bluuebunny/crossref_metadata_2025 huggingface dataset:
Dietary Supplement of Microalgal Astaxanthin Extraction Improved Shell Pigmentation and Nutritional Value of Litopenaeus vannamei in an Indoor Industrial Aquaculture System
Authors: Zhang Shuangyong , Chang Zhiqiang , Wang Wei , Zheng Yubin , Li Jian
Published: May 2022

Blue-shell syndrome is associated with low levels of astaxanthin (Ax) deposition in cultured shrimp. Such a syndrome is a key issue in indoor industrial shrimp aquaculture. In this study, we investigated the effect of dietary supplementation with microalgal Ax extract (MAAE), extracted from the microalgae, Haematococcus pluvialis, on shell pigmentation and nutritional value of shrimp Litopenaeus vannamei. Dietary supplementation with MAAE (20 mg kg-1) effectively improved shrimp pigmentation. In addition to increased growth and nutritional value, shrimp muscles had higher free amino acid concentrations (Asp, Ser, Ala, Val, and His) and lower fatty acid concentrations (except for C18:0, C18:1n9c, C20:0, C20:2, and C24:1) compared to those in the control group. In conclusion, this study indicated that a relatively low dose of MAAE at 20 mg kg-1 may improve the growth and nutritional value of shrimp in an indoor industrial shrimp aquaculture system.
Chemical Composition, Antioxidant, Insecticidal Activity, and Comparative Analysis of Essential Oils of Leaves and Fruits of Schinus molle and Schinus terebinthifolius
Authors: Belhoussaine Oumayma , El Kourchi Chaimae , Harhar Hicham , Bouyahya Abdelhakim , El Yadini Adil , Fozia Fozia , Alotaibi Amal , Ullah Riaz , Tabyaoui Mohamed
Published: May 2022

Schinus terebinthifolius Raddi. and Schinus molle L. are perennial woody plants belonging to the Anacardiaceae family, widely distributed in the United States, Europe, Asia, and Africa, and they are broadly used for many applications such as in traditional medicine as an antipyretic, analgesic, depurative, and in the treatment of diseases of the urogenital system as well as culinary and ornamental species. Our work aims to study and compare the chemical composition and the antioxidant and insecticidal activity of the essential oils of the leaves and fruits of the two species of the genus Schinus. The essential oils were characterized by a very spicy aromatic odor, and by the abundance of hydrocarbon monoterpenes in the leaves and fruits of Schinus molle (49.70% and 42.65%), unlike the EOs of the fruits of Schinus terebinthifolius which have a high content in hydrocarbon sesquiterpenes (40.57%). Usually, these oils have shown relatively low antioxidant activity was expressed in IC50; especially, the essential oil of the fruits of S. terebinthifolius revealed a concentration of 3.292 ± 2.82 mg/mL. The evaluation of the insecticidal activity gave good results in the method of exposure of adults of Sitophilus oryzae to EOs by contact; thus, the fruits of Schinus molle are more active against this species of beetle than the other essential oil.
Automatic Scaling Mechanism of Intermodal EDI System under Green Cloud Computing
Authors: Huang Qiang , Sun Lin , Jia Furong , Yuan Jiaxin , Wu Yao , Pan Jinshan
Published: May 2022

EDI is a hot topic in the research of multimodal transportation informatization, which determines the exchange level of intermodal transportation information. However, its high cost, large system coupling degree and low performance threshold cannot adapt to mass data exchange in high concurrent environment. Therefore, a decentralized, scalable, distributed and efficient data exchange system is formed. It plays a key role in realizing the comprehensive sharing of interdepartmental intermodal information in the cloud environment. In order to solve the problem of mismatching between application load and computing resource capacity and realize on-demand resource allocation and low carbon emission, this paper proposes to build an Extensible EDI system (XEDI) based on MSA and studies the scaling mechanism in container environment. Based on the resource scheduling characteristics of container cloud and considering the distribution and heterogeneity of intermodal cloud computing platform from the perspective of resource allocation, the automatic scaling mechanism of XEDI is established, the scaling model is established, and the automatic scaling algorithm is proposed. For Dominant Resource Fairness for XEDI (XDRF) resource allocation algorithm and Dominant Resource Fairness for XEDI (CXDRF) based on carbon considering energy consumption, the CXDRF algorithm is proved by quantitative experiments to achieve system performance optimization on the basis of ensuring system reliability and effectively reducing energy consumption. XEDI can not only meet the demand of dynamic load and improve service quality, but also reduce resource occupation and save energy by releasing virtual resources when resource utilization rate is low. It has great research significance and practical value for mass data application under low energy consumption conditions.
Performance Evaluation Method of Online Supply Chain Finance Logistics Enterprises Based on GARCH-VAR
Authors: Xia Ting , Yang Junxuan
Published: May 2022

In recent years, China’s core enterprises have been plagued by high operating costs, difficult bank loans, and other practical problems in the supply chain. As a new financing model emerged in recent years, it has opened up new markets in finance and logistics industry and brought new ideas and vitality to all parties in the supply chain. Since the strengthening of supervision, the operation of the industry has gradually changed to the direction of normalization. The study of online loan interest rate fluctuation is helpful to understand the source and characteristics of online loan risk, which has important reference significance for China’s Internet lending market. The measurement of interest rate risk can help to monitor market risk in time and improve financial supervision. This paper takes the online loan interest rate under the background of supervision as the research object, combining theoretical analysis and empirical research to explore the characteristics of interest rate fluctuations and the reasons behind the P2P online loan, and discusses the online loan business model. Based on the influencing factors of interest rate fluctuation, this paper analyzes the main characteristics of network loan interest rate from the aspects of interest rate trend interval distribution, regional distribution, and background distribution. This paper adopts the daily closing price data of domestic R insurance company to establish the daily logarithmic return rate series of stock prices. The results show that (1) GARCH-VAR model can effectively reflect the stock price fluctuation and market risk degree of the insurance company; (2) the company’s VAR showed a trend of first rise and then slight decline, with the highest VAR in 2018; and (3) the interpretation of VAR value should be combined with financial indicators. The increase in net profit rate will also lead to the decline of VAR value in the next period. Based on this, countermeasures and suggestions for market risk management are proposed for insurance companies.
Naringin Promotes Osteogenic/Odontogenic Differentiation of Dental Pulp Stem Cells via Wnt/β-Catenin
Authors: Guo Meiling , Liu Fen , Wang Wenjuan , Liu Zhirong , Zhu Zhipeng , Liu Yiyu , Huang Zhen
Published: May 2022

Purpose. This investigation intended to unravel the effect and mechanism of naringin on the proliferation and osteogenic differentiation of human dental pulp stem cells (hDPSCs). Methods. hDPSCs were induced to differentiate, and the degree of cell differentiation was observed by alizarin red staining, Oil Red O staining, and Alcian blue staining. hDPSCs were treated with 0, 20, 40, and 80 μmol/L naringin for 48 h, respectively. The proliferation rate and chemotaxis of the cells were measured by MTT and transwell assay, alkaline phosphatase (ALP) activity and osteogenic differentiation degree by ALP staining and alizarin red staining, and gene expression of osteogenic markers by qRT-PCR. Additionally, western blot was performed to test the levels of Wnt/β-catenin signaling-related proteins in hDPSCs. Results. The isolated hDPSCs with spindle-shaped morphology had good differentiation capability. Further experiments confirmed naringin-caused increases in the proliferation rate and migration ability of hDPSCs. In addition, compared with the control group, naringin-treated cells had strong ALP activity and ossification levels and higher expression of Runx2, OPN, DSPP, and DMP1. The western blot results showed that naringin significantly activated Wnt/β-catenin signaling in hDPSCs. Conclusion. Taken together, naringin enhances the proliferation, migration, and osteogenesis of hDPSCs through stimulating Wnt/β-catenin signaling pathway.
The Political Connections and Commercial Credit Financing of Privately Held Companies
Authors: Liu Huan , Luo Juanjuan , Hu Defa
Published: May 2022

In order to better assist privately held companies in obtaining commercial credit financing, this article selected 1,000 Chinese privately held companies in the manufacturing industry that went public from 2008 to 2018 and discussed whether a company’s political connections serve as a resource-promoting effect on its commercial credit financing. This article proposed relevant hypotheses based on theoretical analysis and performed the descriptive statistical analysis and Hausman test analysis on all variables based on the unbalanced panel data of public companies when designing the study. Then, this article used a fixed model for regression estimation of the main effects, and the results showed that a company's political connections significantly reduce its possibility of obtaining commercial credit from suppliers. This article further analyzed the regulatory effects of market environmental factors and corporate transparency-related boundary factors and concluded that the process of marketization, the degree of market competition, and the transparency of companies will significantly weaken the inhibiting effect of political connections on commercial credit financing.
Stationary Distribution and Extinction of a Stochastic Brucellosis Model with Standard Incidence
Authors: Iskandar Dilnaray , Abdurahman Xamxinur , Muhammadhaji Ahmadjan
Published: May 2022

In this paper, we proposed a stochastic SVEI brucellosis model with stage structure by introducing the effect of environmental white noise on transmission dynamics of brucellosis. By Has’minskii theory and constructing suitable Lyapunov functions, we established sufficient conditions on the existence of ergodic stationary distribution for the considered model. Moreover, we also established sufficient condition for extinction of the disease. Finally, two examples with numerical simulations are given to illustrate the main results of this paper.
Distributed Double-Layered Dynamic Matrix Control for Large-Scale System
Authors: Wang Li , Cai Yuanli , Zan Xin
Published: May 2022

A distributed double-layered dynamic matrix control is proposed for large-scale systems. In the scheme, a large-scale system is first decomposed into several low-dimensional subsystems, and then a double-layered dynamic matrix control algorithm with distributed structure is developed for these subsystems. The distributed open-loop prediction equation of each subsystem is formed based on the predicted output of each local subsystem and effects of its interconnecting neighbor subsystems. Due to simultaneous optimization, at each prediction, the coupling effects of neighbor subsystems are not available in time. Thus, the assumed value is utilized instead. In the economic optimization stage, conflicts may occur among different economic optimization goals. Utopia-tracking strategy is introduced to optimize multiple steady-state targets. Then, the obtained steady-state target values are taken as reference values and tracked in subsequent dynamic control. The actual control move for each subsystem is finally calculated. The proposed algorithm is tested on Shell heavy oil fractionator benchmark, and the effectiveness is demonstrated by comparing with the typical double-layered dynamic matrix control algorithm.
Green Biosynthesis of Silver Nanoparticles Using Malva parviflora Extract for Improving a New Nutrition Formula of a Hydroponic System
Authors: Oraibi A. G. , Yahia H. N. , Alobaidi K. H.
Published: May 2022

There are increasing needs for developing nontoxic, low-cost, high-yield, and eco-friendly procedures for manufacturing nanoparticles. Nanobiotechnology can be used in food security for improving crop production; nanoparticles could enhance the growth and yield of different crop plants; therefore, this work aimed to improve a new nutrition formula of a hydroponic system using green biosynthesis of silver nanoparticles and Malva parviflora aqueous extract. Results shown that AFM image of AgNP surface morphology provides good indicator for biosynthesizing AgNPs. UV-vis spectroscopy showed the presence of silver elements that proved the reduction of silver ion to an element in the presence of plant extract functional groups which act as a reduction reaction capping agent. AgNPs formation from 1 mM of AgNo3 and Malva parviflora filtrate can easily be characterized through visual observations by the change in the color of the reaction mixture from green to yellowish-brown. SEM showed that most of the Ag nanoparticles were spherical in shape, well dispersed, and were either arranged in clusters of particles with each other, or as small particles, and have been identified in a size range of 12–63 nm. The EDX characterization exhibited that the highest proportion of the element composition was for silver weighting (34.11%) in nanoparticle. Other elements such as aluminum (12.28%), carbon (8.62%), hafnium (18.12%), nitrogen (9.34%), sodium (10.01%), and oxygen (7.52%) may arise from Malva parviflora extract. Also, peroxidase and catalase enzyme activity, cabbage crop seedlings, fresh and dry weights, and proline and carbohydrate concentrations were significantly increased with the increase of biosynthesized AgNP concentrations but up to limit.
Research Progress of Fibroblast Growth Factor 21 in Fibrotic Diseases
Authors: Jia Min-Qi , Guan Cha-Xiang , Tao Jia-Hao , Zhou Yong
Published: May 2022

Fibrosis is a common pathological outcome of chronic injuries, characterized by excessive deposition of extracellular matrix components in organs, as seen in most chronic inflammatory diseases. At present, there is an increasing tendency of the morbidity and mortality of diseases caused by fibrosis, but the treatment measures for fibrosis are still limited. Fibroblast growth factor 21 (FGF21) belongs to the FGF19 subfamily, which also has the name endocrine FGFs because of their endocrine manner. In recent years, it has been found that plasma FGF21 level is significantly correlated with fibrosis progression. Furthermore, there is evidence that FGF21 has a pronounced antifibrotic effect in a variety of fibrotic diseases. This review summarizes the biological effects of FGF21 and discusses what is currently known about this factor and fibrosis disease, highlighting emerging insights that warrant further research.
Self-Injury with Carbamazepine Intoxication in an Elementary School-Aged Child
Authors: Shieh Andrew , Schellpfeffer Natalie
Published: May 2022

Carbamazepine is a common anticonvulsant medication used to treat seizure disorders and is generally considered a safe medication. We describe the case of a 9-year-old female who presented with acute altered mental status and respiratory failure requiring mechanical ventilation. She was found to be intoxicated with carbamazepine through a urine drug test which was confirmed by bloodwork. After her medical condition improved, the patient admitted to self-injury through ingestion to cope with the death of a family member. She received a complete psychiatric assessment and was eventually discharged without permanent neurologic sequelae. To our knowledge, this is the first case of intentional self-injury with carbamazepine intoxication in an elementary school-aged child. When intoxication is suspected in children presenting with altered mental status, all medications available at home should be investigated. Preadolescent children may engage in nonfatal self-injury behavior, and diagnosis requires a high index of suspicion.
Shoe Bending Stiffness Influence on Lower Extremity Energetics in Consecutive Jump Take-Off
Authors: Jia Sheng-Wei , Yang Fan , Wang Yi , Guo Tongtong , Lam Wing-Kai
Published: May 2022

Objective. This study examined the influence of shoe bending stiffness on lower extremity energetics in the take-off phase of consecutive jump. Methods. Fifteen basketball and volleyball players wearing control shoes and stiff shoes performed consecutive jumps. Joint angle, angular velocity, moments, power, jump height, take-off velocity, take-off time, and peak vertical ground reaction force data were simultaneously captured by motion capture system and force platform. Paired

t

-tests were performed on data for the two shoe conditions that fit the normal distribution assumptions, otherwise Wilcoxon signed-rank tests. Results. There are significant differences (

P
<
0.05

) in take-off velocity and take-off time between stiff and control shoe conditions; the stiff shoes had faster take-off velocity and shorter take-off time than control shoes. There was no significant difference between two conditions in jump height (

P
=
0.512

) and peak vertical ground reaction force (

P
=
0.589

). The stiff shoes had significantly lower MTP dorsiflexion angle and greater joint work than the control shoes (

P
<
0.05

). The MTP range of motion and maximum angular velocity in stiff shoe condition were significantly lower than those in control shoe condition (

P
<
0.01

). However, there are no significant differences between two conditions in kinetics and kinematics of the ankle, knee, and hip joint. Conclusions. The findings suggest that wearing stiff shoes can reduce the effect of participation of the MTP joint at work and optimize the energy structure of lower-limb movement during consecutive jumps.
On the Mode of Enhanced VR Virtual Simulation Technology in the Field of Foreign Language Teaching
Authors: Zhang Haibo
Published: May 2022

This paper combines virtual simulation technology to improve the traditional foreign language teaching mode. Aiming at the problems of traditional phase-shift shadow Moiré profiler, a three-step quadrature-phase demodulation technique using unknown phase shift was developed. Then, the paper compares the proposed method with the GS method using MATLAB simulation. It can be seen from the simulation and demodulation results that the two methods obtain similar results, thus proving the equivalence of the two methods.
A Secure Routing Protocol for Wireless Sensor Energy Network Based on Trust Management
Authors: Yuan Bingxia
Published: May 2022

In order to enhance the ability of wireless sensor networks to resist various security threats and reduce the limitations caused by the characteristics of wireless sensor networks and sensor nodes, this paper proposes a secure routing protocol for wireless sensor networks based on trust management. Combined with the relevant parameters of wireless sensor network, the simulation experiment is carried out with MATLAB. Aiming at the trust management part of the wireless sensor network security protocol proposed in this paper, the malicious attack environment such as sensor node attributes is simulated to verify the resistance of this model to relevant malicious attacks. For the trust management-based wireless sensor network security routing protocol proposed in this paper, the model included in the protocol is compared to the existing security routing model, combining the characteristics of average simulation transmission, network life, and average routing update time. Experiments show that the model has better routing performance and has improved by an average of about 20%. We offer a new solution to solve the problem of wireless routing security.
Establishment of a Risk Prediction Model for Pulmonary Infection in Patients with Advanced Cancer
Authors: Yang Liangliang , Xu Xiaolong , Liu Qingquan
Published: May 2022

Objective. Based on clinical data, the risk prediction model of pulmonary infection in patients with advanced cancer was established to predict the risk of pulmonary infection in patients with advanced cancer, and intervention measures were given in advance. Methods. The clinical data of 2755 patients were divided into infection group and control group according to whether they were complicated with lung infection. 1609 patients’ data from January 2016 to December 2018 served as the training set, and 1166 patients’ data from January 2019 to December 2020 served as the testing set. Demographics, whether the primary cancer was lung cancer, lung metastasis, the pathological classification of lung cancer patients, the number of metastases, history of surgery, history of chemotherapy, history of radiotherapy, history of central venous catheterization, history of hypertension, diabetes, and whether with myelosuppression were recorded. The presence of concurrent pulmonary infection was recorded and defined as the primary outcome variable. Stepwise forward algorithms were applied to informative predictors based on Akaike’s information criterion. Multivariable logistic regression analysis was used to develop the nomogram. An independent testing dataset was used to validate the nomogram. Receiver-operating characteristic curves and the Hosmer-Lemeshow test were used to assess model performance. Results. The sample included 2755 patients with advanced cancer. An independently validated dataset included 1166 patients with advanced cancer. In the training dataset, gender, age, lung cancer as primary cancer, the pathological classification of lung cancer patients, history of chemotherapy, history of radiation therapy, history of surgery, the number of metastases, presence of central venous catheterization, and myelosuppression were identified as predictors and assembled into the nomogram. The area under curve demonstrated adequate discrimination in the validation dataset (0.77; 95% confidence interval, 0.74 to 0.79). The nomogram was well calibrated, with a Hosmer-Lemeshow

χ

2

statistic of 12.4 (

P
=
0.26

) in the testing dataset. Conclusions. The present study has proposed an effective nomogram with potential application in facilitating the individualized prediction of risk of pulmonary infection in patients with advanced cancer.
Research on Access Control Scheme of System Wide Information Management Based on Attribute Association
Authors: Zhang Lizhe , You Zhenghang , Wang Kenian , Cui Zihan
Published: May 2022

System wide information management (SWIM) involves civil aviation system control, intelligence, alarm, traffic, and other data. These data are transmitted in various forms, making SWIM system vulnerable to sensitive information leakage, data tampering, denial, and other security threats. In this article, an attribute-based air traffic management (ATM) information access control scheme is proposed to solve the security threat of SWIM. An improved extensible access control markup language (XACML) authorization model is established, combining linear secret sharing scheme (LSSS) matrix structure and monotone span program (MSP); an attribute association algorithm is designed to establish the attribute association relationship between services and users. Experimental results show that the attribute association algorithm improves the time complexity, but the algorithm can support richer policy representation capability, and the proposed ATM information access control scheme is more efficient and can effectively reduce the space cost. This scheme can achieve more fine-grained and flexible access control.
Prediction of the Impact of Land Usage Changes on Water Pollution in Public Space Planning with Machine Learning
Authors: Lei Baojie , Myung-Soo Kim , Nurjahan
Published: May 2022

In urban public space planning, changes in land use, structure, and construction impact the urban environment to a certain degree. Land usage changes the urban surface water environment by impacting it through numerous ways. This paper studies about prediction of land use changes on surface water pollution in public space planning. This paper analyzes the characteristics of land use changes in public space planning from the quantitative characteristics of land use types, land use structure characteristics, and land usage degree in different years. The protection of natural resources is important, and water is one of the most important natural resources consumed by human beings. The environmental changes impacting these natural resources are to be studied to preserve the natural resources. The prediction of over-consumption of natural resources using soft computing techniques can certainly provide a solution for appropriate decision making. The prediction of relationship between land use changes and surface water pollution is required. In order to achieve this, the regression analysis on land use changes of different spatial scales with four surface water pollution indicators in the dry and wet seasons is performed to obtain the regression of each water pollution indicator. According to the determination coefficient, the determination coefficient of the model uses the comprehensive pollution index method to predict the impact of land use changes on surface water pollution. The experimental results show that the prediction accuracy of the proposed method is high and it is helpful in studying the impact of land use change on surface water pollution. It can help in decision making on consumption of natural resources to preserve the natural resources for next generations.
Short- and Long-Term Influences of Benzodiazepine and Z-Drug Use in Patients with Bipolar Disorder Combined Sleep Disturbance during Affective Period: A Nine-Month Follow-Up Analysis
Authors: Chen Yiming , Wang Fan , Cui Lvchun , Huang Haijing , Kong Shuqi , Qian Nuoshi , Zhang Mengke , Lyu Dongbin , Wang Meiti , Liu Xiaohua , Cao Lan , Fang Yiru , Hong Wu
Published: May 2022

Background. Sleep disturbances and benzodiazepine (BZD)/Z-drug use are common in patients with bipolar disorder (BD). Objective. To investigate the short- and long-term effects of BZD/Z-drug use during acute affective episode. Methods. Participants diagnosed with BD as well as sleep disturbance chose BZDs/Z-drugs or not at will. Manic and depressive symptoms were assessed by Mental Disorders Questionnaire (MDQ) and Quick Inventory of Depressive Symptoms (QIDS) as self-reporting surveys. The participants were assessed by trained evaluators at baseline and months 1, 3, 6, and 9. Results. 61 patients with BD combined sleep disturbances were studied. At baseline, patients who used BZDs/Z-drugs had more amount of mood stabilizers (p=0.038), other psychotropic medications (p=0.040), and more risk of suicide attempt (p=0.019). The BZD/Z-drug group had a significantly higher QIDS reductive ratio as compared with the no BZD/Z-drug group at month 1; no significant differences in the variability of MDQ, QIDS reductive ratio, or recurrence rate were found between these two groups at baseline, month 1, month 3, month 6, or month 9. Conclusions. During acute affective episode, patients with BD combined sleep disturbance who took BZDs/Z-drugs tended to use more amount of mood stabilizers. Polytherapy of BZDs/Z-drugs or other psychiatric drugs could increase suicide attempt during an acute affective episode. BZD/Z-drug use, however, had a significant effect on helping depressive symptoms alleviate during affective period.
Improved Public Auditing System of Cloud Storage Based on BLS Signature
Authors: Li Ruifeng , Yang Haibin , Wang Xu An , Yi Zhengge , Niu Ke
Published: May 2022

Cloud storage and cloud computing technologies have developed rapidly for a long time, and many users outsource the storage burden of their data to the cloud to obtain more convenient cloud storage services. Allowing users to audit the private data’s integrity has become an additional basic function of the cloud server when providing services. In 2021, based on the BLS signature and automatic blocker protocol, Jalil et al. proposed a secure and efficient cloud data auditing protocol. The protocol can realize public audit, batch audit, data update, and protect data privacy. Moreover, the automatic blocker protocol is used to realize the identity authentication of the auditor. The protocol is relatively novel, innovative, and has a larger use space. However, we found that their scheme had security problems. If the cloud server has thoughts of malicious attack, he can forge the proof that he holds users’ data with stored labels and pass the audit. Referring to the original protocol and being inspired by them, we propose an improved audit protocol. The improved protocol solves the security problem and is more effective.
Role of EPO and TCF7L2 Gene Polymorphism Contribution to the Occurrence of Diabetic Retinopathy
Authors: Liu Chao , Bai Ga-Li , Liu Ping , Wang Lin
Published: May 2022

Objective: For studying the association of EPO (rs551238), EPO (rs1617640), and TCF7L2 (rs7903146) gene with diabetic retinopathy in Northern Chinese population. Methods: We conducted a case-control study, which enrolled 680 subjects and performed SNP genotyping and calculated allele frequencies. Results: When comparison was performed between DR patients and normal persons, the EPO (rs551238) AA genotype has a significant risk association with DR, and AC genotype has a significant protective association with DR. The EPO (rs551238) A allele has a significant risk association with DR, and C allele has a significant protective association with DR. When comparison was performed between DR patients and DM patients, the EPO (rs551238) CC genotype has a significant protective association with DR; the EPO (rs551238) A allele has a significant risk association with DR; and C allele has a significant protective association with DR. When comparison was performed between DR patients and normal persons, the EPO (rs1617640) GT genotype has a significant protective association with DR, and TT genotype has a significant risk association with DR. The EPO (rs1617640) G allele has a significant protective association with DR, and T allele has a significant risk association with DR. In addition, we found that TT genotype does not exist in rs7903146 of TCF7L2 in Chinese population so that the data could not be used. Conclusions: EPO (rs551238, rs1617640) genotype is a susceptible gene for DR in Chinese type 2 diabetic patients, especially the high-risk PDR.
Metagenomics Shows That Termite Activities Influence the Diversity and Composition of Soil Invertebrates in Termite Mound Soils
Authors: Enagbonma Ben Jesuorsemwen , Babalola Olubukola Oluranti
Published: May 2022

Background. Soil invertebrates are a significant part of the functioning and biodiversity of engineered soil. Nevertheless, it remains unclear how termite bioturbation that promotes soil nutrients affects the diversity and composition of invertebrates that dwell in soils from termite mounds. Therefore, we tested the premise that the rich nutrients accrued in soils from termite mounds encourage a complex variety of soil invertebrates. Methods. Whole DNA was extracted from soils from termite mounds and adjacent soils that were 10 m away from the mound. The soil samples were then sequenced using metagenomics. Results. Disparity in the composition of the soil invertebrate communities between the termite mound and their adjacent soils was clear from the results. Also, principal coordinate analysis showed that the structure of the soil invertebrate communities in termite mound soils was distinctive from that of the adjacent soils. The canonical correspondence analysis showed that phosphorus, soil pH, and soil organic carbon were the environmental factors that significantly explained the variation in the composition and diversity of the soil invertebrate communities between the two habitats. Conclusion. Metagenomics and chemical analysis jointly offered a route to examine the compositional and diversity variations in soil invertebrate communities in relation to termite bioturbation.
Driver Fatigue Detection Method Based on Human Pose Information Entropy
Authors: Li Taiguo , Zhang Tiance , Zhang Yingzhi , Yang Liben
Published: May 2022

Driver fatigue detection (DFD) is an effective method to prevent traffic accidents. The existing research on DFD using facial features is an effective and noninvasive fatigue detection method. However, this approach is affected by facial occlusions (glasses, sunglasses, masks, etc.) and the large facial pose deformations in the extraction of effective fatigue features. In this paper, we introduce a novel DFD method using human pose information entropy. The method first estimates human pose from video sequences and then uses them as clues to extract multiple fatigue-related features which can reduce the influence of facial occlusion and head pose deformation. Information entropy and sliding window algorithm are applied to analyse and calculate sufficient consecutive video frames to obtain more robust and accurate fatigue-related values than by using a single frame. These information entropy values are combined resorting to the support vector machine (SVM) to recognize the driver fatigue state. Experimental results show that the method can achieve much higher accuracy and robustness, and the detection speed meets the requirements of real time.
The Influence of a Novel Chitosan-Based Coating with Natural Antimicrobial Agents on the Storage Properties and Reactive Oxygen Species Metabolism of Harvested Tangelo Fruit
Authors: Ji Ying , Wang Jieqiong , Liu Ye , Liu Shaoyan , Jiang Xuanjing , Huang Huaming , Li Ling
Published: May 2022

This study investigated the effects of a novel antibacterial film based on chitosan, carboxymethyl cellulose, sodium alginate, tea polyphenols, ascorbic acid, and tangelo peel extract on the postharvest quality and reactive oxygen species metabolism of tangelo fruit during storage. The composite film significantly reduced the fruit decay rate and weight loss, delayed the reduction in total soluble solids and titratable acidity, and retained fruit firmness and the appearance of tangelo fruit during storage. Furthermore, the composite film effectively reduced the fruit respiration rate, inhibited the increase in cell-membrane permeability, markedly reduced the generation of superoxide anion, hydrogen peroxide, and malondialdehyde, and enhanced the activity of the antioxidant enzymes superoxide dismutase, catalase, and ascorbate peroxidase. The composite film also reduced losses of the nonenzymatic antioxidants ascorbic acid and glutathione. Overall, the chitosan-based composite antibacterial film effectively maintained the quality of tangelo fruit during storage, enhanced ROS scavenging capacity and antioxidant properties, and then reduced the rot rate of postharvest tangelo.
Exploration on the Optimal Application of Mobile Cloud Computing in Enterprise Financial Management under 5G Network Architecture
Authors: Guo Yanlin , Li Huwei
Published: May 2022

In order to improve the effect of modern enterprise financial management, this paper improves the mobile cloud computing resource scheduling algorithm under the 5G network architecture. Moreover, this paper introduces mobile edge cloud computing, MEC server, into the financial 5G network system model. Taking into account the possible multihop RSU transmission of the calculation result back, this paper expresses the delay composition of the calculation task on the local execution and offloading to the MEC server in the form of a formula and proposes an offloading strategy based on the MEC load status. On this basis, this paper constructs a mobile cloud computing optimization system under the 5G network architecture and designs experiments to evaluate the performance of the system proposed in this paper. From the experimental research, we can see that the enterprise financial management optimization system based on mobile cloud computing under the 5G network architecture proposed in this paper has good effects in the optimization of corporate financial management.
Evaluation of Dockless Bike-Sharing Transfer Services around Metro Stations considering Spatial Heterogeneity
Authors: Dong Jieshuang , Chen Shawen , Li Wenxiang , Zhou Yiwei , Si Hongyun
Published: May 2022

The dockless bike-sharing system provides a convenient transfer option for metros, which can solve the “last mile” problem for passengers. However, the quality of bike-sharing transfer services around metro stations and its influencing factors are still unrevealed. Therefore, this study aims to evaluate the bike-sharing transfer services for different metro stations considering spatial heterogeneity. First, the transfer ridership of bike-sharing around each metro station is calculated based on the trip data of the Mobike in Shanghai. Then, a geographically weighted regression (GWR) model is used to analyze the relationships between the transfer ridership and built environment features around each metro station. Given the GWR model, a spatially varying benchmark is established to independently evaluate the bike-sharing transfer service of each metro station based on the deviation between the actual transfer ridership and its benchmark. In this case, the metro stations whose actual bike-sharing transfer ridership is below the benchmark are identified as the objects that need to improve their bike-sharing transfer services. The results show that the benchmark derived from the GWR model varies from station to station depending on the metro ridership, population density, and cycleway density around the metro station. In addition, bike-sharing transfer services around metro stations are better in Xuhui District, Minhang District, and Huangpu District, and worse in Pudong District and Qingpu District. Therefore, this study is helpful for the government and operators to better optimize the connection between dockless bike-sharing and metros.
Research on Intelligent Sports Training System for Golf Based on Body Sense Recognition
Authors: Wang Meng , Zang Tong
Published: May 2022

In recent years, significant advances in the development of computer vision technology have produced many platforms and systems that combine computer technology and sports-assisted training, including intelligent systems that are integrated with golf training and instruction. However, the existing intelligent systems for golf-assisted teaching usually use three-dimensional depth information, which will significantly increase the cost of intelligent systems. In this paper, the extraction of golf club slope is carried out on the basis of golf sport video capture using a common monocular camera in order to match the club slope information with the professional coach swing video information. At the same time, in order to facilitate the interframe matching, the joint point information is complemented using the projection approximation point algorithm, and the segmentation of the swing video is performed using the complemented human hand joints and the fixed characteristics of the golf swing. Then, in order to solve the problem that human joints will have the same joint angle under different movements, the human limb joint angles are defined and then the swing movements in the user video frames are evaluated.
Study on Gastrointestinal Nematodes of Equines in and around Bekoji, South Eastern Ethiopia
Authors: Mathewos Mesfin , Teshome Dereje , Fesseha Haben
Published: May 2022

Parasitic infections can cause a variety of respiratory, intestinal, and other problems in horses, as well as contribute to some performance issues. A cross-sectional study was undertaken in and around Bekoji, South Eastern Ethiopia, from November 2020 to June 2021 to identify species and evaluate the prevalence of gastrointestinal parasites in donkeys and horses, using direct fecal smear, floatation methods, and larval cultures. In this study, the overall prevalence of gastrointestinal nematode parasites was 94.5% (363 out of 384), with donkeys accounting for 95.8% and horses accounting for 90.5%. The coprological study indicated that an overall prevalence of gastrointestinal nematode parasites was 87%, 8.3%, 2.5%, 1.4%, and 0.8% for mixed parasite infection, nonmigratory strongylids, migratory strongylids, Parascaris equorum, and Oxyuris equi, respectively. Among mixed infections, nonmigratory strongylids+migratory strongylids (51.5%) occurred most frequently. The odds of male horses being infected by GIT nematodes were 1.59 times higher than male donkeys. Horses which have poor body condition were 2.94 times more infected than donkeys. The odds of old-aged donkeys were 3.11 times more infected than horses. A statistically significant difference (

p
<
0.05

) was observed in the prevalence of gastrointestinal nematodes with species and body conditions of the animals. However, no statistically significant difference (

p
>
0.05

) was seen in the prevalence of gastrointestinal nematode parasites between the sex and age of the Equidae. The mean fecal egg count of nematodes revealed that horses (

1364.4
±
483.5

) had a more severe infection than donkeys with a statistically significant difference (

p
<
0.05

). The current study determined there was a high prevalence of gastrointestinal nematode parasites in Equidae. Regular deworming, improved housing and nutrition management systems, increased animal owner awareness, and prevention techniques should all be undertaken to minimize the disease’s economic burden in the area.
A Determining Method of the Project Quality Guarantee Deposit under the Condition of Asymmetric Information with the Contractor’s Credit Level into Consideration
Authors: Nie Xiangtian , Zheng Ye , Wang Yuhao , Yang Qi , Wang Bo
Published: May 2022

On the basis of analyzing the relationship between a contractor’s credit, project quality assurance, owner’s monitoring level, and the quality guarantee deposit, the quality expected benefit model of the owner and the contractor was constructed under the conditions of symmetric information and asymmetric information, in which the owner assumed the primary responsibility for the project quality, the project characteristics were incorporated, the credit level was taken as the contractor’s decision variable, and the project quality monitoring level and detention of the quality guarantee deposit were taken as the owner’s decision variables. In light of the maximum value principle, an optimal solution to the owner’s quality monitoring decision and the quality deposit detention strategy was derived; through the simulation calculation, the decision-making results under different information conditions were analyzed.
Some New Dimensions to Construct Economical Circular Weakly Balanced Neighbor Robust Designs
Authors: Noreen Khadija , Rasheed Muhammad , Rasheed H. M. Kashif , Jamal Farrukh , Ahmed Rashid , Onyango Ronald
Published: May 2022

Neighbor-balanced designs are used in the experiments where the performance of a treatment is affected by the treatments applied to its neighboring units. These are well-known designs to balance the neighbor effects. Among these designs, minimal neighbor-balanced designs are economical; therefore, these are preferred by the experimenters. For

v

even, minimal neighbor balanced designs in circular blocks cannot be constructed for most of the cases, where

v

is number of treatments. In such situations, experimenters would like to relax the neighbor balance property up to some extent and consider the minimal circular weakly balanced neighbor designs as the better alternates to the minimal circular neighbor-balanced designs. In this article, some generators are developed to obtain minimal circular weakly balanced neighbor designs in blocks of equal, two and three different sizes.
Study on the Emergency Management System considering Victims’ Self‐Rescue Abilities
Authors: Liang Wei , Huang Yanyan , Wang Jianyu
Published: May 2022

The research on emergency response systems usually only considers the role of professional rescuers in emergency rescue or the activities taken by the victims in the process of self‐rescue, and the joint research of the victims and rescuers in the same environment is relatively few. Multiagent modeling technology is a promising tool for simulating natural disaster emergency response systems. Based on the background of the earthquake rescue operation, this paper studies the related contents of the cooperative emergency response system of disaster victims and rescuers by using the modeling and simulation method of the multiagent. On the premise of making full use of the victims’ ability to obtain information and move, it is proposed that the rescuers and the victims move together to the cluster point to complete the treatment to reduce the time wasted by the rescuers moving among the victims. This paper simulates different degrees of disaster through many experiments and simulates the influence of the relative speed of victims and rescuers by changing the moving speed of victims. It can be found that when there are many disaster victims, the collective rescue operation can reduce the overall emergency response time; when the movement speed of the victims is lower than that of the rescuers, the effect of the clustered rescue is similar to that of the victims waiting for rescue. When the movement speed of the victims is similar to that of the rescuers, the clustered emergency response is better than that of the victims waiting.
Pioglitazone Hydrochloride Extends the Lifespan of Caenorhabditis elegans by Activating DAF-16/FOXO- and SKN-1/NRF2-Related Signaling Pathways
Authors: Jia Wenjuan , Wang Chongyang , Zheng Jingming , Li Yimin , Yang Caixian , Wan Qin-Li , Shen Jie
Published: May 2022

Pioglitazone hydrochloride (PGZ), a nuclear receptor peroxisome proliferator-activated receptor gamma (PPAR-γ) agonist, is a universally adopted oral agent for the treatment of type 2 diabetes (T2D). Previous studies reported that PGZ could ameliorate the symptoms of aging-related diseases and Alzheimer’s disease. However, whether PGZ participates in aging regulation and the underlying mechanism remain undetermined. Here, we found that PGZ significantly prolonged the lifespan and healthspan of Caenorhabditis elegans (C. elegans). We found that a variety of age-related pathways and age-related genes are required for PGZ-induced lifespan extension. The transcription factors DAF-16/FOXO, HSF-1, and SKN-1/NRF2, as well as the nuclear receptors DAF-12 and NHR-49, all functioned in the survival advantage conferred by PGZ. Moreover, our results demonstrated that PGZ induced lifespan extension through the inhibition of insulin/insulin-like signaling (IIS) and reproductive signaling pathways, as well as the activation of dietary restriction- (DR-) related pathways. Additionally, our results also indicated that beneficial longevity mediated by PGZ is linked to its antioxidative activity. Our research may provide a basis for further research on PGZ, as an anti-T2D drug, to interfere with aging and reduce the incidence of age-related diseases in diabetic patients.