bluuebunny/crossref_metadata_2025 huggingface dataset:
BioLearner: A Machine Learning-Powered Smart Heart Disease Risk Prediction System Utilizing Biomedical Markers
Authors: Amer Syed Saad , Wander Gurleen , Singh Manmeet , Bahsoon Rami , Jennings Nicholas R. , Gill Sukhpal Singh
Published: December 2021

Heart disease kills more people around the world than any other disease, and it is one of the leading causes of death in the UK, triggering up to 74,000 deaths per year. An essential part in the prevention of deaths by heart disease and thus heart disease itself is the analysis of biomedical markers to determine the risk of a person developing heart disease. Lots of research has been conducted to assess the accuracy of detecting heart disease by analyzing biomedical markers. However, no previous study has attempted to identify the biomedical markers which are most important in this identification. To solve this problem, we proposed a machine learning-based intelligent heart disease prediction system called BioLearner for the determination of vital biomedical markers. This study aims to improve upon the accuracy of predicting heart disease and identify the most essential biological markers. This is done with the intention of composing a set of markers that impacts the development of heart disease the most. Multiple factors determine whether or not a person develops heart disease. These factors are thought to include age, history of chest pain (of different types), fasting blood sugar of different types, heart rate, smoking, and other essential factors. The dataset is analyzed, and the different aspects are compared. Various machine learning models such as [Formula: see text] Nearest Neighbours, Neural Networks, Support Vector Machine (SVM) are trained and used to determine the accuracy of our prediction for future heart disease development. BioLearner is able to predict the risk of heart disease with an accuracy of 95%, much higher than the baseline methods.
Analysis of the Driving Factors of Building Energy Consumption Growth in Smart Cities Based on the STIRPAT Model
Authors: Tang Hui
Published: December 2021

Energy consumption in smart cities relates to every energy consumed to carry out an activity, produce something, or exist in a structure. The most common measurement of energy efficiency is energy consumption per square meter in city residential areas. The states’ problematic energy consumption characteristics in smart cities may include climatic change, rainfall issues, water scarcity, and electricity generation. Thus, based on the states of households, an expanded proposed system of statistic determination impact conversion by positive, accurate technology (STIRPAT) model has been developed. STIRPAT model is collaborative research that aims to learn about the dynamic connections between human systems and the surrounding environment. There are two methods of the STIRPAT model to satisfy the characteristic of the proposed approach. The energetic counseling framework is an emerging technique that overcomes climatic change, electricity generation, and rainfall issues by sensing it in the environment. An algorithmic approach of the standard genetic method offers to conclude the problems into a cloud block mechanism for visualizing the states. Thus, the integrated technique of these two methods shows the factual implementation to overcome the statistical problems. Further research shows that, since the significant effect had been taken into account, the energy consumption per square meter in metropolitan residential buildings peak occurred eleven years later than without considering the dilution effect. The performance ratio of the STIRPAT model is estimated to be 98.3% by comparing with overall researches.
Torsional Vibration of a Pile in Transversely Isotropic Saturated Soil Considering Its Construction Disturbance Effect
Authors: Ma Wenjie , Shan Yao , Wang Binglong , Zhou Shunhua
Published: December 2021

The torsional dynamic response of a pile embedded in transversely isotropic saturated soil is investigated while allowing for the construction of disturbance effect. The dynamic governing equations of soil are established based on Biot’s poroelastic theory. By virtue of the continuous conditions of stress and displacement of adjacent disturbance circle and the boundary conditions of pile-soil coupling system, the circumferential displacement of soil and the shear stress on pile-soil contact surface are derived. Subsequently, a closed-form solution for the torsional dynamic response of a pile is derived in the frequency domain. By using inverse Fourier transform and the convolution theorem, a quasi-analytical solution for the velocity response of the pile head subjected to a semi-sine excitation torque is derived in the time domain. The proposed analytical solution is verified by comparing with the two existing solutions available in literature. Following the present solution, a parameter study is undertaken to portray the influence on the complex impedance, twist angle and torque of pile.
A Descriptive Survey on Face Emotion Recognition Techniques
Authors: Devi Bhagyashri , Preetha M. Mary Synthuja Jain
Published: December 2021

Recognition of natural emotion from human faces has applications in Human–Computer Interaction, image and video retrieval, automated tutoring systems, smart environment as well as driver warning systems. It is also a significant indication of nonverbal communication among the individuals. The assignment of Face Emotion Recognition (FER) is predominantly complex for two reasons. The first reason is the nonexistence of a large database of training images, and the second one is about classifying the emotions, which can be complex based on the static input image. In addition, robust unbiased FER in real time remains the foremost challenge for various supervised learning-based techniques. This survey analyzes diverse techniques regarding the FER systems. It reviews a bunch of research papers and performs a significant analysis. Initially, the analysis depicts various techniques that are contributed in different research papers. In addition, this paper offers a comprehensive study regarding the chronological review and performance achievements in each contribution. The analytical review is also concerned about the measures for which the maximum performance was achieved in several contributions. Finally, the survey is extended with various research issues and gaps that can be useful for the researchers to promote improved future works on the FER models.
Triangular matrix coalgebras: Representation theory and recollement
Authors: Fu Xuerong , Yao Hailou , Hu Yonggang
Published: December 2021

For any triangular matrix coalgebra [Formula: see text], in this paper, we first examine some connections between coalgebra properties of [Formula: see text] and its constituent coalgebras C, D, which contain semiperfectness, computability and row/column-finiteness of their left Cartan matices. Then we devote to considering the coresolution dimensions of recollement of comodule categories by investigating covariantly finite subcategories.
Charged thin-shell wormholes in f(R) gravity
Authors: Godani Nisha
Published: December 2021

In this paper, the charged thin-shell wormholes have been constructed by using cut-and-paste approach in the framework of [Formula: see text] theory of gravity. The stability analysis is performed in [Formula: see text] gravity formalism, where [Formula: see text] and [Formula: see text] are nonzero constants, with a linear equation of state. The stable and unstable regions have been examined for different values of the parameters involved in the model. The effect of charge and mass on the throat radius is analyzed and stability of thin shell is obtained.
On a Bianchi type-I space-time with bulk viscosity in f(R,T) gravity
Authors: Koussour M. , Bennai M.
Published: December 2021

In this paper, we present a spatially homogeneous and anisotropic Bianchi type-I cosmological model with a viscous bulk fluid in [Formula: see text] gravity where [Formula: see text] and [Formula: see text] are the Ricci scalar and trace of the energy-momentum tensor, respectively. The field equations are solved explicitly using the hybrid law of the scale factor, which is related to the average Hubble parameter and gives a time-varying deceleration parameter (DP). We found the deceleration parameter describing two phases in the universe, the early deceleration phase [Formula: see text] and the current acceleration phase [Formula: see text]. We have calculated some physical and geometric properties and their graphs, whether in terms of time or redshift. Note that for our model, the bulk viscous pressure [Formula: see text] is negative and the energy density [Formula: see text] is positive. The energy conditions and the [Formula: see text] analysis for our spatially homogeneous and anisotropic Bianchi type-I model are also discussed.
Rigid-Flexible Coupled Dynamics and PD-Robust Control Design for the Spacecraft with Rotating Solar Panels
Authors: Cao Yuteng , Cao Dengqing , He Guiqin , Hao Yuxin , Ge Xinsheng
Published: December 2021

The dynamical model for the spacecraft with multiple solar panels and the cooperative controller for such spacecraft are studied in this paper. The spacecraft consists of a rigid platform and two groups of flexible solar panels, where solar panels could be driven to rotate by the connecting shaft. The flexible solar panel involves the use of the orthogonal polynomial in two directions to describe its elastic deformation. By using the Rayleigh–Ritz method, the characteristic equation is derived to obtain natural frequencies and modal shapes of the whole spacecraft. Then the discrete rigid-flexible coupled dynamical equation of the spacecraft is obtained by using the Hamiltonian principle. The equation involves the coupling of the attitude maneuver, solar panels’ driving and vibration suppression. These dynamical behaviors are addressed by the rigid-flexible coupled mode for the first time in this paper. Based on the dynamical equation, the cooperative control scheme is designed by combing the proportional-differential and robust control method. Numerical results show the accuracy of the present modelling method and the validation of the control strategy. The modal analysis implies the complex rigid-flexible coupled characteristic between the central platform and flexible solar panels. The proposed control scheme can maintain the attitude stability while solar panels are being driven, as well as the vibration suppression of flexible solar panels.
Exceptional sets related to the largest digits in Lüroth expansions
Authors: Lin Shuyi , Li Jinjun , Lou Manli
Published: December 2021

Let [Formula: see text] denote the largest digit of the first [Formula: see text] terms in the Lüroth expansion of [Formula: see text]. Shen, Yu and Zhou, A note on the largest digits in Luroth expansion, Int. J. Number Theory 10 (2014) 1015–1023 considered the level sets [Formula: see text] and proved that each [Formula: see text] has full Hausdorff dimension. In this paper, we investigate the Hausdorff dimension of the following refined exceptional set: [Formula: see text] and show that [Formula: see text] has full Hausdorff dimension for each pair [Formula: see text] with [Formula: see text]. Combining the two results, [Formula: see text] can be decomposed into the disjoint union of uncountably many sets with full Hausdorff dimension.
An efficient numerical simulation and mathematical modeling for the prevention of tuberculosis
Authors: Zafar Zain Ul Abadin , Younas Samina , Zaib Sumera , Tunç Cemil
Published: December 2021

The main purpose of this research is to use a fractional-mathematical model including Atangana–Baleanu derivatives to explore the clinical associations and dynamical behavior of the tuberculosis. Herein, we used a lately introduced fractional operator having Mittag-Leffler kernel. The existence and inimitability problems to the relevant model were examined through the fixed-point theory. To verify the significance of the arbitrary fractional-order derivative, numerical outcomes were explored from the biological and mathematical viewpoints using the values of model parameters. The graphical simulations show the comparison of the predictor–corrector method (PCM) and Caputo method (CM) for different fractional orders and the results indicated the significant preference of PCM over CM.
One-step route for Z-scheme Al2(WO4)3/Bi2WO6 heterojunction toward superior photoelectric and photocatalytic performance
Authors: Tian Qizhi , Ouyang Weimin , Wang Yugui , Ji Yajun
Published: December 2021

Herein, Al2(WO[Formula: see text]/Bi2WO6 heterojunctions with [Formula: see text]-type structure were successfully prepared by a one-step hydrothermal method. Moreover, the effects of different composite ratios on the properties of materials were explored. The electrochemical tests and photocatalytic degradation experiments showed that the corresponding Al2(WO[Formula: see text]/Bi2WO6 heterojunctions all exhibited improved electrochemical performance and photocatalytic performance than that of the bare Bi2WO6 material. Especially, when the molar ratio of Al to Bi was 2:1, the obtained Al2(WO[Formula: see text]/Bi2WO6 heterojunction displayed the optimal photoelectric and photocatalytic performance. In detail, it depicted the highest photocurrent density, the smallest resistance and the fastest charge transfer rate. What’s more, the RhB solution (10 ppm) could be completely degraded in 30 min under visible-light irradiation, and the removal rate was almost 1.6 times than that of pure Bi2WO6 nanosheets. In the same condition, it also exhibited excellent photocatalytic performance for the degradation of tetracycline (TC) solution (10 ppm) and the K2Cr2O7 solution (40 ppm). These results fully manifested that the constructed Al2(WO[Formula: see text]/Bi2WO6 heterojunction possessed superior photoelectric conversion capacity and outstanding photocatalytic performance. Moreover, based on the obtained experimental results, a [Formula: see text]-scheme mechanism of catalytic degradation of RhB and TC under simulated solar light was proposed and discussed.
Gel polymer electrolyte combined lignocellulose with sodium alginate in lithium-ion battery
Authors: Xu Xi , Gan Junyuan , Huang Yun , Liu Jiapin , Zhao Ling , Li Chengwei , Chen Jiepeng , Li Xing , Wang Mingshan , Lin Yuanhua
Published: December 2021

The adoption of gel polymer electrolyte (GPE) is a solution to efficiently solve the serious security risk of lithium-ion batteries (LIBs). GPE based on lignocellulose (LC) and sodium alginate (SA) was prepared. When the proportion of SA reaches up to 20 wt.%, the obtained composite membrane has a liquid electrolyte uptake of 337 wt.% and a porosity of 58%, and its mechanical strength is over four times than that of pure LC-based membrane. In addition, the corresponding GPE with 20 wt.% SA (GLCSA-20) presents high lithium-ion transference number of 0.76, distinguished ion conductivity of 2.70 × 10[Formula: see text] S cm[Formula: see text], excellent discharge specific capacity (124 mAh cm[Formula: see text] at 1 C when 200th cycle of Li∥GLCSA-20∥LiFePO[Formula: see text] and outstanding cyclic stability. These virtues support that the GLCSA-20 has great potential for applications in safe LIBs.
GENDER, BOARD, AND WORKING CAPITAL
Authors: IMES MATTHEW , BAZEL-SHOHAM OFRA
Published: December 2021

This paper examines the effects of gender board diversity on working capital. The study uses a sample of S&P1500 firms, resulting in 9,157 firm-year observations from 2005 to 2019. Our findings show that greater gender diversity on corporate boards is associated with lower liquidity ratios, including lower non-cash ones. The results are robust to a battery of gender board diversity definitions and to a 2SLS analysis which employs the gender ratio in the county’s population in which the firm is headquartered as an instrumental variable. Based on additional tests of the effects of gender board diversity on managerial efficiency ratios, we conclude that the results are driven by superior monitoring associated with gender diversity on the board.
Non-negative Intensity for Target Strength Identification in Marine Ecosystem Research
Authors: Liu Daipei , Marburg Steffen , Kessissoglou Nicole
Published: December 2021

In this paper, we propose non-negative intensity (NNI) as an alternative intensity-based technique for target strength identification in marine ecosystem research. NNI identifies local surface regions of a body with positive-only sound power contributions. NNI is employed for sound scattering by fluid-loaded, fluid-filled elastic structures with weak scattering boundary conditions. Three numerical case studies are presented for which fully coupled fluid-structure interaction models based on the finite element method (FEM) and the boundary element method (BEM) are developed. To validate the three-way coupling between the structural and fluid domains, an elastic shell submerged in water and filled with different internal fluids is initially considered. Results for the scattered acoustic intensity obtained numerically are compared with analytical results from the literature. Models representing Antarctic krill of simple and complex geometry are developed. A 3×3 cylinder array representing a simplified aggregation of krill is also presented. Target strength is calculated using both the scattered intensity and NNI for different incident excitation angles. Results for NNI identify the surface regions of an individual organism or group of organisms with the greatest contribution to the scattered sound at the target strength locations.
Upadacitinib as Novel Treatment for Rheumatoid Arthritis with T-Cell Granular Lymphocytic Leukemia: A Case Report and Narrative Review
Authors: Cho Young Min , Anderson Erik W. , Guevara Sara , Miyara Santiago J. , Iqbal Aqsa , Aronsohn Judith , Molmenti Ernesto P. , Mumford James M. , Keber Barbara , Zonouzi-Zadeh Farideh , Ha Yousoun , Nikolinakos Petros G. , Flickinger Brent
Published: December 2021

T-cell large granular lymphocyte (T-LGL) leukemia is a rare and indolent clonal disorder of LGLs, associated with rheumatoid arthritis and neutropenia. The authors present a case of a 62-year-old male with rheumatoid arthritis (RA) who was diagnosed with T-LGL leukemia, with predominant neutropenia, and a poor response to conventional treatment. Subsequently, tofacitinib (a Janus Kinase 1 and 3 inhibitor, [JAK1/3 inhibitor]) resulted in improvement of the patient’s RA symptoms and temporary improvement of the neutropenia. Ultimately, upadacitinib (a specific JAK1 inhibitor) resulted in further improvement of the neutropenia and control of his RA. To the best of our knowledge, this is the first case report of coexisting RA and LGL leukemia that was treated with upadacitinib and showed clinical improvement.
Examining the Development of Banking Sector Regulations and Supervision Practices across BRICS and G7 Countries
Authors: Ahmad Alam , Khan Asif , Akhtar Samreen , Akram Hafiz Wasim
Published: December 2021

The study examines the development in the banking regulatory practices across BRICS nations over the period 2000–2019. The convergence and sustainability of the regulatory framework in BRICS nations to G7 norms have also been assessed. The analysis is based on five key regulatory measures, which include activity restrictions, entry requirements for a new bank, foreign bank entry restrictions, capital stringency, and deposit insurer powers. The study constructs the regulatory indexes based on the central bank responses to the Bank Regulation and Supervision Survey (BRSS) conducted by the World Bank. To estimate the indexes, the study follows Barth, Caprio, and Levine guidelines. The result reveals that the regulators of BRICS countries impose higher restrictions on bank activities than in the G7 nations. Furthermore, the United Kingdom and Brazilian bank regulators are more liberal and imposed fewer restrictions on insurance activity only. In addition, getting a bank license is tough in both regions. Regulators allow only fit and proper applicants into the banking domain. Furthermore, the authors find that the requirements for capital are becoming more restricted in BRICS nations between 2003 and 2019 to align with Basel capital accords, relative to G7 nations. The study documents a convergence in the banking licensing requirements, and limitations on foreign bank entry and official supervisory powers in the BRICS countries with the G7 nations. The study suggests that the regulators must offer freedom to banks’ activities with increasing supervision, and it boosts the competition in the banking sector and enhances customer welfare. Furthermore, the policymakers need to redesign the deposit insurance mechanism and equip deposit insurers with more powers to enhance the safety of depositors’ interests and minimize the moral hazards in the banking sector in both regions.
Association of CDKAL1 RS10946398 Gene Polymorphism with Susceptibility to Diabetes Mellitus Type 2: A Meta-Analysis
Authors: Xu Ning , Zhang Ting-Ting , Han Wen-Jia , Yin Li-Ping , Ma Nan-Zheng , Shi Xiu-Yan , Sun Jiang-Jie
Published: December 2021

Background. Diabetes is one of the common chronic diseases in which susceptibility is determined by a combination of genetic and environmental factors, and more than 90% of diabetic patients are diabetes mellitus type 2 (T2DM). The existing studies on the association between CDKAL1 rs10946398 gene polymorphism and susceptibility to type 2 diabetes are inconsistent across populations. Aim. We aim to explore the association between CDKAL1 rs10946398 gene polymorphism and susceptibility to type 2 diabetes in different populations. Methods. We examined all studies before June 12, 2021, that associated CDKAL1 rs10946398 with T2DM. Heterogeneity was assessed by meta-analysis of allelic inheritance models (A vs. C), dominant inheritance models (AA vs. AC+CC), and recessive inheritance model (AA+AC vs. CC);

I

2

was used to assess the heterogeneity (if

I

2

<
50

%, the fixed-effects model was used; if

I

2

≥
50

%, the random-effects model was used for data consolidation); correlation was judged by a forest map; potential publication bias was tested by the Egger test (

p
>
0.05

indicates that there is no publication bias). Results. Fourteen data totaling 30288 subjects, including 19272 controls and 11016 patients with T2DM, met our inclusion criteria. In the Asian population, the differences were statistically significant (

p
<
0.01

) for dominant genetic model (

OR
=
0.75

,

95
%
CI
=
0.64

-0.88,

p
=
0.0003

). But the allelic effect model (

OR
=
0.87

,

95
%
CI
=
0.75

-1.02,

p
=
0.08

) and the recessive genetic model (

OR
=
0.85

,

95
%
CI
=
0.66

-1.10,

p
=
0.23

) were not statistically significant (

p
>
0.01

). In the non-Asian population, the differences were statistically significant (

p
<
0.01

) for the allelic effect model (

OR
=
0.83

,

95
%
CI
=
0.77

-0.88,

p
<
0.00001

), the dominant model (

OR
=
0.79

,

95
%
CI
=
0.72

-0.87,

p
<
0.00001

), and the recessive model (

OR
=
0.78

,

95
%
CI
=
0.70

-0.87,

p
<
0.0001

). Conclusion. In this study, CDKAL1 RS10946398 was positively associated with T2DM, but the association was different in Asian populations.
[Retracted] Computer Mathematical Modeling Based on the Improved Genetic Algorithm and Mobile Computing
Authors: Wei Huixian , Liu Jia
Published: December 2021

In order to change the problem of data redundancy in a genetic algorithm, this paper proposes a computer mathematical model based on the combination of an improved genetic algorithm and mobile computing. Combined with the least square method, MATLAB software is used to solve the equations, determine the range of parameters, and solve the estimation parameter range and identification problems. The improved genetic algorithm combined with mobile computing and least square method to establish a mathematical model greatly increased the individual search space and increased the operation rate of 90% compared to the basic genetic algorithm or mobile computing. The results show that the improved genetic algorithm and mobile computing have a certain ability to identify the optimal solution and greatly improve the work efficiency.
Is It Stevens–Johnson Syndrome or MIS-C with Mucocutaneous Involvement?
Authors: Karimi Abdollah , Pourbakhtiaran Elham , Fallahi Mazdak , karbasian Fereshteh , Armin Shahnaz , Babaie Delara
Published: December 2021

Background. Severe acute respiratory syndrome coronavirus-2 (SARS-COV-2) can be present in the form of multisystem inflammatory disease in children. Case Presentation. A 25-month-old boy presented with fever, malaise, diffuse maculopapular rashes, and mucosal involvement during the COVID-19 pandemic. He was first diagnosed with Stevens–Johnson syndrome (SJS). Further evaluation revealed lymphopenia, thrombocytopenia, and elevated levels of C-reactive protein (CRP), ferritin, and fibrinogen. This was followed by a positive polymerase chain reaction (PCR) test for COVID-19. In addition to receiving initial care for SJS, he was treated for MIS-C, which led to his recovery after four days. Conclusion. COVID-19 infection should be considered in children with fever and dermatological features during the pandemic because it may cause different features of the multisystem inflammatory syndrome in children (MIS-C), suggestive of delayed hyperimmune response.
RSL3 Drives Ferroptosis through NF‐κB Pathway Activation and GPX4 Depletion in Glioblastoma
Authors: Li Shengbiao , He Yuping , Chen Kexin , Sun Jiaojiao , Zhang Lulu , He Yaxin , Yu Hong , Li Qiuhong
Published: December 2021

Glioblastoma, the most aggressive form of malignant glioma, is very difficult to treat because of its aggressively invasive nature and high recurrence rates. RAS‐selective lethal 3 (RSL3), a well‐known inhibitor of glutathione peroxidase 4 (GPX4), could effectively induce oxidative cell death in glioblastoma cells through ferroptosis, and several signaling pathways are involved in this process. However, the role of the nuclear factor kappa‐B (NF‐κB) pathway in glioblastoma cell ferroptosis has not yet been investigated. Therefore, we aimed to clarify the underlying mechanism of the NF‐κB pathway in RSL3‐induced ferroptosis in glioblastoma cells. We found that RSL3 led to an increase in lipid ROS concentration and downregulation of ferroptosis‐related proteins such as GPX4, ATF4, and SLC7A11 (xCT) in glioblastoma cells. Additionally, the NF‐κB pathway was activated by RSL3, and its inhibition by BAY 11‐7082 could alleviate ferroptosis. The murine xenograft tumor model indicated that NF‐κB pathway inhibition could mitigate the antitumor effects of RSL3 in vivo. Furthermore, we found that GPX4 knockdown could not effectively induce ferroptosis. However, NF‐κB pathway activation coupled with GPX4 silencing induced ferroptosis. Additionally, ATF4 and xCT expression might be regulated by the NF‐κB pathway. Collectively, our results revealed that the NF‐κB pathway plays a novel role in RSL3‐induced ferroptosis in glioblastoma cells and provides a new therapeutic strategy for glioblastoma treatment.
Optimal Pricing and Service Investment of Home-Sharing Platforms in a Duopoly Market
Authors: Li Yingna , Ma Pengfei
Published: December 2021

In this paper, we construct a fully covered duopoly market model. In this market, two home-sharing platforms provide differentiated rental services to consumers, respectively, and each platform has two strategies: short-term rental strategy and long-term rental strategy. This paper studies the pricing decisions and service investment of home-sharing platforms in a competitive market. The results show that, in the market equilibrium, how the platform chooses the strategy largely depends on the service quality of competitors. Specifically, when the difference in service quality is small, it is better for the two platforms to adopt the short-term rental strategy; otherwise, the two platforms are more inclined to adopt the long-term rental strategy. We also find that the commission rate and service cost will also affect the profitability of the platform. Finally, we extend the model to the uncovered market.
Personal Experience of Daboia siamensis Envenomation
Authors: Tsai Tein-Shun , Liu Chun-Chieh , Chuang Po-Chun
Published: December 2021

Reports of envenomation induced by Daboia siamensis, a medically important venomous snake in Taiwan, are rare, and species identification might not be definitive. This article reports the complete course of a definite D. siamensis bite. The patient in this report was one of the authors who was bitten on the right palm near the base of the index finger by D. siamensis. The patient experienced local effects, neurological manifestations, and acute kidney injury. The laboratory analysis revealed elevated D-dimer and coagulopathy. The patient was administered 8 vials of antivenom and did not undergo surgical intervention or endotracheal tube intubation, but serum sickness occurred 8 days after antivenom administration. The horse immunoglobulin produced by the Centers for Disease Control, R. O. C. (Taiwan), against D. siamensis was effective and safe in the treatment of the patient. However, the best antivenom administration strategy remains unclear and requires further study.
[Retracted] Interpolation Parameters in Inverse Distance‐Weighted Interpolation Algorithm on DEM Interpolation Error
Authors: Liu Zhiqiang , Xu Bo , Cheng Bo , Hu Xiaomei
Published: December 2021

Although DEM occupies an important basic position in spatial analysis, so far, the quality of DEM modeling has still not reached a satisfactory accuracy. This research mainly discusses the influence of interpolation parameters in the inverse distance‐weighted interpolation algorithm on the DEM interpolation error. The interpolation parameters to be studied in this paper are the number of search points, the search direction, and the smoothness factor. In order to study the optimization of IDW parameters, the parameters that have uncertain effects on DEM interpolation are found through analysis, such as the number of search points and smoothing factor. This paper designs an experiment for the optimization of the interpolation parameters of the polyhedral function and finds the optimal interpolation parameters through experimental analysis. Of course, the “optimum” here is not the only one, but refers to different terrain areas, which makes the interpolation results relatively good. The selection of search points will be one of the research focuses of this article. After determining the interpolation algorithm, the kernel function is also one of the important factors that affect the accuracy of DEM. The value of the smoothing factor in the kernel function has always been the focus of DEM interpolation research. Different terrains, different interpolations, and functions will have different optimal smoothing factors. The search direction is to ensure that the sampling points are distributed in all directions when the sampling points are sparse and to improve the contribution rate of the sampling points to the interpolation points. The selection of search shape is to improve computing efficiency and has no effect on DEM accuracy; the search radius is mainly controlled by the number of search points, and there are two methods: adaptive search radius and variable length search radius. When the weight coefficient k = 1, 2, 3, 4, the number of sampling points involved in the interpolation calculation is different, and the error in the residual varies greatly, and both increase with the increase of the number of sampling points in the parameter interpolation calculation. This research will help improve the quality evaluation of DEM.
Erythrocyte Fraction in Thrombi Is Increased with Serum Iron by Influencing Fibrin Networks via Oxidative Stress
Authors: Liu Mingli , Chen Minghui , Hao Zhongfei , Li Qingbin , Feng Yan , Li Yongli , Li Ruiyan
Published: December 2021

Objective. This study investigated whether the erythrocyte fraction in thrombi would be increased with serum iron via oxidative stress. Methods. This study retrospectively enrolled patients with acute ischemic stroke treated using endovascular treatment in a single stroke center from October to December 2019. We examined the relationship between serum iron and erythrocyte‐rich thrombi and the correlation of serum iron and the erythrocyte fraction in thrombi using clinical samples. Experiments in vivo and in vitro were performed to investigate the influence of oxidative stress on the correlation between serum iron concentration and erythrocyte fraction in thrombi. Results. We found from the clinical samples that serum iron concentration was related to erythrocyte‐rich thrombi and positively associated with the erythrocyte fraction in thrombi in vivo. Further, the tightness of the fibrin networks regulating the erythrocyte fraction in thrombi was increased with serum iron concentration in vivo. Additionally, the oxidative stress level was increased with serum iron concentration in vivo. Moreover, we found that the tightness of the fibrin networks increased with higher oxidative stress levels in vitro. Lastly, experiments in vivo with inhibiting oxidative stress showed that the erythrocyte fraction in thrombi and the tightness of fibrin networks significantly increased in the iron group than those in the iron with oxidative stress inhibitor group and control group. Conclusions. Oxidative stress played a role in the process that the erythrocyte fraction in thrombi was increased with serum iron by influencing fibrin networks.
Organizational Adaptability Influenced by Practice Strategy, Environmental Dynamism, and Absorptive Capacity
Authors: Gong Yunhao , Le Yun , Zhang Xinyue , Chen Xiaoyan , Zeng Hui
Published: December 2021

The adaptability of organizations to their environment has always been a key concern in both organizational theory and management practice. Different from the single perspective of previous studies, this research adopts an integrated, outside‐in perspective. Employing an agent‐based simulation model (ASM) and a multiple regression model (MRM), we examine the impact of the intensity of exploitative and exploratory practice on organizational adaptability, as well as the moderating effect of environmental dynamism and organizational absorptive capacity. The results of the research show that (1) the stable environment prefers organizations with a practice strategy of high exploitation and low exploration; (2) environmental dynamism inhibits the impact of both exploitative and exploratory practices on organizational adaptability; and (3) organizational absorptive capacity significantly reinforces the link between the intensity of exploitative practice, as well as exploratory practice, and organizational adaptability. The study investigates the external alignment of organizational exploratory and exploitative practices with environmental dynamism and internal fit with absorptive capacity. The findings provide new insight into the question of how organizations can resist the erosion of environmental dynamism through strategic alignment and capacity development.
Neospora caninum Infection in Cattle in the Province of Kohgiluyeh and Boyer Ahmad, Southwest of Iran: Seroprevalence and Molecular Assessment
Authors: Darijani Atefeh , Arefkhah Nasir , Shahriarirad Sepehr , Zoghi Sina , Namavari Mehdi , Moshfe Abdolali , Zaraei Marzieh , Sarkari Bahador
Published: December 2021

Introduction. Among the protozoa of veterinary importance, Neospora caninum is responsible for large economic and productive losses in cattle herds. Dogs are being considered the definitive hosts of the parasite. Neospora caninum has gained considerable attention through its role in the etiology of bovine abortion. The current study aimed at assessing the status of Neospora infection in cattle in Boyer-Ahmad County in Kohgiluyeh and Boyer-Ahmad province, southwest of Iran. Methods. In this cross-sectional study, 150 cattle blood samples were collected and samples were screened for N. caninum antibodies using a modified direct agglutination test (MAT). For the same samples, 130 buffy coats were collected and tested, by PCR, for the presence of N. caninum DNA, targeting the Nc-5 gene. Results. Anti-N. caninum antibodies were detected in the sera of 49 out of 150 cattle which is corresponding to a seroprevalence rate of 32.7%. Neospora DNA was detected in buffy coats of 26 out of 127 (20.47%) cattle. Even though Neospora infection was more common in females and in five-year-old cattle by serology and molecular methods, yet there was no statistically significant difference between age, sex, and Neospora infection in both molecular and serological methods (

p
>
0.05

). Conclusion. Findings of the current study indicate a high rate of N. caninum infection in cattle of Boyer-Ahmad region in the southwest of Iran. This issue should be further investigated and the prevention and control of this parasite in livestock, due to the high financial burden of this parasite in the livestock industry, should be considered.
Multiresponse Optimization of Linkage Parameters of a Compliant Mechanism Using Hybrid Genetic Algorithm‐Based Swarm Intelligence
Authors: Alfattani Rami , Yunus Mohammed , Alamro Turki , Alnaser Ibrahim A.
Published: December 2021

This research focuses on the synthesis of linkage parameters for a bistable compliant system (BSCS) to be widely implemented within space applications. Initially, BSCS was theoretically modeled as a crank‐slider mechanism, utilizing pseudo‐rigid‐body model (PRBM) on stiffness coefficient (v), with a maximum vertical footprint (bmax) for enhancing vibration characteristics. Correlations for mechanism linkage parameters (MLPs) and responses (v and bmax) were set up by utilizing analysis of variance for response surface (RSM) technique. RSM evaluated the impact of MLPs at individual/interacting levels on responses. Consequently, a hybrid genetic algorithm‐based particle swarm/flock optimization (GA‐PSO) technique was employed and optimized at multiple levels for assessing ideal MLP combinations, in order to minimize characteristics (10% v + 90% of bmax). Finally, GA‐PSO estimated the most appropriate Pareto‐frontal optimum solutions (PFOS) from nondominance set and crowd/flocking space approaches. The resulting PFOS from validation trials demonstrated significant improvement in responses. The adapted GA‐PSO algorithm was executed with ease, extending the convergence period (through GA) and exhibiting a good diversity of objectives, allowing the development of large‐scale statistics for all MLP permutations as optimal solutions. A vast set of optimal solutions can be used as a reference manual for mechanism developers.
Synthesis, Characterization, and Spectroscopic Studies of Bis-(meso-4-methoxyphenyl)-Benziporphyrin and Its Pd-Metal Complex
Authors: Mulugeta Endale , Lee Chang-Hee
Published: December 2021

Benziporphyrin systems are widely explored, yet alternative improved synthetic routes towards these systems are needed. Here, a fairly and efficient synthesis of the free base and its metal complex is well designed. Dimethoxybenzene dicarbinol intermediate was prepared in excellent yields by reacting 4-methoxyphenylmagnesium bromide with isophthaladehyde in diethyl ether. Reaction with equivalent pyrrole and pentafluorobenzaldehyde in the presence of trifluoroacetic acid (TFA), followed by oxidation with 2,3-dichloro-5,6-dicyano-1,4-benzoquinone (DDQ), provided good yields of bis-(meso-4-methoxyphenyl)-benziporphyrin. Metalation of the free base was performed using palladium(II) acetate salt in acetonitrile. All intermediates and the final products are fully characterized using NMR, HMRS, and UV-Vis spectroscopies and briefly discussed.
p57 Suppresses the Pluripotency and Proliferation of Mouse Embryonic Stem Cells by Positively Regulating p53 Activation
Authors: Li Na , Du Zhaoyu , Li Yunxiang , Xu Wenjing , Yang Yumei , Peng Haodong , Song Tianxiang , Qin Qihua , Lei Huining , Hua Jinlian
Published: December 2021

Embryonic stem cells (ESCs) are pluripotent stem cells that have indefinite self-renewal capacities under appropriate culture conditions in vitro. The pluripotency maintenance and proliferation of these cells are delicately governed by the concert effect of a complex transcriptional regulatory network. Herein, we discovered that p57Kip2 (p57), a cyclin-dependent kinase inhibitor canonically inhibiting cell proliferation, played a role in suppressing the pluripotency state of mouse ESCs (mESCs). p57 knockdown significantly stimulated the expressions of core pluripotency factors NANOG, OCT4, and SOX2, while p57 overexpression inhibited the expressions of these factors in mESCs. In addition, consistent with its function in somatic cells, p57 suppressed mESC proliferation. Further analysis showed that p57 could interact with and contribute to the activation of p53 in mESCs. In conclusion, the present study showed that p57 could antagonize the pluripotency state and the proliferation process of mESCs. This finding uncovers a novel function of p57 and provides new evidence for elucidating the complex regulatory of network of mESC fate.
Study on the Mechanism of Acori Graminei Rhizoma in the Treatment of Alzheimer’s Disease Based on Network Pharmacology and Molecular Docking
Authors: Du Yi Kuan , Xiao Yue , Zhong Shao Min , Huang Yi Xing , Chen Qian Wen , Zhou Yu Qi , Guo Jin Yan , Yang Chun
Published: December 2021

Alzheimer’s disease is a common neurodegenerative disease in the elderly. This study explored the curative effect and possible mechanism of Acori graminei rhizoma on Alzheimer’s disease. In this paper, 8 active components of Acori graminei rhizoma were collected by consulting literature and using the TCMSP database, and 272 targets were screened using the PubChem and Swiss Target Prediction databases. Introduce it into the software of Cytoscape 3.7.2 and establish the graph of “drug‐active ingredient‐ingredient target.” A total of 276 AD targets were obtained from OMIM, Gene Cards, and DisGeNET databases. Import the intersection targets of drugs and diseases into STRING database for enrichment analysis, and build PPI network in the Cytoscape 3.7.2 software, whose core targets involve APP, AMPK, NOS3, etc. GO analysis and KEGG analysis showed that there were 195 GO items and 30 AD‐related pathways, including Alzheimer’s disease pathway, serotonin synapse, estrogen signaling pathway, dopaminergic synapse, and PI3K‐Akt signaling pathway. Finally, molecular docking was carried out to verify the binding ability between Acori graminei rhizoma and core genes. Our results predict that Acori graminei rhizoma can treat AD mainly by mediating Alzheimer’s signal pathway, thus reducing the production of Aβ, inhibiting the hyperphosphorylation of tau protein, regulating neurotrophic factors, and regulating the activity of kinase to change the function of the receptor.
Application of Heart Rate Acceleration Motion Wireless Sensor Fusion in Individual Special Competitive Sports
Authors: Chang Bu
Published: December 2021

Heart rate monitoring is becoming more and more important in the development of modern health industry. At present, wireless sensor network equipment is mainly used to realize the real‐time or periodic monitoring of human heart rate, so as to realize the health management of specific people. At the same time, the monitoring and analysis technology of heart rate is also widely used in special competitive sports. Through the real‐time monitoring and analysis of athletes’ heart rate, we can feedback and analyze their corresponding competitive state in real time, so as to monitor the sudden state of athletes, and also provide a basis for the improvement of athletes’ later sports level. Based on this, this paper will use a single‐chip microcomputer as the central data processing unit of the monitoring system at the hardware level, and inertial sensor and heart rate sensor at the sensor level. The system will design data acquisition module, motion positioning module, low‐power module, athlete heart rate acquisition module, and motion state recognition module. Aiming at the low accuracy of traditional heart rate acceleration motion wireless sensor in competitive sports athletes’ heart rate recognition and motion state recognition, this paper innovatively proposes an athlete heart rate recognition algorithm based on acceleration signal, which extracts the frequency‐domain characteristics of motion signal. The time‐domain and time‐frequency characteristics of athletes’ acceleration signal are used to realize the recognition of athletes’ sports state, and the power spectrum cancellation technology is used to realize the accurate detection of athletes’ heart rate. In order to verify the advantages of the hardware system and algorithm in this paper, three sports with quiet, dynamic, and random dynamic characteristics are selected for experimental verification. The experimental results show that the software algorithm proposed in this paper has obvious accuracy advantages in quiet and dynamic competitive sports compared with the traditional algorithm.
Method for Forecasting Urban National Sports and Fitness Demand Based on Ant Colony Algorithm
Authors: Wu Jianhui
Published: December 2021

With the continuous development of social economy, when people are pursuing economic income, they are also gradually paying attention to their own physical health. They achieve their own physical exercise through sports such as running, fitness, and mountaineering, but these sports often require a certain venue and equipment. Therefore, in view of these sports fitness demands, the ant colony algorithm is introduced to sort out the fitness activities in the context of urban residents’ supply and demand relationships, analyze the demand from both subjective and objective aspects, and explore the lack of supply of sports facilities in this paper. Analysis is conducted from cognitive and national fitness, social needs, habits, and other perspectives. It tries to guide the rational allocation and creation of resources, obtain residents’ fitness awareness and support, and provide corresponding suggestions and support for residents’ fitness activities. The simulation experimental results show that the ant colony algorithm is effective and can support the predictive analysis of the urban national fitness demand.
Financial Market Prediction and Simulation Based on the FEPA Model
Authors: Zhou Dehui
Published: December 2021

Since the birth of the financial market, the industry and academia want to find a method to accurately predict the future trend of the financial market. The ultimate goal of this paper is to build a mathematical model that can effectively predict the short-term trend of the financial time series. This paper presents a new combined forecasting model: its name is Financial Time Series-Empirical Mode Decomposition-Principal Component Analysis-Artificial Neural Network (FEPA) model. This model is mainly composed of three components, which are based on financial time series special empirical mode decomposition (FTA-EMD), principal component analysis (PCA), and artificial neural network. This model is mainly used to model and predict the complex financial time series. At the same time, the model also predicts the stock market index and exchange rate and studies the hot fields of the financial market. The results show that the empirical mode decomposition back propagation neural network (EMD-BPNN) model has better prediction effect than the autoregressive comprehensive moving average model (ARIMA), which is mainly reflected in the accuracy of prediction. This shows that the prediction method of decomposing and recombining nonlinear and nonstationary financial time series can effectively improve the prediction accuracy. When predicting the closing price of Australian stock index, the hit rate (DS) of the FEPA model decomposition method is 72.22%, 10.86% higher than the EMD-BPNN model and 3.23% higher than the EMD-LPP-BPNN model. When the FEPA model predicts the Australian stock index, the hit rate is improved to a certain extent, and the effect is better than other models.