nawa , Khan Umar , Khan Ilyas
Published: September 2022

The current study investigated the formation of entropy in a nanofluid flow in a wedge with thermal radiation and convective boundary conditions. Nanoparticle aggregation is also taken into consideration. The rate of heat transmission of a water‐based aggregated fluid over a wedge has been investigated due to the effects of thermal radiation. A set of nonlinear differential equations governs the flow process, and these are numerically solved using a helpful approach called the Runge‐Kutta‐Fehlberg scheme. This method starts by breaking down the equations into a collection of first‐order equations. The RK method then solves those equations. The effects on flow and heat transmission are studied using graphical analysis. Entropy generation and Bejan number changes are also graphically displayed, and the results are discussed in detail. These equations’ answers were also incorporated into a dimensionless entropy generating equation. According to the findings, raising the radiation parameter and decreasing boundary convection minimize entropy generation, while nanoparticles boost entropy production.
The Extended Exponential Weibull Distribution: Properties, Inference, and Applications to Real‐Life Data
Authors: S. Mastor Adam Braima , Ngesa Oscar , Mung’atu Joseph , Alfaer Nada M. , Afify Ahmed Z.
Published: September 2022

A novel version of the exponential Weibull distribution known as the extended exponential Weibull (ExEW) distribution is developed and examined using the Lehmann alternative II (LAII) generating technique. The new distributions basic mathematical properties are derived. The maximum likelihood estimation (MLE) technique is used to estimate the unknown parameters of the proposed distribution. The estimators’ performance is further assessed using the Monte Carlo simulation technique. Eventually, two real‐world data sets are utilized to show the applicability of the new distribution.
The Analysis and Implementation of Film Decision-Making Based on Python
Authors: Zhang Han , Wu Yao
Published: September 2022

With the growing development of the era of big data, data acquisition and analysis have become hot spots, and Python-based crawler technology is one of the most widely used tools in data analysis work at present. In this paper, we apply Python crawler key technology to acquire data of movie list and hot movies on Cat’s Eye movie network, analyze data based on Python development environment Spyder, use the Numpy system to store and process large data, Chinese Jieba word separation tool to crawl data for word separation text processing, Snownlp library to process text sentiment, and finally by the word cloud map and web dynamic map display information such as viewers’ emotional tendency and movie rating statistics, and provide decision support for users’ movie viewing.
Robot Obstacle Avoidance Controller Based on Deep Reinforcement Learning
Authors: Tang Yaokun , Chen Qingyu , Wei Yuxin
Published: September 2022

As the core technology in the field of mobile robots, the development of robot obstacle avoidance technology substantially enhances the running stability of robots. Built on path planning or guidance, most existing obstacle avoidance methods underperform with low efficiency in complicated and unpredictable environments. In this paper, we propose an obstacle avoidance method with a hierarchical controller based on deep reinforcement learning, which can realize more efficient adaptive obstacle avoidance without path planning. The controller, with multiple neural networks, contains an action selector and an action runner consisting of two neural network strategies and two single actions. Action selectors and each neural network strategy are separately trained in a simulation environment before being deployed on a robot. We validated the method on wheeled robots. More than 200 tests yield a success rate of up to 90%.
A Three-Dimensional Model of Shield Tunnel considering Interaction of Soil and Lining
Authors: Xiao Zhirong , Wang Jiancheng
Published: September 2022

The interaction between soil and tunnel lining is an important factor affecting the performance of the tunnel longitudinal structure. In this paper, a three-dimensional model (Model 1) considering the interaction between soil and lining by interface element is built to analyze the response of shield tunnel lining to local surcharge loading. In order to do a comparison, the other model (Model 2) is established without an interface element too. The parametric study of the interface element in Model 1 is carried out, in which parameters such as cohesion, friction angle, normal stiffness, and tangential stiffness are considered. The numerical models are calibrated with experimental results of the model test in the lab obtained from the literature. It is concluded that, among the parameters of the interface element, the changes of cohesion and friction angle have little influence on soil-lining interaction, and the values of normal stiffness and tangential stiffness are more important in simulating soil-lining interaction. The maximum settlement of the tunnel is generally located in the center of the load, and the settlement is symmetric about the center of the load. With the increase of stiffness of soil, the trend of the longitudinal settlement of tunnel is similar, and the maximum settlement of tunnel decreases gradually. The result of Model 1 is much closer to experiment results than Model 2. The general deformation in Model 1 is smaller than the one in Model 2, and the slippage between the soil and lining can be found clearly in Model 1. Because of the interface element in Model 1, the restrain of soil around the lining can be simulated better. Through an engineering project, it can be found that the tunnel deformation can be predicted by the three-dimensional model considering the interaction between soil and lining by interface element well.
Histological Evaluation of the Effect of Local Application of Punica granatum Seed Oil on Bone Healing
Authors: Mohamed Ibrahim Fouad , Ghani Ban A. , Fatalla Abdalbseet A.
Published: September 2022

Background. Bone healing is a complex and dynamic process that represents a well-orchestrated series of biological events of cellular recruitment, proliferation, and differentiation. The use of medicinal plants in bone healing has attracted increasing interest because of their lower side effects. Punica granatum seed oil (PSO) contains high levels of phenolic compounds, promotes osteoblast function, and plays an important role in bone remodeling. A gelatin sponge (Spongostan) is a hemostatic agent that is extensively applied as scaffolds in engineering and as drug carriers in the medical field. This study aimed to evaluate the effectiveness of PSO for bone healing enhancement. Twenty adult male New Zealand rabbits, weighing an average of 1.5–2 kg, were used in this study. Three intrabony holes were created in the tibiae of each animal, which were filled with a gelatin sponge (GS group) and combined gelatin sponge and PSO (GS/PSO group). Holes without material application were designated as the control group (C group). The animals were sacrificed at the healing duration (2–4 weeks) to prepare bone specimens for histological and histomorphometric analyses. Results. Histological findings indicated that the bone defects in the GS/PSO group showed more bone formation, mineralization, and maturation compared with the C and GS groups. Multiple group differences for bone cells showed a highly significant difference among all groups in the 2- and 4-week healing periods except for the C/GS and GS/GS/PSO groups at 4-weeks duration. Furthermore, highly significant results were obtained between both durations regarding the trabecular area, trabecular number, and bone marrow area. Conclusion. The study revealed that the combined application of GS and PSO was more effective in enhancing bone regeneration and accelerating bone healing compared with the other groups.
Modeling of an Impedimetric Biosensor with Ultrasonic-Assisted Cell Alignment for the Detection of Yeast
Authors: Tian Jian , Xie Jiangan , He Zhonghua , Qin Dui , Wang Xiuxin
Published: September 2022

Yeast is an integral part of our environment. The detection of yeast is of great significance in many fields. The impedance-based sensor with interdigital microelectrodes is a promising method to establish a simple and portable detection system. However, the positions of yeast cells greatly influence the impedance variation and eventually the sensitivity of detection. In this study, an impedimetric biosensor with ultrasonic-assisted cell alignment for yeast detection was proposed. In order to verify the feasibility of this biosensor, finite element modeling was conducted using the software COMSOL. The acoustic pressure field and the acoustic radiation force exerted on yeast cells were investigated. Cell positions in the microfluidic channel were determined using the fluid particle tracking module. After that, the impedance between the microelectrodes was calculated. Yeast suspensions with different cell concentrations were used as the tested samples for the simulation. The proposed sensor showed a higher sensitivity than the conventional impedimetric biosensor on which the cells were randomly located. It can be used for the detection of microorganisms. This finite element modeling provided an effective approach for the design of biosensors.
Design Optimization of Reinforced Concrete Cantilever Retaining Walls: A State‐of‐the‐Art Review
Authors: Shakeel Mansoor , Azam Rizwan , Riaz Muhammad R. , Shihata Ayman
Published: September 2022

The booming growth of computational abilities in the 21st century has led to its assimilation and benefit in all horizons of engineering. For civil engineers, these advancements have led to groundbreaking technologies such as BIM, automation, and optimization. Unfortunately, even in an era of dwindling resources and dire need for sustainability, optimization has failed to attract implementation in practice. Despite an exponential growth as an area of research interest, the optimization of engineering structures such as reinforced concrete (RC) is still a complex task that requires multidisciplinary knowledge, hindering its practicability. Although past review papers have delved into this topic, they have only been able to cover the breadth of information available by covering broader aspects of optimization of structures. This study on the other hand aims to cover this topic in depth to uncover problem specific trends and issues, by focusing only on optimization of RC cantilever retaining walls. Although there is an abundance of research studies on this topic, there is an absence of any critical review to tie them up, and concurrently with its broader scope, it suffers the same lack of applicability in the field. The in‐depth review presents a summarization of all the online publications including research articles, conference papers, and theses to the best of authors’ knowledge on the topic of RC cantilever retaining wall optimization. Geographical trends, regional developments, and prominent journals have been identified. The design codes, problem formulation, objectives, constraints, variables, and their optimization techniques are tabulated for ease of understanding. Unique areas of development investigated by the different researchers have been highlighted. Lastly, comprehensive recommendations for future works have been detailed with a focus on improving its applicability and assimilation into the construction industry.
[Retracted] How to Evaluate the Efficiency of Green Economy and Its Regional Differences: Evidence from China
Authors: Duan Xin , Tang Miaomiao , Zhang Kui
Published: September 2022

Green economy is environmentally friendly economy, which is important for the sustainable economic development and environmental protection. Based on the panel data of 30 provinces and cities in China, a three‐stage super‐efficient SBM‐DEA (slack‐based model‐data envelopment analysis) model is constructed to evaluate the efficiency of green economy and analyze its regional differences. The results show that, first, the random error factor and external environmental conditions significantly affect the efficiency of green economy. Second, the green economic efficiency in China from 2010 to 2019 is stable and needs to be further improved. Third, through regional comparison, it is found that the green economy efficiency in eastern China is higher than those in central and western China and the green economy efficiency in northeast China is the lowest. Finally, green economy efficiency does not simply depend on the economic development, the regional differences of green economy efficiency results from the combined effects of different geographical resources endowment, different economic development characteristics, and different environmental protection policies in different regions of China. Based on the research findings, corresponding policy suggestions are put forward to improve the efficiency of green economy.
Research on the Use of Task-Based Language Teaching Method in English Language Teaching Based on Big Data 5G IoT Scenario
Authors: Xu Chunjing
Published: September 2022

The state implemented the compulsory education standard for full-time students in 2001, which clearly stipulates that English teachers should promote special language teaching methods, develop comprehensive language use skills, and propose teaching methods such as practice, cooperation, and communication. The task-based language teaching method has become a commonly used method in English teaching, and it is necessary to study the application of task-based language teaching method in English courses and try to apply the task-based language teaching method effectively. This study analyzes the needs of English teaching in the context of big data 5G IoT scenario, new curriculum reform, and theories related to English teaching methods in order to explore new methods of English teaching, verify its feasibility and necessity, and prepare reference materials for future grammar teaching research.
lncRNA260 siRNA Accelerates M2 Macrophage Polarization and Alleviates Oxidative Stress via Inhibiting IL28RA Gene Alternative Splicing
Authors: Yang Xin-Xing , Li Yan-Yan , Gong Ge , Geng Hong-Yu
Published: September 2022

The macrophage transformation of inflammatory M1 to anti-inflammatory M2 could be promoted by activating PI3K/AKT signaling pathway. In our previous study, it was found that downregulation of lncRNA260 could ameliorate hypoxic cardiomyocyte injury by regulating IL28RA through the activation of PI3K/AKT signaling pathways. It was suggested that lncRNA260 siRNA could promote the macrophages toward M2 polarization by regulating IL28RA. In this study, lncRNA260 siRNA was used to observe its effect on the polarization of murine bone marrow-derived macrophages (BMDM) and investigate its related mechanisms. lncRNA 260 specific siRNA were designed and synthesized which were transfected into murine BMDM with liposomes. The experiment was divided into three groups: Hypoxia group, Hypoxia+lncRNA 260-specific siRNA transfection group, and Normoxia group. The CD206-APC/CD11b-FITC or CD206-FITC/CD107b (Mac-3) double positive proportions were used to compare the M2 polarization proportions in the hypoxia process by using the immunofluorescence staining method. The p-AKT, Arg 1, PI3KCG, IL28RAV1, and IL28RAV2 protein expression changes were observed by using the western blot method. Compared with the Normoxia group, the M2 proportions were significantly decreased in the Hypoxia group (

P
<
0.05

). Compared with the hypoxia group, the M2 proportions were significantly increased in the Hypoxia+lncRNA260 siRNA transfection group (

P
<
0.05

). In the Hypoxia group, the ratios of Arg 1/β-Actin, p-AKT/β-Actin, PI3KCG/β-Actin, and IL28RAV1/β-Actin were significantly lower than those in the Normoxia group (

P
<
0.05

). After transfection with lncRNA260 siRNA, the ratios of Arg1/β-Actin, p-AKT/β-Actin, PI3KCG/β-Actin, and IL28RAV1/β-Actin were significantly higher than those in the Hypoxia group (

P
<
0.05

). Compared with the Normoxia group, the IL28RAV2/β-Actin in the Hypoxia group was significantly increased (

P
<
0.05

). After transfection with lncRNA260 siRNA, the ratio of IL28RAV2/β-Actin was significantly decreased than that in the Hypoxia group (

P
<
0.05

). lncRNA260 siRNA could promote the M2 polarization of the hypoxia macrophages by reducing the IL28RAV2 alternative splicing variant, which might be related to the activation of the JAK-STAT and PI3K/AKT signaling pathways. It will provide a new strategy for the anti-inflammation, antioxidative stress therapy, and cardiac remodeling after AMI.
Clinical Intervention Effect of a Predictive Model Constructed Based on Risk Factors for Falls in Elderly Patients during Hospitalization
Authors: Wu Lizhi , Zhou Lin
Published: September 2022

Falls in elderly patients are an important cause of fractures, functional impairment, and mortality. In this paper, a questionnaire was used to collect information on fall history, balance function and sensory function from patients over 65 years of age. In the analysis, the presence or absence of falls was used as a factor, and a corresponding prediction model was constructed using methods such as univariate analysis and regression analysis. This survey found that in the past year, 60% of the patients had fallen, 16.67% had one fall, 33.33% had two falls, and 50% had three or more falls; model specificity is 61.54%, the sensitivity is 71.43%, and the misjudgment is 38.46%. The model has good specificity and sensitivity and a small misjudgment rate; so, the model is more reasonable. This paper selects several sensitivity indices that have a certain impact on the risk of falling and makes a satisfactory forecast, which can provide a theoretical basis for the prevention of the risk of falls in elderly patients during hospitalization.
Sedimentary Characteristics and Developmental Models of the Cambrian Dolostone-Evaporite Paragenesis System in the Sichuan Basin
Authors: Wang Jixuan , Hu Zhonggui , Li Shilin , Tong Zebin , Guo Yanbo , Pang Yulai , Zhu Yixin , Cai Quansheng
Published: September 2022

The Cambrian strata of Sichuan Basin, China, present many dolomite-evaporite paragenesis systems (DEPS), which contain oil and gas resources for industrial exploitation. However, despite their wide distribution, the formation models and influencing factors of DEPS remain poorly understood. By analyzing an abundance of literature from China, this study comprehensively summarizes the sedimentary characteristics, combination patterns of rocks, and formation models of DEPS. The research significance, research questions, and future research directions of DEPS are also clarified. Firstly, the distribution of DEPS is clarified based on published studies: DEPS are widely distributed in the Longwangmiao Formation, the Gaotai Formation, and the Xixiangchi Formation of the eastern and southern Sichuan Basin. Evaporite and dolostone combination patterns in DEPS include the following modes: interbedding of dolostone and evaporite, evaporite overlying thick dolostone, thick dolostone mixed with thin evaporite, and thick evaporite mixed with thin dolostone. Secondly, five types of evaporites and five types of dolostones have been identified. Thirdly, spatiotemporal distribution, influencing factors, and developmental models are summarized. Studies on DEPS provide new insight into the origin of dolomite. Such research also provides theoretical guidance for the exploration of oil and gas resources in DEPS.
Petrology and Tectonic Geophysics of Massive and Foliated Eclogites in the North Qilian Orogenic Belt: Changes in Mineral Composition, Oxygen Fugacity, and Fabric during Exhumation
Authors: Wang Feng , Zhou Daorong , Zhang Xunhua
Published: September 2022

The North Qilian orogenic belt is a typical area of “cold” subduction of the early Paleozoic oceanic plate, forming a series of high pressure and low temperature metamorphic rock assemblages. Among them, eclogite is a kind of protolith, which is basaltic or gabbro high pressure metamorphic rock, mainly composed of garnet and chlorite which are two kinds of minerals. Eclogites record the entire history of subduction zone metamorphism and later exhumation. Due to the crystal habit and the developed joints, the strength of the pyroxene in the matrix is weak, so it is subjected to the main strain during deformation, whereas garnet tends to show only passive rotational deformation. This paper presents some new results in petrology and tectonic geophysics of eclogite block-like and planar eclogite. The massive and facial eclogite rocks contain eclogite facies mineral assemblages, and the peak temperature and pressure conditions are [Formula: see text]°C and [Formula: see text] GPa, which are consistent with the adjacent eclogite. Combined with the characteristics of in situ Lu-Hf isotopes, Ce4+/Ce3+ ratios of zircons, relative oxygen fugacity, and absolute oxygen fugacity, it is shown that the oxygen fugacity of the granodiorite porphyry (BL023, BLO31, DB048) of the folio chemical and massive eclogite deposits are all located in MH (magnetite-hematite) buffer zone. Through the calculation results of absolute oxygen fugacity of rock mass, it can be seen that the absolute oxygen fugacity of ore-bearing rock mass is significantly higher than that of non-ore-bearing rock mass. This paper systematically summarizes the research progress of the microscopic and ultrastructural deformation of eclogite minerals in high-pressure metamorphic zones, and discusses the changes of mineral composition, oxygen fugidity, and fabric of eclogite deformation characteristics during the recovery of subduction and reentry.
Progressive Rain Removal Based on the Combination Network of CNN and Transformer
Authors: Wang Tianming , Wang Kaige , Li Qing
Published: September 2022

The rain removal method based on CNN develops rapidly. However, convolution operation has the disadvantages of limited receptive field and inadaptability to the input content. Recently, another neural network structure Transformer has shown excellent performance in natural language processing and advanced visual tasks by modeling global relationships, but Transformer has limitations in capturing local dependencies. To address the above limitations, we propose the combination network of CNN and Transformer, which fully combines the advantages of CNN and Transformer structure to complete the task of image restoration. We use CNN to provide preliminary output and adopt Transformer architecture to further optimize the output of CNN. In addition, by using some key designs in module connection, our model strengthens feature propagation and encourages feature reuse, allowing better information and gradient flow. The experimental results show that compared with the existing methods, our method can remove the rain lines more comprehensively and achieve the state-of-the-art results. Besides, the experimental results also demonstrate that the CNN structure can be effectively combined with Transformer to fully utilize the superiority of different structures.
Analysis of Computer-Based Blockchain Technology in Cross-Border E-commerce Platforms
Authors: Zheng Luyao
Published: September 2022

Under the background of economic globalization and the rapid development of computer technology in the global coverage of the Internet, the integration of the world economy has been strengthened, and the continuous innovation of technology and foreign trade formats has promoted the rapid development of e-commerce, but there are also small e-commerce entities, weak high trade trust cost, high logistics payment cost, long cycle time, and adjustments caused by data flow. The decentralization, information sharing, irreversibility, and smart contract technology of computer blockchain can change the business model of traditional industries and promote business and social change. Based on the current trend of e-commerce development, this thesis analyzes the problems in the development of e-commerce, discusses the innovation of e-commerce business models, constructs the framework of e-commerce, and gives the issues of trust, customs supervision, payment and other issues. Solution. The logistics and data flow encountered in e-commerce using computer blockchain technology has low emissivity of information, high cost of data format conversion, and it is not easy to form a consensus.
Numerical Analysis on Seismic Responses of a Large Metro Station in Sandy Area
Authors: Liu Yu , Liu Xiao
Published: September 2022

A new assessment method is proposed considering shortcomings of the current investigations for the assessment of underground structures considering seismic load. First, the dynamic elastic modulus and damping ratio of sand are studied based on the dynamic characteristic experiment of the soil. Subsequently, a series of design acceleration time history curves are obtained using the proposed methods. Finally, the seismic response of underground structures is evaluated by a three‐dimensional numerical simulation. The results indicate that the dynamic elastic modulus of sand decreases with the increase of dynamic elastic strain and increases with the increase of confining pressure. The influence of confining pressure on the damping ratio of sand is slight, but it can still be seen that the damping ratio decreases with the increase of confining pressure, especially when the dynamic elastic strain is relatively low. The interlayer displacement between the top and middle plate is 2.1 mm and the interlayer displacement angle is 1/2650. The interlayer displacement between the middle and bottom plate is 1.7 mm and the interlayer displacement angle is 1/4117. Under the action of fortification earthquake, the interlayer displacement angles of Taiyuan Street station are less than 1/550, indicating that the structure meets the seismic requirements.
Total Thoracoscopic versus Robotic Surgery for Repair of Atrial Septum Defect: A Propensity Matching Score Analysis
Authors: Liu Yanyi , Liu Zhuang , Li Xin , Li Ning , Kong Ruirui , Jiang Yiyao , Ge Shenglin , Zhang Chengxin
Published: September 2022

Robotic surgery can provide less surgical trauma than conventional surgery, but differences between robotic and thoracoscopic surgery for atrial septal defect (ASD) repair are not well documented. To explore whether ASD can be repaired by thoracoscopic surgery or robotic surgery, which procedure is less invasive, and the difference in outcomes between these two procedures, this article studies 160 patients undergoing ASD repair at our institution. Sixty-five patients underwent total thoracoscopic surgery and 95 patients underwent total endoscopic robotic surgery. Propensity score matching yielded 64 well-matched patient pairs. Surgical data and early postoperative outcomes between the two matched groups were analyzed and compared. The results show that thoracoscopic and robotic surgery to repair ASD are both safe and reliable, and the early curative effect is good. However, regardless of similar complication rates, robotic surgery has a shorter time, less postoperative drainage, and faster recovery than thoracoscopic surgery.
Oat Seedlings Extract Inhibits RANKL-Induced c-Fos/NFATc1 Transcription Factors in the Early Stage of Osteoclast Differentiation
Authors: Yang Ji Yeong , Kim Shin-Hye , Lee HanGyeol , Lee Kwang-Sik , Song Seung-Yeob , Lee Mi Ja , Kim Hyun Young , Lim So-An , Park Kie-In , Choi Sik-Won , Seo Woo Duck
Published: September 2022

Osteoporosis is a common disease that increases the risk of fractures due to decreased bone density and weakens the bone microstructure. Preventing and diagnosing osteoporosis using the available drugs can be a costly affair with possible side effects. Therefore, natural product-derived therapeutics are promising alternatives. Our study demonstrated that the oat seedlings’ extract (OSE) inhibited the receptor activator of the nuclear factor κB ligand (RANKL)-induced osteoclastogenesis from the bone marrow-derived macrophages (BMMs). The OSE treatment significantly attenuated the RANKL-mediated induction of the tartrate-resistant acid phosphatase (TRAP) activity as well as the number of TRAP-positive (TRAP+) multinucleated cells (MNCs) counted through the TRAP staining in a dose-dependent manner. It was also confirmed that the OSE suppressed the formation of the TRAP + MNCs in the early stage of differentiation and not in the middle and late stages. The results of the real-time quantitative polymerase chain reaction (qPCR) and the western blotting showed that the OSE dramatically inhibited the mRNA and protein expressions of the osteoclastogenesis-mediated transcription factors such as the c-Fos and the nuclear factor-activated T cells c1 (NFATc1). In addition, the OSE strongly attenuated the mRNA induction of the c-Fos/NFATc1-dependent molecules such as the TRAP, the osteoclast-associatedimmunoglobulin-like receptor (OSCAR), the dendritic cell-specific transmembrane protein (DC-STAMP), and the cathepsin K. These results suggest that the naturally derived OSE may be useful for preventing bone diseases.
Analysis of Psychological Disorders and Adaptive Influence of Blended Learning of College Students
Authors: Li Yi
Published: September 2022

College students’ learning disabilities and learning adaptability refer to the fact that college students, on the basis of their own basic abilities and personality characteristics, actively make self-adjustments by interacting with their learning and learning environment problems in order to achieve a balance between the internal and external learning environment and the ability to be in a state of vigorous development. From the perspective of student development, the mastery of learning knowledge and skills directly affects the development of college students themselves, and the level of adaptability to learning directly affects or determines the effectiveness of college students’ learning. From the perspective of social needs, society has higher requirements on the learning ability and learning skills of college students, and in talent selection, they tend to choose college students who study counterparts and have excellent grades. It can be seen that the learning of college students is of great significance and role to them, and the quality of college students’ development in learning has a significant impact on their talent and growth. This study comprehensively proposes from multiple theoretical perspectives that five factors, including learning commitment, learning goals, learning behavior, learning self-efficacy, and learning external environment, will affect the level of college students’ learning disabilities and learning adaptability. This study draws the following conclusions: (1) the influencing factors of college students’ learning disabilities and learning adaptability are in descending order of average score: learning self-efficacy, learning commitment, learning behavior, learning goals, and learning external environment. The average scores of the factors of effectiveness and learning commitment are greater than the total average score of each factor, while the average scores of learning behavior, learning objectives, and special external environment factors are lower than the total average score of each factor. (2) The three factors of learning commitment, learning self-efficacy, and learning behavior can significantly affect the level of learning disability and learning adaptability, but learning goals and learning external environment have no significant effect on learning disability and learning adaptability.